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Generative AI & LLM Orchestration

The frontier of AI engineering. This 5-week sprint teaches you how to orchestrate GPT-4 alongside open-source models (Llama 3), build robust Retrieval-Augmented Generation (RAG) systems, and create autonomous AI agents.

5 Weeks (Intensive)
Advanced (Requires Python)
Live Online + Async Labs
Dr. Chen Wei
Lead Instructor
Dr. Chen Wei
AI Researcher, OpenAI Alumni

Mastered Technologies

LangChainPineconeLlama 3PyTorchvLLMOpenAI

You Will Build

Capstone Project

Architect an Autonomous Legal Agent using LangGraph that reads contracts, flags liabilities against a vector database of company policies, and drafts safe counter-proposals.

The 5-Week Syllabus

An intense, week-by-week breakdown designed to push your limits.

Week 1

The GenAI Ecosystem & Prompt Engineering

Moving beyond chat interfaces to programmatic prompt design.

Core Topics

  • Few-Shot Prompting
  • Chain of Thought
  • OpenAI / Anthropic APIs

Hands-on Lab

Build an automated prompt-evaluation suite.

Week 2

Vector Embeddings & Semantic Search

The core engine of enterprise AI memory.

Core Topics

  • Embedding Models (text-embedding-3-large)
  • Vector Math
  • Pinecone/Weaviate Setup

Hands-on Lab

Implement a hybrid (BM25 + Semantic) search engine over corporate docs.

Week 3

Advanced RAG Pipelines

Fixing hallucination in Retrieval-Augmented Generation.

Core Topics

  • Chunking Strategies
  • Re-ranking (Cohere)
  • Query Routing

Hands-on Lab

Build a RAG bot that can accurately cite sources from financial PDFs.

Week 4

Autonomous Agents & Tool Use

Giving LLMs access to APIs, databases, and calculators.

Core Topics

  • ReAct Framework
  • Function Calling
  • LangGraph

Hands-on Lab

Create an autonomous research agent that scrapes the web and compiles a report without human intervention.

Week 5

Fine-Tuning Open Source Models

Adapting Llama 3 or Mistral to your specific enterprise tone and tasks.

Core Topics

  • LoRA / QLoRA
  • Hugging Face Setup
  • Serving via vLLM

Hands-on Lab

Fine-tune a 8B parameter model to generate specialized SQL queries.

Expert Facilitator

Dr. Chen Wei
Dr. Chen Wei
AI Researcher, OpenAI Alumni

Dr. Wei contributed to early instruct-tuning methodologies. He now consults Fortune 500s on integrating open-weights models securely.

Student Perks

  • $500 in Pinecone / OpenAI credits
  • Whitepaper Co-authorship opportunities
  • Architecture Reviews