#impact of python on data science ml

[aionlinemoney]

The Role of Machine Learning Engineer: Combining Technology and Artificial Intelligence

Artificial intelligence has transformed our daily lives in a greater way than we can’t imagine over the past year, Impacting how we work, communicate, and solve problems. Today, Artificial intelligence furiously drives the world in all sectors from daily life to the healthcare industry. In this blog we will learn how machine learning engineer build systems that learn from data and get better over time, playing a huge part in the development of artificial intelligence (AI). Artificial intelligence is an important field, making it more innovative in every industry. In the blog, we will look career in Machine learning in the field of engineering.

What is Machine Learning Engineering?

Machine Learning engineer is a specialist who designs and builds AI models to make complex challenges easy. The role in this field merges data science and software engineering making both fields important in this field. The main role of a Machine learning engineer is to build and design software that can automate AI models. The demand for this field has grown in recent years. As Artificial intelligence is a driving force in our daily needs, it become important to run the AI in a clear and automated way.

A machine learning engineer creates systems that help computers to learn and make decisions, similar to human tasks like recognizing voices, identifying images, or predicting results. Not similar to regular programming, which follows strict rules, machine learning focuses on teaching computers to find patterns in data and improve their predictions over time.

Responsibility of a Machine Learning Engineer:

Collecting and Preparing Data

Machine learning needs a lot of data to work well. These engineers spend a lot of time finding and organizing data. That means looking for useful data sources and fixing any missing information. Good data preparation is essential because it sets the foundation for building successful models.

Building and Training Models

The main task of Machine learning engineer is creating models that learn from data. Using tools like TensorFlow, PyTorch, and many more, they build proper algorithms for specific tasks. Training a model is challenging and requires careful adjustments and monitoring to ensure it’s accurate and useful.

Checking Model Performance

When a model is trained, then it is important to check how well it works. Machine learning engineers use scores like accuracy to see model performance. They usually test the model with separate data to see how it performs in real-world situations and make improvements as needed.

Arranging and Maintaining the Model

After testing, ML engineers put the model into action so it can work with real-time data. They monitor the model to make sure it stays accurate over time, as data can change and affect results. Regular updates help keep the model effective.

Working with Other Teams

ML engineers often work closely with data scientists, software engineers, and experts in the field. This teamwork ensures that the machine learning solution fits the business goals and integrates smoothly with other systems.

Important skill that should have to become Machine Learning Engineer:

Programming Languages

Python and R are popular options in machine learning, also other languages like Java or C++ can also help, especially for projects needing high performance.

Data Handling and Processing

Working with large datasets is necessary in Machine Learning. ML engineers should know how to use SQL and other database tools and be skilled in preparing and cleaning data before using it in models.

Machine Learning Structure

ML engineers need to know structure like TensorFlow, Keras, PyTorch, and sci-kit-learn. Each of these tools has unique strengths for building and training models, so choosing the right one depends on the project.

Mathematics and Statistics

A strong background in math, including calculus, linear algebra, probability, and statistics, helps ML engineers understand how algorithms work and make accurate predictions.

Why to become a Machine Learning engineer?

A career as a machine learning engineer is both challenging and creative, allowing you to work with the latest technology. This field is always changing, with new tools and ideas coming up every year. If you like to enjoy solving complex problems and want to make a real impact, ML engineering offers an exciting path.

Conclusion 

Machine learning engineer plays an important role in AI and data science, turning data into useful insights and creating systems that learn on their own. This career is great for people who love technology, enjoy learning, and want to make a difference in their lives. With many opportunities and uses, Artificial intelligence is a growing field that promises exciting innovations that will shape our future. Artificial Intelligence is changing the world and we should also keep updated our knowledge in this field, Read AI related latest blogs here.

[learnershub101]

25 Udemy Paid Courses for Free with Certification (Only for Limited Time)

2023 Complete SQL Bootcamp from Zero to Hero in SQL

Become an expert in SQL by learning through concept & Hands-on coding :)

What you'll learn

Use SQL to query a database Be comfortable putting SQL on their resume Replicate real-world situations and query reports Use SQL to perform data analysis Learn to perform GROUP BY statements Model real-world data and generate reports using SQL Learn Oracle SQL by Professionally Designed Content Step by Step! Solve any SQL-related Problems by Yourself Creating Analytical Solutions! Write, Read and Analyze Any SQL Queries Easily and Learn How to Play with Data! Become a Job-Ready SQL Developer by Learning All the Skills You will Need! Write complex SQL statements to query the database and gain critical insight on data Transition from the Very Basics to a Point Where You can Effortlessly Work with Large SQL Queries Learn Advanced Querying Techniques Understand the difference between the INNER JOIN, LEFT/RIGHT OUTER JOIN, and FULL OUTER JOIN Complete SQL statements that use aggregate functions Using joins, return columns from multiple tables in the same query

Enroll Now 👇👇👇👇👇👇👇 https://www.book-somahar.com/2023/10/25-udemy-paid-courses-for-free-with.html

Python Programming Complete Beginners Course Bootcamp 2023

2023 Complete Python Bootcamp || Python Beginners to advanced || Python Master Class || Mega Course

What you'll learn

Basics in Python programming Control structures, Containers, Functions & Modules OOPS in Python How python is used in the Space Sciences Working with lists in python Working with strings in python Application of Python in Mars Rovers sent by NASA

Enroll Now 👇👇👇👇👇👇👇 https://www.book-somahar.com/2023/10/25-udemy-paid-courses-for-free-with.html

Learn PHP and MySQL for Web Application and Web Development

Unlock the Power of PHP and MySQL: Level Up Your Web Development Skills Today

What you'll learn

Use of PHP Function Use of PHP Variables Use of MySql Use of Database

Enroll Now 👇👇👇👇👇👇👇 https://www.book-somahar.com/2023/10/25-udemy-paid-courses-for-free-with.html

T-Shirt Design for Beginner to Advanced with Adobe Photoshop

Unleash Your Creativity: Master T-Shirt Design from Beginner to Advanced with Adobe Photoshop

What you'll learn

Function of Adobe Photoshop Tools of Adobe Photoshop T-Shirt Design Fundamentals T-Shirt Design Projects

Enroll Now 👇👇👇👇👇👇👇 https://www.book-somahar.com/2023/10/25-udemy-paid-courses-for-free-with.html

Complete Data Science BootCamp

Learn about Data Science, Machine Learning and Deep Learning and build 5 different projects.

What you'll learn

Learn about Libraries like Pandas and Numpy which are heavily used in Data Science. Build Impactful visualizations and charts using Matplotlib and Seaborn. Learn about Machine Learning LifeCycle and different ML algorithms and their implementation in sklearn. Learn about Deep Learning and Neural Networks with TensorFlow and Keras Build 5 complete projects based on the concepts covered in the course.

Enroll Now 👇👇👇👇👇👇👇 https://www.book-somahar.com/2023/10/25-udemy-paid-courses-for-free-with.html

Essentials User Experience Design Adobe XD UI UX Design

Learn UI Design, User Interface, User Experience design, UX design & Web Design

What you'll learn

How to become a UX designer Become a UI designer Full website design All the techniques used by UX professionals

Enroll Now 👇👇👇👇👇👇👇 https://www.book-somahar.com/2023/10/25-udemy-paid-courses-for-free-with.html

Build a Custom E-Commerce Site in React + JavaScript Basics

Build a Fully Customized E-Commerce Site with Product Categories, Shopping Cart, and Checkout Page in React.

What you'll learn

Introduction to the Document Object Model (DOM) The Foundations of JavaScript JavaScript Arithmetic Operations Working with Arrays, Functions, and Loops in JavaScript JavaScript Variables, Events, and Objects JavaScript Hands-On - Build a Photo Gallery and Background Color Changer Foundations of React How to Scaffold an Existing React Project Introduction to JSON Server Styling an E-Commerce Store in React and Building out the Shop Categories Introduction to Fetch API and React Router The concept of "Context" in React Building a Search Feature in React Validating Forms in React

Enroll Now 👇👇👇👇👇👇👇 https://www.book-somahar.com/2023/10/25-udemy-paid-courses-for-free-with.html

Complete Bootstrap & React Bootcamp with Hands-On Projects

Learn to Build Responsive, Interactive Web Apps using Bootstrap and React.

What you'll learn

Learn the Bootstrap Grid System Learn to work with Bootstrap Three Column Layouts Learn to Build Bootstrap Navigation Components Learn to Style Images using Bootstrap Build Advanced, Responsive Menus using Bootstrap Build Stunning Layouts using Bootstrap Themes Learn the Foundations of React Work with JSX, and Functional Components in React Build a Calculator in React Learn the React State Hook Debug React Projects Learn to Style React Components Build a Single and Multi-Player Connect-4 Clone with AI Learn React Lifecycle Events Learn React Conditional Rendering Build a Fully Custom E-Commerce Site in React Learn the Foundations of JSON Server Work with React Router

Enroll Now 👇👇👇👇👇👇👇 https://www.book-somahar.com/2023/10/25-udemy-paid-courses-for-free-with.html

Build an Amazon Affiliate E-Commerce Store from Scratch

Earn Passive Income by Building an Amazon Affiliate E-Commerce Store using WordPress, WooCommerce, WooZone, & Elementor

What you'll learn

Registering a Domain Name & Setting up Hosting Installing WordPress CMS on Your Hosting Account Navigating the WordPress Interface The Advantages of WordPress Securing a WordPress Installation with an SSL Certificate Installing Custom Themes for WordPress Installing WooCommerce, Elementor, & WooZone Plugins Creating an Amazon Affiliate Account Importing Products from Amazon to an E-Commerce Store using WooZone Plugin Building a Customized Shop with Menu's, Headers, Branding, & Sidebars Building WordPress Pages, such as Blogs, About Pages, and Contact Us Forms Customizing Product Pages on a WordPress Power E-Commerce Site Generating Traffic and Sales for Your Newly Published Amazon Affiliate Store

Enroll Now 👇👇👇👇👇👇👇 https://www.book-somahar.com/2023/10/25-udemy-paid-courses-for-free-with.html

The Complete Beginner Course to Optimizing ChatGPT for Work

Learn how to make the most of ChatGPT's capabilities in efficiently aiding you with your tasks.

