Mastering Gen AI in Product Development Certificate — Product Led Hub
Product Management + AI Certificate
Mastering Gen AI in Product Development

Build the Future of
AI-Powered Products
That Convert

Transition into AI product management with hands-on training in LLMs, RAG, and GenAI strategy. Gain the skills tech companies are hiring for — fast. Hands-on insights and frameworks that bridge technical teams and business goals.

Enroll Your Team View Curriculum ↓
3
Modules
10+
Hours of Content
12+
Hours of Training
2–3
Weeks Duration
Live
Online Instructor-Led
⟳
Cohort Type
Part-Time
◈
Duration
2–3 Weeks
▲
Delivery
Live Online · Instructor-Led
⬡
Approach
Hands-On Frameworks
Become a Certified AI Product Manager

Comprehensive AI Product
Management — From Fundamentals
to Launch

Gain a comprehensive understanding of AI product management, covering key topics from AI fundamentals and development processes to strategy, metrics, and ethical considerations. This training equips you with the skills to manage AI-driven products, bridging the gap between technical teams and business goals for successful product outcomes.

■
Bridge the Gap Between Tech and Business
Most product managers struggle to communicate effectively with AI engineers. This program gives you the technical literacy to understand LLMs, RAG, and GenAI systems — and the strategic vocabulary to align them with business objectives and user outcomes.
◈
Hands-On from Day One
No passive slide decks. Every module is built around real AI product management challenges — you'll create an AI PRD, design metrics frameworks, and experiment with prompt engineering for generative AI — all with direct applicability to your current or next role.
▲
Skills Tech Companies Are Hiring For
The AI PM role is one of the fastest-growing in tech. This certificate is designed around the exact skills hiring managers look for — AI fundamentals, product development lifecycle, metrics, ethics, and the ability to manage GenAI features from ideation to release.
⬡
Expert-Led Live Sessions
Learn directly from practitioners who've built and shipped AI-powered products in production environments. Live online sessions allow you to ask questions, work through real scenarios, and build the judgment that no textbook can give you.
Course Curriculum

Three Modules.
Complete AI PM Coverage.

Module 1 // AI Product Management
Module 2 // Building AI Products
Module 3 // Generative AI in Product
// Module 1 of 3
AI Product Management
An introduction to the fundamentals of product management and core AI concepts — exploring how their convergence shapes the emerging hybrid role of the AI Product Manager.
L 01
Intro on AI Product Management
Introduction to the fundamentals of product management and core AI concepts, and how their convergence shapes the emerging hybrid AI Product Manager role.
L 02
AI Product Management Fundamentals, Role, Skills, Processes
Learn the fundamentals of AI product management — the role, essential skills, and core processes needed to successfully build and scale AI-driven solutions. Bridges the gap between technical teams and business goals.
L 03
What is AI: LLMs, Generative AI, Machine Learning, Copilot
Discover the world of AI — exploring key concepts like large language models (LLMs), generative AI, machine learning, and copilots. Understand how these technologies work and their transformative impact on products and industries.
L 04
Human Factors in AI
Explore the role of human factors in AI design, focusing on user interaction, ethics, and ensuring AI systems align with human needs. Learn how to create AI solutions that are intuitive, accessible, and ethically sound.
L 05
The AI PM Role and Skillset
Explore the role of an AI Product Manager and the essential skillset needed to succeed — technical literacy, strategic thinking, and stakeholder collaboration. Learn to bridge AI technologies and business objectives.
L 06
Key AI Metrics & Technical Concepts
Learn the key metrics and technical concepts essential for evaluating and managing AI products — model performance, data quality, and metrics that align AI outcomes with business goals.
// Module 2 of 3
Building AI-Powered Products
Go through the full process of building AI products — including requirements, technologies, metrics, and final releases. From lifecycle management to creating your own AI PRD.
L 07
The AI Product Development Lifecycle
Understand the AI product development lifecycle, from ideation and data collection to deployment and iteration. Learn the unique challenges and best practices for building successful AI-powered products.
L 08
AI Metrics & Strategy
Discover how to define and align AI metrics with business strategy to drive impactful outcomes. Learn to measure success, optimise performance, and create value with AI-powered products.
L 09
AI Agents
Explore the concept of AI agents, their capabilities, and how they interact with users and environments. Understand their role in building intelligent, autonomous systems for diverse applications.
L 10
Copilot and Product Usages
Learn how AI copilots enhance user experiences and product functionality. Explore their applications, design considerations, and strategies for seamless integration into products.
L 11
Create Your Own AI PRD
Learn how to create a comprehensive AI Product Requirements Document (PRD) — outlining key features, technical specifications, and business goals. Develop the skills to define and communicate AI product vision and strategy effectively.
// Module 3 of 3
Generative AI in Product Development
Go through the process of building AI products with a focus on generative AI — including requirements, technologies, metrics, prompt engineering, and final releases.
L 12
Dive into Generative AI
Explore the transformative world of generative AI — how it creates new content from text and images to music and code. Understand its applications, potential, and impact across industries.
L 13
Generative AI vs Discriminative AI
Understand the differences between generative and discriminative AI models, focusing on their unique approaches to data processing and decision-making. Learn when and how to apply each for optimal results in AI product development.
L 14
Common Generative AI Models
Explore the most common generative AI models — GANs, VAEs, and large language models (LLMs). Learn how these models generate content and their applications across various industries.
L 15
Testing and Experimenting for your MVP
Learn how to test and experiment effectively to refine your AI product's Minimum Viable Product. Focus on iterative validation, user feedback, and data-driven decision-making to ensure your MVP meets key objectives.
L 16
Prompt Engineering for Generative AI
Master the art of prompt engineering for generative AI to optimise model responses and achieve desired outcomes. Learn how to craft effective prompts that guide AI models in generating high-quality content.
L 17
Pre-trained Models and Their Capabilities
Discover the power of pre-trained models and their ability to perform a wide range of tasks with minimal customisation. Learn about their capabilities, benefits, and how to leverage them for AI product development.
Strategic AI Product Management Training

Equip Teams to Design,
Manage, and Scale
AI-Powered Products

This comprehensive program equips product, business, and technical teams with the skills to design, manage, and scale AI-powered products — bridging the gap between innovation and execution. Through real-world use cases and expert-led sessions, participants will gain a deep understanding of AI fundamentals, product strategy, development lifecycles, and emerging technologies like LLMs, Generative AI, and AI Agents.

Enroll Your Team →
Build skills to lead and launch AI-powered products
  • Navigate the full AI product lifecycle — from core AI concepts to deployment
  • Apply ethical design principles to AI product decisions
  • Master prompt engineering for generative AI features
  • Build and iterate on AI product MVPs with confidence
  • Create comprehensive AI Product Requirements Documents (PRDs)
  • Align cutting-edge technology with real user and business needs
  • Understand AI agents, copilots, and their product applications
  • Define and track AI-specific metrics that drive product success
Program Design

How This Certificate
Is Built

⌥
Expert-Led Live Training
Every session is delivered live online by practitioners who've built and shipped AI-powered products — not pre-recorded videos. Ask questions, work through scenarios, and build real judgment.
◈
Hands-On Frameworks
You'll apply what you learn through real AI PM deliverables — metrics frameworks, AI PRDs, prompt engineering exercises, and MVP experimentation plans you can take straight into your work.
▲
Technical Literacy for PMs
Designed specifically for product professionals — not engineers. You'll gain enough technical understanding of LLMs, RAG, and GenAI to work effectively with AI engineering teams without needing to write code.
⟳
Flexible Part-Time Format
Designed for working product professionals. The 2–3 week part-time schedule lets you earn your certificate without stepping away from your current role or team.
⬡
Ethics by Default
Human factors, ethics, and responsible AI design are woven throughout the curriculum — because AI PMs who ignore these considerations don't ship products that last.
⧫
Career-Ready Credential
The certificate signals to hiring managers that you can navigate the AI product lifecycle end-to-end. Part of the broader Product Led Hub credential stack — stackable with PM and engineering tracks.
Become a Certified Gen AI Expert

Explore Related
Certificate Programs

Stack your credentials — every Product Led Hub certificate builds on the last. Pair the GenAI PM certificate with engineering or product management tracks for the complete AI professional credential.

// Product Management
Product Management Certification Diploma
Everything your team needs to kickstart and grow a career in Product. Upskill, gain cross-functional skills, and advance your career.
Learn More →
// Full Stack GenAI
GEN AI Stack Certificate
Foundational and advanced training in building real-world GenAI applications — LLMs, RAG, KAG, semantic search, and production-ready deployment.
Learn More →
// Engineering Track · Level 1
GEN AI Foundations Certificate
Hands-on course equipping developers with the skills to build and deploy real-world GenAI applications using TypeScript, LLMs, and RAG.
Learn More →
// Engineering Track · Level 2
Advanced GEN AI Architecture Certificate
Scale GenAI systems with deep dives into KAG, semantic search, and prompt engineering. Productionise, monitor, and optimise AI solutions for enterprise use.
Learn More →
Get Certified

Your AI Product Career
Starts Here.

Whether you're a product manager breaking into AI, a business leader who needs to speak confidently with engineering teams, or a tech professional transitioning into product — this certificate gives you the frameworks, language, and credentials to do it.

Enroll Your Team