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INTERACTIVE LEARNING MAP

AI Engineer Foundations

Build the skills to design, evaluate, and ship AI-powered applications. Explore a topic for a separate learning page; follow the suggested connections at your own pace.

Foundations Core skills Production

Suggested, not prescribed: Python foundations support the other stages. Data handling and machine-learning fundamentals can be learned in parallel; the connections show useful prerequisites, not a one-size-fits-all sequence.

INTERACTIVE LEARNING MAP

AI Engineer Foundations

Seven connected stages from core skills to production systems.

100%
STAGE 01Python & software foundationsPython fundamentalsSTAGE 02Data handling & engineering foundationsData formatsSTAGE 03Machine-learning fundamentalsSupervised and unsupervised learningSTAGE 04Deep learning & LLM foundationsNeural-network fundamentalsSTAGE 05Generative-AI application developmentPrompt designSTAGE 06MLOps & production deploymentModel training pipelinesSTAGE 07Production system designAPIs and distributed systems
  1. 01
    Python & software foundationsWrite clear programs and reason about their cost.
  2. 02
    Data handling & engineering foundationsMove data safely and make it useful.
  3. 03
    Machine-learning fundamentalsTrain models and measure whether they generalize.
  4. 04
    Deep learning & LLM foundationsUnderstand representations, attention, and generation.
  5. 05
    Generative-AI application developmentBuild useful applications around language models.
  6. 06
    MLOps & production deploymentDeploy, monitor, and improve models responsibly.
  7. 07
    Production system designConnect APIs, infrastructure, and operational trade-offs.

Select any stage to open a separate learning page. Suggested connections do not imply every learner follows a fixed sequence.

All roadmapsStart with Python foundations