ITonlinelearning Academy

1.1 Course Introduction

1.2 Course Overview

1.3 Learning Objectives

1.4 What You Will Learn

1.5 What Makes The Course Different

1.6 Course Structure

1.7 How To Get The Most Out Of This Course

1.8 A Word About AI & Your Career

2.1 - What is AI And How Does It Work?

2.2 - Defining Artificial Intelligence

2.3 - The AI Core Loop

2.4 - The Machine Learning Training Process

2.5 - Neural Networks & Deep Learning

2.6 - Key Takeaways

3.1 - Different Types of AI

3.2 - The AI Capability Spectrum

3.3 - Functional Categories of AI

3.4 - Machine Learning: Three Approaches

3.5 - Key Takeaway

4.1 Large Language Models (LLM's)

4.2 What is a Large Language Model?

4.3 How LLMs Generate Text

4.4 Key LLM Concepts for Business Analysts

4.5 What LLMs Can & Cannot Do

Key Takeaways

Lesson 5.1 - Requirements Elicitation & Discovery

Lesson 5.2 - Drafting Requirements Documents With AI

Lesson 5.3 - Generating User Stories & Acceptance Criteria

Lesson 5.4 - Requirements Analysis & Validation With AI

Lesson 5.5 - Using AI for Requirements Modelling & Visualisation

Lesson 5.6 - Using AI for Requirements Traceability & Change Management

Lesson 5.7 - Prompt Engineering for Requirements Work

Lesson 5.8 - Practical Activity

Lesson 5.8 - Resources

Lesson 6.1 - Using AI to Map Current-State Processes

Lesson 6.2 - Process Analysis & Improvement with AI

Lesson 6.3 - Generating Process Models & Diagrams with AI

Lesson 6.4 - Data Modelling with AI

Lesson 6.5 - Use Case & Scenario Modelling with AI

Lesson 6.6 - State & Lifecycle Modelling with AI

Lesson 6.7 - Decision Modelling & Business Rules with AI