Curriculum & Module Map
Navigate 10 structured modules and 56 developer topic units. Unlock nodes, complete quizzes, and master production AI workflows.
Python
Master Python fundamentals, data structures, OOP, file handling, exception safety, and modern dev tools.
Git
Learn Git architecture, repository management, branching, merging, conflict resolution, and remote collaboration.
Model Providers (OpenAI, Claude, Gemini)
Learn API setup, calling patterns, structured outputs, function calling, multimodality, and vendor abstraction.
Prompt Engineering
Master prompt construction, advanced Chain-of-Thought techniques, provider nuances, and security safeguards.
LLMs
Understand how Large Language Models process data, transformer architecture, inference parameters, and selection strategies.
AI-Powered IDEs & Editors
Harness Cursor, Copilot, Antigravity, and Claude IDE for inline editing, context engineering, and automation.
Vector Databases
Dive into dense/sparse embeddings, chunking strategies, ANN indexing, hybrid search, and vector storage platforms.
Retrieval-Augmented Generation (RAG)
Build end-to-end RAG pipelines: document ingestion, hybrid ranking, Graph & Agentic RAG, evaluation, and CI/CD.