| Bonus Resources.txt | 102.4 B | ||
| Get Bonus Downloads Here.url | 204.8 B | ||
| ~Get Your Files Here ! | |||
| 1 - What Makes AI Products Different (Day 1 - Part 1) | |||
| 1. Traditional Software vs. AI Products.mp4 | 51.8 MB | ||
| 10 - Evaluation Metrics (Day 2 - Part 4) | |||
| 11 - AI Product Prototyping (Day 2 - Part 5) | |||
| 12 - Day 2 Hands-On Exercises | |||
| 13 - Building AI Product Roadmaps (Day 3 - Part 1) | |||
| 14 - AI Product Development Process (Day 3 - Part 2) | |||
| 15 - AI Governance & Responsible AI (Day 3 - Part 3) | |||
| 16 - AI Product Economics (Day 3 - Part 4) | |||
| 17 - Launching AI Products (Day 3 - Part 5) | |||
| 18 - Day 3 Hands-On Exercises | |||
| 2 - AI Product Landscape (Day 1 - Part 2) | |||
| 3 - Identifying AI Opportunities (Day 1 - Part 3) | |||
| 10. AI Opportunity Framework.mp4 | 58.6 MB | ||
| 11. Evaluating Business Value.mp4 | 54.5 MB | ||
| 12. Identifying High-Impact Use Cases.mp4 | 64.9 MB | ||
| 4 - Problem Framing for AI (Day 1 - Part 4) | |||
| 13. Turning Problems into AI Tasks.mp4 | 55.4 MB | ||
| 14. Classification vs. Prediction vs. Generation.mp4 | 52.3 MB | ||
| 15. Data Availability Considerations.mp4 | 61.1 MB | ||
| 16. Feasibility vs. Value.mp4 | 56.8 MB | ||
| 5 - AI Product Discovery Process (Day 1 - Part 5) | |||
| 17. User Research for AI Products.mp4 | 58.2 MB | ||
| 18. Understanding Workflows.mp4 | 62 MB | ||
| 19. AI Product Ideation Frameworks.mp4 | 61.7 MB | ||
| 20. Opportunity Prioritization.mp4 | 57.4 MB | ||
| 6 - Day 1 Hands-On Exercises | |||
| 21. Exercise 1 — AI Opportunity Mapping.html | 16.4 KB | ||
| 22. Exercise 2 — Problem Framing Workshop.html | 13.6 KB | ||
| 23. Exercise 3 — AI Product Idea Pitch.html | 12.2 KB | ||
| 7 - AI Product Architecture (Day 2 - Part 1) | |||
| 24. Data Layer.mp4 | 58 MB | ||
| 25. Model Layer.mp4 | 43.2 MB | ||
| 26. Application Layer.mp4 | 52.9 MB | ||
| 27. User Interface.mp4 | 45.6 MB | ||
| 8 - AI UX Design (Day 2 - Part 2) | |||
| 28. Designing for Uncertainty.mp4 | 54.5 MB | ||
| 29. Confidence Indicators.mp4 | 49.1 MB | ||
| 30. Explainability.mp4 | 58.9 MB | ||
| 31. Human Override.mp4 | 61.4 MB | ||
| 9 - Data Strategy for AI Products (Day 2 - Part 3) | |||
| 32. Data Collection.mp4 | 56.8 MB | ||
| 33. Labeling.mp4 | 48.8 MB | ||
| 34. Synthetic Data.mp4 | 55.9 MB | ||
| 35. Privacy Considerations.mp4 | 57.2 MB | ||
| 9. Automation vs. Augmentation.mp4 | 64 MB | ||
| 5. AI Application Stack.mp4 | 55 MB | ||
| 6. Foundation Models.mp4 | 58.9 MB | ||
| 7. AI Platforms.mp4 | 61.1 MB | ||
| 8. Build vs. Buy Decisions.mp4 | 66.7 MB | ||
| 62. Exercise 7 — AI Product Roadmap.html | 12.8 KB | ||
| 63. Exercise 8 — AI Risk Assessment.html | 11.6 KB | ||
| 64. Exercise 9 — Capstone Project.html | 11.7 KB | ||
| 59. Go-to-Market Strategies.mp4 | 54.6 MB | ||
| 60. AI Product Positioning.mp4 | 53.9 MB | ||
| 61. User Adoption Strategies.mp4 | 46.9 MB | ||
| 56. Compute Costs.mp4 | 56.3 MB | ||
| 57. Inference Costs.mp4 | 49.2 MB | ||
| 58. Pricing AI Products.mp4 | 50.9 MB | ||
| 52. Bias.mp4 | 54.8 MB | ||
| 53. Fairness.mp4 | 57.1 MB | ||
| 54. Transparency.mp4 | 54.5 MB | ||
