AI-ProductManager

AI Product Manager

Boost your Career with AI Product Manager Programme

Join our AI Product Manager Program, a focused 3-month course designed to equip you with the skills to lead AI-driven products from concept to launch. Gain hands-on experience in managing cross-functional teams, understanding AI technologies, and aligning product strategy with business goals. Position yourself as a top candidate for high-impact roles in today’s AI-powered economy.

400 + Learners 4.5+ rATING 80% completion

JOIN THE NEXT COHORT FOR 2025

September Cohort

Start Date: Sept 1, 2025

Virtual
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October Cohort

Start Date: Oct 6, 2025

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November Cohort

Start Date: Nov 3, 2025

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December Cohort

Start Date: Dec 1, 2025

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Course Overview

AI Product Managers play a critical role in bridging the gap between technical teams and business objectives. This course provides a comprehensive foundation in AI technologies, product strategy, and user-centered design. You’ll explore core concepts such as machine learning, natural language processing, and generative AI, while also learning how to define AI product roadmaps, evaluate feasibility, manage ethical considerations, and lead cross-functional teams. By the end of the program, you’ll have a clear understanding of how to deliver AI-powered solutions that align with market needs, drive innovation, and add measurable business value.

2000+

Delegates Trained

80%

Completion Rate

4.7+

About the AI Product Manager

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Becoming an AI Product Manager puts you at the intersection of cutting-edge technology and strategic innovation, enabling you to lead the development of AI-powered products that transform industries and improve lives. This high-impact role is in growing demand across sectors such as finance, healthcare, e-commerce, and enterprise software—offering exceptional opportunities in today’s AI-driven world.

The AI Product Manager Job Focus Program is designed to equip aspiring professionals with the critical skills needed to lead AI initiatives from concept to launch. Whether you're transitioning from a product, business, or technical background, this program will guide you to a confident, job-ready level. You’ll learn how to collaborate effectively with data scientists and engineers, define AI product roadmaps, manage cross-functional teams, and align technical capabilities with business goals.

Throughout the program, you'll gain hands-on experience in areas such as data strategy, model evaluation, ethical AI deployment, and integrating AI into product lifecycles. You'll explore tools like Python for product prototyping, understand how to work with LLMs and APIs, and apply frameworks for managing AI product development cycles.

By the end of the course, you will be able to identify AI opportunities, drive product-market fit, and deliver solutions that are not only innovative but responsible and scalable. With tailored mentorship and career coaching, you’ll be positioned to step confidently into high-impact roles as an AI Product Manager—ready to shape the future of intelligent products.

Suitable for:

Data Analysts, Data Scientists, and Software Developers transitioning to AI.

STEM graduates and professionals seeking a hands-on AI career

Technical Professionals from other domains pivoting to AI

Freelancers and consultants wanting to expand their service offering into AI.

This programme is designed to ensure you are job-ready from day one. You will gain the technical depth, practical experience, and confidence required to step directly into an AI Product Manager role — no filler, just focused, industry-backed preparation.

Key Metrics about AI Product Manager

Global Demand

30%

AI Product Management—including strategy, lifecycle ownership, and cross-functional coordination—accounts for an estimated 25–30% of the total AI market value, highlighting its pivotal role in defining, delivering, and scaling impactful AI solutions.

In-Demand Roles:

AI Product Manager,Senior Product Manager, Lead Product Manager , AI Researcher, Platform Product Manager and Principal Product Manager.

Global AI Market Size

Est. at $300+ billion

Global Demand

AI Product Management accounts for approximately 25–30% of the total AI market value, underscoring its strategic role in shaping, guiding, and delivering AI-driven solutions that align with user needs and business objectives.

Median Salary

US: $151K–$229K UK: £165,000–£295,000

Senior roles can reach $400,000+ with stock options and bonuses.

Demand & Job Openings

As AI agents and autonomous systems grow, product managers are becoming increasingly critical. Microsoft’s CTO emphasized PMs as domain experts who design feedback loops for intelligent agents, implying rising strategic demand for the role in future AI ecosystems businessinsider.com.
High-profile job listings reflect real demand: e.g., Principal Product Manager - Multimodal & Vision AI at Zillow is offering USD 187K–298K, and Principal PM at Splunk lists USD 145K–249K

AI Product Manager

Foundations of AI & Machine Learning

Discover the essentials of AI and Machine Learning — two of the most transformative technologies shaping our future. This introductory course explores key concepts such as algorithms, data processing, model training, and evaluation techniques, equipping you with the foundational knowledge to develop intelligent systems and innovative solutions.

Product Management Fundamentals

Acquire a solid grasp of product management principles, including the product lifecycle, market research, and user experience design. Explore essential tools and techniques for effective product development and strategy. This course provides a comprehensive foundation for managing successful products in today’s competitive landscape.

Designing for AI Products

Discover the principles of designing for AI products in this comprehensive course. You'll learn how to create user-centered designs that effectively integrate artificial intelligence, focusing on usability, accessibility, and ethical considerations. Ideal for designers and product managers, this course will equip you with the skills to develop innovative AI solutions that enhance user experience and drive engagement.

AI Strategy, Ethics & Responsible AI

Delve into the principles of AI strategy, ethics, and responsible AI practices. This course covers the foundational concepts of ethical AI development, including fairness, accountability, and transparency. Learn how to create AI strategies that align with organizational values and societal norms, ensuring that AI technologies are implemented responsibly and sustainably.

Business Case Development & Stakeholder Engagement

Explore the fundamentals of business case development and the importance of stakeholder engagement. This course covers techniques for identifying key stakeholders, gathering requirements, and crafting compelling business cases that drive decision-making. Gain practical skills to effectively communicate and align stakeholder interests with organizational goals.

Agile Delivery, MLOps & Product Lifecycle

Explore the principles of Agile Delivery, MLOps, and the product lifecycle. Understand how to implement Agile methodologies to enhance project efficiency and adaptability. Learn the integration of MLOps practices to streamline machine learning workflows and ensure continuous delivery. Gain insights into managing the product lifecycle from conception to deployment, focusing on collaboration and iterative improvement.

Data Literacy for AI Product Mangers

Enhance your data literacy to effectively manage AI products. Understand the fundamentals of data analysis, interpretation, and visualization. Develop skills to assess data quality and relevance, enabling informed decision-making. Leverage data-driven insights to guide product development and strategy, ensuring alignment with user needs and market trends.

This programme is designed to ensure you are job-ready from day one. You will gain the technical depth, practical experience, and confidence required to step directly into an AI Product Manager role — no filler, just focused, industry-backed preparation

Learning Outcome

Upon successful completion of this programme, you will be able to demonstrate advanced skills and experience in developing and deploying Products for showcasing to hiring managers and impressing employers:

Translate business problems into AI product strategies with measurable outcomes

Define, scope, and manage AI product roadmaps using tools like Jira, Confluence, and Figma

Communicate effectively with data science and engineering teams using foundational ML knowledge

Prototype and integrate AI solutions using LangChain, GPT APIs, and cloud AI platforms

Apply Agile delivery and MLOps awareness to ship AI products faster and smarter

Interpret data using tools like Tableau, Power BI, and SQL to inform product decisions

Understand ethical, regulatory, and governance issues in AI product development

Prepare for roles such as AI Product Manager, Technical Product Owner, or AI Strategy Lead

Introduction to Analytics

This course will introduce you to the world of Big Data and Analytics, showing you the entire Ecosystem in the Big Data World

Business Analytics with Excel

Participants will gain proficiency in using Excel for data analysis and reporting. The course will cover advanced Excel functions, data manipulation, and the creation of dynamic reports and dashboards to support business decision-making

Developing Queries with Microsoft SQL

This course will teach delegates how to write and optimize SQL queries to extract and manipulate data from relational databases. Participants will learn about database structures, query syntax, and best practices for efficient data retrieval

Data Analysis and Visualization with PowerBI

Attendees will learn how to use PowerBI to transform raw data into insightful visualizations and interactive dashboards. The course will cover data import, cleaning, modeling, and the creation of various types of visual reports to communicate data effectively. .

Introduction to Descriptive and inferential Statistics

Delegates will explore the basics of statistical analysis, including descriptive statistics to summarize data and inferential statistics to draw conclusions and make predictions. The course will cover key concepts such as probability, hypothesis testing, and regression analysis.

Introduction to Python Programming

Participants will be introduced to Python programming for data analysis. The course will cover fundamental programming concepts, data structures, and libraries such as Pandas and NumPy, enabling delegates to perform data manipulation and analysis efficiently

Storytelling with Powerpoint

This course will teach delegates how to effectively communicate data insights through compelling presentations. Participants will learn techniques for designing clear and engaging slides, structuring narratives, and using visual aids to support their stories

Collateral Development and Management Reporting with Powerpoint

Capstone Projects

Delegates will be given a minimum of two industry work Experience projects

Introduction to Analytics

This course will introduce you to the world of Big Data and Analytics, showing you the entire Ecosystem in the Big Data World