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    Applied AI/ML for builders, not just researchers.

    Course · AI/MLDuration · 12 weeksLevel · Intermediate — Advanced

    Twelve weeks from classical ML through deep learning to modern LLM application development — with model deployment and a production AI capstone.

    What you'll walk away with

    Outcomes by program end.

    • 01Fluent with classical ML algorithms and evaluation
    • 02Deep learning with PyTorch: CNNs, RNNs, transformers
    • 03LLM application development with RAG and agents
    • 04Model deployment, monitoring, and production ML pipelines

    Week-by-week

    Syllabus in order.

    1. Week 1–2
      ML foundations

      Linear models, trees, evaluation, cross-validation.

    2. Week 3–4
      Deep learning

      Neural nets, backprop, PyTorch training loops.

    3. Week 5–6
      Computer vision

      CNNs, transfer learning, object detection basics.

    4. Week 7–8
      NLP & transformers

      Embeddings, attention, fine-tuning, Hugging Face.

    5. Week 9–10
      LLM applications

      RAG, agents, evaluation harnesses, cost control.

    6. Week 11–12
      Capstone

      Design, train/build, deploy, and evaluate an AI system.

    Next course

    NLP →