Course · 11 chapters

Production AI

Ship and operate — testing, security, cost, streaming, system design, and UX

Paidpractitioner11 chaptersEnglish + 6 languagesCertificate on completion

What you'll be able to do

  • The map of the Production AI skill path — what each chapter teaches, how they fit together, and where to start.
  • Build eval suites, catch prompt regressions, and stop shipping on vibes. Practical evaluation patterns for AI engineers.
  • Deploy, monitor, and operate AI systems that stay reliable at scale.
  • Instrument, debug, and optimize multi-step AI agents in production.
  • Protect AI applications from prompt injection to compliance — the security every AI engineer needs.
  • Master token economics, model routing, and budget governance to run AI sustainably.

What's inside

  1. 1
    Production AI: Intro

    The map of the Production AI skill path — what each chapter teaches, how they fit together, and where to start.

  2. 2
    AI Testing & Evals

    Build eval suites, catch prompt regressions, and stop shipping on vibes. Practical evaluation patterns for AI engineers.

  3. 3
    LLMOps in Production

    Deploy, monitor, and operate AI systems that stay reliable at scale.

  4. 4
    AI Observability & Agent Tracing

    Instrument, debug, and optimize multi-step AI agents in production.

  5. 5
    AI Security & Guardrails

    Protect AI applications from prompt injection to compliance — the security every AI engineer needs.

  6. 6
    AI Cost & Model Strategy

    Master token economics, model routing, and budget governance to run AI sustainably.

  7. 7
    Streaming & Real-Time AI Patterns

    Build responsive AI interfaces with SSE, streaming APIs, partial JSON parsing, and real-time tool calls.

  8. 8
    AI System Design

    Architect reliable, scalable AI-powered applications for production.

  9. 9
    AI UX Patterns

    Design patterns engineers can implement today to build AI interfaces users actually trust.

  10. 10
    Model Migration & Multi-Provider Strategy

    Prepare for model deprecations, build abstraction layers, and route across providers with confidence.

  11. 11
    Load Testing AI Systems

    Why k6 and Locust lie about streaming LLMs — and the metrics, tools, and gates that actually hold up under traffic.

Earn a certificate

Complete all chapters to receive your certificate of completion.