IIProgram

AI Engineering

Building production systems with intelligence inside them.

Admission

Enrol as a Scholar to enter this Program, keep a record of your progress, and pursue the Certificate in AI Engineering (Practitioner tier)..

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  • 201Course

    System Design for AI

    How AI-shaped systems are actually built.

    6 lessons·Practitioner
    The reference architectureModes of failure
  • 202Course

    Evaluation

    The one discipline that separates professionals.

    6 lessons·Practitioner
    Offline evalsOnline evals
  • 203Course

    Testing for AI Systems

    The regression suite for stochastic software.

    5 lessons·Practitioner
    The categoriesThe discipline
  • 204Course

    Prompt Versioning

    Treating prompts as production artifacts.

    4 lessons·Practitioner
    The system
  • 205Course

    Observability

    Seeing what your AI system is doing.

    5 lessons·Practitioner
    The stackWorking with traces
  • 206Course

    Cost and Latency

    The two constraints that shape design.

    5 lessons·Practitioner
    The economicsLatency
  • 207Course

    Caching and Prompt Caching

    The largest lever most teams skip.

    4 lessons·Practitioner
    The techniques
  • 208Course

    Memory Systems

    State across turns and sessions.

    4 lessons·Practitioner
    The architecture
  • 209Course

    Vector Databases

    The storage layer for retrieval.

    7 lessons·Practitioner
    The landscapeOperating a vector DB
  • 210Course

    Guardrails and Safety Layers

    Keeping systems inside boundaries.

    7 lessons·Practitioner
    The threatsThe defenses
  • 211Course

    Infrastructure and Scaling

    Serving AI at scale.

    7 lessons·Practitioner
    ServingDeployment