02 — Technology
AI Tutorials
From first principles to production patterns — structured modules across the modern AI stack, written for builders who want the why as much as the how.
8 modules · 94 chapters · ~50 hrs
Curriculum
Choose a module
ML Fundamentals
Core machine learning algorithms and techniques from first principles
16 chapters
521 min
Natural Language Processing
From text preprocessing and phonology to transformers, QA, and production deployment
13 chapters
371 min
Generative AI
From diffusion models to LLMs, RAG, and responsible deployment
13 chapters
375 min
Agentic AI
Build autonomous AI agents with real-world frameworks
14 chapters
402 min
Computer Vision
From pixel fundamentals to diffusion models and video understanding
10 chapters
590 min
Responsible AI
Fairness, transparency, accountability, safety, privacy, and ISO 42001
10 chapters
319 min
MLOps & AI Engineering
Getting models to production reliably — build, deploy, monitor, and maintain
10 chapters
246 min
Knowledge Graphs
From triples to production graph systems
8 chapters
200 min