AI Developer with Python

Install Python, VS Code Setup virtual environment (venv) Install extensions (Python, Jupyter) Why environment isolation is important

Variables, data types (int, float, string, bool) Input/output operations Basic debugging

Arithmetic, comparison, logical operators Type casting Practical examples for AI preprocessing

if, elif, else conditions Writing decision-making programs Intro to automation logic

for loop, while loop loop control (break, continue) Iterating datasets (AI perspective)

Functions & modular programming Parameters and return values String handling & useful string methods

List operations, slicing Tuple usage List comprehensions for data processing

Key-value data handling Efficient indexing Use cases in AI datasets

What is Retrieval-Augmented Generation Difference between LLM vs RAG Real-world applications

Reading text, PDF, CSV files Data extraction basics

What are embeddings Vector representation of text Intro to FAISS/Chroma

Keyword vs semantic search Implement similarity search Practical coding demo

OpenAI / Gemini API setup Making API calls Handling responses safely

Tokens, context window limits Prompt engineering basics Good vs bad prompts

Local LLMs (Ollama, HuggingFace) Prompting small models (SLMs) Cost vs performance tradeoff

Combine embeddings + search + LLM Build simple RAG pipeline Debugging and optimization

Architecture design Chunking strategies Caching & performance tuning

Context-aware prompting Reducing hallucination Response structuring

Upload and process PDF Build offline Q&A system Test responses

Query structured data Build analytics chatbot Improve answer accuracy

What are AI agents Difference between workflow vs agent Real-world use cases

Planning, Memory, Tools Decision-making systems Agent lifecycle

ReAct framework (Reason + Act) LangGraph basics Build simple agent workflow

Build autonomous weather agent Integrate APIs Agent decision loop Final system testing & demo