#no code ML platforms

[nextbrainai]

Discover how no code machine learning is revolutionizing the way non technical staff can harness the power of AI. This guide will walk you through the basics!

[jcmarchi]

More Super Models is All We Need

New Post has been published on https://thedigitalinsider.com/more-super-models-is-all-we-need/

More Super Models is All We Need

Five major foundation models released in a single week!

Created Using DALL-E

Next Week in The Sequence:

Edge 371: Our series about reasoning in LLMs continues with an exploration of the Skeleton-of-Thoughts(SoT) method. We review the original SoT paper by Microsoft Research and the Dify framework for developing LLM applications.

Edge 372: We review the research behind CALM. Google Deepmind’s technique to augment LLMs with, well, other LLMs!

You can subscribe below!

TheSequence is a reader-supported publication. To receive new posts and support my work, consider becoming a free or paid subscriber.

📝 Editorial: More Super Models is All We Need

The release of new foundation models is nothing new in this ever-evolving generative AI market. Yet, last week felt quite overwhelming. I sat down to write this editorial on Friday morning, afraid that I might have missed some new announcements at the end of the week. This fear stemmed from experiencing one of the most impressive weeks in the history of generative AI technology. In just a few days, we witnessed the announcements of five mega generative AI models by some of the major players in the space. What is even more impressive is that each of these releases is pushing a specific line of innovation within generative AI, rather than merely copying others.

Let’s do a quick recap to put things in context.

OpenAI’s Sora: OpenAI unveiled Sora, a text-to-video generative model that can create astonishingly real videos. The key highlight here is, obviously, OpenAI’s push for innovation in the video space.

Google’s Gemini 1.5: Just a week after releasing Gemini 1.0 Ultra, Google unveiled Gemini 1.5, its new-generation multimodal model which boasts an impressive one million tokens. Gemini 1.5 includes several innovations, such as a new mixture of experts architectures and, obviously, the large-scale context window.

Cohere’s Aya: As a competitor to OpenAI, Cohere has dived into open source with the release of Aya, a new multilingual LLM supporting 101 languages. The key innovation here is Cohere’s push into open source and the wide support for different languages.

Meta’s V-JEPA: Meta AI released the code for V-JEPA, a non-generative model capable of predicting missing parts of videos using an abstract representation space. V-JEPA represents another step in Meta’s vision of enabling self-supervised learning as the core foundation of AGI.

Stability AI’s Stable Cascade: Stability AI has open-sourced Stable Cascade, a new text-to-image model. What’s new here? Well, Stable Cascade is based on the new Würstchen architecture, which enables efficiency and speed in large-scale image generation models.

How’s that for a single week? These releases are not only likely to play a significant role in the next generation of generative AI applications, but they are also championing new and unique innovations in the space.

Keep the supermodels coming!

📌 Mastering AI and ML at Production Scale at the apply() Virtual Conference

Join the next apply() virtual conference on Wednesday, April 3, for a free event that brings together the engineering community to master AI and ML in production. Since 2021, apply() has hosted more than 24,000 people with a single purpose: helping people advance their skills and expertise in AI/ML. 

Experienced engineers and visionaries in the industry will share best practices and actionable guidance for transitioning from experimental models to highly scalable applications. In the past, Databricks CEO Ali Ghodsi and Min Cai from Uber shared invaluable insights, covering everything from LLMs to best practices for building scalable machine learning platforms – and there’s even more planned for April! 

🔎 ML Research

V-JEPA

Meta AI published a paper and source code detailingVideo Joint Embedding Predictive Architecture( V-JEPA), another model towards their self-supervised learning vision. V-JEPA learns by predicting missing types of videos in an abstract representation space —> Read more.

More Agents is All You Need

Tencent AI Research published an interesting paper proposing a paper to enhance the performance of LLMs using a sampling and voting method. The technique seems to scale with the number of agents initiated and its performance is also proportional to the complexity of the task —> Read more.

MGIE

Researchers from Apple and UC Santa Barbara published a paper detailing MLLM-Guided Image Editing(MGIE), an instruction-based image editing model. MGIE takes expressive instructions as input and derives explicit guidance —> Read more.

MOEs and Scaling Laws

Researchers from Google DeepMind and several universities published a paper that highlights some insights about the scaling laws in mixture of experts(MoEs) architectures. The core contribution of the paper shows that MoE architectures result in more parameter scalable models —> Read more.

GraphRAG

Microsoft Research published details about GraphRAG, a technique used to build knowledge graphs in private datasets using the context knowledge of LLMs. GraphRAG improves over traditional RAG techniques when operating in complex private datasets —> Read more.

🤖 Cool AI Tech Releases

Sora

OpenAI unveiled a preview of Sora, an astonishing video generation model —> Read more.

Aya

Cohere open sourced Aya, an instruction fine-tuned, multilingual LLM with support for over 100 languages —> Read more.

Gemini 1.5

Google unveiled the next version of Gemini just a week after its prior release —> Read more.

Chat with RTX

NVIDIA launched Chat with RTX, a demo to run an LLM agent in a local computer and personalized with data stored in a Windows PC —> Read more.

Stable Cascade

Stability AI open sourced Stable Cascade, a new text-to-image model that is easier to fine-tune and optimized —> Read more.

ChtGPT Memory

OpenAI announced new memory capabilities for ChatGPT —> Read more.

LangSmith

LangChain announced the general availability of LangSmith, its tool for LLM testing and monitoring —> Read more.

🛠 Real World ML

FlyteInteractive

LinkedIn discusses details about FlyteInteractive, a tool for debugging and interacting with AI models deployed in Kubernetes pods —> Read more.

📡AI Radar

Sierra, the company started by former Salesforce Co-CEO and OpenAI board member Bret Taylor, came out of stealth mode with a $110 million raised.

NVIDIA surpassed Amazon and Alphabet to become the fourth most valuable company in the world.

GPU platform Lambda announced a $320 million round.

LangChain raised $25 million in new funding led by Sequoia Capital.

Apple is reportedly working on a new AI tool to compete with GitHub CoPilot.

Guardrails AI, a company building a platform for safeguarding foundation models, announced a $7.5 million series A.

AIX Ventures raised $200 million for its second AI-focused fund.

Zocks, an AI platform for extracting structured data from conversations, raised $5.5 million in funding.

Zylon, the makers of PrivateGPT, raised $3.2 million in a pre-seed round to bring generative AI to SMBs.

Conversational AI platform raised $30 million in new funding.

AI VC firm Founderful is raising $120 million to invest in Swiss AI startups.

