Become an AI Business Architect Today!

Join the next generation of business architects. Learn to leverage AI tools, master prompt engineering, and create context driven capabilities and strategies that drive business value. With one year of access to both comprehensive training and the Aidon.ai platform, you'll gain the skills needed to lead in the AI-enabled business world.

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Available from 1 July 2025.
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Before we begin...

How to use this course

Readiness Quiz: Introduction to AI Business Architect

Handouts and Materials

What is Artificial Intelligence?

A Brief History of AI

Key Concepts and Terminology

Applications of AI in Various Industries

Ethical Considerations in AI

The Future of AI

Preparing for a Career in AI

Quiz: Introduction to AI

Introduction to AI Summary and Handout

Understanding the Role of an AI Business Architect

The Importance of AI in Business Architecture

Key Skills for an AI Business Architect

Overview of AI Technologies Used in Business

The AI Business Architect's Strategy to Requirements Approach

Challenges and Opportunities in AI Business Architecture

Case Studies for Success

Quiz: Introduction to AI Business Architect

Summary and Handout: Introduction to AI Business Architect

Introduction to Workspace Management in AI

Understanding Context in AI Outputs

Creating Context Windows

The Role of User, Agents and System Prompts

Best Practices for Contextual Workspace Management

Analyzing the Impact of Context on AI Performance

Future Trends in Contextual AI Workspaces

Quiz: Workspace Management and Context

Summary and Handout: Workspace Management and Context

Introduction to AI Models in Business

Understanding Features in AI Models

Choosing the Right Model for Business Needs

Evaluating Model Performance from a Business Perspective

Analysing Cost to Benefit of Model Choice

Ethical and Practical Considerations in Model Selection

Practical Exercise : Comparing Model Outputs Using the Same Prompt

Quiz: Model Selection

Summary: Leveraging Models and Features

Introduction to Prompt Engineering

Principles of Inputs and Outputs in AI Interactions with Instructional Approaches

Understanding the CO-STAR Framework

Techniques for Enhancing AI Responses

Avoiding Common Pitfalls in Prompt Engineering

Tailoring Prompts for Business Applications

Practical Exercise – Crafting Effective Prompts Using Principles and Frameworks

Quiz: Prompt Engineering

Summary and Handout: Prompt Engineering

Why Structure Our AI Inputs and Outputs?

Introduction to Markdown for Non-Technical Users

Basic Markdown Syntax and Formatting

Enhancing Prompt Outputs with Markdown

Applications of Markdown

Structuring and Formatting Inputs and Outputs

Practical Exercise – Using Markdown to Enhance Prompts and Outputs

Quiz: Markdown and Documentation

Summary and Handout: Markdown for Structured Inputs and Outputs

The Importance of Effective File Management

Best Practices for File Naming

Crafting Effective File Descriptions

Organizing Files into Folders and Collections

Understanding Metadata and Its Application

Maintaining and Updating Files and Collections

Practical Exercise – Organizing Files and Creating Metadata

Quiz: Filing and Creation Management

Summary and Handout: Filing and Creation Management

Introduction to Vectors in AI

Understanding Datasets

The Role of Vectors in AI Models

Introduction to Embeddings

How Vectors, Datasets, and Embeddings Work Together

Applications of Vectors, Datasets, and Embeddings

Practical Exercise – Working with Vectors, Datasets, and Embeddings

Quiz: Vectors, Datasets and Embeddings

Summary and Handout: Vectors, Datasets and Embeddings

Introduction to JSON

JSON Syntax and Structure

Using JSON in API Calls

Making API Calls with JSON

Integrating Tools with JSON

Tool Calling in Aidon Using JSON

Practical Exercise – Making API Calls with JSON

Quiz: JSON and Tool Calling

Summary and Handout: JSON and Tool Calling

Introduction to Multimedia in AI

The Role of Images in AI

The Role of Audio in AI

Understanding Text-to-Speech (TTS) Technology

Integrating Multimedia and Visualization Tools

Using Multiple Languages in AI Applications

Practical Exercise – Exploring Multimedia Capabilities

Summary and Handout: Multimedia in AI Applications

Introduction to Agents in AI

Characteristics of Intelligent Agents

Agentic Approaches in AI

Applications of Agents in Business

Designing and Implementing Agents

Ethical Considerations in Agent Design

Practical Exercise – Designing an Intelligent Agent

Quiz: Agents and Agentic Approaches

Summary and Handout: Agents and Agentic Approaches

Introduction to Human-in-the-Loop (HITL)

The Role of Humans in AI Systems

Benefits of Human-in-the-Loop Approaches

Challenges of Human-in-the-Loop Systems

Applications of HITL in Business

Best Practices for Implementing HITL Systems

Practical Exercise – Implementing a HITL Approach

Summary and Handout: Human-in-the-Loop

Introduction to Capability Mapping

Capability Mapping using AI

Enhancing Capabilities Outcomes and Contexts

Expanding Capability Levelling

Linking Capabilities to Information Concepts

Creating Tables and Datasets for Capability Modelling

Practical Exercise: AI Capability Mapping

Quiz: AI Capability Mapping

Summary and Handout: AI Capability Mapping

Introduction to Datasets and Knowledge Graphs

Types of Datasets and Their Applications

Understanding Knowledge Graphs

Building a Business Architecture Knowledge Base

Integrating Datasets and Knowledge Graphs into Business Architecture

Best Practices for Managing Datasets and Knowledge Graphs

Practical Exercise – Designing a Business Architecture Knowledge Base

Quiz: Datasets, Knowledge Graphs and Knowledge Base

Summary and Handout: Datasets, Knowledge Graphs and Knowledge Base

Introduction to Strategy to Requirements Workflow

AI-Enhanced Strategic Analysis

Information Concepts for AI Mapping

Creating User Stories to Align with Strategy

Structuring your Requirements

AI-Powered Requirements Validation and Testing

Practical Exercise: Strategy to Requirements Workflow

Quiz: Strategy to Requirements Workflow

Summary and Handout: Strategy to Requirements

Introduction to AI Workflows

Dynamic Rules Engine Architecture

Designing Dynamic Routing Rules

AI-Powered Decision Making in Workflows

Implementation of Dynamic Routing

Monitoring and Analytics

Practical Exercise – Building an AI Workflow

Quiz: AI Workflow with Dynamic Rules-Based Routing

Summary and Handout: AI Workflow with Dynamic Rules-Based Routing

The Role of the AI Business Architect

Core Competencies for AI Business Architects

Next Steps in Your AI BArch Journey

Tips for Success

Before we go... How far have you come?

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