AI Engineering Fundamentals

About this course

Stop watching AI tutorials. Start engineering AI systems, the scientific way.

Most AI courses teach you to copy notebooks without understanding what happens underneath. This course takes a different approach. You’ll learn AI engineering through first principles, controlled experiments, measurable results, and honest analysis of what works, what fails, and why.

Using our Bricks → Walls → Castles model, you’ll progress from foundational concepts to focused mini-labs and complete project builds. Every concept is explained before you apply it, every lab supports a larger goal, and every project produces something worth showcasing on GitHub, your résumé, or your portfolio.

WHAT MAKES THIS COURSE DIFFERENTScientist-led teaching. TechBricks brings together scientists and engineers with more than 45 years of combined academic and industry experience. We teach both intuition and mathematics, without black boxes or hand-waving.

Concept first, code second. You’ll understand why each technique works before implementing it. Small ideas become practical components, and those components become complete AI systems.

Framework-light learning. You’ll work directly with the OpenAI SDK, without LangChain, LlamaIndex, or unnecessary abstractions. By the end, you’ll understand what AI frameworks do internally and when you should or shouldn’t use them.

Real projects, not toy demos. You’ll build systems for language modeling, structured extraction, multi-step reasoning, prompt-injection defense, retrieval-augmented generation, tool use, automated evaluation, and production deployment.

Cloud and local models. Work with the OpenAI API and free local models through Ollama, making the course accessible with or without an API budget.

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