Sequence analytics startups Motif Analytics announced a $5.7 million seed round.

AI marketing platform Alembic announced a $14 million Series A.

ZenDesk acquired AI-based customer service platform Klaus.

Travel startup Layla announced the acquisition of AI-powered travel planning bot Roam Around.

Vector search startup Marqo raised $12.5 million in new funding.

AI gaming platform Ultiverse raised $4 million from strategic investors.

TheSequence is a reader-supported publication. To receive new posts and support my work, consider becoming a free or paid subscriber.

[chiragqlanceblogs]

How Python Powers Scalable and Cost-Effective Cloud Solutions

Explore the role of Python in developing scalable and cost-effective cloud solutions. This guide covers Python's advantages in cloud computing, addresses potential challenges, and highlights real-world applications, providing insights into leveraging Python for efficient cloud development.

Introduction

In today's rapidly evolving digital landscape, businesses are increasingly leveraging cloud computing to enhance scalability, optimize costs, and drive innovation. Among the myriad of programming languages available, Python has emerged as a preferred choice for developing robust cloud solutions. Its simplicity, versatility, and extensive library support make it an ideal candidate for cloud-based applications.

In this comprehensive guide, we will delve into how Python empowers scalable and cost-effective cloud solutions, explore its advantages, address potential challenges, and highlight real-world applications.

Why Python is the Preferred Choice for Cloud Computing?

Python's popularity in cloud computing is driven by several factors, making it the preferred language for developing and managing cloud solutions. Here are some key reasons why Python stands out:

Simplicity and Readability: Python's clean and straightforward syntax allows developers to write and maintain code efficiently, reducing development time and costs.

Extensive Library Support: Python offers a rich set of libraries and frameworks like Django, Flask, and FastAPI for building cloud applications.

Seamless Integration with Cloud Services: Python is well-supported across major cloud platforms like AWS, Azure, and Google Cloud.

Automation and DevOps Friendly: Python supports infrastructure automation with tools like Ansible, Terraform, and Boto3.

Strong Community and Enterprise Adoption: Python has a massive global community that continuously improves and innovates cloud-related solutions.

How Python Enables Scalable Cloud Solutions?

Scalability is a critical factor in cloud computing, and Python provides multiple ways to achieve it:

1. Automation of Cloud Infrastructure

Python's compatibility with cloud service provider SDKs, such as AWS Boto3, Azure SDK for Python, and Google Cloud Client Library, enables developers to automate the provisioning and management of cloud resources efficiently.

2. Containerization and Orchestration

Python integrates seamlessly with Docker and Kubernetes, enabling businesses to deploy scalable containerized applications efficiently.

3. Cloud-Native Development

Frameworks like Flask, Django, and FastAPI support microservices architecture, allowing businesses to develop lightweight, scalable cloud applications.

4. Serverless Computing

Python's support for serverless platforms, including AWS Lambda, Azure Functions, and Google Cloud Functions, allows developers to build applications that automatically scale in response to demand, optimizing resource utilization and cost.

5. AI and Big Data Scalability

Python’s dominance in AI and data science makes it an ideal choice for cloud-based AI/ML services like AWS SageMaker, Google AI, and Azure Machine Learning.

Looking for expert Python developers to build scalable cloud solutions? Hire Python Developers now!

Advantages of Using Python for Cloud Computing

Cost Efficiency: Python’s compatibility with serverless computing and auto-scaling strategies minimizes cloud costs.

Faster Development: Python’s simplicity accelerates cloud application development, reducing time-to-market.

Cross-Platform Compatibility: Python runs seamlessly across different cloud platforms.

Security and Reliability: Python-based security tools help in encryption, authentication, and cloud monitoring.

Strong Community Support: Python developers worldwide contribute to continuous improvements, making it future-proof.

Challenges and Considerations

While Python offers many benefits, there are some challenges to consider:

Performance Limitations: Python is an interpreted language, which may not be as fast as compiled languages like Java or C++.

Memory Consumption: Python applications might require optimization to handle large-scale cloud workloads efficiently.

Learning Curve for Beginners: Though Python is simple, mastering cloud-specific frameworks requires time and expertise.

Python Libraries and Tools for Cloud Computing

Python’s ecosystem includes powerful libraries and tools tailored for cloud computing, such as:

Boto3: AWS SDK for Python, used for cloud automation.

Google Cloud Client Library: Helps interact with Google Cloud services.

Azure SDK for Python: Enables seamless integration with Microsoft Azure.

Apache Libcloud: Provides a unified interface for multiple cloud providers.

PyCaret: Simplifies machine learning deployment in cloud environments.

Real-World Applications of Python in Cloud Computing

1. Netflix - Scalable Streaming with Python

Netflix extensively uses Python for automation, data analysis, and managing cloud infrastructure, enabling seamless content delivery to millions of users.

2. Spotify - Cloud-Based Music Streaming

Spotify leverages Python for big data processing, recommendation algorithms, and cloud automation, ensuring high availability and scalability.

3. Reddit - Handling Massive Traffic

Reddit uses Python and AWS cloud solutions to manage heavy traffic while optimizing server costs efficiently.

Future of Python in Cloud Computing

The future of Python in cloud computing looks promising with emerging trends such as:

AI-Driven Cloud Automation: Python-powered AI and machine learning will drive intelligent cloud automation.

Edge Computing: Python will play a crucial role in processing data at the edge for IoT and real-time applications.

Hybrid and Multi-Cloud Strategies: Python’s flexibility will enable seamless integration across multiple cloud platforms.

Increased Adoption of Serverless Computing: More enterprises will adopt Python for cost-effective serverless applications.

Conclusion

Python's simplicity, versatility, and robust ecosystem make it a powerful tool for developing scalable and cost-effective cloud solutions. By leveraging Python's capabilities, businesses can enhance their cloud applications' performance, flexibility, and efficiency.

Ready to harness the power of Python for your cloud solutions? Explore our Python Development Services to discover how we can assist you in building scalable and efficient cloud applications.

FAQs

1. Why is Python used in cloud computing?

Python is widely used in cloud computing due to its simplicity, extensive libraries, and seamless integration with cloud platforms like AWS, Google Cloud, and Azure.

2. Is Python good for serverless computing?

Yes! Python works efficiently in serverless environments like AWS Lambda, Azure Functions, and Google Cloud Functions, making it an ideal choice for cost-effective, auto-scaling applications.

3. Which companies use Python for cloud solutions?

Major companies like Netflix, Spotify, Dropbox, and Reddit use Python for cloud automation, AI, and scalable infrastructure management.

