
2/28/2026
AI Product Analytics for Product Managers
Learn what to monitor in AI and agentic products, from task success and evals to latency, cost, safety, and how AI is changing product analytics.
AI Safety is no longer a niche topic for product teams. On PMC, this page pulls together 28 courses, 1 relevant articles, and 4 instructors connected to ai safety so you can evaluate the space from multiple angles. Instead of treating the topic as a standalone buzzword, this hub shows how ai safety appears across General Product Management, AI Product Management, and Product Analytics, where it is positioned as a primary learning goal, and which instructors and providers are most active around it. Use the courses below to compare structured learning options, then branch into the linked editorial pieces and instructor pages to understand how the theme shows up in practice.
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Advanced AI Agents
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Agentic AI
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AI Agents Specialization
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Develop AI fluency for organizational impact while staying true to mission

Learn to collaborate with AI systems effectively, efficiently, ethically, and safely

Master AI PM skills with hands-on projects and expert guidance

Learn AI product management from OpenAI's product leader with real-world applications

Learn to build and manage AI products with hands-on projects and industry mentorship

Master AI integration for enhanced product leadership and team management

Master GenAI tools and techniques for practical applications

Design better A/B tests to minimize insignificant results

Apply data analysis skills to create compelling product proposals through real-world cases

Learn storytelling and dashboard design with Tableau

Essential project management skills for digital product development
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Driving 0 to 1 Product Initiatives
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Maximize success for new product initiatives through customer discovery and experimentation
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Generative AI Strategic Leader
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Human-centered Design for AI
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Design AI solutions with practical, research-driven methodologies

Uncover and prioritize assumptions to de-risk product decisions
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Mastering AI Product Strategy
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Transform ideas into successful AI products with proven frameworks
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Microsoft AI Agents Professional Certificate
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ML Foundations for Product Leaders
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Master ML foundations for AI-led product teams
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Product Launch
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Master the complete product launch process from planning to post-launch analysis

Enhance value creation through discovery and validation techniques
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Rapid Prototyping
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Learn efficient prototyping techniques to validate product ideas quickly

Launch AI products with practical frameworks and tools

Master UX design skills with hands-on projects led by industry leaders3
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UX Designer Nanodegree Program
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Learn UX design principles and create user-centered designs

Practical UX research skills for PMs to drive user-centered decisions with limited resources

2/28/2026
Learn what to monitor in AI and agentic products, from task success and evals to latency, cost, safety, and how AI is changing product analytics.
Course Instructor
Explore Udacity's ai safety teaching footprint.
Udacity teaches product management courses featured on Product Manager Courses.
Course Instructor
Explore Anthropic's ai safety teaching footprint.
Anthropic teaches product management courses featured on Product Manager Courses.
Course Instructor
Explore Amit Badlani's ai safety teaching footprint.
Amit Badlani teaches product management courses featured on Product Manager Courses.
Course Instructor
Explore BrainStation's ai safety teaching footprint.
BrainStation teaches product management courses featured on Product Manager Courses.
The strongest ai safety course for you depends on whether you want strategic context, hands-on execution, or a broader PM foundation. Start by checking which courses make ai safety the primary tag, then compare how each provider frames the topic across General Product Management, AI Product Management, and Product Analytics. If you are still exploring, choose an all-level or foundation-style option first. If you already work with the topic, prioritize courses that go deeper into workflows, evaluation, analytics, or implementation tradeoffs.
A AI Safety course is a program that teaches product managers how to apply ai safety concepts in their day-to-day work. Depending on the provider, that can include strategy, execution, tooling, workflows, analytics, or cross-functional delivery.
AI Safety courses are useful for product managers, PM leaders, growth practitioners, and adjacent operators who want to strengthen this skill area in a structured way. They are especially helpful when you need a faster path from theory to practical application.
Many ai safety courses are accessible to beginners, but the right fit depends on the provider, format, and level. Use the level and provider filters in the directory to narrow down options that match your starting point.
AI Safety courses stay focused on ai safety as the primary topic, while Workflows courses usually frame the problem from a neighboring angle. Comparing both can help you decide whether you need deep specialization or a broader adjacent skill set.