AB-731T00-A: Drive AI Transformation in your Organization

Modules

Module 1: Understand the Foundations of Generative AI for Business Leaders

Generative AI is transforming the way organisations innovate, operate, and compete. For business leaders, understanding the foundations of generative AI is essential for identifying new opportunities, generating measurable business value, and leading successful transformation.

This module provides a practical introduction to generative AI concepts, technologies, and solutions, including Microsoft Copilot, Azure AI, and intelligent agents. It also explores real-world business scenarios, cost considerations, and strategies for responsible AI adoption.

Learning Objectives

By the end of this module, you will be able to:

• Explain the foundational concepts and business value of generative AI for organisations.
• Identify and evaluate Microsoft generative AI solutions, including Copilot, Azure AI, and agents, for common business scenarios.
• Assess key considerations for adopting generative AI, including model selection, cost drivers, and responsible use.
• Recognise key challenges and opportunities associated with generative AI, including reliability, bias, and strategic alignment.

Module 2: Build Effective Generative AI Solutions in Your Organisation

Discover how to effectively implement generative AI within your organisation. This module explores the essential elements of building reliable and responsible AI solutions, from developing effective prompts and grounding AI in trusted data to ensuring data quality and security.

You will also learn when machine learning may be appropriate and gain practical insights to help drive business value and confidently lead your organisation’s AI adoption journey.

Learning Objectives

By the end of this module, you will be able to:

• Explain how prompt engineering influences AI outcomes.
• Describe how grounding and Retrieval-Augmented Generation (RAG) can improve AI accuracy and trust.
• Identify key data quality and security requirements for developing trustworthy AI solutions.
• Recognise when to use machine learning and understand its lifecycle.

Module 3: Drive Business Value with Microsoft Copilot Solutions

Discover how Microsoft Copilot can transform the way your organisation works. This module explores how Copilot integrates with Microsoft 365 applications to automate routine tasks, provide actionable insights, and support secure and compliant innovation.

You will explore Copilot licensing options, extensibility through Copilot Studio, and practical strategies for maximising the business impact of Copilot across your organisation.

Learning Objectives

By the end of this module, you will be able to:

• Understand the capabilities of Copilot solutions and their potential organisational benefits.
• Identify opportunities to integrate AI solutions into business processes to deliver measurable value.
• Evaluate options for adopting, licensing, and extending AI solutions to meet your organisation’s needs.

Module 4: Drive Business Value with AI Using Microsoft Foundry Tools

Discover how Microsoft Foundry can accelerate innovation and improve efficiency across your organisation. This module introduces Microsoft Foundry tools, including Azure Vision, Azure Language, Azure Document Intelligence, and Azure Search, and explores how they can support secure and compliant solutions for real-world business challenges.

You will explore different approaches using prebuilt tools, Foundry Models, and Retrieval-Augmented Generation (RAG), while gaining practical guidance on selecting the right solution to deliver measurable business impact.

Learning Objectives

By the end of this module, you will be able to:

• Describe how Microsoft Foundry enables secure and compliant business transformation.
• Recognise key Microsoft Foundry tools and their primary use cases.
• Match business requirements with appropriate Foundry solutions.
• Select suitable Foundry Models and subscription options for your organisation.

Module 5: Leverage AI Tools and Resources for Your Business

Drive business transformation by leveraging Azure cloud and AI capabilities. This module explores how organisations can unify their data estate, modernise infrastructure, and build intelligent applications and agents while maintaining strong governance, security, compliance, and responsible AI practices.

You will learn how to establish the foundations required to scale AI securely and deliver measurable business outcomes.

Learning Objectives

After completing this module, you will be able to:

• Prioritise AI use cases based on value, feasibility, and time to value, while tracking results using clear Key Performance Indicators (KPIs).
• Unify data, modernise infrastructure, and adopt Azure services to run secure and compliant AI at scale.
• Implement governance, security, and regulatory controls to manage risk and maintain trust.
• Enable employees to use AI in their daily work through Copilot, agents, and low-code tools to improve productivity and streamline processes.

Module 6: Create Business Value with AI

Learn how to transform AI experiments into dependable solutions that deliver measurable business outcomes. This module focuses on aligning AI initiatives with organisational priorities, establishing the right foundation for deployment, accelerating adoption, and managing AI-related risks responsibly.

Learning Objectives

After completing this module, you will be able to:

• Align AI strategies with business priorities to focus on high-impact opportunities.
• Design a scalable and secure foundation for AI deployment.
• Accelerate AI adoption through effective tools, approaches, and implementation methods.
• Develop governance strategies to manage AI-related risks responsibly.
• Integrate organisational and cultural changes to support effective AI implementation.

Module 7: Embrace Responsible AI Principles and Practices

Learn how to implement responsible AI practices that build trust while creating sustainable business value. This module explores Microsoft’s responsible AI principles, governance frameworks, and real-world examples to help organisations develop appropriate policies, processes, and safeguards.

Participants will gain practical insights into establishing ethical, secure, and scalable approaches to AI adoption.

Learning Objectives

By the end of this module, you will be able to:

• Explain why responsible AI matters and recognise its broader societal implications.
• Apply Microsoft’s six guiding principles for responsible AI within your organisation.
• Design a governance system that translates responsible AI principles into actionable policies and controls.
• Identify practical steps for implementing responsible AI across teams and business processes.

Module 8: Scale AI in Your Organisation

Learn how to move from individual AI initiatives to organisation-wide AI adoption. This module explores the strategies and practical considerations required to scale AI effectively, including developing an AI strategy, establishing clear responsibilities, empowering employees, and enabling business users and subject matter experts to incorporate AI into their everyday work.

You will explore how organisations can build the right environment, capabilities, and governance structures to support sustainable AI adoption while ensuring that AI initiatives remain aligned with business priorities and deliver measurable value.

Learning Objectives

By the end of this module, you will be able to:

• Develop strategies for scaling AI adoption across different functions and areas of the organisation.
• Define roles and responsibilities for leaders, business users, subject matter experts, and other stakeholders involved in AI initiatives.
• Identify organisational readiness requirements for successful and sustainable AI adoption.
• Empower employees and business users to confidently use AI tools such as Copilot, agents, and low-code solutions in their daily work.
• Establish effective approaches to change management and AI enablement to encourage adoption across teams.
• Align AI initiatives with organisational goals, governance requirements, and measurable business outcomes.