| 1 -AI Problem framing From User Need to AI Prediction Problem.mp4 | 104.5 MB | ||
| 1 -Lead Scoring with AI Product Canvas.mp4 | 102.1 MB | ||
| 1 -Why AI Changes Product Management.mp4 | 104.4 MB | ||
| 2 -Inventory Demand Forecasting with AI Product Canvas.mp4 | 87.8 MB | ||
| 2 -Problem-AI Fit Assessment (When Not to Use AI).mp4 | 91.3 MB | ||
| 2 -The AIML Lifecycle in Plain English — with Generative AI Examples.mp4 | 91.3 MB | ||
| 3 -AI Industry trends& Job Expectations- Generative AI, Agents, No-Code Prototyping.mp4 | 111.2 MB | ||
| 3 -AI Product Canvas Walkthrough.mp4 | 111.3 MB | ||
| 3 -Feature Adoption Prediction with AI Canvas.mp4 | 40.2 MB | ||
| 4 -Churn Prediction in AI Product Canvas (Case Study).mp4 | 99.7 MB | ||
| Bonus Resources.txt | 102.4 B | ||
| Get Bonus Downloads Here.url | 204.8 B |
AI for Product Management Bootcamp
https://WebToolTip.com
Published 9/2025
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 1h 23m | Size: 943 MB
Use the AI Canvas for applications from Health Tech to retail and fintech
What you'll learn
Learn how to use the AI Product Canvas
Apply AI Product Canvas to predictive an generative AI
Explore 25+ real-world AI use cases across industries—from chatbots and fraud detection to medical triage and AI-generated onboarding flows.
Identify AI opportunities using both predictive and generative AI tools across real-world product use cases.
Frame predictive and generative AI into product management opportunities
Define data strategy essentials, including sourcing, labeling, privacy, and quality management, using industry-ready templates and checklists.
Learn from cutting-edge examples including facial recognition bias, predictive maintenance for IoT, knowledge base automation, and regulatory pitfalls in health
Discover exotic and emerging AI applications, such as AI for scent profiling, synthetic patient generation, and robotic fashion advisors, to inspire innovation
Evaluate and prioritize AI features based on user needs, business impact, and technical feasibility.
Write AI-ready Product Requirement Documents (PRDs) that specify data, model, evaluation metrics, and ethical considerations.
Understand regulatory and privacy challenges (GDPR, HIPAA) and how to design compliant AI systems from the ground up.
Requirements
No previous experience needed
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| 1.4 GB | freecoursewb | 5 days | 0 | 0 | |
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