Artificial Intelligence (Practical & Business Applications)

Courses Syllabus

Introduction

This intensive 5-day programme provides a practical understanding of Artificial Intelligence and its application in real business environments. Participants will learn how to identify opportunities, implement AI solutions, and lead AI-driven initiatives within their organisations.

Target Audience

• Technical Delivery Managers
• IT & Digital Transformation Professionals
• Project & Programme Managers
• Business Analysts
• Department Heads & Decision Makers

Learning Outcomes
By the end of this course, participants will be able to:

• Understand key AI concepts and capabilities
• Identify high-value AI opportunities
• Apply AI tools to improve business processes
• Manage and deliver AI projects effectively
• Develop AI strategies aligned with business goals

Day One

Foundations of AI & Business Value

• Understanding AI concepts and identifying where it creates business impact.

Key Topics

• Introduction to Artificial Intelligence
• Core concepts: Machine Learning, NLP, Automation
• AI vs Data Analytics vs Traditional Systems
• AI use cases across industries

Practical Session

Participants will explore tools such as

• ChatGPT
• Microsoft Copilot

Activities include

• Writing effective prompts
• Generating business reports and summaries

Outcome

• Participants identify initial AI opportunities within their organisation

Day Two

Data & AI Foundations

• Understanding how data enables AI and how to prepare for AI initiatives.

Key Topics

• Types of data (structured vs unstructured)
• Data lifecycle and quality management
• Data governance and compliance (including GDPR principles)
• Introduction to machine learning concepts

Practical Session

• Assess organisational data readiness
• Identify key data sources and gaps
• Perform basic data analysis (Excel-based exercise)

Outcome

• Participants produce a Data Readiness & Risk Assessment

Day Three

AI Tools & Business Applications

• Applying AI tools to real-world business and delivery scenarios.

Key Topics

• Overview of AI tools and platforms
• Generative AI in business operations
• AI for reporting, automation, and customer engagement
• Risks and limitations of AI technologies

Practical Session
Hands-on exercises using:

• ChatGPT
• Power Automate

Participants will:

• Automate a business process
• Generate reports and summaries
• Build simple AI-driven workflows

Outcome

• Participants create a working AI-powered process or workflow

Day Four

Delivering AI Projects

• Managing and delivering AI initiatives successfully.

Key Topics

• AI project lifecycle (design → deployment)
• Agile delivery in AI environments
• Stakeholder management
• Working with data scientists and engineers
• Build vs buy decisions

Practical Session
Group exercise:

• • Define a real AI use case
  • Develop a delivery roadmap
  • Identify risks, costs, and benefits

Outcome

• • • Participants develop a structured AI Project Plan

Day Five

AI Strategy, Governance & Implementation

• • • Aligning AI initiatives with business strategy and ensuring responsible use.

Key Topics

• • • Developing an AI strategy
    • Identifying high-impact use cases
    • AI governance, ethics, and compliance
    • Measuring ROI and business value

Capstone Project
Participants will

• • • Design an AI solution
    • Build a business case
    • Present an implementation roadmap

Outcome

• • • Participants deliver a complete AI Business Case & Strategy Proposal