What you'll learn

Learn how to harness ChatGPT's functionalities to efficiently assist you in various tasks, maximizing productivity and effectiveness. Delve into the captivating fusion of product development and SEO, discovering effective strategies to identify challenges, create innovative tools, and expertly Understand how ChatGPT is a technological leap, akin to the impact of iconic tools like Photoshop and Excel, and how it can revolutionize work methodologies thr Showcase your learning by creating a transformative project, optimizing your approach to work by identifying tasks that can be streamlined with artificial intel

Enroll Now 👇👇👇👇👇👇👇 https://www.book-somahar.com/2023/10/25-udemy-paid-courses-for-free-with.html

AWS, JavaScript, React | Deploy Web Apps on the Cloud

Cloud Computing | Linux Foundations | LAMP Stack | DBMS | Apache | NGINX | AWS IAM | Amazon EC2 | JavaScript | React

What you'll learn

Foundations of Cloud Computing on AWS and Linode Cloud Computing Service Models (IaaS, PaaS, SaaS) Deploying and Configuring a Virtual Instance on Linode and AWS Secure Remote Administration for Virtual Instances using SSH Working with SSH Key Pair Authentication The Foundations of Linux (Maintenance, Directory Commands, User Accounts, Filesystem) The Foundations of Web Servers (NGINX vs Apache) Foundations of Databases (SQL vs NoSQL), Database Transaction Standards (ACID vs CAP) Key Terminology for Full Stack Development and Cloud Administration Installing and Configuring LAMP Stack on Ubuntu (Linux, Apache, MariaDB, PHP) Server Security Foundations (Network vs Hosted Firewalls). Horizontal and Vertical Scaling of a virtual instance on Linode using NodeBalancers Creating Manual and Automated Server Images and Backups on Linode Understanding the Cloud Computing Phenomenon as Applicable to AWS The Characteristics of Cloud Computing as Applicable to AWS Cloud Deployment Models (Private, Community, Hybrid, VPC) Foundations of AWS (Registration, Global vs Regional Services, Billing Alerts, MFA) AWS Identity and Access Management (Mechanics, Users, Groups, Policies, Roles) Amazon Elastic Compute Cloud (EC2) - (AMIs, EC2 Users, Deployment, Elastic IP, Security Groups, Remote Admin) Foundations of the Document Object Model (DOM) Manipulating the DOM Foundations of JavaScript Coding (Variables, Objects, Functions, Loops, Arrays, Events) Foundations of ReactJS (Code Pen, JSX, Components, Props, Events, State Hook, Debugging) Intermediate React (Passing Props, Destrcuting, Styling, Key Property, AI, Conditional Rendering, Deployment) Building a Fully Customized E-Commerce Site in React Intermediate React Concepts (JSON Server, Fetch API, React Router, Styled Components, Refactoring, UseContext Hook, UseReducer, Form Validation)

Enroll Now 👇👇👇👇👇👇👇 https://www.book-somahar.com/2023/10/25-udemy-paid-courses-for-free-with.html

Run Multiple Sites on a Cloud Server: AWS & Digital Ocean

Server Deployment | Apache Configuration | MySQL | PHP | Virtual Hosts | NS Records | DNS | AWS Foundations | EC2

What you'll learn

A solid understanding of the fundamentals of remote server deployment and configuration, including network configuration and security. The ability to install and configure the LAMP stack, including the Apache web server, MySQL database server, and PHP scripting language. Expertise in hosting multiple domains on one virtual server, including setting up virtual hosts and managing domain names. Proficiency in virtual host file configuration, including creating and configuring virtual host files and understanding various directives and parameters. Mastery in DNS zone file configuration, including creating and managing DNS zone files and understanding various record types and their uses. A thorough understanding of AWS foundations, including the AWS global infrastructure, key AWS services, and features. A deep understanding of Amazon Elastic Compute Cloud (EC2) foundations, including creating and managing instances, configuring security groups, and networking. The ability to troubleshoot common issues related to remote server deployment, LAMP stack installation and configuration, virtual host file configuration, and D An understanding of best practices for remote server deployment and configuration, including security considerations and optimization for performance. Practical experience in working with remote servers and cloud-based solutions through hands-on labs and exercises. The ability to apply the knowledge gained from the course to real-world scenarios and challenges faced in the field of web hosting and cloud computing. A competitive edge in the job market, with the ability to pursue career opportunities in web hosting and cloud computing.

Enroll Now 👇👇👇👇👇👇👇 https://www.book-somahar.com/2023/10/25-udemy-paid-courses-for-free-with.html

Cloud-Powered Web App Development with AWS and PHP

AWS Foundations | IAM | Amazon EC2 | Load Balancing | Auto-Scaling Groups | Route 53 | PHP | MySQL | App Deployment

What you'll learn

Understanding of cloud computing and Amazon Web Services (AWS) Proficiency in creating and configuring AWS accounts and environments Knowledge of AWS pricing and billing models Mastery of Identity and Access Management (IAM) policies and permissions Ability to launch and configure Elastic Compute Cloud (EC2) instances Familiarity with security groups, key pairs, and Elastic IP addresses Competency in using AWS storage services, such as Elastic Block Store (EBS) and Simple Storage Service (S3) Expertise in creating and using Elastic Load Balancers (ELB) and Auto Scaling Groups (ASG) for load balancing and scaling web applications Knowledge of DNS management using Route 53 Proficiency in PHP programming language fundamentals Ability to interact with databases using PHP and execute SQL queries Understanding of PHP security best practices, including SQL injection prevention and user authentication Ability to design and implement a database schema for a web application Mastery of PHP scripting to interact with a database and implement user authentication using sessions and cookies Competency in creating a simple blog interface using HTML and CSS and protecting the blog content using PHP authentication. Students will gain practical experience in creating and deploying a member-only blog with user authentication using PHP and MySQL on AWS.

Enroll Now 👇👇👇👇👇👇👇 https://www.book-somahar.com/2023/10/25-udemy-paid-courses-for-free-with.html

CSS, Bootstrap, JavaScript And PHP Stack Complete Course

CSS, Bootstrap And JavaScript And PHP Complete Frontend and Backend Course

What you'll learn

Introduction to Frontend and Backend technologies Introduction to CSS, Bootstrap And JavaScript concepts, PHP Programming Language Practically Getting Started With CSS Styles, CSS 2D Transform, CSS 3D Transform Bootstrap Crash course with bootstrap concepts Bootstrap Grid system,Forms, Badges And Alerts Getting Started With Javascript Variables,Values and Data Types, Operators and Operands Write JavaScript scripts and Gain knowledge in regard to general javaScript programming concepts PHP Section Introduction to PHP, Various Operator types , PHP Arrays, PHP Conditional statements Getting Started with PHP Function Statements And PHP Decision Making PHP 7 concepts PHP CSPRNG And PHP Scalar Declaration

Enroll Now 👇👇👇👇👇👇👇 https://www.book-somahar.com/2023/10/25-udemy-paid-courses-for-free-with.html

Learn HTML - For Beginners

Lean how to create web pages using HTML

What you'll learn

How to Code in HTML Structure of an HTML Page Text Formatting in HTML Embedding Videos Creating Links Anchor Tags Tables & Nested Tables Building Forms Embedding Iframes Inserting Images

Enroll Now 👇👇👇👇👇👇👇 https://www.book-somahar.com/2023/10/25-udemy-paid-courses-for-free-with.html

Learn Bootstrap - For Beginners

Learn to create mobile-responsive web pages using Bootstrap

What you'll learn

Bootstrap Page Structure Bootstrap Grid System Bootstrap Layouts Bootstrap Typography Styling Images Bootstrap Tables, Buttons, Badges, & Progress Bars Bootstrap Pagination Bootstrap Panels Bootstrap Menus & Navigation Bars Bootstrap Carousel & Modals Bootstrap Scrollspy Bootstrap Themes

Enroll Now 👇👇👇👇👇👇👇 https://www.book-somahar.com/2023/10/25-udemy-paid-courses-for-free-with.html

JavaScript, Bootstrap, & PHP - Certification for Beginners

A Comprehensive Guide for Beginners interested in learning JavaScript, Bootstrap, & PHP

What you'll learn

Master Client-Side and Server-Side Interactivity using JavaScript, Bootstrap, & PHP Learn to create mobile responsive webpages using Bootstrap Learn to create client and server-side validated input forms Learn to interact with a MySQL Database using PHP

Enroll Now 👇👇👇👇👇👇👇 https://www.book-somahar.com/2023/10/25-udemy-paid-courses-for-free-with.html

Linode: Build and Deploy Responsive Websites on the Cloud

Cloud Computing | IaaS | Linux Foundations | Apache + DBMS | LAMP Stack | Server Security | Backups | HTML | CSS

What you'll learn

Understand the fundamental concepts and benefits of Cloud Computing and its service models. Learn how to create, configure, and manage virtual servers in the cloud using Linode. Understand the basic concepts of Linux operating system, including file system structure, command-line interface, and basic Linux commands. Learn how to manage users and permissions, configure network settings, and use package managers in Linux. Learn about the basic concepts of web servers, including Apache and Nginx, and databases such as MySQL and MariaDB. Learn how to install and configure web servers and databases on Linux servers. Learn how to install and configure LAMP stack to set up a web server and database for hosting dynamic websites and web applications. Understand server security concepts such as firewalls, access control, and SSL certificates. Learn how to secure servers using firewalls, manage user access, and configure SSL certificates for secure communication. Learn how to scale servers to handle increasing traffic and load. Learn about load balancing, clustering, and auto-scaling techniques. Learn how to create and manage server images. Understand the basic structure and syntax of HTML, including tags, attributes, and elements. Understand how to apply CSS styles to HTML elements, create layouts, and use CSS frameworks.

