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AI+ Program Director – Practitioner (AP 110001 Self-Paced Training)

Seminardauer: 5 Tage

Ziele der Schulung

The AI+ Program Director – Practitioner certification equips learners with leadership and management capabilities specific to AI initiatives. It focuses on developing strategic AI planning, AI project leadership, AI program integration into business processes, cross-functional team leadership, and preparation for future trends in AI to ensure long-term competitiveness and effective execution of AI programs. What You Will Learn includes practical skills in AI strategy development, governance, project lifecycle management, risk mitigation, data strategy, and scaling AI initiatives across enterprises.

Zielgruppe Seminar

  • AI Project Managers seeking to lead AI initiatives and manage execution.
  • Business Leaders and Executives aiming to integrate AI into organizational strategy.
  • Program Directors looking to master AI program management.
  • AI Professionals expanding into strategic leadership roles.
  • Change Managers overseeing AI-driven transformation.

Voraussetzungen

A good understanding of AI/ML fundamentals, project management experience, business strategy knowledge, familiarity with governance and compliance, and strong leadership and change management skills.

Seminarinhalt

Module 1: Foundations of AI for Program Strategy – Introduction

  • 1.1 Understanding of AI, ML, and Deep Learning
  • 1.2 AI Lifecycle & Real-World Applications
  • 1.3 Societal Impact of AI
  • 1.4 Use Case: Triage System (AI for Emergency Services)
  • 1.5 Case Study: Retail Recommendation System
  • 1.6 Hands-on: Build Simple AI Classifier

Module 2: Identifying AI Opportunities & Use Cases

  • 2.1 AI Strategy Alignment Frameworks
  • 2.2 Signs That a Process May Benefit from AI
  • 2.3 Prioritization Techniques
  • 2.4 Use-Case: Fraud Detection
  • 2.5 Case Study: AI Project Management System
  • 2.6 Hands-on: Prioritize AI Opportunities

Module 3: Governance & Ethics in AI

  • 3.1 Responsible AI Principles
  • 3.2 AI Bias & Risk Mitigation
  • 3.3 Use-Case: Auditing Bias
  • 3.4 Case Study: Credit Scoring Bias
  • 3.5 Hands-on: Evaluate Model Fairness

Module 4: AI Project Lifecycle & Integration

  • 4.1 AI Project Planning & CRISP-DM
  • 4.2 Integration: Build vs Buy vs Partner
  • 4.3 AI Project Management Tools
  • 4.4 Use Cases: Predictive Maintenance
  • 4.5 Hands-on: Simulate AI Project

Module 5: Data Strategy & Infrastructure for AI

  • 5.1 Data Governance & Quality
  • 5.2 Setting up Data Pipelines
  • 5.3 Sensitive Data Management
  • 5.4 Use Case: Inventory Prediction
  • 5.5 Case Study: Healthcare Data Security
  • 5.6 Hands-on: Build Basic Data Pipeline

Module 6: AI Integration — Build vs Buy vs Partner

  • 6.1 Evaluating AI Solutions
  • 6.2 Vendor Evaluation & Management
  • 6.3 Use Case: Vendor Selection
  • 6.4 Hands-on: Evaluate AI Vendors

Module 7: AI Risk Management & Compliance

  • 7.1 Regulatory Frameworks
  • 7.2 Bias Detection & Mitigation
  • 7.3 Use Case: Facial Recognition Bias
  • 7.4 Case Study: AI in Finance
  • 7.5 Hands-on: Fairness Evaluation

Module 8: AI Tools & Techniques for Project Management

  • 8.1 AI Project Management Tools
  • 8.2 Data Management Tools
  • 8.3 Use Case: AI Workflow Management
  • 8.4 Hands-on: Simulate Project Timelines

Module 9: Leadership in AI

  • 9.1 Leading AI Teams & Change Management
  • 9.2 Managing Stakeholders & Communication
  • 9.3 Use Case: AI Implementation Leadership
  • 9.4 Hands-on: Stakeholder Strategy Mapping

Module 10: Scaling AI Initiatives

  • 10.1 From Pilot to Full-Scale Deployment
  • 10.2 Organizational Maturity Models for AI
  • 10.3 Use Case: Scaling Recommendations
  • 10.4 Hands-on: Create Scaling Roadmap

Module 11: Future Trends in AI

  • 11.1 Emerging AI Technologies
  • 11.2 Use Case: Autonomous Vehicles
  • 11.3 Hands-on: Explore AI Technologies

Module 12: Capstone Project & Presentation

  • 12.1 Capstone Project Overview
  • 12.2 Presentation & Feedback
  • 12.3 Final Review & Certification

Hinweise

Prüfung und Zertifizierung

  • Format: 50 questions, online proctored
  • Passing Score: 70%
  • Duration: 90 minutes
  • Delivery: Online labs, projects, case studies

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168,00 € Preis pro Personspacing line199,92 € inkl. 19% MwSt
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