Udemy - PMI-CPMAI Certification Exam Prep Masterclass

seeders: 0
leechers: 0
Added 6 days ago by freecoursewb in Other

Download Fast Safe Anonymous
movies, software, shows...

Files

Udemy - PMI-CPMAI Certification Exam Prep Masterclass (Size: 681.2 MB)
  Get Bonus Downloads Here.url 204.8 B
  ~Get Your Files Here !
  1 - Responsible AI Foundations Privacy, Bias, and Governance.mp4 53.4 MB
  10 - Deployment Planning and Execution.mp4 47.6 MB
  11 - Production Governance, Monitoring, and Closing the Loop.mp4 57.5 MB
  12 - Full Exam Simulation and Test-Day Strategy.mp4 55.6 MB
  2 - Framing the Business Problem and the Seven Patterns of AI.mp4 56.3 MB
  3 - AI Feasibility, Risk Assessment, and Scope Definition.mp4 55.8 MB
  4 - Business Case, ROI TCO, Architecture, and Resourcing.mp4 56.4 MB
  5 - Defining Data Needs and Mapping Data Sources.mp4 62.1 MB
  6 - AI Workspace, Infrastructure, and Data Gathering.mp4 54.3 MB
  7 - Data Evaluation, Compliance, and the Data Go No-Go Decision.mp4 66.9 MB
  8 - Model Technique Selection and QA QC.mp4 53.6 MB
  9 - Training Management, Data Preparation, and the Two Go No-Go Gates.mp4 61.8 MB
  Bonus Resources.txt 102.4 B

Description


PMI-CPMAI Certification Exam Prep Masterclass
https://WebToolTip.com
Published 8/2026

MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch

Language: English | Duration: 3h 15m | Size: 681.24 MB
Scenario-based practice, labs, and exam-day strategy covering all five PMI-CPMAI domains for AI project leaders
What you'll learn

Apply the CPMAI Methodology's six phases and go/no-go gates to real AI project scenarios

Map business problems to the Seven Patterns of AI and draft AI feasibility assessments

Build a scope statement and business case with ROI/TCO for an AI initiative

Design production monitoring for drift detection, model governance, and responsible AI
Requirements

No prior AI, data science, or programming experience required; basic project management familiarity helps

Related Torrents

torrent name size uploader age seed leech
0
48
5
1
0