Enroll Now 👇👇👇👇👇👇👇 https://www.book-somahar.com/2023/10/25-udemy-paid-courses-for-free-with.html

PHP & MySQL - Certification Course for Beginners

Learn to Build Database Driven Web Applications using PHP & MySQL

What you'll learn

PHP Variables, Syntax, Variable Scope, Keywords Echo vs. Print and Data Output PHP Strings, Constants, Operators PHP Conditional Statements PHP Elseif, Switch, Statements PHP Loops - While, For PHP Functions PHP Arrays, Multidimensional Arrays, Sorting Arrays Working with Forms - Post vs. Get PHP Server Side - Form Validation Creating MySQL Databases Database Administration with PhpMyAdmin Administering Database Users, and Defining User Roles SQL Statements - Select, Where, And, Or, Insert, Get Last ID MySQL Prepared Statements and Multiple Record Insertion PHP Isset MySQL - Updating Records

Enroll Now 👇👇👇👇👇👇👇 https://www.book-somahar.com/2023/10/25-udemy-paid-courses-for-free-with.html

Linode: Deploy Scalable React Web Apps on the Cloud

Cloud Computing | IaaS | Server Configuration | Linux Foundations | Database Servers | LAMP Stack | Server Security

What you'll learn

Introduction to Cloud Computing Cloud Computing Service Models (IaaS, PaaS, SaaS) Cloud Server Deployment and Configuration (TFA, SSH) Linux Foundations (File System, Commands, User Accounts) Web Server Foundations (NGINX vs Apache, SQL vs NoSQL, Key Terms) LAMP Stack Installation and Configuration (Linux, Apache, MariaDB, PHP) Server Security (Software & Hardware Firewall Configuration) Server Scaling (Vertical vs Horizontal Scaling, IP Swaps, Load Balancers) React Foundations (Setup) Building a Calculator in React (Code Pen, JSX, Components, Props, Events, State Hook) Building a Connect-4 Clone in React (Passing Arguments, Styling, Callbacks, Key Property) Building an E-Commerce Site in React (JSON Server, Fetch API, Refactoring)

Enroll Now 👇👇👇👇👇👇👇 https://www.book-somahar.com/2023/10/25-udemy-paid-courses-for-free-with.html

Internet and Web Development Fundamentals

Learn how the Internet Works and Setup a Testing & Production Web Server

What you'll learn

How the Internet Works Internet Protocols (HTTP, HTTPS, SMTP) The Web Development Process Planning a Web Application Types of Web Hosting (Shared, Dedicated, VPS, Cloud) Domain Name Registration and Administration Nameserver Configuration Deploying a Testing Server using WAMP & MAMP Deploying a Production Server on Linode, Digital Ocean, or AWS Executing Server Commands through a Command Console Server Configuration on Ubuntu Remote Desktop Connection and VNC SSH Server Authentication FTP Client Installation FTP Uploading

Enroll Now 👇👇👇👇👇👇👇 https://www.book-somahar.com/2023/10/25-udemy-paid-courses-for-free-with.html

Linode: Web Server and Database Foundations

Cloud Computing | Instance Deployment and Config | Apache | NGINX | Database Management Systems (DBMS)

What you'll learn

Introduction to Cloud Computing (Cloud Service Models) Navigating the Linode Cloud Interface Remote Administration using PuTTY, Terminal, SSH Foundations of Web Servers (Apache vs. NGINX) SQL vs NoSQL Databases Database Transaction Standards (ACID vs. CAP Theorem) Key Terms relevant to Cloud Computing, Web Servers, and Database Systems

Enroll Now 👇👇👇👇👇👇👇 https://www.book-somahar.com/2023/10/25-udemy-paid-courses-for-free-with.html

Java Training Complete Course 2022

Learn Java Programming language with Java Complete Training Course 2022 for Beginners

What you'll learn

You will learn how to write a complete Java program that takes user input, processes and outputs the results You will learn OOPS concepts in Java You will learn java concepts such as console output, Java Variables and Data Types, Java Operators And more You will be able to use Java for Selenium in testing and development

Enroll Now 👇👇👇👇👇👇👇 https://www.book-somahar.com/2023/10/25-udemy-paid-courses-for-free-with.html

Learn To Create AI Assistant (JARVIS) With Python

How To Create AI Assistant (JARVIS) With Python Like the One from Marvel's Iron Man Movie

What you'll learn

how to create an personalized artificial intelligence assistant how to create JARVIS AI how to create ai assistant

Enroll Now 👇👇👇👇👇👇👇 https://www.book-somahar.com/2023/10/25-udemy-paid-courses-for-free-with.html

Keyword Research, Free Backlinks, Improve SEO -Long Tail Pro

LongTailPro is the keyword research service we at Coursenvy use for ALL our clients! In this course, find SEO keywords,

What you'll learn

Learn everything Long Tail Pro has to offer from A to Z! Optimize keywords in your page/post titles, meta descriptions, social media bios, article content, and more! Create content that caters to the NEW Search Engine Algorithms and find endless keywords to rank for in ALL the search engines! Learn how to use ALL of the top-rated Keyword Research software online! Master analyzing your COMPETITIONS Keywords! Get High-Quality Backlinks that will ACTUALLY Help your Page Rank!

Enroll Now 👇👇👇👇👇👇👇 https://www.book-somahar.com/2023/10/25-udemy-paid-courses-for-free-with.html

[ansprotech]

🚀 Our Portfolio

Welcome to the portfolio of Anspro Technologies, where innovation meets impact. With a strong presence in Bengaluru, we specialize in IT training, internships, and final-year academic project guidance for students and professionals across domains like Computer Science, ECE, and MCA.

🎓 Academic Projects

We have delivered 1000+ final-year projects across multiple technologies and domains, empowering students from top universities with real-world problem-solving experience.

✅ MCA & BCA Projects

Online Exam Portal Using Django

Student Performance Prediction Using Machine Learning

Crime Rate Prediction Using Python

Cloud-based Library Management System

✅ Computer Science Engineering Projects

AI Chatbot with NLP & Deep Learning

Secure File Transfer Using Blockchain

Real-time Traffic Analysis System

IoT-Based Smart Energy Monitoring System

✅ ECE Projects

Voice Controlled Wheelchair using Arduino

Smart Helmet with Alcohol Detection

IoT-based Women Safety System

Line Following Robot using Sensors

💼 Internship Programs

Our industry-focused internship programs are tailored to provide hands-on exposure and job-ready skills. Over 3,000+ students have successfully completed internships and received placement support.

Internship Domains:

Python Full Stack Development

Artificial Intelligence & Machine Learning

Embedded Systems & IoT

Java & Android App Development

Data Science with Power BI

Web Development with React & Node.js

Highlights:

Live Projects

Weekly Progress Reviews

Internship Certificates

Placement Assistance

🛠️ Corporate & Job-Oriented Training

We offer job-oriented training programs designed by experts, blending core concepts with industry use-cases.

Technologies Trained:

Python | Java | C | C++

Data Structures & Algorithms

Web Development (HTML, CSS, JS, React, Node.js)

AI/ML & Data Science

DevOps, AWS & Cloud Computing

🏆 Achievements

📈 92% Internship-to-Job Conversion Rate

🧑‍🎓 Trained over 10,000+ learners across India

🤝 Partnered with 50+ colleges for project training

💼 Helped 2,000+ students secure placements in 2024 alone

📸 Project Showcase

1. AI-powered Resume Ranker

Built with Python, Flask, and OpenAI APIs Enables recruiters to auto-rank resumes based on job descriptions

2. Smart Parking System (IoT)

Hardware + software integration using NodeMCU, IR sensors, and a web dashboard

3. College Event Management App

Android app developed using Java and Firebase backend

4. Weather Forecast App

ReactJS front-end with OpenWeatherMap API integration

5. Fake News Detection Using ML

NLP-based system using Tfidf + Random Forest Classifier

🎯 Client & Student Testimonials

“Anspro helped me land my first job in IT with their internship and project guidance. Truly professional and helpful!” — Karthik R, MCA Student

“As a final-year B.Tech student, I was stuck for project ideas. The team at Anspro not only helped me with ideas but also guided me through execution.” — Sneha M, CSE Student

“Their AI and ML training with internship was top-class. The exposure I got helped me in cracking my interviews.” — Naveen S, Fresher in Data Science

🧑‍💻 Our Technology Stack

Languages: Python, Java, C, C++, JavaScript

Frameworks: Django, Flask, React, Node.js, Express, Android SDK

Tools: Git, Firebase, Docker, Power BI, AWS

ML & AI: scikit-learn, TensorFlow, OpenCV, NLTK

IoT/Embedded: Arduino, Raspberry Pi, NodeMCU, Sensors

🌐 Our Clients & College Collaborations

RV College of Engineering

PES University

New Horizon College

Jain University

Acharya Institute

and 50+ more institutions across India

 Let’s Build Together

Whether you’re a student, college, or recruiter, Anspro Technologies is your trusted partner for training, internships, and innovative project development.

