Why this course?

  • Learn through real-life easy to understand analogies

  • Balance of theory and practicals

  • Focus on learning along with passing certification

Course curriculum

    1. Introduction

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    1. AI Fundamentals

      FREE PREVIEW

    2. Making a recommendation

    3. What is a Model?

    4. Model - An Analogy

      FREE PREVIEW

    5. Supervised, Unsupervised and Reinforcement

    6. Comparison

    7. Data Types

    8. Batch and Real-time Inference

    9. Deep Learning

      FREE PREVIEW

    10. Download PDF of slides

    1. What is Generative AI?

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    2. Foundation Models

      FREE PREVIEW

    3. Large Language Model (LLM)

      FREE PREVIEW

    4. Transformer Models

    5. Text Generation

    6. Download PDF of slides

    1. Gen AI at AWS

      FREE PREVIEW

    2. Amazon Bedrock

    3. Amazon Bedrock - Demo

    4. Amazon Bedrock - Terminologies

    5. Customization

    6. Prompt Engineering

    7. Retrieval Augmented Generation (RAG)

    8. Knowledge Bases

    9. Amazon Bedrock Agents - Part 1

    10. Amazon Bedrock Agents - Part 2

    11. Pricing

    12. Integration with other services

    13. Guardrails

    14. Randomness and diversity

    15. Download PDF of slides

    1. Fine Tuning

    2. Fine-tuning vs. Continued Pre-training

    3. Custom Model in Amazon Bedrock

    4. Build your model

    5. Download PDF of slides

    1. Why build your own model?

    2. Analogy - Beer or Wine Prediction Model

    3. Roles in ML Team

    4. MLOps

    5. Amazon SageMaker

    6. Components and Features

    7. Prepare your data

    8. Build your model

    9. Train your model

    10. Deploy your model

    11. Amazon SageMaker Endpoints

    12. End-to-End-Demo-Part 1

    13. End-to-End-Demo-Part 2

    14. Download PDF of slides

About this course

  • £20.00
  • 74 lessons

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