ITonlinelearning Academy

1.1 Introduction

1.2 What is Artificial Intelligence?

1.3 How AI Recognises Patterns?

1.4 Real-World AI in Action

1.5 The Building Blocks of AI

1.6 The AI System Development Journey

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2.1 Introduction

2.2 What is AI Engineering?

2.3 What Does an AI Engineer Do?

2.4 Example of AI Engineering

2.5 What do AI Engineers Need to Know?

2.6 Why become an AI Engineer

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3.1 Introduction

3.2 Machine Learning

3.3 AI Engineering

3.4 Software Engineering

3.5 Data Engineering

3.6 Where AI Engineering Fits In

3.7 Real World Example

3.8 Why this matters to you

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4.1 Introduction

4.2 Programming Skills

4.3 Software Engineering Skills

4.4 Mathematics Skills

4.5 Data Skills

4.6 Cloud-Computing Skills

4.7 Machine Learning Skills

4.8 Data Analysis Skills

4.9 Communication Skills

4.10 Problem-Solving Skills

4.11 Continuous Learning & Improvement

4.12 Approach to Learning AI Engineering

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5.1 Introduction to Common AI Engineering Techniques

5.2 AI Prompt Engineering

5.3 Fine-tuning an AI Model

5.4 Retrieval-Augmented Generation

5.5 AI Model Evaluation

5.6 Software & Web Knowledge for AI

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6.1 Introduction to Foundation Models

6.2 Training Data - The Foundation's Foundation

6.3 Training Data - Some Important Traits

6.4 Domain-Specific Models

6.5 Model Architecture - Transformers and Attention

6.6.1 Tokens & Tokenisation

6.6.2 Embeddings & Semantic Meaning

6.6.3 Weights, Parameters & Training