4. How does Python help with cloud security?

Python offers robust security libraries like PyCryptodome and OpenSSL, enabling encryption, authentication, and cloud monitoring for secure cloud applications.

5. Can Python handle big data in the cloud?

Yes! Python supports big data processing with tools like Apache Spark, Pandas, and NumPy, making it suitable for data-driven cloud applications.

[raomarketingpro]

Free AI Tools

Artificial Intelligence (AI) has revolutionized the way we work, learn, and create. With an ever-growing number of tools, it’s now easier than ever to integrate AI into your personal and professional life without spending a dime. Below, we’ll explore some of the best free AI tools across various categories, helping you boost productivity, enhance creativity, and automate mundane tasks.

Wanna know about free ai tools

1. Content Creation Tools

ChatGPT (OpenAI)

One of the most popular AI chatbots, ChatGPT, offers a free plan that allows users to generate ideas, write content, answer questions, and more. Its user-friendly interface makes it accessible for beginners and professionals alike.

Best For:

Writing articles, emails, and brainstorming ideas.

Limitations:

Free tier usage is capped; may require upgrading for heavy use.

Copy.ai

Copy.ai focuses on helping users craft engaging marketing copy, blog posts, and social media captions.

2. Image Generation Tools

DALL·EOpenAI’s DALL·E can generate stunning, AI-created artwork from text prompts. The free tier allows users to explore creative possibilities, from surreal art to photo-realistic images.

Craiyon (formerly DALL·E Mini)This free AI image generator is great for creating quick, fun illustrations. It’s entirely free but may not match the quality of professional tools.

3. Video Editing and Creation

Runway MLRunway ML offers free tools for video editing, including AI-based background removal, video enhancement, and even text-to-video capabilities.

Pictory.aiTurn scripts or blog posts into short, engaging videos with this free AI-powered tool. Pictory automates video creation, saving time for marketers and educators.

4. Productivity Tools

Notion AINotion's AI integration enhances the already powerful productivity app. It can help generate meeting notes, summarize documents, or draft content directly within your workspace.

Otter.aiOtter.ai is a fantastic tool for transcribing meetings, interviews, or lectures. It offers a free plan that covers up to 300 minutes of transcription monthly.

5. Coding and Data Analysis

GitHub Copilot (Free for Students)GitHub Copilot, powered by OpenAI, assists developers by suggesting code and speeding up development workflows. It’s free for students with GitHub’s education pack.

Google ColabGoogle’s free cloud-based platform for coding supports Python and is perfect for data science projects and machine learning experimentation.

6. Design and Presentation

Canva AICanva’s free tier includes AI-powered tools like Magic Resize and text-to-image generation, making it a top choice for creating professional presentations and graphics.

Beautiful.aiThis AI presentation tool helps users create visually appealing slides effortlessly, ideal for professionals preparing pitch decks or educational slides.

7. AI for Learning

Duolingo AIDuolingo now integrates AI to provide personalized feedback and adaptive lessons for language learners.

Khanmigo (from Khan Academy)This AI-powered tutor helps students with math problems and concepts in an interactive way. While still in limited rollout, it’s free for Khan Academy users.

Why Use Free AI Tools?

Free AI tools are perfect for testing the waters without financial commitments. They’re particularly valuable for:

Conclusion

AI tools are democratizing access to technology, allowing anyone to leverage advanced capabilities at no cost. Whether you’re a writer, designer, developer, or educator, there’s a free AI tool out there for you. Start experimenting today and unlock new possibilities!

4o

[nividawebsolutions]

Top Trends in Software Development for 2025

The software development industry is evolving at an unprecedented pace, driven by advancements in technology and the increasing demands of businesses and consumers alike. As we step into 2025, staying ahead of the curve is essential for businesses aiming to remain competitive. Here, we explore the top trends shaping the software development landscape and how they impact businesses. For organizations seeking cutting-edge solutions, partnering with the Best Software Development Company in Vadodara, Gujarat, or India can make all the difference.

1. Artificial Intelligence and Machine Learning Integration:

Artificial Intelligence (AI) and Machine Learning (ML) are no longer optional but integral to modern software development. From predictive analytics to personalized user experiences, AI and ML are driving innovation across industries. In 2025, expect AI-powered tools to streamline development processes, improve testing, and enhance decision-making.

Businesses in Gujarat and beyond are leveraging AI to gain a competitive edge. Collaborating with the Best Software Development Company in Gujarat ensures access to AI-driven solutions tailored to specific industry needs.

2. Low-Code and No-Code Development Platforms:

The demand for faster development cycles has led to the rise of low-code and no-code platforms. These platforms empower non-technical users to create applications through intuitive drag-and-drop interfaces, significantly reducing development time and cost.

For startups and SMEs in Vadodara, partnering with the Best Software Development Company in Vadodara ensures access to these platforms, enabling rapid deployment of business applications without compromising quality.

3. Cloud-Native Development:

Cloud-native technologies, including Kubernetes and microservices, are becoming the backbone of modern applications. By 2025, cloud-native development will dominate, offering scalability, resilience, and faster time-to-market.

The Best Software Development Company in India can help businesses transition to cloud-native architectures, ensuring their applications are future-ready and capable of handling evolving market demands.

4. Edge Computing:

As IoT devices proliferate, edge computing is emerging as a critical trend. Processing data closer to its source reduces latency and enhances real-time decision-making. This trend is particularly significant for industries like healthcare, manufacturing, and retail.

Organizations seeking to leverage edge computing can benefit from the expertise of the Best Software Development Company in Gujarat, which specializes in creating applications optimized for edge environments.

5. Cybersecurity by Design:

With the increasing sophistication of cyber threats, integrating security into the development process has become non-negotiable. Cybersecurity by design ensures that applications are secure from the ground up, reducing vulnerabilities and protecting sensitive data.

The Best Software Development Company in Vadodara prioritizes cybersecurity, providing businesses with robust, secure software solutions that inspire trust among users.

6. Blockchain Beyond Cryptocurrencies:

Blockchain technology is expanding beyond cryptocurrencies into areas like supply chain management, identity verification, and smart contracts. In 2025, blockchain will play a pivotal role in creating transparent, tamper-proof systems.

Partnering with the Best Software Development Company in India enables businesses to harness blockchain technology for innovative applications that drive efficiency and trust.

7. Progressive Web Apps (PWAs):

Progressive Web Apps (PWAs) combine the best features of web and mobile applications, offering seamless experiences across devices. PWAs are cost-effective and provide offline capabilities, making them ideal for businesses targeting diverse audiences.

