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NLP

NLP & LLMs

Promise

Master natural language, from embeddings to LLM fine-tuning and RAG.

Courses and prices

  • NLP & LLMs · Levels 100–200

    14 modules · levels 100–200

    estimated price0 of 14 modules published

  • NLP & LLMs · Complete · Levels 100–400

    25 modules · levels 100–400

    estimated price0 of 25 modules published

The five tracks cost the same despite differing module counts: the price reflects the competence a track delivers and the integrative project that closes it, not how many modules it lists. The MLOps track has fewer modules because it reuses less, not because it delivers less.

100Beginner28h

Modules of this track

  • NLP-101Syllabus published

    Text as data (tokens, cleaning, regex)

    Detailed syllabus not written yet

Reused modules

Comes from elsewhere in the curriculum

  • CORE-101What AI, ML and DL are
  • CORE-102Python for AI
  • CORE-104Data: collection and cleaning
  • CORE-105Basic statistics and probability
  • CORE-107Ethics, bias and safety in AI
  • CORE-108Git, GitHub and your portfolio

200Intermediate42h

Modules of this track

  • NLP-201Syllabus published

    Embeddings and semantic search

    Detailed syllabus not written yet

  • NLP-202Syllabus published

    End-to-end RAG (shared with Agentic AI)

    Detailed syllabus not written yet

  • NLP-203Syllabus published

    Classification and NER

    Detailed syllabus not written yet

Reused modules

Comes from elsewhere in the curriculum

  • CORE-203PyTorch in practice
  • CORE-204Evaluation and experimentation
  • CORE-205AI APIs and prompt engineering
  • DL-202RNNs and sequences

300Advanced48h

Modules of this track

  • NLP-301Syllabus published

    Fine-tuning LLMs in practice

    Detailed syllabus not written yet

  • NLP-302Syllabus published

    Alignment (RLHF/DPO — fundamentals)

    Detailed syllabus not written yet

Reused modules

Comes from elsewhere in the curriculum

  • CORE-301The Transformer architecture
  • CORE-302Fine-tuning and transfer learning
  • CORE-304Evaluating AI systems
  • CV-302Vision Transformers and multimodal models (shared with NLP)

400Expert46h

Modules of this track

  • NLP-401Syllabus published

    Efficient LLMs (quantisation, inference serving)

    Detailed syllabus not written yet

  • EX-NLPSyllabus published

    Project — a complete language product

    Content
    A domain-specialised RAG assistant, with evals

Reused modules

Comes from elsewhere in the curriculum

  • CORE-303Training optimisation
  • MLOPS-301Observability and monitoring
  • AG-401Agents in production: cost, latency, observability