vignesh2022

[vignesh2022]

DEEPSPHERE.AI OFFERS!!!!!!!!!!!!

DeepSphere.ai offers an School Curriculum in three levels- Foundation, Intermediate and Advanced via a personalised iLMS platform to empower students in the field of Artificial Intelligence.

To learn more about AI, visit - https://www.deepsphere.ai

[vignesh2022]

CONVERSATIONAL ARTIFICIAL INTELLIGENCE

ANNOUNCEMENT

I am thrilled to share my book titled "Conversational Artificial Intelligence," available on Amazon (ASIN: BOBN29PSNM) to advance your skills and knowledge on Conversational Artificial Intelligence to develop self-learning robots.

WHAT IS CONVERSATIONAL ARTIFICIAL INTELLIGENCE?

Conversational artificial intelligence is an artificially created intelligence (speaking, reading, writing) without human interaction and no manual intervention as an alternative or substitute for human intelligence.

TYPE OF CONVERSATIONAL ARTIFICIAL INTELLIGENCE

In our day-to-day life, conversations typically occur in three forms voice, text, and graphs (diagrammatical representation). The goal is to create conversations between a machine and a human or a system using data of type voice, text, and graphs. The machine learning models are trained with text data in text-based conversation—similarly, the model is trained with voice and graphs.

WHAT ARE SELF-LEARNING ROBOTS? 

A self-learning robot acts based on learning data, environments, situations, or circumstances. A self-learning robot does not depend on pre-developed instructions. Currently, most robots or even robotic process automation (RPA) are developed by a predefined set of instructions either programmatically or through industry-leading RPA tools like UiPath, Automation Anywhere, and Blue Prism.

 

WHAT WILL YOU LEARN?

This book will teach you the foundational building blocks to develop self-learning robots, such as bots, and the learners will learn to build machine-learning models to teach bots and work with extensive text, voice, and graph data. Ultimately, the learner will make the bots interact with the system to generate the response and become an alternate or substitute for a human-based service.

WHO CAN BENEFIT?

This material empowers those interested in coding, cloud computing, machine learning, and getting started with developing simple machine learning applications (MLOps) on Google Cloud. We aim to address everyone's needs, from students to professionals to leaders. Accordingly, we created these materials for phased learning. Our exclusive phased learning approach enables learners to start from the foundation and gradually takes them to the advanced level of learning. Anyone can follow this learning material without knowledge of Google Cloud products and services from a basic understanding of technologies.

HOW CAN I GET A COPY OF A BOOK?

You can get a copy of this book on Amazon.com or by clicking the below link.

To learn more about AI, visit - https://www.deepsphere.ai/

#datascience # Artificial Intelligence #Conversational Ai # Elearning

[vignesh2022]

16th Annual International Investment & Venture Funding Seminar

From December 12 - 14th, 2022, US Global Business Forum (USGBF) organised its 16th Annual International  Investment & Venture Funding Seminar focusing on sustainable economic growth and business development. The USGBF, a leading business forum in the US/ India and beyond, continues to collaborate with esteemed corporate, institutional, academic, and media partners, political and economic forums, as well as international institutions and organizations, constantly working to widen the network of support for the dissemination of the message "MADE IN AMERICA / MADE IN INDIA" as well as "BILATERAL TRADE," between countries and aims to eradicate poverty and advance equality of opportunity. In this prestigious forum, many VVIPs will be participating, including the Governor of California and the Former Mayor of Los Angeles. DeepSphere.AI is also invited to this international seminar; our Co-Founder and Chief AI Architect, Mr. Jothi Periasamy, will participate in this event. As a keynote speaker, Mr. Jothi Periasamy will present his speech on the business and investment opportunities in the field of Artificial Intelligence (AI) and how AI can enhance entrepreneurial activities. In addition, Mr. Jothi will also speak about the impact of the AI economy in the near future.

