Capabl From Elite Techno Groups

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Elite-Techno Groups provide best training program on Automobile and vehicle dynamics and on Formula one prototype, Go kart and ATV design & development for Mechanical, Automobile engineering and diploma students.

09/09/2026

Learning AI is one thing. Understanding how to actually build with it is another.

At Ahmedabad Institute of Technology, students got hands-on exposure to how LLMs work, how AI agents can be built, and how these technologies can be applied to real-world projects.

For one student, the most valuable takeaway was learning how to bridge the gap between theory and practical implementation — from using AI in daily life to integrating it into projects.

The session also offered a glimpse into where the industry is heading, helping students stay updated with the latest developments in AI.

“I can stay updated with current industry trends.”

That’s the value of practical AI education: not just learning what’s possible, but understanding how to put it into practice.

ArtificialIntelligence LLM AIForStudents

07/09/2026

What happens when complex AI concepts are made simple enough to actually use?

At Ahmedabad Institute of Technology, students explored Agentic AI and how AI agents can automate everyday tasks.

The session focused on making a complex topic practical — with simple explanations, real-life examples, and a clear look at how AI agents actually work.

For the students, it wasn’t just another AI session.

It was an opportunity to understand a rapidly evolving technology and see how agentic systems can move AI from answering questions to getting things done.

“I really learned something new about how AI agents work and how they automate daily tasks.”

ArtificialIntelligence AIForStudents

04/09/2026

Two days. From learning about AI agents to actually building them.

At Ajeenkya DY Patil School of Engineering, Lohegaon, students went hands-on with Agentic AI — exploring how RAG models, toolkits, and LLMs can work together to create systems capable of handling multiple tasks.

One student built a Resume Digital Twin that could interact with users as a chatbot on their behalf.

Another built an agent capable of retrieving current marketing data.

And the biggest takeaway?

“I learned mostly things which are not actually gotten in two months.”

That’s what happens when AI education moves beyond theory and into building.

ArtificialIntelligence RAG AIForStudents

02/09/2026

AI education shouldn’t end with understanding. It should lead to experimentation.

During the 3-day Agentic AI workshop at Bangalore University, Smt. Khushboo Chowdhary, Ministry of Higher Education, Government of Karnataka, highlighted what makes the program different: it is outcome-oriented, hands-on, and designed to culminate in a competitive hackathon.

The goal isn’t simply to learn AI.

It is to build capability, confidence, and innovation capacity — and to use those three days to experiment boldly.

She also emphasised an equally important role for faculty: continuously upgrading themselves alongside their students so institutions remain dynamic, adaptive, and relevant.

From foundational AI concepts to hands-on application, the program is designed to make experiential learning the centre of education.

Because the future of education isn’t just about knowing more.

It’s about being able to do more.

HigherEducation AIForEducation ExperientialLearning

31/08/2026

AI doesn’t replace human creativity. It gives us more room to use it.

During the 3-day Agentic AI program, Dr. M.C. Sudhakar, Ministry of Higher Education, Government of Karnataka, reflected on how technology has always changed the way we work.

From the arrival of computers to artificial intelligence, the pattern remains the same.

Technology makes things faster. But more importantly, it gives people the ability to turn ideas into reality in ways that weren’t possible before.

His recommendation was clear: universities should start adapting to this model and make programs like these an annual affair.

Three days of learning. A new level of confidence. And a larger question for higher education: how quickly should we be preparing for what’s next?

Karnataka AIForEducation FutureOfAI

27/08/2026

What if you could build an AI agent to solve your own problems?

That’s exactly what this student discovered at the Agentic AI workshop conducted by Capabl India at Global Institute of Technology.

From building AI agents that can perform tasks automatically to understanding RAG (Retrieval-Augmented Generation), the workshop took AI from something to simply use to something students can actually build with.

And the biggest takeaway?

“If I plan on solving any personal issue, trying to make my tasks easier, I can now just build an AI agent for that.”

That shift — from using AI to building systems with AI — is what practical AI education should look like.

ArtificialIntelligence RAG AIForStudents

Most students don’t ask what AI can generate anymore.They ask what it can actually do. 🤖At G. Pullaiah College of Engine...
26/08/2026

Most students don’t ask what AI can generate anymore.

They ask what it can actually do. 🤖

At G. Pullaiah College of Engineering & Technology, Kurnool, students explored that shift through our AI Saksham workshop on Agentic AI.

From prompts and chatbots to AI systems that can reason, use tools and complete tasks.

The interest is already there.

Now it’s about turning that curiosity into the capability to build.

A big thank you to the GPCET leadership and Dr. C. Ranjeeth Kumar for making the session possible.

AIForStudents EngineeringEducation

25/08/2026

Knowing AI tools is one thing. Building with them is another.

Before the Agentic AI FDP at MIT Academy of Engineering, faculty were familiar with tools like ChatGPT and Gemini — but had never actually designed or developed an AI agent.

For faculty from core departments, the idea of building an AI agent from scratch could feel even more unfamiliar.

The workshop changed that.

From understanding different agents and APIs to workflow management and actually building an AI agent, the entire journey moved from **design → development → ex*****on.**

And perhaps the most important outcome wasn’t just learning a new technology.

It was confidence.

> “Building an AI agent through this workshop has given me a lot of confidence.”

That’s what hands-on AI education should do — not just introduce another tool, but help people realise they can actually build with it.

Our thanks to MIT Academy of Engineering and the faculty for being part of the journey.

MITAOE ArtificialIntelligence AIForEducation

24/08/2026

How do you make a huge AI model smaller without making it stupid? 👀

The answer is knowledge distillation.

Instead of training a smaller model from scratch, a powerful “teacher” model teaches a smaller “student” model what it knows.

The student learns to mimic the teacher’s outputs and reasoning patterns, while using far less compute and memory.

Smaller model.
Lower cost.
Faster inference.
Surprisingly strong performance.

This is one of the techniques helping make powerful AI more practical and accessible.

The future of AI isn’t just about building bigger models.

Sometimes, it’s about making them smarter and smaller. 🤖

GenAI AIExplained DeepLearning Tech CapablIndia

21/08/2026

ChatGPT is getting a little spicy. 🌶️

OpenAI is reportedly working on its own AI chip with Broadcom, and the project has a rather unexpected codename: Jalapeño.

Why does that matter?

Because the future of AI isn’t just about building smarter models.

It’s also about building the hardware that powers them.

Today, AI companies depend heavily on a small number of chipmakers. Building custom silicon could give OpenAI more control over cost, performance, and how its AI systems scale.

From ChatGPT to custom chips, the AI race is moving deeper into the hardware layer.

And Jalapeño might just be the beginning. 🌶️

Comment “CHIP” if you want to know why AI companies are suddenly designing their own processors.

Tech Technology Semiconductors CapablIndia FutureOfAI

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