Tutorialsplanet NET Udemy - The Product Management for AI & Data Science Course 2023

1. 01 - Intro to Product Management for AI & Data/001 Introduction.mp490.26MB
2. 01 - Intro to Product Management for AI & Data/002 Course Overview.mp463.94MB
3. 01 - Intro to Product Management for AI & Data/003 Growing Importance of an AI & Data PM.mp467.95MB
4. 01 - Intro to Product Management for AI & Data/004 The Role of a Product Manager.mp414.46MB
5. 01 - Intro to Product Management for AI & Data/005 Differentiation of a PM in AI & Data.mp476.25MB
6. 01 - Intro to Product Management for AI & Data/006 Product Management vs. Project Management.mp412.09MB
7. 02 - Key Technological Concepts for AI & Data/001 A Product Manager as an Analytics Translator.mp411.38MB
8. 02 - Key Technological Concepts for AI & Data/002 Data Analysis vs. Data Science.mp48.94MB
9. 02 - Key Technological Concepts for AI & Data/003 A Traditional Algorithm vs. AI.mp4129.37MB
10. 02 - Key Technological Concepts for AI & Data/004 Explaining Machine Learning.mp4134.19MB
11. 02 - Key Technological Concepts for AI & Data/005 Explaining Deep Learning.mp415.79MB
12. 02 - Key Technological Concepts for AI & Data/006 When to use Machine Learning vs. Deep Learning.mp417.98MB
13. 02 - Key Technological Concepts for AI & Data/007 Supervised, Unsupervised, & Reinforcement Learning.mp414.86MB
14. 03 - Business Strategy for AI & Data/001 AI Business Model Innovations.mp414.32MB
15. 03 - Business Strategy for AI & Data/002 When to Use AI.mp411.71MB
16. 03 - Business Strategy for AI & Data/003 SWOT Analysis.mp410.54MB
17. 03 - Business Strategy for AI & Data/004 Building a Hypothesis.mp412.48MB
18. 03 - Business Strategy for AI & Data/005 Testing a Hypothesis.mp411.28MB
19. 03 - Business Strategy for AI & Data/006 AI Business Canvas.mp418.09MB
20. 04 - User Experience for AI & Data/001 User Experience for Data & AI.mp411.91MB
21. 04 - User Experience for AI & Data/002 Getting to the Core Problem.mp419.15MB
22. 04 - User Experience for AI & Data/003 User Research Methods.mp419.62MB
23. 04 - User Experience for AI & Data/004 Developing User Personas.mp412.91MB
24. 04 - User Experience for AI & Data/005 Prototyping with AI.mp413.19MB
25. 05 - Data Management for AI & Data/001 Data Growth Strategy.mp424.75MB
26. 05 - Data Management for AI & Data/002 Open Data.mp48.74MB
27. 05 - Data Management for AI & Data/003 Company Data.mp49.55MB
28. 05 - Data Management for AI & Data/004 Crowdsourcing Labeled Data.mp420.24MB
29. 05 - Data Management for AI & Data/005 New Feature Data.mp412.72MB
30. 05 - Data Management for AI & Data/006 AcquisitionPurchase Data Collection.mp410.36MB
31. 05 - Data Management for AI & Data/007 Databases, Data Warehouses, & Data Lakes.mp411.63MB
32. 06 - Product Development for AI & Data/001 AI Flywheel Effect.mp414.71MB
33. 06 - Product Development for AI & Data/002 Top & Bottom Problem Solving.mp49.76MB
34. 06 - Product Development for AI & Data/003 Product Ideation Techniques.mp419.61MB
35. 06 - Product Development for AI & Data/004 Complexity vs. Benefit Prioritization.mp417.31MB
36. 06 - Product Development for AI & Data/005 MVPs & MVDs (Minimum Viable Data).mp425.35MB
37. 06 - Product Development for AI & Data/006 Agile & Data Kanban.mp414.64MB
38. 07 - Building The Model/001 Who Should Buid Your Model.mp414.96MB
39. 07 - Building The Model/002 Enterpise AI.mp413.27MB
40. 07 - Building The Model/003 Machine Learning as a Service (MLaaS).mp413.57MB
41. 07 - Building The Model/004 In-House AI & The Machine Learning Lifecycle.mp410.2MB
42. 07 - Building The Model/005 Timelines & Diminishing Returns.mp414MB
43. 07 - Building The Model/006 Setting a Model Performance Metric.mp414.05MB
44. 08 - Evaluating Performance/001 Dividing Test Data.mp411.96MB
45. 08 - Evaluating Performance/002 The Confusion Matrix.mp414.24MB
46. 08 - Evaluating Performance/003 Precision, Recall & F1 Score.mp417.04MB
47. 08 - Evaluating Performance/004 Optimizing for Experience.mp418.09MB
48. 08 - Evaluating Performance/005 Error Recovery.mp410.37MB
49. 09 - Deployment & Continuous Improvement/001 Model Deployment Methods.mp415.72MB
50. 09 - Deployment & Continuous Improvement/002 Monitoring Models.mp412.53MB
51. 09 - Deployment & Continuous Improvement/003 Selecting a Feedback Metric.mp410.86MB
52. 09 - Deployment & Continuous Improvement/004 User Feedback Loops.mp410.46MB
53. 09 - Deployment & Continuous Improvement/005 Shadow Deployments.mp49.02MB
54. 10 - Managing Data Science & AI Teams/001 AI Hierarchy of Needs.mp413.42MB
55. 10 - Managing Data Science & AI Teams/002 AI Within an Organization.mp412.38MB
56. 10 - Managing Data Science & AI Teams/003 Roles in AI & Data Teams.mp413.78MB
57. 10 - Managing Data Science & AI Teams/004 Managing Team Workflow.mp49.42MB
58. 10 - Managing Data Science & AI Teams/005 Dual & Triple-Track Agile.mp411.96MB
59. 11 - Communication/001 Internal Stakeholder Management.mp414.49MB
60. 11 - Communication/002 Setting Data Expectations.mp413.79MB
61. 11 - Communication/003 Active Listening & Communication.mp412.56MB
62. 11 - Communication/004 Compelling Presentations with Storytelling.mp412.44MB
63. 11 - Communication/005 Running Effective Meetings.mp413.78MB
64. 12 - Ethics, Privacy, & Bias/001 AI User Concerns.mp410.39MB
65. 12 - Ethics, Privacy, & Bias/002 Bad Actors & Security.mp414.51MB
66. 12 - Ethics, Privacy, & Bias/003 AI Amplifying Human Bias.mp416.57MB
67. 12 - Ethics, Privacy, & Bias/004 Data Laws & Regulations.mp410.79MB