Leading Cross-Functional AI Delivery

This course is part of Managing AI Projects with Microsoft Professional Certificate

Instructor: Microsoft

Access provided by ExxonMobil

2 modules

Gain insight into a topic and learn the fundamentals.

Intermediate level

Recommended experience

3 hours to complete

Flexible schedule

Learn at your own pace

2 modules

Gain insight into a topic and learn the fundamentals.

Intermediate level

Recommended experience

3 hours to complete

Flexible schedule

Learn at your own pace

What you'll learn

Manage AI project execution using agile methods adapted for AI development.
Plan resources, identify risks, and maintain structured RAID tracking .
Use Azure DevOps to coordinate AI workstreams and stakeholder visibility.
Apply generative AI tools to support project documentation and communication.

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

5 assignments

Taught in English

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Build your Leadership and Management expertise

This course is part of the Managing AI Projects with Microsoft Professional Certificate

When you enroll in this course, you'll also be enrolled in this Professional Certificate.

Learn new concepts from industry experts
Gain a foundational understanding of a subject or tool
Develop job-relevant skills with hands-on projects
Earn a shareable career certificate from Microsoft

There are 2 modules in this course

Leading Cross-Functional AI Delivery focuses on managing AI initiatives through structured execution and disciplined coordination. AI projects require close collaboration between data scientists, engineers, architects, legal teams, and business stakeholders. This course equips you to guide that collaboration using practical project management frameworks adapted for AI development.

You’ll explore agile methodologies for AI initiatives, resource planning techniques, and structured risk management practices. The course also introduces Azure DevOps as a tool for organizing workstreams and maintaining visibility across teams. You will examine how generative AI tools can support project planning, documentation, and stakeholder communication, improving clarity and efficiency without replacing human oversight. By the end of this course, you’ll be able to manage AI project execution from idea to delivery while maintaining alignment, mitigating risk, and supporting cross-functional coordination in enterprise environments.

This module builds your ability to understand and evaluate how AI projects are structured within Azure DevOps for effective delivery oversight. You'll learn why AI projects require different organizational approaches than traditional software, particularly how to make experimentation visible, define meaningful lifecycle stages, and establish review points that support informed decision-making. By the end of this module, you'll be able to interpret AI project structures, assess whether work is organized for effective oversight, and conduct retrospectives that surface actionable improvements.

What's included

3 videos1 reading2 assignments

3 videosTotal 17 minutes

How AI projects differ from traditional software projects4 minutes
How to structure AI project work in Azure DevOps7 minutes
Setting up an AI project in Azure DevOps6 minutes

1 readingTotal 10 minutes

A practical framework for managing the AI project lifecycle10 minutes

2 assignmentsTotal 45 minutes

AI Project lifecycle setup30 minutes
AI project lifecycle management15 minutes

This module develops your ability to plan and oversee AI sprints where work includes both experimentation and delivery. You'll learn how to define sprint goals that align with learning objectives and delivery commitments, structure experimentation spikes with clear validation criteria, and interpret burndown trends when progress doesn't follow traditional patterns. By the end of this module, you'll be able to plan sprints that account for research uncertainty, recognize meaningful signals in delivery data, and make informed adjustments without overreacting to normal variability.