Workshop Agenda
01
Welcome and session overview
Why understanding prompts and LLMs matters today
Key learning outcomes for the masterclass
02
What are LLMs and how they work (in simple terms)
Core concepts: tokens, embeddings, and transformers
Limitations and challenges of using LLMs
03
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05
01
Understand how Large Language Models (LLMs) work under the hood — from tokens to transformers
02
Learn the fundamentals of prompt engineering and how it shapes model behavior
03
Explore different prompting techniques like zero-shot, few-shot, and chain-of-thought
04
Get hands-on experience writing effective prompts for real-world use cases
05
Bonus: Discover how prompting powers AI agents — and how to start building one yourself
Backend & Full-Stack Engineers curious about building autonomous AI agents
AI/ML Engineers looking to sharpen their prompting skills for better model performance
Product Managers & Technical Builders experimenting with LLM-powered features
Anyone who wants to go beyond ChatGPT and understand the building blocks of GenAI systems