The Best Software Development Company in Gujarat can develop PWAs tailored to your business needs, ensuring enhanced user engagement and accessibility.

8. Internet of Things (IoT) Expansion:

IoT continues to transform industries by connecting devices and enabling smarter decision-making. From smart homes to industrial IoT, the possibilities are endless. In 2025, IoT solutions will become more sophisticated, integrating AI and edge computing for enhanced functionality.

For businesses in Vadodara and beyond, collaborating with the Best Software Development Company in Vadodara ensures access to innovative IoT solutions that drive growth and efficiency.

9. DevSecOps:

DevSecOps integrates security into the DevOps pipeline, ensuring that security is a shared responsibility throughout the development lifecycle. This approach reduces vulnerabilities and ensures compliance with industry standards.

The Best Software Development Company in India can help implement DevSecOps practices, ensuring that your applications are secure, scalable, and compliant.

10. Sustainability in Software Development:

Sustainability is becoming a priority in software development. Green coding practices, energy-efficient algorithms, and sustainable cloud solutions are gaining traction. By adopting these practices, businesses can reduce their carbon footprint and appeal to environmentally conscious consumers.

Working with the Best Software Development Company in Gujarat ensures access to sustainable software solutions that align with global trends.

11. 5G-Driven Applications:

The rollout of 5G networks is unlocking new possibilities for software development. Ultra-fast connectivity and low latency are enabling applications like augmented reality (AR), virtual reality (VR), and autonomous vehicles.

The Best Software Development Company in Vadodara is at the forefront of leveraging 5G technology to create innovative applications that redefine user experiences.

12. Hyperautomation:

Hyperautomation combines AI, ML, and robotic process automation (RPA) to automate complex business processes. By 2025, hyperautomation will become a key driver of efficiency and cost savings across industries.

Partnering with the Best Software Development Company in India ensures access to hyperautomation solutions that streamline operations and boost productivity.

13. Augmented Reality (AR) and Virtual Reality (VR):

AR and VR technologies are transforming industries like gaming, education, and healthcare. In 2025, these technologies will become more accessible, offering immersive experiences that enhance learning, entertainment, and training.

The Best Software Development Company in Gujarat can help businesses integrate AR and VR into their applications, creating unique and engaging user experiences.

Conclusion:

The software development industry is poised for significant transformation in 2025, driven by trends like AI, cloud-native development, edge computing, and hyperautomation. Staying ahead of these trends requires expertise, innovation, and a commitment to excellence.

For businesses in Vadodara, Gujarat, or anywhere in India, partnering with the Best Software Development Company in Vadodara, Gujarat, or India ensures access to cutting-edge solutions that drive growth and success. By embracing these trends, businesses can unlock new opportunities and remain competitive in an ever-evolving digital landscape.

[cryptonbotsai]

Introduction

In today's rapidly evolving cryptocurrency market, CryptoBotsAI is actively developing a robust foundational framework. This framework has been meticulously designed to cater to the multifaceted requirements of participants within the cryptocurrency ecosystem.

At present, the cryptocurrency landscape is characterized by a proliferation of fragmented solutions, each tailored to address specific niche needs. These solutions often focus on singular aspects of cryptocurrency trading, investment, or management. While this diversity can be beneficial, it also poses challenges for investors and industry professionals.

CryptoBotsAI recognizes a significant gap within the cryptocurrency industry—a need for a cohesive and all-encompassing framework. This framework aims to consolidate various functionalities, tools, and resources under one roof. By doing so, it streamlines the often complex and disjointed processes that investors and stakeholders face in the cryptocurrency space.

Overview

We are developing an all-encompassing platform fueled by AI and ML, dedicated to serving crypto investors and users alike. Our platform will feature a no-code interface for creating and managing smart contracts, along with thorough auditing capabilities.

Additionally, various bots will be available to facilitate trading strategies. With these comprehensive tools and insights, we aim to simplify token creation and enhance trading approaches, offering a one-stop solution for all crypto-related requirements.

Our Website: https://www.cryptobotsai.com

Twitter: https://twitter.com/CBAIOfficial

Telegram: https://t.me/CryptobotsaiOfficial

Facebook: https://www.facebook.com/profile.php?id=61553213845457

Instagram: https://www.instagram.com/cryptobots_ai/

[giantimpex]

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[talentfolder]

The Future of Jobs in IT: Which Skills You Should Learn.

With changes in the industries due to technological changes, the demand for IT professionals will be in a constant evolution mode. New technologies such as automation, artificial intelligence, and cloud computing are increasingly being integrated into core business operations, which will soon make jobs in IT not just about coding but about mastering new technologies and developing versatile skills. Here, we cover what is waiting to take over the IT landscape and how you can prepare for this future.

1. Artificial Intelligence (AI) and Machine Learning (ML):

AI and ML are the things that are currently revolutionizing industries by making machines learn from data, automate processes, and predict outcomes. Thus, jobs for the future will be very much centered around these fields of AI and ML, and the professionals can expect to get work as AI engineers, data scientists, and automation specialists.

2. Cloud Computing:

With all operations now moving online, architects, developers, and security experts are in high demand for cloud work. It is very important to have skills on platforms such as AWS, Microsoft Azure, and Google Cloud for those who wish to work on cloud infrastructure and services.

3. Cybersecurity:

As dependence on digital mediums continues to increase, so must cybersecurity measures. Cybersecurity, ethical hacking, and network security would be skills everyone must use to protect data and systems from all the continuous threats.

4. Data Science and Analytics:

As they say, the new oil in this era is data. Therefore, organisations require professionals who would be able to analyze humongous datasets and infer actionable insights. Data science, data engineering, as well as advanced analytics tools, will be your cornucopia for thriving industries in the near future.

5. DevOps and Automation:

DevOps engineers are the ones who ensure that continuous integration and deployment work as smoothly and automatically as possible. Your knowledge of the business/operations will orient you well on that terrain, depending on how that applies to your needs.

Conclusion

IT job prospects rely heavily on AI, cloud computing, cybersecurity, and automation. It means that IT professionals must constantly innovate and update their skills to stay in competition. Whether an expert with years of experience or a newcomer, focusing on the following in-demand skills will gather success in this diverse land of IT evolution.

You might also like: How to crack interview in MNC IT

[nextbrainai]

Discover the incredible potential of AI and machine learning without any coding skills required. NextBrain offers a user-friendly platform for no code machine learning. Start unleashing the power of AI today!