| 55. Risk Management.mp4 | 60.7 MB | ||
| 49. Collaboration with ML Engineers.mp4 | 55.5 MB | ||
| 50. Model Training Lifecycle.mp4 | 53.5 MB | ||
| 51. Deployment Pipelines.mp4 | 52 MB | ||
| 46. AI Product Lifecycle.mp4 | 53 MB | ||
| 47. Experimentation Cycles.mp4 | 53.3 MB | ||
| 48. Iteration Strategies.mp4 | 52.2 MB | ||
| 43. Exercise 4 — AI Product Architecture Design.html | 13.1 KB | ||
| 44. Exercise 5 — AI UX Design.html | 12.7 KB | ||
| 45. Exercise 6 — Evaluation Metrics Design.html | 12.2 KB | ||
| 40. Rapid Prototyping.mp4 | 59.5 MB | ||
| 41. No-Code AI Tools.mp4 | 51.3 MB | ||
| 42. AI MVP Development.mp4 | 48.2 MB | ||
| 36. Model Metrics.mp4 | 51.5 MB | ||
| 37. Product Metrics.mp4 | 51.4 MB | ||
| 38. Business Metrics.mp4 | 59.1 MB | ||
| 39. Offline vs. Online Evaluation.mp4 | 47.9 MB | ||
| 2. Probabilistic Systems.mp4 | 60.9 MB | ||
| 3. Model Limitations and Uncertainty.mp4 | 54.8 MB | ||
| 4. Human-in-the-Loop Systems.mp4 | 57.6 MB |
3-Day AI Product Management Bootcamp
https://WebToolTip.com
Published 3/2026
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 6h 26m | Size: 2.97 GB
Design, Build, and Launch AI-Powered Products
What you'll learn
Identify and evaluate high-impact AI opportunities by analyzing business problems, user workflows, and potential automation or augmentation use cases.
Translate business challenges into AI solutions by framing problems as machine learning tasks such as classification, prediction, or generative AI applications.
Design complete AI product architectures, including data sources, models, APIs, and user interfaces required to build scalable AI-powered systems.
Create effective AI user experiences (AI UX) that incorporate explainability, confidence indicators, and human-in-the-loop decision workflows.
Define and measure AI product success using model metrics, product performance indicators, and business impact metrics.
Develop a portfolio-ready AI product plan, including product concept, architecture, evaluation framework, roadmap, and risk mitigation strategy.
Requirements
Basic understanding of business or product concepts (helpful but not required).
Interest in AI, machine learning, and emerging technologies. No prior AI expertise is necessary.
Familiarity with digital products or software tools such as web apps, SaaS platforms, or mobile apps.
A computer with internet access to participate in exercises and explore AI tools.
Willingness to think strategically and solve real business problems using AI.
No coding experience required, although technical familiarity can be helpful for understanding AI architectures.
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| 516.3 MB | freecoursewb | 11 hours | 0 | 0 | |
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| 2.1 GB | freecoursewb | 2 weeks | 20 | 11 | |
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Udemy - Masters in IEC 60076-3 and IEC 60076-4 for Power Transformer Posted by
freecoursewb in Other
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| 3.6 GB | freecoursewb | 3 weeks | 0 | 0 |
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