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AI & Machine Learning
From first model to production inference, without the hand-waving.
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Showing 1–12 of 12 courses
AION 2Lite Framework For C++ (Subscription Based)
The lightweight entry into the AION 2 C++ framework: pick your price, unlock lessons one tier at a time, and build AI applications at native speed.
AION 2Advanced Framework For C++ (Subscription Based)
Go beyond the basics: multi-agent orchestration in native C++, zero-copy retrieval pipelines, SIMD-accelerated inference routing and production-grade evaluation harnesses.
AI for Developers: A Practical First Month with LLM APIs
Your first month with model APIs: keys, streaming, retries, cost and one shipped feature.
Embeddings Explained: Search That Understands Meaning
Understand embeddings well enough to build search that finds meaning, not just keywords.
Build a RAG Pipeline That Actually Retrieves
Chunking, hybrid search and reranking, the parts that decide whether retrieval really works.
Vector Stores in Practice: pgvector, Qdrant and Friends
Pick, index and operate a vector store without turning your search into a science project.
Claude and ChatGPT for Everyday Engineering Work
Make assistants a genuine part of your workflow, not a party trick abandoned by Friday.
Fine-Tuning Small Models on Your Own Data
Build a dataset, run a LoRA fine-tune, and prove it beats prompting for your narrow task.
Machine Learning Foundations for Working Developers
The maths-light foundation that makes model behaviour, metrics and failures make sense.
LLM Application Architecture: From Prototype to Production
Queues, caching, streaming, fallbacks and budgets: the architecture behind a reliable AI feature.
Agentic Systems Engineering: Planning, Memory and Tool Loops
Design agents that plan, remember and stop, instead of looping until the budget is gone.
The Complete AI Engineering Program
Twenty-four hours taking you from a first API call to a deployed, evaluated AI product.