[govindhtech]

Intel VTune Profiler For Data Parallel Python Applications

Intel VTune Profiler tutorial

This brief tutorial will show you how to use Intel VTune Profiler to profile the performance of a Python application using the NumPy and Numba example applications.

Analysing Performance in Applications and Systems

For HPC, cloud, IoT, media, storage, and other applications, Intel VTune Profiler optimises system performance, application performance, and system configuration.

Optimise the performance of the entire application not just the accelerated part using the CPU, GPU, and FPGA.

Profile SYCL, C, C++, C#, Fortran, OpenCL code, Python, Google Go, Java,.NET, Assembly, or any combination of languages can be multilingual.

Application or System: Obtain detailed results mapped to source code or coarse-grained system data for a longer time period.

Power: Maximise efficiency without resorting to thermal or power-related throttling.

VTune platform profiler

It has following Features.

Optimisation of Algorithms

Find your code’s “hot spots,” or the sections that take the longest.

Use Flame Graph to see hot code routes and the amount of time spent in each function and with its callees.

Bottlenecks in Microarchitecture and Memory

Use microarchitecture exploration analysis to pinpoint the major hardware problems affecting your application’s performance.

Identify memory-access-related concerns, such as cache misses and difficulty with high bandwidth.

Inductors and XPUs

Improve data transfers and GPU offload schema for SYCL, OpenCL, Microsoft DirectX, or OpenMP offload code. Determine which GPU kernels take the longest to optimise further.

Examine GPU-bound programs for inefficient kernel algorithms or microarchitectural restrictions that may be causing performance problems.

Examine FPGA utilisation and the interactions between CPU and FPGA.

Technical summary: Determine the most time-consuming operations that are executing on the neural processing unit (NPU) and learn how much data is exchanged between the NPU and DDR memory.

In parallelism

Check the threading efficiency of the code. Determine which threading problems are affecting performance.

Examine compute-intensive or throughput HPC programs to determine how well they utilise memory, vectorisation, and the CPU.

Interface and Platform

Find the points in I/O-intensive applications where performance is stalled. Examine the hardware’s ability to handle I/O traffic produced by integrated accelerators or external PCIe devices.

Use System Overview to get a detailed overview of short-term workloads.

Multiple Nodes

Describe the performance characteristics of workloads involving OpenMP and large-scale message passing interfaces (MPI).

Determine any scalability problems and receive suggestions for a thorough investigation.

Intel VTune Profiler

To improve Python performance while using Intel systems, install and utilise the Intel Distribution for Python and Data Parallel Extensions for Python with your applications.

Configure your Python-using VTune Profiler setup.

To find performance issues and areas for improvement, profile three distinct Python application implementations. The pairwise distance calculation algorithm commonly used in machine learning and data analytics will be demonstrated in this article using the NumPy example.

The following packages are used by the three distinct implementations.

Numpy Optimised for Intel

NumPy’s Data Parallel Extension

Extensions for Numba on GPU with Data Parallelism

Python’s NumPy and Data Parallel Extension

By providing optimised heterogeneous computing, Intel Distribution for Python and Intel Data Parallel Extension for Python offer a fantastic and straightforward approach to develop high-performance machine learning (ML) and scientific applications.

Added to the Python Intel Distribution is:

Scalability on PCs, powerful servers, and laptops utilising every CPU core available.

Assistance with the most recent Intel CPU instruction sets.

Accelerating core numerical and machine learning packages with libraries such as the Intel oneAPI Math Kernel Library (oneMKL) and Intel oneAPI Data Analytics Library (oneDAL) allows for near-native performance.

Tools for optimising Python code into instructions with more productivity.

Important Python bindings to help your Python project integrate Intel native tools more easily.

Three core packages make up the Data Parallel Extensions for Python:

The NumPy Data Parallel Extensions (dpnp)

Data Parallel Extensions for Numba, aka numba_dpex

Tensor data structure support, device selection, data allocation on devices, and user-defined data parallel extensions for Python are all provided by the dpctl (Data Parallel Control library).

It is best to obtain insights with comprehensive source code level analysis into compute and memory bottlenecks in order to promptly identify and resolve unanticipated performance difficulties in Machine Learning (ML),  Artificial Intelligence ( AI), and other scientific workloads. This may be done with Python-based ML and AI programs as well as C/C++ code using Intel VTune Profiler. The methods for profiling these kinds of Python apps are the main topic of this paper.

Using highly optimised Intel Optimised Numpy and Data Parallel Extension for Python libraries, developers can replace the source lines causing performance loss with the help of Intel VTune Profiler, a sophisticated tool.

Setting up and Installing

1. Install Intel Distribution for Python

2. Create a Python Virtual Environment

   python -m venv pyenv

   pyenv\Scripts\activate

3. Install Python packages

   pip install numpy

   pip install dpnp

   pip install numba

   pip install numba-dpex

   pip install pyitt

Make Use of Reference Configuration

The hardware and software components used for the reference example code we use are:

Software Components:

dpnp 0.14.0+189.gfcddad2474

mkl-fft 1.3.8

mkl-random 1.2.4

mkl-service 2.4.0

mkl-umath 0.1.1

numba 0.59.0

numba-dpex 0.21.4

numpy 1.26.4

pyitt 1.1.0

Operating System:

Linux, Ubuntu 22.04.3 LTS

CPU:

Intel Xeon Platinum 8480+

GPU:

Intel Data Center GPU Max 1550

The Example Application for NumPy

Intel will demonstrate how to use Intel VTune Profiler and its Intel Instrumentation and Tracing Technology (ITT) API to optimise a NumPy application step-by-step. The pairwise distance application, a well-liked approach in fields including biology, high performance computing (HPC), machine learning, and geographic data analytics, will be used in this article.

Summary

The three stages of optimisation that we will discuss in this post are summarised as follows:

Step 1: Examining the Intel Optimised Numpy Pairwise Distance Implementation: Here, we’ll attempt to comprehend the obstacles affecting the NumPy implementation’s performance.

Step 2: Profiling Data Parallel Extension for Pairwise Distance NumPy Implementation: We intend to examine the implementation and see whether there is a performance disparity.

Step 3: Profiling Data Parallel Extension for Pairwise Distance Implementation on Numba GPU: Analysing the numba-dpex implementation’s GPU performance

Boost Your Python NumPy Application

Intel has shown how to quickly discover compute and memory bottlenecks in a Python application using Intel VTune Profiler.

Intel VTune Profiler aids in identifying bottlenecks’ root causes and strategies for enhancing application performance.

