AI & Machine Learning
From first model to production inference, without the hand-waving.
Practical machine-learning and applied-AI courses for developers who want working systems rather than lecture notes. You learn the maths only where it changes a decision, then build classifiers, recommenders, retrieval pipelines and agents you can actually deploy. Every project runs on a laptop — no cluster required.
- 12 courses
- Instant email delivery
- 14-day money-back guarantee
Showing 1–12 of 12 courses
AI for Developers: A Practical First Month with LLM APIs
by Priya Raman
Embeddings Explained: Search That Understands Meaning
by Priya Raman
Build a RAG Pipeline That Actually Retrieves
by Priya Raman
Vector Stores in Practice: pgvector, Qdrant and Friends
by Priya Raman
Claude and ChatGPT for Everyday Engineering Work
by Laura Mbeki
Fine-Tuning Small Models on Your Own Data
by Priya Raman
Machine Learning Foundations for Working Developers
by Priya Raman
LLM Application Architecture: From Prototype to Production
by Priya Raman
Agentic Systems Engineering: Planning, Memory and Tool Loops
by Priya Raman
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