Course curriculum

    1. C|AAINE: Getting started with the Markdown Editor

    2. C|AAINE: Pre-Course-Preparation

    1. Curriculum

    2. Phase1 - Foundations of Generative AI and NLP

    3. Phase2 - Training and Fine-Tuning LLMs

    4. Phase3 - Advanced Applications of LLMs

    5. Phase4 - Deployment and Comprehensive Lab

    1. Labs Structure *readme first

    2. Lab 0 - LLaMA 3 Transformers

    3. Lab 1 - BoW and TF-IDF

    4. Lab 2 - Working with Word2Vec & GloVe Embeddings & Semantics

    5. Lab 3 - Sentiment Analysis using NLP and LLMs

    6. Lab 4 - Text Summarisation with LLMs

    7. Lab 5 - Fine-Tuning an LLM for Domain-Specific Tasks

    8. Lab 6 - Entity Recognition Using NLP (Python & C#)

    9. Lab 7 - Understanding RNNs for Sequential Data

    10. Lab 8 - Exploring Word2Vec Embeddings for semantic relationships

    11. Lab 9 - Understanding GloVe Embeddings for semantic relationships

    12. Lab 10A - Implementing Attention Mechanisms with Seq2Seq

    13. Lab 10B - Working with Python and Split-Flow to Train Your Local LLM (Ollama)

    14. Lab 10C - Baking Unsupervised Data into a Local LLM using Python

    15. Lab 11 - Multilingual Translation with LLMs (GPT‑5.2 & Gemini)

    16. Lab 12 - Multilingual Summarisation with LLMs (GPT-5.2 & Gemini)

    17. Lab 13 - Summarisation with LLaMA 3, and Comparing Against Traditional Methods (TF-IDF)

    18. Lab 14 - Fine-Tune LLaMA 3 for Translation, Then Evaluate with Native-Speaker Rubrics (Local, Ollama)

    19. Lab 15 - Fine Tuning LLaMA3-Domain Multimodal-Python and C#

    20. Lab 16 - Mistral Content Generation-Python and C#

    21. Lab 17 - Calling a Pre-trained LLaMA 3 Model via Hugging Face API (C# and Python)

    22. Lab 18 - Attention Mechanisms in Mistral (Token-Level Visualisation)

    23. Lab 19 - Structured API Prompt Engineering and Response Processing

    24. Lab 20 - Developing a Summarisation API Consumer with HTTP Response

    25. Lab 21 - Designing a Multimodal Dashboard Wireframe

    26. Lab 22 - Streamlit Dashboard with LLaMA 3 via Ollama (Local Summarisation)

    27. Lab 23 - Multimodal Input-Output with Claude and Gemini

    28. Lab 24 - Banking Dashboard-GPT-Mistral-Ollama

    29. Lab 25 - Real-Time Social Listening Dashboard with Grok (xAI) + X (Twitter)

    30. Lab 26 - End-to-End Multimodal Dashboard

    31. Lab 27 - End-to-End NLP Pipeline-Finance

    32. Lab 28 - Real Time Threat Detection Pipeline-Cybersecurity

About this course

  • £1,495.00
  • 39 lessons
  • 0 hours of video content

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