Tutorials > Project Management for AI Projects

Project Management for AI Projects


Date: 30 September 2025 | Posted by: voska89
Project Management for AI Projects
Free Download Project Management for AI Projects
Published 9/2025
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 2h 10m | Size: 1.24 GB
Deliver AI Project with confidence - Aligning Strategy, Governance, and Business Impact


What you'll learn
Evaluate whether AI initiatives are strategically aligned with business goals
Identify and mitigate common risks in AI projects beyond technology (culture, adoption, ethics, drift)
Challenge teams and vendors with Governance-focused questions that drive real outcomes
Design or refine oversight rituals, dashboards, and sponsorship roles that track adoption—not just delivery
Understand how traditional PM practices fall short in AI contexts and tailor Agile appropriately
Establish a governance mindset that sustains AI transformation beyond tool deployment
Requirements
Business professionals engaged in AI Program/Project Delivery
Description
Are you solving the right Business problem with AI initiatives? Are you asking right questions to your AI product delivery partner?Are your AI use cases aligned with Enterprise Goals?Have you verified any Non-Cognitive approaches before Initiatibg AI Model Development? What Governance structures exist once the model Operationalizes?This course is designed for professionals responsible for initiating, sponsoring, or overseeing AI initiatives across business functions. It is particularly relevant for those who don't build models but are accountable for outcomes—like CXOs, business leaders, sponsors, and senior program managers,Project Managers.AI is not just about developing models—it's about making the right decisions before and after deployment. You'll learn how to evaluate AI initiatives through a strategic lens, define success criteria beyond technical accuracy, and understand why most failures occur not in model training—but in integration, adoption, and post-deployment oversight. Key topics include stakeholder alignment, business framing, ethical guardrails, managing model drift, and cross-functional ownership.The course includes caselets, templates to help you challenge assumptions, ask the right questions in review meetings, and realign AI efforts before risks become visible.If you've ever struggled to track real value from AI investments—or been handed a dashboard that tells you nothing about business impact—this course will help you take control of your AI agenda.
Who this course is for
CXOs (CEO, CIO, CDO, CHRO, CFO, COO),
Business Unit Heads or Transformation Leaders
Senior Project & Program Managers (esp. Agile/Portfolio leadersrs
AI/ML Delivery Managers and Product Owners
Data Scientists transitioning into leadership/stakeholder roles
Managers with Oversight of AI Project Deliveries
Functional HOD
Homepage
https://www.udemy.com/course/project-management-for-ai-projects/


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