It can assist in mapping the main bottleneck jobs to the source code/assembly level and displaying the related CPU/GPU time.

Even more comprehensive, developer-friendly profiling results can be obtained by using the Instrumentation and Tracing API (ITT APIs).

Read more on govindhtech.com

[softwaredevelopmentindia-one]

Empowering Digital Innovation: Microlent Systems' Comprehensive Web Development Services

Microlent Systems

In an era dominated by digital transformation, businesses are relentlessly pursuing innovation to stay ahead in their respective markets. Amid this digital race, Microlent Systems emerges as a beacon of technological advancement and a pioneer in web development services. With a robust portfolio that spans web application development, TV application development, wearable technology solutions, enterprise solution development, AI/ML-based solutions, and IoT/hardware integrated solutions, Microlent stands at the forefront of enabling businesses to unlock their full potential in the digital landscape.

Web Application Development: A Cornerstone for Digital Success At the heart of Microlent's services lies its web application development expertise. In understanding the critical role that web applications play in today's business ecosystems, Microlent delivers bespoke solutions that are not just about coding and deployment but about creating a digital experience that resonates with end-users. From e-commerce sites that handle millions of transactions to SaaS platforms that automate business processes, Microlent's approach is to build scalable, secure, and dynamic web applications that drive user engagement and business growth.

Revolutionizing Television with TV Application Development The television industry is undergoing a transformation, with digital platforms and OTT services changing the way content is consumed. Microlent's TV application development service is tailored to meet this new wave of demand. By focusing on user experience, Microlent helps content providers, telecoms, and OTT platforms deliver applications that are intuitive, engaging, and accessible across devices, ensuring content reaches viewers worldwide in the most effective manner possible.

Pioneering in Wearable Technology with Android and Apple Watch Application Development As wearable technologies become an integral part of our daily lives, Microlent is at the helm of developing innovative applications for Android and Apple Watch devices. These applications are not just about extending smartphone functionalities to one's wrist but are designed with a focus on health, fitness, productivity, and lifestyle, ensuring users have a seamless and enriched wearable experience.

Enterprise Solution Development: Catalyzing Business Transformation Microlent recognizes the challenges businesses face in adapting to rapidly changing market conditions. Its enterprise solution development services are focused on building robust, cutting-edge solutions that enable businesses to streamline operations, enhance efficiency, and maintain competitive advantage. Whether it's through CRM systems, ERP solutions, or custom software tailored to specific business needs, Microlent's solutions are a catalyst for digital transformation.

Leading the Way in AI/ML-Based Solutions In the realm of artificial intelligence and machine learning, Microlent is a trailblazer, providing cutting-edge solutions that drive innovation across industries. From predictive analytics and natural language processing to computer vision and intelligent automation, Microlent leverages the latest in AI and ML technologies to help businesses unlock new opportunities, enhance decision-making, and create value in ways never before possible.

Bridging the Physical and Digital with IoT/Hardware Integrated Solutions Microlent's expertise extends into the burgeoning field of IoT and hardware-integrated solutions, where the physical and digital worlds converge. By enabling smart interactions between devices, systems, and services, Microlent's solutions facilitate enhanced data collection, real-time monitoring, and automated control, driving efficiency, sustainability, and innovation across sectors.

Conclusion In the constantly evolving digital landscape, Microlent Systems stands out as a partner of choice for businesses looking to harness the power of technology for growth, innovation, and digital transformation. With a commitment to excellence, a passion for innovation, and a comprehensive suite of web development services, Microlent is dedicated to empowering businesses to achieve their digital aspirations.

[quantuminnovationit]

Future Trends in Ruby on Rails Web Development

In the ever-evolving landscape of web development, Ruby on Rails (RoR) continues to be a popular and powerful framework for building robust, scalable, and efficient web applications. As technology advances and market demands evolve, the future of Ruby on Rails web development holds exciting possibilities and trends that promise to shape the way developers approach projects. In this article, we delve into the emerging trends and innovations in ruby on rails development company, highlighting the role of leading ruby on rails development companies, particularly those in the USA, in driving innovation and pushing the boundaries of what is possible in web development.

Embracing Modern JavaScript Frameworks:

As JavaScript frameworks like React, Vue.js, and AngularJS gain prominence in the web development landscape, Ruby on Rails developers are increasingly integrating these technologies into their projects. By leveraging the strengths of both Ruby on Rails and modern JavaScript frameworks, developers can create dynamic and interactive user interfaces that enhance the overall user experience. Ruby on Rails development companies in the USA are at the forefront of this trend, leveraging their expertise to seamlessly integrate JavaScript frameworks into RoR applications and deliver cutting-edge solutions to clients.

Microservices Architecture and Scalability:

With the growing complexity of web applications and the need for scalability and flexibility, the adoption of microservices architecture is becoming increasingly prevalent in Ruby on Rails web development. By breaking down monolithic applications into smaller, independent services, developers can achieve greater scalability, fault isolation, and agility. Leading ruby on rails web development companies in the USA are embracing microservices architecture to build scalable and resilient applications that can easily adapt to changing business requirements and user demands.

Progressive Web Applications (PWAs):

Progressive Web Applications (PWAs) represent a significant trend in web development, offering the benefits of both web and mobile applications. By leveraging modern web technologies, including service workers, web app manifests, and responsive design principles, developers can create PWAs that deliver a fast, reliable, and engaging user experience across devices and platforms. Ruby on Rails development companies in the USA are leveraging the flexibility and power of RoR to build PWAs that combine the best features of native mobile apps with the reach and accessibility of the web.

AI-Powered Applications and Chatbots:

Artificial intelligence (AI) and machine learning (ML) technologies are increasingly being integrated into web applications to enhance functionality and user experience. In Ruby on Rails web development, AI-powered applications and chatbots are becoming more prevalent, providing personalized recommendations, automated customer support, and intelligent decision-making capabilities. ruby on rails development company usa  are leveraging AI and ML technologies to build sophisticated and intelligent web applications that anticipate user needs and deliver tailored experiences.

Serverless Architecture and Function as a Service (FaaS):

Serverless architecture is revolutionizing the way web applications are built and deployed, offering greater scalability, cost-efficiency, and flexibility. With the rise of Function as a Service (FaaS) platforms like AWS Lambda and Google Cloud Functions, developers can focus on writing code without worrying about managing servers or infrastructure. Leading ruby on rails development companies in the USA are embracing serverless architecture to build lightweight, event-driven applications that can scale seamlessly in response to fluctuating workloads and user demand.

