Leland+ for AI Product Management
Vibe Coding Effectively as Product Managers - BYU Student Edition
Who is this for? 1) Students trying to break into PM in the AI world 2) Former/Current PMs looking to upskill What will be covered? Pre-requisites before you start Vibe Coding You will learn elements of 1st principles product thinking that are necessary before you start vibe coding How to Vibe Code Learn and Vibe code along with us leveraging one of the many powerful AI Tools available today as part of the session Vibe Coding During Interviews How to handle vibe coding questions as part of PM interviews and how to vibe code during a PM Interview
The Trusted AI PM: Build Products That Win Trust & Career Influence
The Trusted AI PM: Build Products That Win User Confidence and Career Influence The final masterclass explores how trust, transparency, and ethics make or break AI products - and careers. Through real-world stories and the 4 Pillars of Responsible AI, discover how PMs balance innovation with integrity to become trusted leaders inside their organizations. Learning Objectives Apply the 4 Pillars of AI Risk to any product. Conduct a mini bias audit for any AI feature. Design feedback loops that reinforce trust and fairness across releases.
The AI PM Superpower: Bridge Product Vision and Technical Reality
The AI PM Superpower: Bridge Product Vision and Technical Reality This flagship masterclass reveals the mindset and tools that make AI Product Managers indispensable - the ability to bridge product, data, and engineering. Through the BRIDGE Framework™, you’ll see how PMs turn business goals into learning systems and collaborate confidently with AI teams. Learning Objectives Apply the BRIDGE Framework™ to move from Product Vision → Data → Delivery. Communicate effectively with engineers and data scientists - even without coding. Recognize the top 3 reasons AI projects fail and how PMs can prevent them.
Building AI Products by Bridging Product and Tech Gaps
Building AI products isn’t just about clever models. It’s about running smarter experiments. In this lightning talk, coach Avinash M. (Ex-Amazon PM leader , Ex-RBC AI PM Leader) shares hard-earned lessons from the product experimentation lifecycle. From structuring experiments to choosing the right metrics, they’ll show how cross-functional teams can avoid common traps and drive real outcomes. Apply proven frameworks to design experiments that produce measurable results Spot and fix experimentation pitfalls using proven frameworks while leveraging prototypes of dashboards to effectively communicate metrics for visualization Balance deep analysis with bias for action, knowing when to dig in or move fast Whether you’re working on AI products or not, mastering experimentation is the path to building market-leading products. This session gives you the playbook to align product and engineering and deliver outcomes that matter.
AMA with Former AI Product at Amazon and RBC
Curious about what it takes to break into AI product management—or how to grow your career in the rapidly evolving world of AI? In this AMA session, you’ll have the chance to hear directly from Avinash M., a Leland coach and former AI Product Lead at the Royal Bank of Canada. Avinash will share his journey leading AI initiatives at scale, what companies are really looking for in AI PMs, and how you can build the skills and experiences that set you apart. He’ll also take your questions on everything from landing interviews to navigating technical conversations as a PM. Whether you’re early in your career or looking to pivot into AI, this is your chance to learn from someone who’s been at the forefront of the field.
