GenAI Product Builder @Google, ex-Meta
Reliability Eng at Anthropic, ex-OpenAI
8 people enrolled last week.
Dr. Marily Nika is a leading AI educator with 12+ years launching AI products at Google and Meta. She founded AI Product Academy to formalize the AI PM field and train the next generation of PMs.
💡 𝗔𝗕𝗢𝗨𝗧 𝗧𝗛𝗘 𝗖𝗢𝗨𝗥𝗦𝗘
This immersive course is for experienced professionals that want to deepen their knowledge in AI/ML and prepare to staff and lead AI product teams.
Via a series of guest speakers you'll learn how to run teams that integrate AI into your product strategy, work with Eng / ML ops teams and how to navigate the ethical and regulatory issues surrounding AI.
Every cohort has a different lineup of guest speakers that include:
VP at Microsoft
Engineer at Anthropic
Sr Gen AI ML Scientist at Amazon Alexa
Founder of AI startup
SVP of Eng at AI Big Pharma
📚 𝗧𝗛𝗜𝗦 𝗜𝗦 𝗢𝗡𝗟𝗬 𝗧𝗛𝗘 𝗕𝗘𝗚𝗜𝗡𝗡𝗜𝗡𝗚
If this course feels too advanced, we recommend Marily's 101 course that teaches professionals how to ship AI products with 0 coding skills and how to master the AI product development lifecycle.
The Advanced AI PM course represents phase 2 of Marily's 6-week AI Product Bootcamp and can be either taken on its own or as part of her 6-week Program. You can upgrade at any time.
#1 Advanced AI PM Course by Marily Nika. Learn from Silicon Valley AI leads from OpenAI, Google, Amazon & Microsoft & lead AI Product orgs.
Use simple frameworks to compare model options and choose the right solution.
Practice making trade offs using real product scenarios.
Build confidence in prioritizing constraints and user needs.
Understand foundation models, LLMs, and the components behind AI systems.
Learn how training, data, and evaluation shape model behavior.
Try hands-on exercises to train or tune simple models.
Learn how to explain AI concepts clearly to execs, teams, and stakeholders.
Build a point of view on emerging AI trends and user impact.
Practice articulating insights using real case studies.
Learn how AI teams operate and what’s needed to productionize ML systems.
Understand roles across engineering, research, and PM.
Use staffing templates to design team structures.
Apply strategic frameworks to integrate AI into product roadmaps.
Identify the highest leverage AI opportunities for your business.
Draft a lightweight AI strategy for a sample product.
Learn practical guidelines for responsible model behavior and data use.
Understand emerging regulations and how they affect product decisions.
Apply ethical checklists to real product examples.
Senior Product Leaders looking to transition to AI/ML within their own organization or in Big Tech / a smaller startup.
Senior Engineers looking to Pivot to AI/ML Product Management that need help on how to position themselves.
C-level professionals that are staffing AI Product orgs and want to learn how to make strategic tradeoffs and foster an AI-first culture.
Live sessions
Learn directly from your instructors in a real-time, interactive format.
Lifetime access
Go back to course content and recordings whenever you need to.
Community of peers
Stay accountable and share insights with like-minded professionals.
Certificate of completion
Share your new skills with your employer or on LinkedIn.
Maven Guarantee
This course is backed by the Maven Guarantee. Students are eligible for a full refund up until the halfway point of the course.
42 lessons • 2 projects
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Live sessions
2-4 hrs / week
Core learning will be delivered within the scheduled time however we do see Q&A run over time.
Thu, Dec 11
7:00 PM—8:00 PM (UTC)
Async content
1 hr / week

Manasi K

Stu M.

Stephen B.

Mihai C.

Hermanth S.

Jesse C.
Ethan Cole, President PMLA
Kurt Lozier, CEO of Somml Health
Tejas Iyer, AI/ML Platform PM, Yahoo
$749
USD
2 cohorts