Applied Generative AI

What you walk away with

• Build & deploy LLM-powered applications
• Design RAG pipelines with sub-second latency
• Architect multi-agent systems
• Portfolio with 3 shipped projects

Curriculum overview

1. M01

   Foundations of LLMs

   Tokenization, attention, scaling laws

2. M02

   Prompt Engineering

   Structured prompting, chain-of-thought, evals

3. M03

   RAG & Vector Systems

   Embeddings, retrieval, re-ranking at scale

4. M04

   Agentic Workflows

   Tool-use, planning, multi-agent coordination

5. M05

   Fine-tuning & LoRA

   Domain adaptation on open models

6. M06

   Capstone

   Ship a production AI product to real users

Tools you'll use

OpenAIAnthropicLangChainPineconeVercelPython