Paid course

Python for Data & AI/ML

numpy, pandas, visualization, scikit-learn, LLM APIs, LangChain, RAG, pgvector — plus the RAG Support Copilot capstone.

17 units 15.8h Intermediate → Advanced

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Curriculum

17 chapters

L4.1

Chapter 1 — Jupyter & Notebook Workflows

Intermediate25m L4.2

Chapter 2 — numpy Fundamentals

Intermediate40m L4.3

Chapter 3 — pandas DataFrames

Intermediate40m

L4.4

Chapter 4 — Data Cleaning & Transformation

Intermediate

45m

L4.5

Chapter 5 — Visualization — matplotlib & seaborn

Intermediate35m

L4.6

Chapter 6 — scikit-learn Fundamentals

Intermediate45m

L4.6B

Chapter 6B — Feature Engineering and Preprocessing Pipeline Design

Advanced45m

L4.7

Chapter 7 — Model Evaluation & Tuning

Intermediate40m

L4.8

Chapter 8 — LLM APIs & Prompt Engineering

Advanced40m

L4.8B

Chapter 8B — Structured Output, Tool Calling, and LLM Guardrails

Advanced45m

L4.9

Chapter 9 — LangChain & RAG

Advanced45m

L4.10

Chapter 10 — Vector Databases & Embeddings

Advanced40m

L4.10B

Chapter 10B — Hybrid Retrieval, Reranking, and Vector Operations

Advanced45m

L4.11

Chapter 11 — AI in Production

Advanced40m

L4.11B

Chapter 11B — AI Evaluation, Incident Response, and Governance

Advanced45m

L4.12

Chapter 12 — MLOps Basics

Advanced35m

L4.P4

Project P4 — RAG Support Copilot

Advanced300m

Learning Path

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