📍 BTM Layout, Bengaluru 📞 +91-8904436512 🌐 www.ansprotech.com 📧 info@ansprotech.com

[stemrobotechnology]

Atal Tinkering Lab: Igniting Innovation in Young Minds with STEMROBO Technologies

In the World of rapidly changing of technology and innovation, it is necessary that students should not only passive learners, but also active creators. Keeping this vision in mind, Atal Tinkering Labs (ATL) was introduced under India's Atal Innovation Mission (AIM), which encourages the culture of curiosity, Creativity and imagination among the school students.

One of the prominent players prominent in establishing and supporting these laboratories across India is STEMROBO Technologies - A company focused on Stem (Science, Technology, Engineering and Mathematics) for K -12 students.

What is Atal Tinkering Lab?

Atal Tinkering Labs are dedicated innovation workspaces established in schools across India with support from the NITI Aayog under AIM. These laboratories provide students between classes 6 and class 12 for equipment and technologies such as:

3D Printers

Robotics kits

IoT devices

Miniaturized electronics

Sensors and controllers

Drones and Artificial Intelligence modules

The goal? To enable students to experiment, tinker, and bring their innovative ideas to life, thus resolving the problem, promoting the mentality of important thinking and entrepreneurship.

Role of STEMROBO Technologies in ATL Setup

We are one of the leading implementation partners for Atal Tinkering Labs. The company plays a crucial role in installing Atal Tinkering laboratories end-to-end and also ensures that they run effectively.

Here's how we contributes:

1. Complete ATL Infrastructure Setup

We helps schools by providing the required infrastructure for setting up ATLs. This includes:

Supplying ATL equipment as per the NITI Aayog guidelines

Designing the lab layout and setup

Installation of hardware and tools

2. Customized STEM Kits & Innovation Boxes

They offer new, courses-handled DIY kits that help students build real world projects. These include:

Coding & electronics kits

AI & ML-based project boxes

Drone-building kits

Automation & sensor-based kits

3. Teacher Training & Mentorship

To ensure ATL sustainability, we offers:

Hands-on teacher training programs

Regular mentorship for educators and students

Year-round support through expert guidance and workshops

4. Project-Based Learning & Innovative Challenges

We encourages students to participate in various innovation challenges, hackathon and exhibitions. Their structured programs promote:

Design thinking

Team collaboration

Problem-solving through real-world applications

5. Digital Learning Platforms

They also provide access to a proprietary online learning platform where students can explore concepts like:

Block-based coding

Python & Arduino programming

AI/ML & Data Science modules

Simulations and virtual tinkering

Impact on the Education Ecosystem

With STEMROBO's support, hundreds of ATLs have been successfully set up across India. The outcome is visible in:

A sharp increase in students participating in national innovation competitions

School winning schools in events like Smart India Hackathon and Atal Tinkering Marathon

Students developing prototypes who address real world problems-from Smart agriculture to healthcare solutions

Real Stories of Change

At schools supported by us, students have built innovations such as:

A low-cost soil moisture detector for farmers

An AI-based mask detection system during COVID-19

Smart dustbin for waste isolation

These are not only science fair projects-they are the early stages of real challenges.

Conclusion

Atal Tinkering Labs have become an engine of change in India's school education system, nourishing the next generation of newcomers. Through STEMROBO technologies, its practical stem education tools, expert mentorships and hands-on learning approaches, the schools are helping to brid down the difference between theoretical learning and real-world application.

If you are a teacher, policy maker, or parents, it is time to note that programs like STEMROBO and ATL can turn your students into tomorrow's creators and changemakers.

Interested in setting up an ATL in your school or upgrading your innovation lab?

Reach out to us and take the first step toward a future-ready classroom.

Contact US at:

STEMROBO Technology

Email : sales@stemrobo.com

Toll Free : 1800-120-500-400

Website : www.stemrobo.com

Address : B-32, Block – B, Sector – 63, Noida, 201301, UP, INDIA

[jyoti-negi]

Mastering the Future: Transforming Data Science Skills into Tangible Results

This article delves into how data science is more than just technical analysis—it's about converting complex data into impactful outcomes. It highlights the growing demand for data literacy, the practical applications of data in decision-making, and the importance of mastering tools like Python, ML algorithms, and data visualization. Whether you're a student or a professional, the guide offers actionable insights to help you stay ahead in a data-driven future.

[govind-singh]

Data Analytics Training vs Data Science Training: Understand the Key Differences

If you’ve been exploring a career in the world of data, you’ve probably come across two popular terms—Data Analytics Training and Data Science Training. At first glance, they might seem like the same thing. After all, both involve working with data, using tools, and solving problems. But dig a little deeper, and you’ll find that they lead to very different career paths.

So, how exactly are they different—and more importantly, which one should you choose? Let’s break it down in a simple and human way.

First, What Do These Trainings Actually Teach?

Data Analytics Training is all about helping you understand the past. You learn how to look at existing data—sales numbers, customer feedback, website visits—and make sense of it. It’s about spotting patterns, creating dashboards, and giving insights that help businesses make smart decisions.

In contrast, Data Science Training goes beyond just looking at data. It’s about building systems that can learn from data and make predictions. You use programming, machine learning, and complex models to answer questions like “what will happen next?” or “how can we automate this?”

Still Confused? Let’s Compare Them Side by Side

Feature

Data Analytics Training

Data Science Training

What You Learn

Excel, SQL, Tableau, Power BI

Python, R, Machine Learning, AI tools

Goal

Understand the past, create reports

Predict the future, build smart systems

Tech Level

Beginner-friendly

Advanced, more coding-heavy

Ideal For

Non-tech or business folks

Tech lovers, coders, math enthusiasts

Career Roles

Data Analyst, BI Analyst, Reporting Analyst

Data Scientist, ML Engineer, AI Developer

Who Should Choose Data Analytics Training?

If you’re someone who enjoys working with spreadsheets, creating charts, or figuring out what’s going on in a business from the numbers—it’s a clear sign. Data Analytics Training might be the right path for you.

It’s perfect if:

You’re new to tech but curious about data

You have a business, marketing, or finance background

You want to upskill quickly and get into a job soon

You enjoy interpreting data and explaining it to others

After completing Data Analytics Training, you can land roles like:

Data Analyst

Business Analyst

Reporting Analyst

Operations Analyst

When Should You Go for Data Science Training?

On the flip side, Data Science Training is a better fit if you:

Enjoy coding and problem-solving

Have a background in engineering, computer science, or math

Want to work on AI, machine learning, or predictive models

Are aiming for high-level tech roles with big impact (and pay!)

It opens doors to roles such as:

Data Scientist

ML Engineer

AI Specialist

Data Engineer

These roles are more technical but also come with great career growth and salaries.

What About Career Scope and Salary?

Here’s the good news: both fields are booming. Companies in every industry—from healthcare to e-commerce to finance—need data professionals.

Data Analysts are in demand because businesses rely on their reports for daily decisions. It’s a great entry-level role.

Data Scientists are valued for building powerful tools and automation, so their average salary tends to be higher.

But remember, salary isn't everything—choose the field that fits your interest and learning style.

So, Which One is Right for You?

Here’s a quick self-check:

👉 Do you like organizing data, using tools like Excel or Power BI, and creating visual reports? ✅ Go for Data Analytics Training.

👉 Do you enjoy coding, solving complex problems, and building smart tools? ✅ Then Data Science Training is your path.

Both fields offer exciting opportunities, but your career success depends on your interests and strengths. Whether you’re starting fresh or switching careers, there’s room for you in the world of data.

Final Thought: Don’t get stuck overthinking. Start with one—you can always upgrade your skills later. The key is to begin. Whether it’s Data Analytics Training or Data Science Training, the world needs skilled professionals like you.

[bharathidegreecollege]

Best Degree College in Warangal for Data Science Jobs

India’s booming digital economy has opened doors to new-age careers, and data science stands right at the center of this revolution. From wedding photographers optimizing client databases to eCommerce startups predicting customer behavior, data is everywhere. Choosing the best degree college in Warangal can shape your journey into this high-demand field—and Bharathi Degree College leads the way.

Bharathi equips students, entrepreneurs, and tech professionals aged 18 to 60 with data-centric skills that are both technically sound and globally relevant. Here’s why it’s a top pick for data science jobs in India and beyond.1. Future-Forward Curriculum in Data Analytics

The data science programs at Bharathi are designed for modern application:

Integration of R, Python, and SQL from semester one

Modules on data visualization using Tableau and Power BI

Projects that involve real datasets from Indian SMEs and tech startups

2. Hands-On, Tool-Based Learning

Unlike outdated theoretical teaching, Bharathi focuses on lab-based, tool-driven training:

Predictive modeling

Machine learning fundamentals

Exploratory data analysis

Students don’t just learn—they build, test, and present real solutions.3. Curriculum Aligned with Job Roles

Whether you want to become a data analyst, business intelligence specialist, or AI assistant developer, Bharathi’s programs prepare you for these careers with job-oriented syllabi featuring:

Business case studies

Real-world assignments

Internship simulations

4. Industry-Linked Skill Development

Tech-driven industries across India seek professionals who are already familiar with business tools. Bharathi includes training in:

Excel automation

CRM tools

Statistical decision-making frameworks

This ensures graduates can integrate smoothly into data-focused roles from day one.5. Mentorship that Guides Your Career

Mentors help students decode the industry’s language and trends:

Resume building for data science roles

Creating portfolios that show analytical impact

Preparing for tech-enabled case interviews

6. Interdisciplinary Approach to Problem Solving

Data science doesn’t operate in silos. At Bharathi, students also learn to collaborate across:

Marketing and finance for data integration

Design and UX teams for dashboard usability

Operations for efficiency tracking

This broadens employability and encourages practical thinking.7. Immersive Learning via Live Projects

Live projects enhance retention and real-world skills. Students have tackled challenges such as:

Trend prediction for Indian fashion brands

Traffic analytics for hyperlocal eCommerce platforms

Customer segmentation for boutique businesses

8. India-Specific Data Training

What makes Bharathi unique is its focus on the Indian data landscape. Students explore:

UPI transaction trends

Rural internet usage behavior

Festival season buying patterns

This adds cultural intelligence to technical skillsets.9. Support for Aspiring Entrepreneurs

Many students aim to launch their own data-driven ventures. Bharathi supports this with:

Startup pitching sessions

Data modeling for MVPs

Analytics bootcamps for founders

10. Certification Add-Ons

Bharathi includes pathways to earn certifications that strengthen your résumé:

Google Data Analytics

Microsoft Azure Fundamentals

AI and ML specialization tracks

These courses are built into the academic timeline, ensuring efficient skill acquisition.11. Data Science for Creatives and Business Owners

Even photographers, fashion designers, and event planners can benefit. Programs teach how to:

Track customer engagement

Forecast seasonal trends

Measure digital campaign effectiveness

12. Peer Networks That Accelerate Growth

Being surrounded by tech-enthusiasts, coders, and business minds creates a rich learning culture. Many Bharathi alumni have:

Built analytics consultancies

Launched SaaS tools

Taken up global data science jobs

13. FAQs

Q1: Do I need a coding background to pursue data science here? No. The curriculum starts with basics and gradually builds complexity.

