Generative AI & Large Language Models
LLMs → Generative AI → RAG → Agentic AI
Understand how Large Language Models power Generative AI, popular AI tools, and the next generation of Agentic AI systems.
By Kiran
About the Program
This program takes you from the fundamentals of Large Language Models to the cutting edge of Generative AI. You will learn how LLMs work under the hood, get hands-on with the leading models, and build the practical skills that modern AI roles demand.
The journey finishes with Retrieval-Augmented Generation and Agentic AI — the patterns behind the next generation of intelligent systems — so you leave with both understanding and hands-on capability.
At a Glance
- Instructor: Kiran
- Hands-on with leading AI models
- Schedule: coming soon
- Pricing: announced with the schedule
Complete Curriculum
MODULE 1
Introduction to LLMs
What Large Language Models are, why they changed AI, and where they fit in the modern AI stack.
MODULE 2
How LLMs Work
A clear, intuitive look at the machinery behind LLMs: training, predictions and generation.
MODULE 3
The LLM Landscape
A guided tour of the leading models — GPT, Gemini, Claude, LLaMA and Mistral — and what makes each unique.
MODULE 4
Tokens & Context Windows
Understand tokens, context limits and how they shape what you can build with a model.
MODULE 5
Prompt Engineering
Practical techniques for getting reliable, high-quality output from LLMs in real applications.
MODULE 6
Fine-Tuning
When and how to adapt a model to your domain, data and use case.
MODULE 7
RAG (Retrieval-Augmented Generation)
Ground LLM responses in your own data with retrieval pipelines that actually work.
MODULE 8
LLMs & Agentic AI
From single prompts to the next generation of Agentic AI systems that plan, act and use tools.
What You Will Learn
- Explain how LLMs and Generative AI actually work
- Choose between GPT, Gemini, Claude, LLaMA and Mistral
- Apply prompt engineering for reliable real-world output
- Understand tokens, embeddings and context windows
- Build RAG pipelines grounded in your own data
- Understand fine-tuning and when to use it
- Design the first steps of Agentic AI workflows
Who Should Attend
- Developers and testers moving into AI roles
- Data and QA professionals adding Gen AI skills
- Product and tech leads evaluating AI capabilities
- Anyone who wants a solid, practical foundation in LLMs
FAQ
Do I need an AI or math background?
No. Concepts are explained intuitively with practical examples. A general comfort with technology is enough to follow along.
Which tools and models will we work with?
The program covers the leading models — GPT, Gemini, Claude, LLaMA and Mistral — plus hands-on practice with prompt engineering and RAG patterns.
Is the program hands-on?
Yes. Every module pairs concepts with practical exercises, and the program builds toward real Agentic AI workflows.
When do sessions start and what is the price?
Dates and pricing are not finalized yet. Register your interest and we will share the schedule and pricing as soon as they are confirmed.