Build and ship real AI applications
Practical AI courses for developers, founders and professionals learning AI agents, RAG systems and automation workflows — with hands-on projects, not lecture reels.
Every course ends with a real project you can put on GitHub.
Evaluations, observability and cost controls — not toy demos.
Curriculum reflects how AI is actually shipped in 2026.
Focused on what actually ships
We're a new platform. That means a tight curriculum, direct feedback and no filler.
You'll build things like RAG pipelines, agents and automation workflows — end to end.
Every lesson has runnable code. No 40-minute intros to what an LLM is.
Retrieval, evaluation, tool use, observability — the parts that decide if it ships.
Ask questions, share projects and get feedback from the instructor and other members.
What are you building?
Seven curated learning tracks that map to how AI actually gets shipped.
Foundations
Prerequisite skills you need before diving into AI courses
AI Agents
Build autonomous agents that reason, plan and act.
Agentic AI
Multi-agent systems, orchestration, and tool use.
Large Language Models
Foundations, fine-tuning and evaluation of LLMs.
Prompt Engineering
From zero-shot to advanced prompt patterns.
RAG
Retrieval-augmented generation systems end to end.
MCP
Model Context Protocol servers, clients and tools.
AI Workflows & Automation
n8n, LangGraph and production AI pipelines.
Courses students are shipping with
Real projects, real evaluation. Not a series of hello-worlds.
Prompt Engineering Mastery
Patterns, evals, and prompt ops for real products.
LLM Foundations: A Deep Dive
Transformers, tokenization, attention, and evaluation.
RAG Systems, End to End
Ingestion, retrieval, reranking, and evaluation at scale.
Building Production AI Agents
From prototype to reliable, observable agents in production.
AI Workflows & Automation
From n8n prototypes to reliable production pipelines.
Agentic Systems with LangGraph
Multi-agent orchestration, memory, and long-horizon tasks.
Prove it with 5,400+ practice questions
Every module now ships with a 100-question bank. Each attempt draws 10 fresh questions in a random order — so you can retake as often as you like without ever memorising the answer key.
- 100 questions per moduleHand-authored across every course — Agents, RAG, LLMs, Workflows and more.
- 10 random each attemptAnswers are reshuffled too. Every retake is a new test of your understanding.
- Built into every lessonOpen any course and hit the module quiz — instant feedback, no signup gate.
Which technique reduces hallucinations in a RAG pipeline most reliably?
Real projects, not toy demos
Every course ends with a shippable project you can push to GitHub and show to a hiring manager.
Production RAG assistant
A retrieval-augmented assistant with hybrid search, reranking, citations and offline evals wired into CI.
- Hybrid search + reranker
- Faithfulness evals
- Cost & latency dashboard
LangGraph research agent
A multi-step agent with tool use, human-in-the-loop approvals, replayable traces and hard cost caps.
- Typed state machine
- Interrupt & approve nodes
- Trace-based debugging
AI workflow automation
An event-driven workflow that triages inbound leads with structured LLM output, retries and idempotency.
- Structured JSON output
- Retry & DLQ handling
- ROI measurement
Sample capstone projects from the curriculum. Student project gallery launches with the first cohort.
Learn from a working practitioner
Every course is taught by someone who ships AI systems for a living. Bring your hardest questions.
Usman Yaqoob
Usman leads the AI Academies curriculum, teaching engineers and builders how to design, evaluate and ship AI applications end-to-end — from prompt architecture and retrieval to agents, evals and cost-aware production deployments.
Join the first cohort
We're brand new. Founding members get early access, discount pricing, direct feedback with the instructor, and a say in which courses we build next.
- Early access to every new course
- Founding-member pricing, locked in
- Direct feedback and code review
- Vote on the next course we build
- Join founding members
Simple, honest pricing
Free to explore. Upgrade when you're ready to ship.
Explore the catalog and start with free lessons.
- Access to all previews
- Community discussions
- Weekly AI news digest
Everything you need to ship real AI projects.
- Full course library
- Project reviews & feedback
- Certificates on completion
- Live cohort access
For engineering orgs adopting AI in production.
- Everything in Pro
- Team analytics dashboard
- Private cohorts
- SSO & invoicing
Questions, answered
Welcome back — sign in
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The Free AI Starter Kit
A short, opinionated pack to help you actually start building. Drop your email and we'll send it over — no spam, unsubscribe anytime.
- Curated AI tools list
- Prompt engineering starter guide
- AI agent architecture roadmap
- RAG production checklist