Augmented Reality (AR) and Virtual Reality (VR) Experiences:

The integration of augmented reality (AR) and virtual reality (VR) technologies into web applications is opening up new possibilities for immersive and interactive user experiences. In Ruby on Rails web development, developers are exploring ways to incorporate AR and VR features into e-commerce platforms, educational portals, and entertainment websites. Ruby on Rails web development companies in the USA are at the forefront of this trend, leveraging RoR's flexibility and versatility to build immersive AR and VR experiences that push the boundaries of traditional web development.

Conclusion:

As technology continues to evolve and market demands shift, the future of Ruby on Rails web development holds immense potential for innovation and growth. By embracing emerging trends such as modern JavaScript frameworks, microservices architecture, progressive web applications, AI-powered applications, serverless architecture, and AR/VR experiences, ruby on rails web development company usa are poised to lead the way in shaping the next generation of web applications. With their expertise, creativity, and commitment to excellence, these companies are driving innovation and pushing the boundaries of what is possible in Ruby on Rails web development.

[gradsireninc]

How To Get An Online Internship In the IT Sector (Skills And Tips)

Internships provide invaluable opportunities to gain practical skills, build professional networks, and get your foot in the door with top tech companies.

With remote tech internships exploding in IT, online internships are now more accessible than ever. Whether a college student or career changer seeking hands-on IT experience, virtual internships allow you to work from anywhere.

However, competition can be fierce, and simply applying is often insufficient. Follow this comprehensive guide to develop the right technical abilities.

After reading this, you can effectively showcase your potential, and maximize your chances of securing a remote tech internship.

Understand In-Demand IT Skills

The first step is gaining a solid grasp of the most in-demand technical and soft skills. While specific requirements vary by company and role, these competencies form a strong foundation:

Technical Skills:

Proficiency in programming languages like Python, JavaScript, Java, and C++

Experience with front-end frameworks like React, Angular, and Vue.js

Back-end development skills - APIs, microservices, SQL databases Cloud platforms such as AWS, Azure, Google Cloud

IT infrastructure skills - servers, networks, security

Data science abilities like SQL, R, Python

Web development and design

Mobile app development - Android, iOS, hybrid

Soft Skills:

Communication and collaboration

Analytical thinking and problem-solving

Leadership and teamwork

Creativity and innovation

Fast learning ability

Detail and deadline-oriented

Flexibility and adaptability

Obtain Relevant Credentials

While hands-on skills hold more weight, relevant academic credentials and professional IT certifications can strengthen your profile. Consider pursuing:

Bachelor’s degree in Computer Science, IT, or related engineering fields

Internship-specific courses teaching technical and soft skills

Certificates like CompTIA, AWS, Cisco, Microsoft, Google, etc.

Accredited boot camp programs focusing on applied skills

MOOCs to build expertise in trending technologies like AI/ML, cybersecurity

Open source contributions on GitHub to demonstrate coding skills

The right credentials display a work ethic and supplement practical abilities gained through projects.

Build An Impressive Project Portfolio

Nothing showcases skills better than real-world examples of your work. Develop a portfolio of strong coding, design, and analytical projects related to your target internship field.

Mobile apps - publish on app stores or use GitHub project pages

Websites - deploy online via hosting services

Data science - showcase Jupyter notebooks, visualizations

Open source code - contribute to public projects on GitHub

Technical writing - blog posts explaining key concepts

Automation and scripts - record demo videos

Choose projects demonstrating both breadth and depth. Align them to skills required for your desired internship roles.

Master Technical Interview Skills

IT internship interviews often include challenging technical questions and assessments. Be prepared to:

Explain your code and projects clearly. Review them beforehand.

Discuss concepts related to key technologies on your resume. Ramp up on fundamentals.

Solve coding challenges focused on algorithms, data structures, etc. Practice online judges like LeetCode.

Address system design and analytical problems. Read case interview guides.

Show communication and collaboration skills through pair programming tests.

Ask smart, well-researched questions about the company’s tech stack, projects, etc.

Schedule dedicated time for technical interview practice daily. Learn to think aloud while coding and get feedback from peers.

Show Passion and Curiosity

Beyond raw skills, demonstrating genuine passion and curiosity for technology goes a long way.

Take online courses and certifications beyond the college curriculum

Build side projects and engage in hackathons for self-learning

Stay updated on industry news, trends, and innovations

Be active on forums like StackOverflow to exchange knowledge

Attend tech events and conferences

Participate in groups like coding clubs and prior internship programs

Follow tech leaders on social mediaListen to tech podcasts while commuting

Show interest in the company’s mission, products, and culture

This passion shines through in interviews and applications, distinguishing you from other candidates.

Promote Your Personal Brand

In the digital age, your online presence and personal brand are make-or-break. Craft a strong brand image across:

LinkedIn profile - showcase achievements, skills, recommendations

GitHub - displays coding activity and quality through clean repositories

Portfolio website - highlight projects and share valuable content

Social media - post career updates and useful insights, but avoid oversharing

Blogs/videos - demonstrate communication abilities and thought leadership

Online communities - actively engage and build relationships

Ensure your profiles are professional and consistent. Let your technical abilities and potential speak for themselves.

Optimize Your Internship Applications

Applying isn’t enough. You must optimize your internship applications to get a reply:

Ensure you apply to openings that strongly match your profile Customize your resume and cover letters using keywords in the job description

Speak to skills gained from coursework, online learning, and personal projects

Quantify achievements rather than just listing responsibilities

Emphasize passion for technology and fast learning abilities

Ask insightful questions that show business understanding

Follow up respectfully if you don’t hear back in 1-2 weeks

Show interest in full-time conversion early and often

Apply early since competitive openings close quickly

Leverage referrals from your network if possible

This is how you do apply meaningfully. If you want a good internship, focus on the quality of applications. The hard work will pay off.

Succeed in Your Remote Internship

The hard work pays off when you secure that long-awaited internship! Continue standing out through the actual internship by:

Over Communicating in remote settings - proactively collaborate

Asking smart questions and owning your learning

Finding mentors and building connections remotely

Absorbing constructive criticism with maturity

Shipping quality work on or before deadlines

Clarifying expectations frequently

Going above and beyond prescribed responsibilities sometimes

Getting regular feedback and asking for more work

Leaving with letters of recommendation and job referrals

When you follow these tips, you are sure to succeed in your remote internship. Remember, soft skills can get you long ahead in the company, sometimes core skills can’t.

Conclusion

With careful preparation, tenacity, and a passion for technology, you will be able to get internships jobs in USA that suit your needs in the thriving IT sector.

Use this guide to build the right skills, create an impressive personal brand, ace the applications, and excel in your internship.

Additionally, you can browse some good job portals. For instance, GrandSiren can help you get remote tech internships. The portal has the best internship jobs in India and USA you’ll find. The investment will pay dividends throughout your career in this digital age. Wishing you the best of luck! Let me know in the comments about your internship hunt journey.

[gradsiren]

How To Get An Online Internship In the IT Sector (Skills And Tips)

Internships provide invaluable opportunities to gain practical skills, build professional networks, and get your foot in the door with top tech companies.

With remote tech internships exploding in IT, online internships are now more accessible than ever. Whether a college student or career changer seeking hands-on IT experience, virtual internships allow you to work from anywhere.

However, competition can be fierce, and simply applying is often insufficient. Follow this comprehensive guide to develop the right technical abilities.

After reading this, you can effectively showcase your potential, and maximize your chances of securing a remote tech internship.

Understand In-Demand IT Skills

The first step is gaining a solid grasp of the most in-demand technical and soft skills. While specific requirements vary by company and role, these competencies form a strong foundation:

Technical Skills:

>> Proficiency in programming languages like Python, JavaScript, Java, and C++ >> Experience with front-end frameworks like React, Angular, and Vue.js >> Back-end development skills - APIs, microservices, SQL databases >> Cloud platforms such as AWS, Azure, Google Cloud >> IT infrastructure skills - servers, networks, security >> Data science abilities like SQL, R, Python >> Web development and design >> Mobile app development - Android, iOS, hybrid

Soft Skills:

>> Communication and collaboration >> Analytical thinking and problem-solving >> Leadership and teamwork >> Creativity and innovation >> Fast learning ability >> Detail and deadline-oriented >> Flexibility and adaptability

Obtain Relevant Credentials

While hands-on skills hold more weight, relevant academic credentials and professional IT certifications can strengthen your profile. Consider pursuing:

>> Bachelor’s degree in Computer Science, IT, or related engineering fields. >> Internship-specific courses teaching technical and soft skills. >> Certificates like CompTIA, AWS, Cisco, Microsoft, Google, etc. >> Accredited boot camp programs focusing on applied skills. >> MOOCs to build expertise in trending technologies like AI/ML, cybersecurity. >> Open source contributions on GitHub to demonstrate coding skills.

The right credentials display a work ethic and supplement practical abilities gained through projects.

Build An Impressive Project Portfolio

Nothing showcases skills better than real-world examples of your work. Develop a portfolio of strong coding, design, and analytical projects related to your target internship field.

>> Mobile apps - publish on app stores or use GitHub project pages >> Websites - deploy online via hosting services >> Data science - showcase Jupyter notebooks, visualizations >> Open source code - contribute to public projects on GitHub >> Technical writing - blog posts explaining key concepts >> Automation and scripts - record demo videos

Choose projects demonstrating both breadth and depth. Align them to skills required for your desired internship roles.

Master Technical Interview Skills

IT internship interviews often include challenging technical questions and assessments. Be prepared to:

>> Explain your code and projects clearly. Review them beforehand. >> Discuss concepts related to key technologies on your resume. Ramp up on fundamentals. >> Solve coding challenges focused on algorithms, data structures, etc. Practice online judges like LeetCode. >> Address system design and analytical problems. Read case interview guides. >> Show communication and collaboration skills through pair programming tests. >> Ask smart, well-researched questions about the company’s tech stack, projects, etc.

Schedule dedicated time for technical interview practice daily. Learn to think aloud while coding and get feedback from peers.

Show Passion and Curiosity

Beyond raw skills, demonstrating genuine passion and curiosity for technology goes a long way.

>> Take online courses and certifications beyond the college curriculum >> Build side projects and engage in hackathons for self-learning >> Stay updated on industry news, trends, and innovations >> Be active on forums like StackOverflow to exchange knowledge >> Attend tech events and conferences >> Participate in groups like coding clubs and prior internship programs >> Follow tech leaders on social media >> Listen to tech podcasts while commuting >> Show interest in the company’s mission, products, and culture

This passion shines through in interviews and applications, distinguishing you from other candidates.

Promote Your Personal Brand

In the digital age, your online presence and personal brand are make-or-break. Craft a strong brand image across:

>> LinkedIn profile - showcase achievements, skills, recommendations >> GitHub - displays coding activity and quality through clean repositories >> Portfolio website - highlight projects and share valuable content >> Social media - post career updates and useful insights, but avoid oversharing >> Blogs/videos - demonstrate communication abilities and thought leadership >> Online communities - actively engage and build relationships

Ensure your profiles are professional and consistent. Let your technical abilities and potential speak for themselves.

Optimize Your Internship Applications

Applying isn’t enough. You must optimize your internship applications to get a reply:

>> Ensure you apply to openings that strongly match your profile >> Customize your resume and cover letters using keywords in the job description >> Speak to skills gained from coursework, online learning, and personal projects >> Quantify achievements rather than just listing responsibilities >> Emphasize passion for technology and fast learning abilities >> Ask insightful questions that show business understanding >> Follow up respectfully if you don’t hear back in 1-2 weeks >> Show interest in full-time conversion early and often >> Apply early since competitive openings close quickly >> Leverage referrals from your network if possible

This is how you do apply meaningfully. If you want a good internship, focus on the quality of applications. The hard work will pay off.

Succeed in Your Remote Internship

The hard work pays off when you secure that long-awaited internship! Continue standing out through the actual internship by:

>> Over Communicating in remote settings - proactively collaborate >> Asking smart questions and owning your learning >> Finding mentors and building connections remotely >> Absorbing constructive criticism with maturity >> Shipping quality work on or before deadlines >> Clarifying expectations frequently >> Going above and beyond prescribed responsibilities sometimes >> Getting regular feedback and asking for more work >> Leaving with letters of recommendation and job referrals

When you follow these tips, you are sure to succeed in your remote internship. Remember, soft skills can get you long ahead in the company, sometimes core skills can’t.

Conclusion

With careful preparation, tenacity, and a passion for technology, you will be able to get internships jobs in USA that suit your needs in the thriving IT sector.

Use this guide to build the right skills, create an impressive personal brand, ace the applications, and excel in your internship.

Additionally, you can browse some good job portals. For instance, GrandSiren can help you get remote tech internships. The portal has the best internship jobs in India and USA you’ll find.

The investment will pay dividends throughout your career in this digital age. Wishing you the best of luck! Let me know in the comments about your internship hunt journey.