Q2: Is the program suitable for working professionals? Yes. The modular structure supports flexible learning and weekend seminars.

Q3: Are live projects included in the syllabus? Absolutely. Every semester ends with a project evaluation based on real data use cases.

Q4: Can creative professionals apply? Definitely. Data is reshaping every sector, from photography to content strategy.Final Thoughts: Secure a Data-Driven Career at the Best Degree College in Warangal

Data science is the language of tomorrow—and Bharathi Degree College helps you become fluent. Its hands-on curriculum, job-aligned approach, and culturally grounded pedagogy make it a preferred choice for learners across India. Begin your journey at the best degree college in Warangal and power your future with data.

[shivam1605]

Top Career Opportunities After Completing a Data Science and Analytics Course

The data revolution does not appear to be slowing down. With businesses creating copious amounts of data each second, demand has never been higher for individuals who can interpret it all. The job opportunities after the data science courses aren't only abundant; they're vastly diverse, highly fulfilling, and certainly future-oriented. Whether you're a new graduate emerging, an engineer, such as many I have come across, willing to upskill, or a mid-career professional seeking a dramatic change, I believe wholeheartedly that getting through a course in data science and analytics can be your doorway to a world of high-impact jobs in virtually every industry.

1. Data Scientist Career Path – The Most Sought-After Role

The "Data Scientist" title is among the most revered and sought-after jobs of the day. Data scientists are responsible for explaining intricate data, developing predictive models, and providing strategic business advice. On completing a formal course, you'll learn to work with big data, implement machine learning, and present results to non-technical audiences - a natural fit for this occupation.

Key Responsibilities:

Creating algorithms and predictive models

Operating using tools such as Python, R, and TensorFlow

Converting business issues into models using data

2. Data Analyst Jobs – Ideal for Beginners

If you're just getting started in your career, one of the most beginner-friendly and rewarding analytics job roles is that of a Data Analyst. Data analysts use previous data to determine patterns, trends, and insights that inform strategic decision-making. It is among the most preferred roles to start after learning about data science through a course, especially if you want to gain real-world experience before you move on to more technical roles.

Tools You'll Use:

Excel and SQL for querying data

Tableau/Power BI for visualisation

Python for data cleaning and analysis

3. Entry-Level Data Jobs in Start-Ups and MNCs

The digital revolution has created a hiring frenzy across industries. Right from e-commerce firms to banks and healthcare organisations, companies are hiring freshers for entry-level data jobs. These junior data roles usually deal with operational analytics, dashboard management, and supporting senior data professionals.

Common Job Titles:

Junior Data Analyst

Data Associate

Business Intelligence Trainee

Analytics Assistant

Over a period and with experience, these positions can progress to more strategic roles.

4. Machine Learning Engineer – The Edge of AI

If your passion is where data and automation meet, you should aim for a Machine Learning Engineer position. Once you acquire important ML algorithms while doing your course, you can turn that into practice to create models that can learn from data and get better by themselves. It is among the rapidly developing areas in data science, particularly in industries such as fintech, cybersecurity, and autonomous systems.

Skills Needed:

Programming skills (Python, Java, C++)

Familiarity with ML libraries (Scikit-learn, TensorFlow)

Good understanding of algorithms and model evaluation

5. Business Intelligence Analyst – The Strategist Role

Business Intelligence (BI) Analysts make data actionable, enabling executives to make informed decisions. Business Intelligence Analyst jobs are centred around visual storytelling and KPI reporting. These jobs are usually suitable for those who like fusing data with business strategy. BI analysts may work across different departments and play a key role in digital transformation initiatives.

Key Tools:

Power BI

Tableau

SQL and data warehousing tools

6. Data Engineer – For the Backend Enthusiasts

Not every role after a data science course is analysis; some are system-building roles that enable it. Data Engineers specialise in developing the infrastructure and pipelines that bring in, clean, and store data. If you enjoy building solid systems and playing with cloud technologies, this is the job for you.

Key Technologies:

Hadoop, Spark

AWS/GCP/Azure cloud platforms

ETL tools and frameworks

7. AI/ML Research Associate – For Academically Inclined Professionals

The ones interested in research or PhD-level thinking can become AI or ML Research Associates. These positions may be found in research labs, universities, and tech firms interested in innovating in the AI domain. Getting a data science course may be your stepping stone to higher-level, theory-based work.

8. Product Analyst – Where Data Meets Business

Product Analysts collaborate with marketing, design, and engineering groups to study user behaviour and recommend changes to online products. This is the perfect job if you like numbers-based decision-making and desire to work in product-centric setups such as technology start-ups or SaaS organisations.

Your Role May Include:

A/B testing and funnel analysis

Retention and churn prediction

Customer segmentation

9. Data Consultant – Freelance or Contract Roles

If you're looking for flexibility or a freelancing lifestyle, most companies contract data consultants for short-term jobs. These opportunities allow you to apply your skills to specific problems like rolling out a dashboard, creating a machine learning model, or cleaning large datasets, without full-time job commitments.

10. Digital Marketing Analyst – For Cross-Domain Careers

Those with a background or interest in marketing can apply data science skills to roles in digital marketing analytics. From analysing campaign ROI to tracking customer journeys, data-driven marketing is one of the hottest areas for data science applications.

You’ll Use Tools Like:

Google Analytics

HubSpot

Excel and Tableau

FAQs

1. What is the best job after a data science course?

Data Scientists and Data Analysts are among the most sought-after jobs based on your interest and background.

2. Is a job possible for a fresher after a data science course?

Yes. Numerous companies take freshers at the entry level in positions such as Junior Data Analyst and BI Associate.

3. Is machine learning engineering a better career choice?

Definitely. ML Engineers are sought after, particularly in AI-based sectors.

4. Do data science jobs pay well?

Yes, the pay packages are competitive. The starting salary is ₹6–10 LPA and could be much more with experience.

5. What are non-technical career options after a data science course?

Jobs such as Business Analyst, Product Analyst, and BI Analyst are some non-technical career options after a data science course. These are appropriate for someone with a combination of business and data interests.

6. How do I decide between a Data Analyst and a Data Engineer role?

Data Analysts are the ones who deal with the interpretation of data; Data Engineers are the ones who construct systems. You can pursue either depending on your interest in coding or storytelling.

7. Can I find a job outside India after doing a course in India?

Yes. Data skills are in demand worldwide, and most professionals receive remote or international positions.

8. What industries recruit data science professionals?

Finance, healthcare, e-commerce, media, logistics, and many others hire data science professionals.

9. Will I receive placement assistance in the Imarticus program?

Yes, the program features strong placement support with interview preparation and resume construction.

10. Must I have coding skills to study data science?

Fundamental programming skills are desirable but not necessary - fine courses begin from scratch.

Conclusion

The job list after the completion of the data science course keeps increasing with the growing demands of contemporary business. From data scientists and analysts to machine learning engineers and product analysts, the scope is wide and lucrative. But what is even more inspiring is the versatility of data science - it invites opportunities in different industries, functions, and even nations.

Whether you're interested in an analytical office job, an AI technical role, or a business strategy function, a data science and analytics course provides you with skills that are internationally applicable and in great demand in 2025.

If you are prepared to begin your data science career, the Postgraduate Program in Data Science and Analytics by Imarticus Learning is the future-ready option. It provides practical training in Python, SQL, machine learning, data visualisation, and more, along with real-world capstone projects and excellent placement assistance to enable you to secure your dream job in the data world.

[promptlyspeedyandroid]

Artificial Intelligence (AI) Tutorial: A Complete Beginner’s Guide

Artificial Intelligence (AI) Tutorial: A Complete Beginner’s Guide

Artificial Intelligence (AI) is transforming the way we live, work, and think. From virtual assistants like Siri and Alexa to recommendation systems on Netflix and Amazon, AI is deeply embedded in modern life. If you're new to this exciting field and want to understand what AI is, how it works, and how to get started, you're in the right place. This Artificial Intelligence (AI) Tutorial: A Complete Beginner’s Guide is designed to introduce you to the fundamentals of AI, its applications, and the tools you need to start your AI journey.

What is Artificial Intelligence (AI)?

Artificial Intelligence is a branch of computer science that focuses on building systems capable of performing tasks that typically require human intelligence. These tasks include problem-solving, learning, reasoning, language understanding, and perception. AI can be categorized into two types:

Narrow AI – AI systems that are trained for a specific task (e.g., facial recognition, email filtering).