#deepsphere #ai #machinelearning #ai Architect #Data Science

[vignesh2022]

CONVERSATIONAL ARTIFICIAL INTELLIGENCE

ANNOUNCEMENT

I am thrilled to share my book titled "Conversational Artificial Intelligence," available on Amazon (ASIN: BOBN29PSNM) to advance your skills and knowledge on Conversational Artificial Intelligence to develop self-learning robots.

WHAT IS CONVERSATIONAL ARTIFICIAL INTELLIGENCE?

Conversational artificial intelligence is an artificially created intelligence (speaking, reading, writing) without human interaction and no manual intervention as an alternative or substitute for human intelligence.

TYPE OF CONVERSATIONAL ARTIFICIAL INTELLIGENCE

In our day-to-day life, conversations typically occur in three forms voice, text, and graphs (diagrammatical representation). The goal is to create conversations between a machine and a human or a system using data of type voice, text, and graphs. The machine learning models are trained with text data in text-based conversation—similarly, the model is trained with voice and graphs.

WHAT ARE SELF-LEARNING ROBOTS? 

A self-learning robot acts based on learning data, environments, situations, or circumstances. A self-learning robot does not depend on pre-developed instructions. Currently, most robots or even robotic process automation (RPA) are developed by a predefined set of instructions either programmatically or through industry-leading RPA tools like UiPath, Automation Anywhere, and Blue Prism.

 

WHAT WILL YOU LEARN?

This book will teach you the foundational building blocks to develop self-learning robots, such as bots, and the learners will learn to build machine-learning models to teach bots and work with extensive text, voice, and graph data. Ultimately, the learner will make the bots interact with the system to generate the response and become an alternate or substitute for a human-based service.

WHO CAN BENEFIT?

This material empowers those interested in coding, cloud computing, machine learning, and getting started with developing simple machine learning applications (MLOps) on Google Cloud. We aim to address everyone's needs, from students to professionals to leaders. Accordingly, we created these materials for phased learning. Our exclusive phased learning approach enables learners to start from the foundation and gradually takes them to the advanced level of learning. Anyone can follow this learning material without knowledge of Google Cloud products and services from a basic understanding of technologies.

HOW CAN I GET A COPY OF A BOOK?

You can get a copy of this book on Amazon.com or by clicking the below link.

To learn more about AI, visit - https://www.deepsphere.ai/

#datascience # Artificial Intelligence #Conversational Ai # Elearning

[vignesh2022]

DeepSphere.AI's Nine Certificate Program in Interdisciplinary Studies

Data science has been seen as either an academic concept or scientific research, and it has not been seen as an industry solution for enterprises. We took our first step to change this perspective by developing a data science textbook for industrial solutions. Our goal is to develop simple and easy-to-follow learning material, enabling the business to be confident design and building data science solutions for real-world industry problems and quickly realize Measurable business values. This textbook is widely used by students pursuing a bachelor’s degree in data science, artificial intelligence, and cognitive sciences.

Learning data science for the enterprise is the interdisciplinary study of business, data, machine learning, and computing. After deep research, we learned that the industry lacks a single learning resource covering this multidisciplinary field of study. Therefore, we developed these learning resources to address implementing enterprise data science solutions from problem statements to deployment. This learning material demonstrates the steps and processes in developing data science solutions for retail, consumer, health, energy, and oil & gas industries.

We developed this learning material by keeping everyone in focus. We aim to address everyone’s needs, from students to professionals to leaders. We created these materials for a phased learning approach. The phased learning approach enables the learners to start from the foundation, even if they do not know anything about the topics. Then it takes them to the advanced level of learning. Anyone should follow this learning material without prior knowledge of data science since it is developed from the foundational level of understanding.

We use Google cloud as a development platform to design and develop technical architecture, system interfaces, data architecture, ETL (extract transform and load), and application artefacts for data engineering, machine learning models, and data science solutions.

