Summary
Skill Level: Intermediate
Tech: Python, Node.js, OpenAI, LangChain, Vector DBs
Duration: 4 weeks
Project: AI Assistant & RAG Agent
Certification: Yes
Description
Master the mindset and tools of practical AI. Build real-world products with LLMs, LangChain, and modern AI APIs. Go from idea to deployed AI app in four weeks.
What You'll Learn:
- Practical AI product thinking: LLMs vs Classical ML
- Modern AI stack: APIs, SDKs, vector DBs, embeddings
- Prompt engineering and transformers fundamentals
- LangChain for rapid prototyping and agents
- Retrieval-Augmented Generation (RAG) and memory
- Deploying, scaling, and monitoring AI apps
Course Outline
Practical AI mindset, LLMs vs Classical ML
- Real-world use cases: chatbots, assistants, RAG apps
- Modern AI stack: APIs, SDKs, vector DBs, embeddings
- Setup: Python, Node.js, VSCode/Cursor, OpenAI SDK, LangChain
- Project kickoff: Personal AI assistant
- Hello World LLM app
- Homework: Primer on transformers, API key setup, LangChain basics