AI Engineer Foundation
Core concepts every AI engineer needs before building production systems. Start here to build a solid mental model of embeddings, APIs, prompts, vectors, evaluation, and basic deployment.
8 lessons
Learning tracks
Each track is a curated sequence of lessons, quizzes, and projects designed to take you from concept to production-ready implementation. Start free, go deep with premium.
Core concepts every AI engineer needs before building production systems. Start here to build a solid mental model of embeddings, APIs, prompts, vectors, evaluation, and basic deployment.
8 lessons
Build, evaluate, debug, and deploy real-world retrieval-augmented generation systems. Go beyond toy examples to handle chunking tradeoffs, hybrid retrieval, reranking, citation grounding, and RAG observability.
14 lessons
Design reliable AI agents with tools, memory, planning, guardrails, and human review workflows. Learn the patterns used in production agentic systems, not just demos.
13 lessons
Operate AI systems with tracing, evaluation pipelines, regression tests, cost monitoring, and production dashboards. Learn the engineering discipline behind reliable LLM products.
12 lessons
Prepare for senior AI engineering interviews with system design walkthroughs, architectural tradeoffs, metric definitions, failure mode analysis, and mock interview practice.
11 lessons
Build monetizable AI products with authentication, payments, SEO, analytics, and AI features. Learn the full-stack AI SaaS architecture used in production.
11 lessons
Get full access to LLMOps, AI System Design Interview, and AI Product Builder tracks — plus all premium quizzes, projects, and downloadable guides.
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Weekly guides, interview prep, architecture breakdowns, and production lessons for engineers building with AI — free forever.