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Upcoming Program

GenerativeAI with Claude

By Kiran Kumar

Understand how Large Language Models power Generative AI, popular AI tools, and the next generation of Agentic AI systems.

LLMsGenerative AIRAGAgentic AI

About the Program

Generative AI is being powered by Large Language Models, and understanding them is now a core skill across every tech role. This program demystifies how LLMs work, how the leading models compare, and how techniques like prompt engineering, fine-tuning and RAG turn raw models into useful systems.

You will finish with a clear mental model of the Generative AI landscape and a practical understanding of where Agentic AI is taking it next.

Curriculum

1

Introduction to LLMs

  • What Large Language Models are and why they matter
  • The role of LLMs in Generative AI today
  • Overview of the modern AI tool landscape
2

How LLMs Work

  • Neural networks and the transformer architecture
  • Training, pre-training and alignment
  • Strengths, limitations and failure modes
3

GPT, Gemini, Claude, LLaMA & Mistral

  • Comparing the leading commercial and open models
  • Where each model family shines
  • Choosing the right model for a task
4

Tokens & Context Windows

  • How text becomes tokens
  • Understanding context windows and their limits
  • Cost and performance implications
5

Prompt Engineering

  • Designing effective prompts and instructions
  • Few-shot, chain-of-thought and structured output techniques
  • Iterating and evaluating prompt quality
6

Fine-Tuning

  • When to fine-tune vs prompt
  • Adapting models to your domain
  • Practical considerations and trade-offs
7

RAG

  • Retrieval-Augmented Generation fundamentals
  • Embeddings, vector search and grounding
  • Building reliable, source-backed answers
8

LLMs & Agentic AI

  • From single prompts to agentic systems
  • Tools, planning and multi-step reasoning
  • Real-world Agentic AI patterns and use cases

What You'll Learn

  • Explain how Large Language Models power Generative AI
  • Compare and choose between GPT, Gemini, Claude, LLaMA and Mistral
  • Write effective prompts with tokens and context windows in mind
  • Understand when fine-tuning and RAG are the right tools
  • Recognize how LLMs enable the next generation of Agentic AI systems

Who Should Attend

  • Professionals wanting a solid grasp of modern Generative AI
  • Engineers and testers exploring AI-powered tooling
  • Product and business leaders evaluating LLM use cases
  • Anyone starting their journey into Agentic AI

Course Format

Live, Hands-On Sessions

Instructor-led sessions with live demonstrations of concepts, tools and techniques you can apply right away.

Schedule

Dates and timings are being finalized. They will be announced here and to registered participants as soon as they are confirmed.

Registrations Open Soon

Dates, timings and pricing will be announced shortly. Register your interest now and be the first to know when enrollment begins.

FAQ

Do I need an AI or coding background?

No. The program starts with the fundamentals of LLMs and builds up step by step, with concepts explained in plain language.

Will we use real AI tools in the sessions?

Yes. The sessions cover popular AI tools and show how the concepts apply across them, with practical demonstrations.

When do the sessions start?

Dates and timings have not been finalized yet. Register your interest and we will share the schedule as soon as it is confirmed.

What will the pricing or membership options be?

Registration and pricing information will be announced when the program schedule is finalized.