Introduction to Agentic AI and Machine Learning by E&ICT IIT Roorkee

A few years ago, AI could answer questions. Today, it writes software.

Tomorrow, it will conduct research, coordinate teams, negotiate contracts, analyze businesses and solve problems with minimal human intervention. We're witnessing a transition from AI that responds to AI that acts.

This new generation is called Agentic AI.

Understanding this shift isn't just important for AI engineers. It matters to software developers, analysts, product managers, researchers, entrepreneurs, and anyone whose work involves solving problems.

Because the future won't simply belong to people who know how to use AI.

It will belong to those who understand how intelligent systems are designed, orchestrated, and improved.

Every week, there's a new AI breakthrough.

A new model. A new framework. A new benchmark. A new startup. A new promise.

Keeping up with AI has become exhausting.

Many learners jump from one tutorial to another, collecting tools but never building a coherent understanding of the field.

The result?

• Lots of information.
• Very little clarity.

This masterclass is designed to slow things down.

Not by teaching less, but by helping you see the bigger picture.

Before You Learn Another AI Tool...

Ask yourself:

• Why are AI Agents becoming so important?
• Is Machine Learning still worth learning?
• Where do LLMs fit into the AI ecosystem?
• How do autonomous AI systems actually make decisions?
• What skills will still matter five years from now?
• If I started learning AI today, where should I begin?

These are the questions we'll explore together.

The Missing Map

Most people learn AI like this:

Python > Prompt Engineering > ChatGPT > LangChain > MCP > AI Agents > Another framework.

It feels like progress. But often, it's just a collection of disconnected technologies.

In this session, we'll connect the dots.

You'll understand how today's AI landscape has evolved from Machine Learning to Deep Learning, from Large Language Models to Agentic AI, and why each layer exists.

Once you understand the map, learning new tools becomes dramatically easier.

What You'll Gain

By the end of this session, you'll have:

• A clear understanding of what Agentic AI actually is, and what it isn't.
• A mental model of how Machine Learning, Deep Learning, LLMs, RAG, and AI Agents fit together.
• Insights into how modern AI systems reason, plan, and interact with tools.
• A practical roadmap for learning AI without getting overwhelmed by every new framework.
• A clearer perspective on the skills that will matter in the coming years.

More importantly, you'll know what to learn next and why.

Who Should Attend?

This session is for anyone who wants to understand where AI is headed, including:

• Curious learners looking for a structured introduction to modern AI
• Students preparing for careers in AI
• Software Engineers and Developers
• Data Scientists and Machine Learning Engineers
• Technology and Product Professionals
• Business Leaders exploring AI adoption

No prior knowledge of Machine Learning is required.

Curiosity is enough.

Continue the Journey

This masterclass also introduces the PG Certificate Program in Agentic AI & Machine Learning, jointly offered by E&ICT Academy, IIT Roorkee and CloudxLab.

The program is designed for learners who want more than surface-level familiarity with AI.

Over ten months, participants build a strong foundation in Machine Learning before progressing to Deep Learning, Generative AI, Large Language Models, Retrieval-Augmented Generation (RAG), Agentic AI, and the development of real-world AI applications.

With live instruction, hands-on labs, industry projects, and mentorship, the program emphasizes understanding, implementation, and problem-solving, not just tool usage.