General AI – A theoretical system that could perform any intellectual task a human can do.

In real-world scenarios, we mostly use Narrow AI. However, research is ongoing to achieve General AI, which would represent a massive leap in computing and cognitive science.

Why Learn AI?

AI is one of the fastest-growing and most impactful technologies in the world. Learning AI can open up vast career opportunities in fields like:

Data Science

Machine Learning

Robotics

Natural Language Processing (NLP)

Computer Vision

Automation and Cybersecurity

Companies around the globe are investing heavily in AI, and demand for AI professionals is skyrocketing. Whether you're a student, software developer, or tech enthusiast, learning AI can significantly boost your career.

Core Concepts of Artificial Intelligence

To effectively understand AI, you need to grasp several key concepts that form the foundation of the field:

1. Machine Learning (ML)

Machine Learning is a subset of AI where machines learn from data without being explicitly programmed. ML algorithms allow systems to identify patterns, make decisions, and improve over time with more data.

There are three types of machine learning:

Supervised Learning

Unsupervised Learning

Reinforcement Learning

2. Neural Networks and Deep Learning

Inspired by the human brain, neural networks are algorithms designed to recognize patterns. Deep Learning uses complex neural networks with many layers, enabling applications like image and speech recognition.

3. Natural Language Processing (NLP)

NLP allows machines to understand and respond to human language. Applications include chatbots, voice assistants, and language translation tools.

4. Computer Vision

This area focuses on enabling machines to “see” and interpret images or videos. It's used in facial recognition, medical imaging, and autonomous vehicles.

5. Robotics

AI-powered robots are designed to perform complex tasks in real-world environments. These range from industrial automation to surgical procedures.

Tools and Technologies for AI

Getting started with AI requires familiarity with certain tools and programming languages:

Python – The most popular language for AI due to its simplicity and vast libraries (TensorFlow, Keras, Scikit-learn).

R – Useful for statistical analysis and data visualization.

Jupyter Notebooks – Ideal for writing and sharing live code, visualizations, and narratives.

Frameworks and Libraries:

TensorFlow – Google’s open-source library for numerical computation and large-scale machine learning.

Keras – A user-friendly deep learning API, built on top of TensorFlow.

PyTorch – A deep learning framework developed by Facebook, known for its flexibility and speed.

OpenCV – A library for computer vision tasks.

Real-World Applications of AI

AI is not just a theoretical concept—it powers many technologies we use daily:

Healthcare – AI diagnoses diseases, predicts patient outcomes, and personalizes treatment plans.

Finance – Fraud detection, algorithmic trading, and customer service automation.

Retail – Product recommendations, demand forecasting, and customer behavior analysis.

Transportation – Self-driving cars, route optimization, and logistics automation.

Education – Personalized learning paths and AI tutors.

Step-by-Step Roadmap for Beginners

Here’s a beginner-friendly path to start your AI journey:

Step 1: Learn Python

Start with Python programming. It’s the foundation of most AI projects. Learn basics like data structures, functions, loops, and file handling.

Step 2: Understand Math for AI

Focus on linear algebra, probability, statistics, and calculus. These are essential for understanding how AI algorithms work.

Step 3: Learn Machine Learning

Explore supervised and unsupervised learning. Understand models like regression, decision trees, clustering, and classification.

Step 4: Work on Projects

Apply your knowledge with small projects like:

Sentiment analysis

Image classifier

Spam detection

Chatbot

Step 5: Explore Deep Learning and NLP

Once comfortable with ML, move to deep learning frameworks like TensorFlow or PyTorch. Learn about neural networks and try building models for image or speech recognition.

Step 6: Stay Updated

AI is evolving rapidly. Follow blogs, take online courses, read research papers, and participate in communities like GitHub, Stack Overflow, and Kaggle.

Recommended Resources

Online Courses: Coursera, edX, Udemy, freeCodeCamp

Books:

"Artificial Intelligence: A Modern Approach" by Stuart Russell & Peter Norvig

"Deep Learning" by Ian Goodfellow

Communities: Reddit r/MachineLearning, AI Stack Exchange, GitHub projects

Conclusion

Artificial Intelligence is revolutionizing industries and reshaping the future. This Artificial Intelligence (AI) Tutorial: A Complete Beginner’s Guide provides a solid foundation to begin your AI learning journey. With the right tools, resources, and dedication, anyone can start building smart systems and be a part of the AI-driven transformation.

Now is the perfect time to dive into AI and become part of this technological revolution. Start small, stay curious, and keep learning—your AI journey begins today!

Let me know if you'd like this content turned into a blog post format with headings, images, or code examples!

[callofdutymobileindia]

Top Generative AI Courses in Bengaluru for 2025: A Curated Guide for Future Innovators

As India’s tech capital, Bengaluru has always been a hub for innovation, software development, and data science. In 2025, it’s now leading a new frontier — Generative Artificial Intelligence. From startups leveraging AI to generate personalized content to enterprises automating workflows using large language models, the demand for skilled professionals in generative AI has surged.

If you are looking to gain hands-on experience and launch a high-growth career in this domain, Generative AI courses in Bengaluru are your ideal starting point. This guide curates the best programs available today to help you choose the right path toward becoming a generative AI expert.

Why Learn Generative AI in 2025?

The impact of generative AI is rapidly expanding across industries, transforming the way businesses create content, interact with customers, and automate tasks. Here’s why enrolling in a generative AI course in Bengaluru in 2025 is a smart move:

Significant demand across sectors including IT, fintech, marketing, and education

Integration of advanced AI tools like ChatGPT, Claude, and Stable Diffusion in daily workflows

Increased funding in AI startups and product development in Bengaluru’s startup ecosystem

Lucrative roles such as Prompt Engineer, LLM Developer, and AI Product Manager

Access to a vibrant tech community, meetups, and innovation labs across the city

Boston Institute of Analytics – Generative AI Certification Program

Mode: Hybrid (Offline + Online) Duration: 3 to 4 Months Location: Indiranagar, Bengaluru

Overview: Boston Institute of Analytics (BIA) offers one of the most industry-relevant Generative AI courses in Bengaluru, combining classroom training, online learning, and live projects. This program is designed to prepare students for careers in AI application development and research.

What You'll Learn:

Foundations of generative models (GANs, VAEs, Transformers)

Hands-on training with GPT models, DALL·E, Midjourney, and Sora

Prompt engineering techniques for content, code, and design generation

Building and deploying AI-powered applications

Ethics and challenges of generative AI

Key Features:

Global faculty and AI industry mentors

Internship and placement assistance in top tech companies

Access to AI tools and datasets

Certification recognized internationally

Ideal For: Students, tech professionals, entrepreneurs, and researchers looking to gain hands-on exposure with real-world AI tools.

What to Consider Before Enrolling?

When selecting the right Generative AI course in Bengaluru, evaluate the following factors:

Curriculum relevance: Does the course teach modern tools like GPT-4, Sora, Midjourney, etc.?

Mode of delivery: Do you prefer classroom training, online sessions, or hybrid models?

Project experience: Are real-world projects or hackathons included?

Mentorship and placement: Does the course offer career support and mentoring in Bengaluru?

Credibility: Is the institution or platform recognized by industry professionals?

Career Paths After Completing a Generative AI Course

As generative AI continues to reshape industries, professionals with expertise in this field are in high demand. Completing a generative AI course equips you with skills in deep learning, natural language processing, image generation, and model fine-tuning—opening doors to diverse career opportunities. Below are some of the most promising paths you can pursue.

1. Machine Learning Engineer

A machine learning engineer designs, builds, and deploys AI models, including generative models like GPT, DALL·E, or diffusion models. This role requires a deep understanding of programming (typically Python), frameworks such as TensorFlow or PyTorch, and strong knowledge of algorithms. Companies in tech, finance, healthcare, and autonomous vehicles often hire ML engineers to integrate generative AI into products or workflows.

2. Data Scientist with Generative AI Focus

Data scientists use AI to analyze large datasets and uncover patterns. With generative AI skills, they can build models for predictive text, image synthesis, or data augmentation. These professionals work across industries—from marketing and retail to pharmaceuticals and logistics—helping businesses make data-driven decisions with enhanced AI tools.

3. AI Researcher

If you’re interested in pushing the boundaries of what generative AI can do, a role in research might be right for you. AI researchers often work in academia, research labs, or R&D departments, focusing on developing new architectures or improving existing models. This career requires strong mathematical skills and a passion for experimentation and innovation.

4. Creative Technologist / AI Artist

Generative AI has revolutionized creative industries. Artists, designers, and filmmakers are now using tools like generative adversarial networks (GANs) or diffusion models to create art, music, and video content. A creative technologist blends programming with artistic skills to develop new forms of expression using AI.

5. Product Manager – AI Tools

Product managers who understand generative AI are highly valued in tech companies. They bridge the gap between technical teams and business stakeholders, guiding the development of AI-powered products. Understanding generative models helps PMs align product features with customer needs and market trends.

6. AI Ethics and Policy Specialist

As AI becomes more influential, ethical considerations are critical. Specialists in AI ethics work to ensure fairness, transparency, and accountability in generative systems. This path is ideal for those interested in the societal impact of AI.

Final Thoughts

Generative AI is shaping the future of work, creativity, and business across the world. For aspiring professionals in Bengaluru, now is the ideal time to acquire these future-ready skills. Whether you're looking for a beginner-friendly introduction or an advanced hands-on bootcamp, the options listed above offer a pathway tailored to your goals.

Among them, the Boston Institute of Analytics stands out for its practical approach, placement support, and hybrid learning flexibility, making it a top choice for those serious about launching a career in generative AI.

Choose a course that aligns with your learning style, career aspirations, and technical foundation — and take the next step toward becoming a part of Bengaluru’s AI revolution.