To learn more about AI, visit — https://www.deepsphere.ai/

Watch Nine Certificate Course Video - Youtube Link - https://www.youtube.com/watch?v=iXirGcE6Nsc&t=24s

[vignesh2022]

Welcome to the World of Artificial Intelligence (AI)

An exclusive video for School students to learn Artificial Intelligence - Intermediate-level, DeepSphere.ai offers an advanced course for the School in three levels - foundation, intermediate and advanced.

Here Personalised learning programs are provided in our all-in-one iLMS to empower students in Artificial Intelligence. Our interdisciplinary and phased learning approach is unique and advanced, providing interactive learning videos with customised core concepts and Lab infra. Also, we provide real-world use cases and applications to understand AI. This program enables students to understand the basics of artificial intelligence, how AI works, why it is important to learn AI, the benefits of AI in the real world and more.

This exclusive program is designed for students to learn AI from the beginner to the advanced level. We present a blend of theory, Lab programs, and Quizzes.

This progression will expose students to technologies like Google Cloud, Colab, Jupyter Notebook, and GitHub. Simultaneously, students will understand Python Programming, Data Structures, and Algorithms.

Applied Artificial Intelligence Intermediate Level  - https://youtu.be/Se-MkL9Na2Q

To learn more about AI, visit — https://www.deepsphere.ai/

[vignesh2022]

The Future of Artificial Intelligence (AI) is here

DeepSphere offers an advanced educational course video for the School Curriculum in three levels- Foundation, Intermediate and Advanced via a personalised iLMS platform to empower students in the field of Artificial Intelligence. 

Our interdisciplinary and phased learning approach is entirely new and unique, providing interactive learning videos with customised animations and graphics to grasp the core concepts thoroughly. In addition, we deliver industry-relevant real-world use cases and applications to understand the impact of AI. 

DeepSphere curriculum is designed for everyone. It is easy to learn from the beginner to an advanced level, where every student can become a potential data scientist. 

Deepsphere is not just limited to theoretical learning but is also extended to laboratory sessions and periodic assessments. 

In addition, we have a customised GitHub Repository; where students can learn from a sea of programs and practice exercises for each level. With the help of personalised quiz modules for each unit, we assess the periodic progress of the learners and focus on continuous improvement to scale greater heights. 

This progression will expose students to technologies like Google Cloud, Colab, Jupyter Notebook, and GitHub. 

Simultaneously, the students will understand Python Programming, Data Structures and Algorithms. In this video, students will learn the foundation-level course's first unit. The right time to Pitch in! Shape your future in Artificial Intelligence with DeepSphere.AI. All the Best!!!! 

Watch Applied Artificial Intelligence Foundation Level - https://youtu.be/fJolknaZOZQ

To learn more about AI, visit - https://www.deepsphere.ai/ 

[vignesh2022]

DeepSphere.AI transformed students who could now become Data Scientists (At Databricks).

Click here ➡️ https://lnkd.in/gzfwdMev  For extensive details about this benchmark study. 

LET'S START WITH A PROVEN AND VERIFIABLE ACCOMPLISHMENT:

Good morning, Jothi, how are you?

I have got an offer from Databricks in my college placements. They really recognized my work and appreciated the work on MLOps as well. I am thankful for your training and all your help and motivation which has played a vital role in helping me get an offer at Databricks. I would also like to add your name to the list of mentors I have worked under if you are fine with it. In that case they might reach out to you as well.

Amrith Venkatachalapathy (Final Year Computer Science and Engineering Student)

Amrita Vishwa Vidyapeetham

Coimbatore 641112, India,

BACKGROUND:

To date, we have not seen a benchmark study on the effectiveness of a data science program.

In this article, we provide enough details based on our teaching and some of the large-scale data science industry projects we are working on with Google and the AWS team. Many data science programs are offered in the market, from big brand names to small educational institutions. Still, we are unsure which one to enroll in and which may be the best choice to achieve my goals and objectives.

