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Beginnt 4 June 2026 11:06

Endet 4 June 2026

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Managing AI Projects That Ship and Scale

Master AI project management from strategy to deployment, covering risk mitigation, data governance, model development, MLOps, and stakeholder communication through hands-on scenarios.
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2868 Kurse


4 weeks, 10 hours a week

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Übersicht

Managing AI Projects That Ship and Scale is a comprehensive program designed for project managers, program managers, and technical leads who want to deliver AI initiatives that succeed in the real world. Through 15 practical courses, you'll learn to frame AI problems with measurable objectives, align initiatives with corporate strategy and secure funding, define scope and milestones, manage AI-specific risks, govern data pipelines, guide model development and experimentation, orchestrate deployments using MLOps best practices, and communicate effectively with stakeholders.

You'll work through real-world scenarios including fraud detection systems, medical imaging projects, and AI hiring assistants while building hands-on skills with tools like Jira, Excel, MLflow, and Kubernetes. By the end, you'll be equipped to lead AI projects from concept through deployment—ensuring they are feasible, fundable, compliant, and built to scale.

Lehrplan

  • Course 1: Strategize, Roadmap, and Mitigate AI Projects
  • Course 2: Align AI: Finance, Strategy, and Funding
  • Course 3: AI Projects: Plan, Track, Deliver
  • Course 4: AI Risk: Analyze, Evaluate, Register
  • Course 5: Scope AI Projects: Define Success
  • Course 6: Frame AI Problems: Objectives to Metrics
  • Course 7: Optimize AI: Plan, Evaluate, and Learn
  • Course 8: AI Data: Analyze, Govern, Plan
  • Course 9: Engineer AI Models: Explain, Tune & Experiment
  • Course 10: AI Model Risk Management
  • Course 11: Align, Analyze, and Communicate: AI Projects
  • Course 12: Orchestrate, Analyze, and Evaluate AI Deployments
  • Course 13: AI Project Milestones with Confidence
  • Course 14: Lead and Evaluate AI Project Implementations

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Fachgebiete

Business