[xaltius]

How to Market Yourself as a Data Professional on LinkedIn?

In the dynamic and highly competitive world of data science, being good at your craft isn't enough. You need to be seen as good. And in 2025, there's no better platform for data professionals to build their personal brand, showcase expertise, and unearth opportunities than LinkedIn.

Think of LinkedIn not just as a job board, but as your professional portfolio, networking hub, and personal publishing platform rolled into one. Leveraging it strategically can open doors you never knew existed.

Here's how to market yourself as a data professional on LinkedIn like a pro:

1. Optimize Your Profile: Your Digital Shop Window

Your LinkedIn profile is your professional storefront. Make it shine!

Headline (Your AI-Powered Elevator Pitch): This is prime real estate. Don't just list your job title. Use keywords to clearly state your expertise and aspirations.

Instead of: "Data Scientist at XYZ Corp"

Try: "Senior Data Scientist | Machine Learning Engineer | NLP Specialist | Driving Business Impact with AI | Python, SQL, Cloud"

About Section (Your Narrative): Go beyond a dry summary. Craft a compelling story about your journey, passions, and the kind of impact you want to make. Highlight your key skills and areas of interest. Use keywords naturally throughout.

Experience (Quantify Your Impact): For each role, don't just list responsibilities. Focus on achievements and quantify them with metrics.

Instead of: "Developed machine learning models."

Try: "Developed and deployed predictive models for customer churn, resulting in a 15% reduction in churn rate and $X million in annualized savings."

Skills (The Algorithm's Friend): Be comprehensive. List relevant technical skills (Python, R, SQL, TensorFlow, PyTorch, AWS, Azure, GCP, Spark, Tableau, Power BI) and crucial soft skills (communication, problem-solving, collaboration, critical thinking, storytelling with data). Get endorsements from colleagues.

Education & Certifications: Showcase your academic background, specialized bootcamps, and industry certifications (e.g., AWS Certified Machine Learning Specialty, Google Cloud Professional Data Engineer).

Recommendations: Actively request recommendations from former managers, colleagues, or clients who can speak to your skills, work ethic, and impact. These are gold.

2. Showcase Your Work: Let Your Projects Speak

A data professional's portfolio is their strongest resume. LinkedIn's Project and Posts features are perfect for this.

Projects Section: This is where you link out to your work.

GitHub: Share links to well-documented code repositories.

Kaggle: Link your profile if you're active in competitions or sharing notebooks.

Personal Website/Blog: If you have one, link to case studies or interactive dashboards.

Interactive Dashboards: Share links to your Tableau Public, Power BI, or Streamlit apps that showcase your data visualization and storytelling skills.

Posts/Articles: Regularly share updates on your projects. Describe the problem, your approach, the tools you used, and the insights gained. Visuals (charts, screenshots) are highly encouraged.

3. Engage Strategically: Be Part of the Conversation

LinkedIn is a two-way street. Don't just broadcast; engage!

Follow Industry Influencers & Companies: Stay updated on trends, new technologies, and hiring announcements. Engage thoughtfully with their content.

Join Relevant Groups: Participate in data science, AI, ML, or industry-specific groups. Ask questions, offer insights, and share relevant resources.

Comment Thoughtfully: Don't just "like" posts. Add value by sharing your perspective, asking clarifying questions, or contributing additional information. This helps you get noticed.

Share Relevant Content: Curate insightful articles, research papers, industry news, or helpful tutorials. Position yourself as someone who stays informed and shares valuable knowledge.

4. Create Your Own Content: Establish Thought Leadership

This is where you move from being seen as a data professional to being seen as a leader in data.

LinkedIn Articles: Use this for longer-form content. Write detailed tutorials, share case studies of your projects, discuss industry trends, or offer career advice for aspiring data scientists.

Short Posts: Quick tips, observations, interesting findings from a dataset, or questions to spark discussion. Polls are great for engagement.

"Carousels" / Document Posts: Create visually appealing, multi-slide posts that summarize complex concepts, project steps, or key takeaways. These are highly shareable and engaging.

Video: Consider short videos explaining a concept or walking through a quick demo.

5. Network Proactively: Build Genuine Connections

LinkedIn is fundamentally about connections.

Personalized Connection Requests: Always, always, always add a personalized note. Explain why you want to connect (e.g., "Enjoyed your recent post on MLOps," "Saw your work at [company] and admire [project]").

Attend Virtual Events/Webinars: LinkedIn often hosts or promotes these. Engage with speakers and other attendees in the chat.

Informational Interviews: Reach out to experienced professionals in roles or companies that interest you. Request a brief virtual coffee chat to learn about their journey and advice (be respectful of their time and prepare specific questions).

Common Mistakes to Avoid

Generic Profile: A bare-bones profile tells recruiters nothing.

No Activity: A static profile suggests disinterest or lack of current engagement.

Only Applying for Jobs: If your only activity is applying for jobs, you miss out on building a reputation that attracts opportunities.

Poorly Articulated Achievements: Don't assume recruiters understand the technical jargon. Translate your impact into business value.

By consistently implementing these strategies, you'll transform your LinkedIn profile into a dynamic, compelling representation of your skills, expertise, and passion for data. It's not just about finding your next job; it's about building a sustainable personal brand that positions you as a valuable asset in the ever-evolving data landscape. Start marketing yourself today!

[ansprotech]

Anspro Technologies, Portfolio

🚀 Our Portfolio

Welcome to the portfolio of Anspro Technologies, where innovation meets impact. With a strong presence in Bengaluru, we specialize in IT training, internships, and final-year academic project guidance for students and professionals across domains like Computer Science, ECE, and MCA.

🎓 Academic Projects

We have delivered 1000+ final-year projects across multiple technologies and domains, empowering students from top universities with real-world problem-solving experience.

✅ MCA & BCA Projects

Online Exam Portal Using Django

Student Performance Prediction Using Machine Learning

Crime Rate Prediction Using Python

Cloud-based Library Management System

✅ Computer Science Engineering Projects

AI Chatbot with NLP & Deep Learning

Secure File Transfer Using Blockchain

Real-time Traffic Analysis System

IoT-Based Smart Energy Monitoring System

✅ ECE Projects

Voice Controlled Wheelchair using Arduino

Smart Helmet with Alcohol Detection

IoT-based Women Safety System

Line Following Robot using Sensors

💼 Internship Programs

Our industry-focused internship programs are tailored to provide hands-on exposure and job-ready skills. Over 3,000+ students have successfully completed internships and received placement support.

Internship Domains:

Python Full Stack Development

Artificial Intelligence & Machine Learning

Embedded Systems & IoT

Java & Android App Development

Data Science with Power BI

Web Development with React & Node.js

Highlights:

Live Projects

Weekly Progress Reviews

Internship Certificates

Placement Assistance

🛠️ Corporate & Job-Oriented Training

We offer job-oriented training programs designed by experts, blending core concepts with industry use-cases.

Technologies Trained:

Python | Java | C | C++

Data Structures & Algorithms

Web Development (HTML, CSS, JS, React, Node.js)

AI/ML & Data Science

DevOps, AWS & Cloud Computing

🏆 Achievements

📈 92% Internship-to-Job Conversion Rate

🧑‍🎓 Trained over 10,000+ learners across India

🤝 Partnered with 50+ colleges for project training

💼 Helped 2,000+ students secure placements in 2024 alone

📸 Project Showcase

1. AI-powered Resume Ranker

Built with Python, Flask, and OpenAI APIs Enables recruiters to auto-rank resumes based on job descriptions

2. Smart Parking System (IoT)

Hardware + software integration using NodeMCU, IR sensors, and a web dashboard

3. College Event Management App

Android app developed using Java and Firebase backend

4. Weather Forecast App

ReactJS front-end with OpenWeatherMap API integration

5. Fake News Detection Using ML

NLP-based system using Tfidf + Random Forest Classifier

🎯 Client & Student Testimonials

“Anspro helped me land my first job in IT with their internship and project guidance. Truly professional and helpful!” — Karthik R, MCA Student

“As a final-year B.Tech student, I was stuck for project ideas. The team at Anspro not only helped me with ideas but also guided me through execution.” — Sneha M, CSE Student

“Their AI and ML training with internship was top-class. The exposure I got helped me in cracking my interviews.” — Naveen S, Fresher in Data Science

🧑‍💻 Our Technology Stack

Languages: Python, Java, C, C++, JavaScript

Frameworks: Django, Flask, React, Node.js, Express, Android SDK

Tools: Git, Firebase, Docker, Power BI, AWS

ML & AI: scikit-learn, TensorFlow, OpenCV, NLTK

IoT/Embedded: Arduino, Raspberry Pi, NodeMCU, Sensors

🌐 Our Clients & College Collaborations

RV College of Engineering

PES University

New Horizon College

Jain University

Acharya Institute

and 50+ more institutions across India

 Let’s Build Together

Whether you’re a student, college, or recruiter, Anspro Technologies is your trusted partner for training, internships, and innovative project development.

📍 BTM Layout, Bengaluru 📞 +91-8904436512 🌐 www.ansprotech.com 📧 info@ansprotech.com

[niilmuniversitykaithal]

Career After BCA in Data Science: Jobs, Salary & Growth

The world is producing data at an unprecedented pace, with skyrocketing demand for professionals who can analyze, manage, and interpret this data. In the event that you are a tech-savvy learner, and if you have a flair for numbers, you can solve problems. A career after BCA into Data Science could then get you a high-impact, high-paying job in the digital economy.

The BCA-Data Science curriculum integrates computer application skills with data-driven thinking to prepare students for the changing demands of the workforce in the twenty-first century. Questions that are asked frequently, job roles at the top, salary packages that are expected, and also the full career scope after BCA in Data Science will all be covered.

What is BCA in Data Science?

A Bachelor of Computer Applications (BCA) with a specialization in Data Science is a three-year undergraduate program which can train students in machine learning, statistical computing, data analysis, and also software development.

Unlike traditional BCA programs, BCA in Data Science includes coursework in:

Data Mining

Artificial Intelligence

Machine Learning Algorithms

Data Visualization

Predictive Analytics

Cloud Computing

Students become job-ready professionals with abilities to interpret business trends, automate processes, and build predictive models, closing the divide between programming and statistical reasoning.

Why Choose Data Science After BCA?

The field of data science thrives within all sectors from finance and healthcare to e-commerce and media. Reports in the industry say that data science jobs are expected to grow by over 30% in a period of the next five years. When you choose BCA — Data Science, a versatile, future-proof foundation is provided.

Key Benefits:

Career growth along with high salary potential

Workers work remotely coupled with freelance flexibility

Industry demand abroad along with in India

A firm foundation aids graduate study. The MCA, MSc DS, and MBA Analytics Data Analyst are among them

BCA Data Science Syllabus Overview

The BCA data science syllabus is structured in such a way that it progressively builds your programming, statistical, also analytical skills. A common illustration follows:

Core Programming Modules:

Computer Fundamentals and Programming (C, C++)

Data Structures and Algorithms

Python for Data Science

Object-Oriented Programming in Java

Data Science Specific Modules:

Statistics & Probability for Data Science

Database Management (SQL, NoSQL)

Data Warehousing and Big Data

R Programming

Machine Learning (Supervised & Unsupervised)

Data Visualization Tools (Tableau, Power BI)

Deep Learning and AI Concepts

Practical Components:

Capstone Projects with Real Datasets

Industry Internships

Case Study-Based Assessments

Tools: Python, R, Excel, Jupyter, Hadoop, Spark

The BCA students at NIILM University are trained through live projects in addition to simulations using datasets from retail, healthcare, finance, and social media sectors.

Career Opportunities After BCA in Data Science

Upon completing a BCA in Data Science, graduates are prepared for a variety of job roles in analytics, AI, and software development.

Top Career Paths:

Analysing corporate data and producing insights that may be put into practice.

Data Scientist: Building predictive models using algorithms and statistical tools.

Machine Learning Engineer: Developing AI models that automate decision-making.

Business Intelligence Developer: Creating dashboards and reporting tools.

Big Data Engineer: Managing large-scale data architectures.

Data Engineer: Constructing and maintaining scalable data pipelines.

AI/ML Consultant: Helping organizations implement machine learning solutions.

Top Recruiters Hiring BCA Data Science Graduates

The demand for data scientist after BCA is strong across multiple industries, not limited to tech firms.

Key Companies Hiring:

Infosys

TCS

Wipro

Cognizant

Accenture

Amazon

Flipkart

Zomato

HDFC Bank

IBM

Deloitte

Startups in FinTech, HealthTech, EdTech

Many startups prefer BCA graduates with strong data skills due to their practical training and flexibility.

Salary Trends After BCA Data Science

A major advantage of pursuing BCA in Data Science is the high earning potential, even at the entry-level.

Salaries vary based on your location, portfolio, and project experience. Remote work and international positions may increase these numbers.

Is BCA Better Than BSc in Data Science?

While both courses can lead to a data science career, BCA focuses more on application development and programming, making it ideal for roles that blend coding with analytics.

Frequently Asked Questions (FAQs)

1. Can I become a data scientist after BCA?

Yes. With the right training in programming, statistics, and machine learning, you can become a data scientist after BCA. Enrolling in a specialized BCA Data Science program or pursuing certifications can enhance your credentials.

2. How much does a graduate with a BCA in data science make?

Starting salaries typically range from ₹3.5 — ₹6 LPA. With experience and upskilling, this can grow to ₹10–15 LPA or more in 4–5 years.

3. Is BCA better than BSc in Data Science?

If you enjoy coding and building applications along with data analysis, BCA is better suited for you. BSc is more mathematical and theoretical in nature.

4. What tools are taught in BCA Data Science course?

Common tools include Python, R, SQL, Tableau, Power BI, Excel, Jupyter Notebooks, Hadoop, and machine learning libraries like scikit-learn and TensorFlow.

5. Which companies hire BCA Data Science graduates?

Data science-focused BCA grads are frequently employed by TCS, Infosys, Cognisant, IBM, Amazon, Wipro, Deloitte, and other companies.

6. Is BCA Data Science a good career?

Yes. It offers high demand, strong salaries, and future growth in AI, ML, big data, and analytics-driven roles.

7. After earning a BCA in Data Science, what is the salary?

The average starting salary is around ₹4–5 LPA. This can increase rapidly with specialization, certifications, and experience.

8. Is BCA student eligible for data scientist?

Absolutely. BCA graduates with specialization in data science or relevant project experience are eligible for entry-level data scientist roles.

9. What is the duration of the BCA Data Science course?

It is a 3-year (6-semester) undergraduate program, typically full-time and offered by universities such as NIILM.

Conclusion

BCA in Data Science is a powerful degree that prepares students for the data-driven future. With a solid grounding in coding, analytics, and machine learning, it enables graduates to build intelligent systems, solve complex problems, and drive business decisions.

At NIILM University, our BCA Data Science program blends academic excellence with hands-on learning, real-time projects, and mentorship to equip students with everything they need to succeed in this competitive field.

Ready to build a future in data science? Apply now at NIILM University and turn your analytical skills into a dynamic tech career.

[ethanstech]

Learn Smarter-Take the Best Machine Learning Classes in Pune

Let’s face it machine learning isn’t just some fancy tech trend anymore. It’s everywhere. From what you see on your social media feed to the recommendations you get on Netflix or Amazon machine learning is quietly shaping our lives every day. And if you’re in Pune (or planning to be), now is a great time to explore machine learning classes in Pune and give your career a real boost.

Whether you’re a fresh graduate wondering what’s next, a software developer looking to upskill, or someone dreaming of switching to a more exciting field machine learning could be your next big step. And lucky for you, Pune has quickly become one of the best cities in India to dive into this field.

Why Everyone’s Talking About Machine Learning

Machine learning, in simple terms, is teaching computers to learn from data and make decisions on their own. The more they “learn,” the better they get. Sounds futuristic? It is but it’s also very real and very in demand right now.

Here’s why so many people are joining machine learning classes in Pune:

There are tons of job openings in data science and AI roles

Companies are paying well for people with ML skills

It’s an exciting field with real world impact healthcare, finance, automation, even climate research

You get to work on meaningful, cutting edge technology

What You’ll Actually Learn in a Good ML Course

Don’t worry you don’t need to be a math genius or a coding wizard to get started. A good course will walk you through everything step by step. Here’s what most machine learning classes in Pune will help you master:

The basics — Learn what machine learning is and how it works

Python programming — Because it’s the most used language in ML

Popular libraries — Like Scikit learn, Pandas, TensorFlow, and Keras

Math concepts made simple — You’ll finally understand terms like regression, probability, and neural networks

Project work — Build real, hands on projects that you can show off in your resume or GitHub

Most courses also offer a certificate at the end, and many help with job placement too. So it’s not just learning it’s career planning.

How to Pick the Right Class?

Choosing the right course can feel overwhelming. Here are a few tips to help:

Look at the trainer’s experience — Are they from the industry? Do they work on real projects?

Check the course content — Make sure it’s not just theory. You want coding, projects, and problem solving.

Read reviews — Past students usually tell it like it is.

Check the schedule — If you’re working or studying, find weekend or evening batches. Flexibility matters.

The Go To Place for ML in Pune

If you’re serious about learning and want a place that’s trusted by thousands, Ethans Tech should be on your radar. Their machine learning classes in Pune are known for being practical, beginner friendly, and job oriented. The trainers are industry professionals, the curriculum is updated with real world tools, and the support doesn’t stop after the course they’ll guide you toward your career goals too.

So whether you’re new to tech or just looking to upgrade, Ethans Tech can help you confidently step into the world of machine learning.

Final Thought Machine learning is not just for coders or tech geeks anymore. With the right guidance and tools, anyone can learn it. And with so many opportunities opening up, there’s no better time than now to join machine learning classes in Pune and future proof your career.

[balajifreshbooks]

“What have you built?” – the question every recruiter asks.

If you're a student preparing for placements, internships, or freelancing opportunities… you’ve probably realized that textbook knowledge just isn’t enough anymore.

What makes your profile stand out?

✅ Real skills ✅ Project experience ✅ Recognized certification

That’s exactly what Curious Wings is offering — and it’s designed for students who are ready to take that next step.

🔍 What’s on offer?

An industry-backed internship program with:

🛠️ Practical Training 💼 Live Projects 🧑‍🏫 Mentorship by Experts 📃 Government of India Recognized Certificate 🌐 Online + Offline Modes (you choose)

🧑‍💻 Domains You Can Choose:

Full Stack Web Development

Mobile App Development

Data Science, ML, AI, Deep Learning

Python, Java, C++ Programming

Robotics / Drone Tech

UI/UX

Cybersecurity & Networking

Whether you're in 2nd year or final year, this is a great way to build your portfolio.

📅 Duration & Pricing:

Mode15 Days30 DaysOnline₹2000₹4000Offline (Chennai)₹3000₹5000

Low-cost. High-impact.

📌 Apply Here:

👉 https://forms.gle/FNm2i7N75sdHC46o7

📲 Payment via UPI: 9962126316@okbizaxis 💬 WhatsApp for support: +91 9962126316

🎓 Whether you're looking to explore a new domain, work on your first real-world project, or just add a certified internship to your resume — Curious Wings gives you that opportunity.