What you will learn in Generative AI for Product Managers Specialization Course
- GenAI product strategy development
- Prompt engineering for product requirements
- Ethical AI implementation frameworks
- LLM integration patterns (APIs, fine-tuning)
- AI product lifecycle management
Program Overview
GenAI Foundations for PMs
⏱️4 weeks
- Transformer architecture basics
- Cost/performance tradeoffs
- Vendor selection criteria
- Case Study: Notion AI implementation
GenAI Product Design
⏱️5 weeks
- User story generation with AI
- Prototyping with Midjourney/DALL-E
- Conversational UI best practices
- Hands-on: Build a feature spec using ChatGPT
Scaling GenAI Products
⏱️4 weeks
- Monitoring model drift
- Feedback loop design
- Compliance checklists
- Capstone: Go-to-market plan
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Job Outlook
- Explosive Demand:
- AI Product Manager roles up 300% since 2022
- 145K−250K salary range (Levels.fyi 2024)
- 68% of tech PM jobs now require GenAI knowledge
- Industry Adoption:
- Top sectors hiring:
- SaaS (85% implementing GenAI)
- FinTech (72%)
- Healthcare (65%)
- Top sectors hiring:
Specification: Generative AI for Product Managers Specialization
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FAQs
You’ll gain hands-on skills across:
- Gen AI foundations: Understand models for text, image, code, audio, and video.
- Prompt engineering: Apply techniques like chain-of-thought to optimize AI outputs.
- AI in product tasks: Use AI to create product concepts, roadmaps, and marketing content.
- Career acceleration: Leverage tools like ChatGPT, Gemini, Copilot, and DALL·E; learn ethical implementation and product lifecycle optimization.
Strengths:
- Highly rated—4.5/5 (226 reviews) to 4.6/5 (65+ reviews).
- Practical focus bridging product development with AI application.
- IBM-issued credential, shareable for professional recognition.
Limitations:
- Some learners note content can be somewhat dry and theoretical.
- Being Intermediate-level, it’s better for PMs looking to add AI fluency—not for deep technical AI model development.
- Ideal for current or aspiring product managers looking to integrate generative AI into their product lifecycle—from ideation through go-to-market.
- Completing the program earns an IBM-branded certificate, which is a valuable addition for resumes and LinkedIn. The credential validates your AI-integrated PM capabilities.