3 training tracks, 90+ lessons, 20 podcast episodes

Master AI. Build with confidence.

From LLMs and RAG to Claude Code, MCP servers, and production deployment. A structured curriculum for engineers, architects, and AI leaders.

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3 free chaptersLifetime accessFree updates

How AI systems evolved

Three generations of AI architecture

Each generation builds on the last. Understanding all three is what separates engineers who use AI from engineers who build with it.

Generation 1

LLMs

Predict the next token

Transformer architecture processes tokens in parallel, not sequentially like RNNs
Trained on trillions of tokens. GPT-4, Claude Opus, Gemini, Llama, DeepSeek all share this foundation
Stateless: no memory between conversations, no access to tools or live data

What you can build

Chatbots, code completion, text summarization, translation, content generation

Generation 2

RAG

Retrieve, then generate

Embeds your documents into vectors, retrieves relevant chunks at query time, and feeds them as context
Hybrid search (BM25 + semantic) with reranking solves the "wrong document" problem that trips up naive RAG
Still reactive: waits for prompts. No planning, no tool use, no multi-step reasoning

What you can build

Knowledge bases, support bots with citations, document Q&A, enterprise search

Generation 3

Agentic AI

Plan, reason, act, learn

Agents call tools, read files, run code, and make decisions across multi-step workflows autonomously
MCP connects agents to any system. A2A lets agents collaborate. 97M monthly SDK downloads and growing
Self-improving: Claude's Dreaming feature reviews past sessions to find patterns. Outcomes defines success rubrics so agents can score and retry their own work

What you can build

Autonomous coding, research agents, CI/CD pipelines, multi-agent orchestration

Predicting words→Retrieving facts→Achieving goals

This course covers all three. Most training stops at the first.

Chapters

Programs

Lessons

Episodes

Tracks

AI FoundationsFree to start

Understand how AI actually works

10 structured chapters from GPT architecture to production deployment. Covers LLMs, RAG, agentic AI, MCP protocol, Docker, CI/CD, Kubernetes, and monitoring. Start with 3 free chapters.

10 chapters 3 free Capstone project

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LLMs & RAG

Models, embeddings, retrieval

Agentic AI

Reasoning & autonomy

MCP Protocol

Universal AI integration

Cloud Platforms

AWS, GCP, Azure

Production

Docker, CI/CD, K8s

Monitoring

LangFuse, A/B testing

Claude TrainingWith Certification

Master the full Claude ecosystem

8 certification programs covering prompting, Claude Code, API development, MCP servers, Skills authoring, and enterprise administration. Pass the quiz, earn the certificate.

8 programs 58 lessons Certificates

Explore Training

Prompting

Contract prompts & XML

Claude Code

CLI, hooks, Agent View

API & SDK

Streaming & tool use

MCP Servers

Build integrations

Skills

Reusable workflows

Enterprise

SSO, seats & security

AI Evals CourseAvailable Now

Evaluate AI systems rigorously

Build test datasets, run prompt evaluations, implement model-based and code-based grading, and create continuous eval pipelines. 8 weeks plus a capstone project.

8 modules Capstone project Certificate

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Eval Design

Datasets & rubrics

Error Analysis

Failure taxonomies

Model Grading

LLM-as-judge

Code Grading

Deterministic checks

CI Pipelines

Automated gates

Production

Monitoring & drift

What you get

Everything in one platform

Not just text. Interactive lessons, podcast episodes, certification quizzes, code examples, architecture diagrams, and production checklists.

Deep-dive chapters

From GPT architecture to Kubernetes auto-scaling. Each chapter builds on the previous one.

Hands-on lessons

Code examples, exercises, and real-world scenarios across Claude Code, API, MCP, Skills, and more.

Certification programs

Pass the master quiz (80%+) and earn a downloadable certificate. Add it to LinkedIn or share with your team.

Podcast episodes

Listen while you commute. Two engineers break down every topic from prompting to production MCP servers.

NEW SEASON20 Episodes~6 Hours

AI Training Unpacked

The podcast for engineers building with Claude.

Two engineers break down everything from how Claude processes text to building production MCP servers, cost optimization, security compliance, and curriculum design. No fluff, just the concepts and code you actually need. Listen while you commute, exercise, or code.

Listen Now All Episodes

What you can expect

S1 E1-5