Leading AI and ML Projects

Overview Learning objectives What you'll learn Key facts FAQs What our customers say Get in touch

Course overview

The Leading AI and ML Projects course is designed for project managers responsible for the delivery of artificial intelligence and machine learning initiatives. The course explores the distinctive characteristics of AI and ML projects, helping you plan and manage delivery more effectively. By developing a stronger understanding of AI terminology, project lifecycles, risk management and stakeholder engagement, you can make more informed decisions and improve project outcomes.

Practical AI project leadership skills

This two-day course is designed for project managers who need to lead AI and machine learning initiatives with greater confidence. It focuses on the unique considerations associated with AI and ML projects, including data requirements, stakeholder expectations and project risk. The course is suitable for professionals with existing project management knowledge who want to strengthen their ability to work effectively with technical teams and support successful AI-driven business initiatives.

Learning objectives

Understand AI and ML project challenges
Apply AI project methodologies
Scope AI initiatives effectively
Plan AI and ML delivery
Manage stakeholder expectations
Lead cross-functional teams
Evaluate AI project risks
Measure project performance
Use MLOps concepts in planning
Assess AI project feasibility

What you'll learn

Understand how AI and ML projects differ from traditional delivery approaches. This course focuses on the judgement needed to manage AI initiatives where outcomes can be less predictable. Rather than treating AI delivery as a standard project with new technology attached, the training helps you establish the conditions for informed decision making and stronger collaboration between technical and project teams.

AI and ML foundations

Build your understanding of key AI and machine learning concepts and terminology. Explore commonly used terms and develop the knowledge required to communicate more effectively with technical specialists, business stakeholders and project teams.

AI project lifecycles

Examine the stages involved in AI and ML delivery and understand how project approaches can differ from traditional software initiatives. Learn how project planning and execution can be adapted to support AI development activities.

Planning and governance

Explore methods for defining project scope, assessing feasibility and creating structured delivery plans. Learn how to break complex initiatives into manageable phases while supporting effective decision-making throughout the project lifecycle.

Teams and stakeholders

AI projects depend on close collaboration between technical specialists and business decision-makers. This section explores how to build shared understanding across those groups, so project teams can work with stronger communication and better alignment around what the project needs to achieve.

Risk and performance management

Learn how to manage risks associated with AI and machine learning projects. Explore approaches for monitoring progress and evaluating success using both technical and business-focused measures.

What's included

Leading AI and ML Projects training
All associated training materials
Guidance from experienced trainers

Key facts

Certification

This is a skills and knowledge-based course without formal accreditation.

Who it’s for

This course is designed for project managers who want to lead artificial intelligence and machine learning initiatives.

Prerequisites

A foundational understanding of project management is recommended.

Exam information

There is no exam included with this course.

Optional extras

There are no optional extras for this course.

Pre-course

There are no pre-course requirements for this course.

FAQs

This Leading AI and ML Projects course provides an introduction to the planning, governance and delivery considerations associated with artificial intelligence and machine learning initiatives. It helps project managers understand the approaches and terminology commonly used within AI-focused projects.

Who should take this Leading AI and ML Projects course?

This course is designed for project managers who are responsible for leading or contributing to artificial intelligence and machine learning initiatives. Ideally, you should have a foundational understanding of project management before starting the course.

Do I need an AI background to attend?

Existing project management knowledge would be helpful, but previous experience developing AI or machine learning systems is not required.

How are AI projects different from traditional software projects?

This course explores the unique characteristics of AI and machine learning initiatives, including data requirements, model development considerations, uncertainty in outcomes and AI-specific risks that can affect project planning and delivery.

Will I learn about AI project risks?

Yes. Risk management forms part of the syllabus and covers identifying, assessing and mitigating risks associated with AI and machine learning projects.

Does the course cover MLOps?

Yes. MLOps principles are included within the course content and are explored in the context of planning, delivery and governance of AI and machine learning initiatives.

What our customers say

"Great experience with Steve and TSG. Steve is a great teacher, his ability to put real world scenarios to every point really allows the course to be understood in detail."

Samuel Bryant, TSG Learner

"Good, experienced teacher, well balanced and clear course."

Jacky Droushoudt, TSG Learner

Why study with TSG?

25+ years' experience

Trusted by individuals, businesses and public sector organisations for over 25 years.

20,000+ learners trained

Join a network of learners focused on developing their software testing skills

98% customer satisfaction

TSG trainers are frequently rated as ‘good’ or ‘excellent’ by our learners

Speak to our team

Guidance from experienced advisors

If you’re unsure which course aligns with your technical requirements or career direction, we’ll help you assess your options and choose with confidence.

Get in touch

Build capability

Develop skills that support real delivery outcomes

From software testing to broader digital skills, we work with you to design learning that strengthens capability, improves performance, and supports long-term business goals.

Get in touch