WHAT DO WE SEE IN THE MARKET:

We have several conceptual data science programs taught by academically well-qualified professionals without industry implementation exposure. We may also see another extreme, a data science program filled with python programs and taught by technical experts. 

We need a balanced curriculum where the learner can learn both concepts and technology, which should be guided by someone who has successfully implemented one or two data science projects for real industry clients at a production scale. The modern data science curriculum should teach beyond use case development and Python syntax.

A BENCHMARK STUDY FOR HIGHLY PRODUCTIVE DATA SCIENCE LEARNING:

We conducted this benchmark study with 500+ students studying data science in the bachelor's program and 243+ teachers teaching data science.

500+ DATA SCIENTISTS: Our six semesters bachelor's in data science program is offered at SRM university. The study focused on transforming students into employable data scientists with industry skills. Around 500+ students are studying across all campuses and semesters. 

243+ DATA SCIENCE TEACHERS: HODs, professors, assistant professors, research scholars, and management staff from 110 universities and colleges provided feedback both in quantitative and qualitative formats. Approximately 243 teachers participated in this benchmark and shared their views on our data science program advancement. Here is the participant's profile.

PhDs: 63

Professors: 09

Assistant Professors: 55

Associate Professors: 34

Research Scholars: 11

WHAT DO YOU NEED TO LOOK FOR IN AN EFFECTIVE AND PRODUCTIVE DATA SCIENCE LEARNING PROGRAM: 

An effective data science program should balance some or all of the following, an Interdisciplinary learning approach, industrial curriculum, data science advancement, and enabling technologies such as Databricks, Google Cloud, AWS, SAP (Business Process), and other relevant technologies.

I am sharing our benchmarked and proven interdisciplinary data science curriculum, which is currently taught to 500+ data scientists and transforms learners into employable resources at the end.  

SEMESTER: 01

Language - I

Role of Applied Mathematics in AI

Understanding Retail Business Domain: Part I

Introduction to Artificial Intelligence

Introduction to Advanced Computing 

Introduction to Data Engineering

Data Analysis Lab: Databricks

Python Lab: Google Cloud 

Course Project: I: Retail: Lead Profile

SEMESTER: 02

Language - II

Role of Statistics in AI

Understanding Retail Business Domain: Part II

Introduction to Data Science

Advanced Computing with Distributed Data Processing

Introduction to Machine Learning

Data Science Lab: Databricks

Machine Learning Lab: Google Cloud 

Course Project: II: Retail: Product Profiling

SEMESTER: 03

Introduction to Deep Learning

Understanding Healthcare Business Domain: Part I

Advanced Computing with Python and GCP

Introduction to Natural Language Processing

Data Engineering for Enterprise

Ethical AI

Data Engineering Lab: I: Databricks

Course Project: III: Health: Patient Adherence

Industrial Internship: I

SEMESTER: 04

Deep Learning for Enterprise

Understanding Healthcare Business Domain: Part II

Introduction to Computer Vision

Working with Big Data

Data Science for Enterprise

Business Communication and Leadership Development

Data Engineering Lab: II: Databricks

Deep Learning Lab: Google Cloud 

Course Project: IV: Health: Patient Length of Stay (LOS)

Industrial Internship: II

SEMESTER: 05

Intelligent Automation

Computer Vision Applications for Enterprise

Advanced Analytics and Data Visualization for Enterprise

Machine Learning for Enterprise

Technology Leadership and Innovation Management - I

Data Visualization Lab: I: Databricks

Course Project: V: Energy: Energy Efficiency

Industrial Internship: III

SEMESTER: 06

Intelligent Automation for Enterprise

Digital Transformation

Working with IIoT Data

Technology Leadership and Innovation Management - II

Social Media and Text Analytics

Data Visualization Lab: II: Google Data Studio & Power BI

Final Course Project: VI: Energy: Energy Demand Forecasting