AI+ Program Director Practitioner™ - eLearning (exam included)

448,00 EUR

  • 40 hours
eLearning

Lead Strategic AI Initiatives with Confidence Step into leadership with the AI+ Program Director Practitioner™ certification — a high‑impact program designed for experienced professionals responsible for driving complex, enterprise‑scale AI and digital transformation programs. This course equips you with the strategic frameworks, governance models, and practical tools needed to plan, execute, and oversee AI initiatives that deliver measurable business value. You’ll learn how to align AI programs with organizational goals, manage risk and ethical considerations, lead cross‑functional teams, and ensure robust governance and stakeholder engagement. Through real‑world case studies, hands‑on exercises, and expert insights, you’ll develop the capabilities to steer AI strategy at the highest level and drive sustainable, responsible innovation across your organization. Ideal for program directors, transformation leaders, senior managers, and executives charting the future of AI adoption.

Key Features

Language

Course and material in English

Level

Intermediate level (Category: AI+ Practitioner)

Access

1 year access to the platform 24/7

40 hours of video lessons & multimedia

60 hours of study time recommendation

eBooks, Audiobooks, Podcasts

Quizzes, Assessments, and Course Resources

Exam

Online Proctored Exam with One Free Retake

Certificate

Certification of completion included

Hero

Lead AI Programs with Expertise and Impact

Learn to create and execute AI strategies that align with organizational objectives, fostering innovation and measurable performance.

Driving AI Innovation

Learning Outcomes

At the end of this course, you will be able to:

AI Program Leadership

Master how to manage AI programs end-to-end, aligning initiatives with business goals and optimizing resource allocation

Leading Cross-Functional Teams

Gain expertise in coordinating technical and non-technical teams to successfully deliver AI-driven projects

AI Integration & Implementation

Learn how to embed AI solutions into existing business systems to streamline workflows and boost efficiency

Risk & Compliance Oversight

Understand how to identify, assess, and mitigate AI project risks while ensuring adherence to privacy, security, and ethical standards.

Performance Measurement & Optimization

Develop skills to track AI program success, enhance performance, and ensure outcomes support strategic objectives.

Tools explored

  • Microsoft Project
  • Jira, Trello, Asana, Monday.com
  • ClickUp
  • Basecamp
  • Wrike
  • GitlAb
  • Confluence
  • Smartsheet
  • Slack
  • Power BI
  • Tableau
  • Azure DevOps
  • AWS CloudFormation
  • Google Cloud AI Platform
  • TIBCO Jaspersoft
  • RapidMiner
  • Minitab
  • Balsamiq
  • Miro
  • Jenkins
  • Salesforce
  • Lucidchart
  • ServiceNow
  • Redmine
  • Airtable
  • Workfront
  • Notion
  • QlikView
  • Klipfolio
  • Hootsuite
Hero

Course timeline

  1. Foundations of AI for Program Strategy – Introduction

    Lesson 1

    • Understanding AI, ML, and Deep Learning
    • AI Lifecycle & Real-World Applications
    • Societal Impact of AI
    • Use Case: AI for Emergency Services Triage System
    • Case Study: Retail Recommendation System for Personalized Customer Experience
    • Hands-On: Build a Simple AI Classifier with Teachable Machine
  2. Identifying AI Opportunities & Use Cases

    Lesson 2

    • AI Strategy Alignment Frameworks: AI Canvas, Value vs Feasibility Matrix
    • Identifying Processes Suitable for AI: Repetitive Tasks, Data-Rich Environments, Personalization Needs
    • Prioritization Techniques: Weighted Scoring, Risk-Adjusted ROI
    • Use Case: AI for Fraud Detection in Finance
    • Case Study: AI-Driven Project Management System for Program Directors
    • Hands-On: Create a Trello Board to Prioritize AI Opportunities
  3. Governance & Ethics in AI

    Lesson 3

    • Responsible AI Principles
    • Mitigating AI Bias & Risk
    • Use Case: Auditing Bias in AI Recruitment for Fair Hiring
    • Case Study: Mitigating Algorithmic Bias in Credit Scoring Models
    • Hands-On: Evaluate Model Fairness Using Google’s What-If Tool in Colab
  4. AI Project Lifecycle & Integration

    Lesson 4

    • AI Project Planning & CRISP-DM Methodology
    • Integration Strategies: Build vs Buy vs Partner
    • AI Project Management Tools Overview
    • Use Case: Predictive Maintenance in Manufacturing
    • Hands-On: Simulate an AI Project in Asana
  5. Data Strategy & Infrastructure for AI

    Lesson 5

    • Data Governance & Quality Management
    • Setting Up Data Pipelines for AI
    • Handling Sensitive Data
    • Use Case: Retail Inventory — AI-Driven Restocking & Demand Prediction
    • Case Study: Healthcare Data Security & Patient Privacy
    • Hands-On: Build a Basic Data Pipeline with Airbyte Cloud
  6. AI Integration — Build vs Buy vs Partner

    Lesson 6

    • Evaluating AI Solutions
    • Vendor Evaluation & Management
    • Use Case: Selecting AI Predictive Maintenance Vendors
    • Hands-On: Evaluate AI Vendors Using a Google Sheets Template
  7. AI Risk Management & Compliance

    Lesson 7

    • Regulatory Frameworks for AI
    • Bias Detection & Mitigation Strategies
    • Use Case: Facial Recognition Bias in Law Enforcement
    • Case Study: Ensuring Compliance in AI Deployments in Finance
    • Hands-On: Bias Testing & Fairness Evaluation with KNIME and Google PAIR Facets
  8. AI Tools & Techniques for Project Management

    Lesson 8

    • Overview of AI Project Management Tools
    • Data Management Tools for AI Projects
    • Case Study: AI Workflow Management in Retail Deployment
    • Hands-On: Simulate AI Project Timelines, Tasks & Milestones in Asana
  9. