AI & Machine LearningIntermediateFor Leaders
AI for Product Leaders
Not for engineers. For leaders who need to make smart AI decisions, build AI products, and drive adoption across their organisation.
4.9 (34 reviews)280 enrolled2 weeks · 2 hrs/dayLive Online20 CPD hours
Your trainer
Dr. Sarah Chen
AI & ML Lead Trainer
$1,497$1,897
21% offNext session: 6 May 2026
Book & Pay- Live sessions · 2 hrs/day over 2 weeks
- AI strategy canvas & roadmap templates
- Build vs buy decision framework
- AI ethics & governance checklist
- 30-day post-course support with Dr. Sarah Chen
- Certificate of completion
Secure booking · 14-day cancellation policy
What You'll Learn
Separate AI hype from real business value - and communicate that clearly to stakeholders
Build and prioritise an AI product roadmap with confidence
Define the right build vs buy vs partner strategy for your AI features
Work effectively with data science and ML engineering teams
Design AI-powered user experiences that earn trust
Lead responsible AI adoption - risk, ethics, regulation, and governance
Create an org-wide AI strategy and get executive buy-in
Course Curriculum
1Understanding the AI Landscape
4hGenAI, LLMs, and ML - what leaders need to know
What AI can and cannot do (yet)
Competitive landscape: who is winning and why
Separating hype from durable value
2AI Product Strategy
4hIdentifying AI opportunities in your product
Build vs buy vs partner decision framework
AI product roadmapping and prioritisation
Defining success metrics for AI features
3Designing AI-Powered Experiences
4hUX principles for AI products
Designing for trust and explainability
Handling errors and hallucinations gracefully
Prompt design for product managers
4Leading AI Teams & Delivery
4hHow ML development differs from software development
Working with data scientists and ML engineers
Data strategy: what you need and how to get it
Hiring and structuring an AI product team
5Responsible AI & Organisational Adoption
4hAI ethics, bias, and fairness in practice
Regulatory landscape (EU AI Act, DPDPA, sector rules)
Getting executive buy-in for AI investment
Building an org-wide AI adoption playbook
Requirements
- No coding or ML background required
- Suitable for product managers, senior PMs, heads of product, CPOs, and business leaders
- Some exposure to digital product development is helpful
Your Trainer
Dr. Sarah Chen
AI & ML Lead Trainer
4.9 (312 reviews)2,400 students8 courses
Former Google AI researcher with 10+ years in machine learning. PhD in Computer Science from IIT Bombay. Has trained teams at Fortune 500 companies.
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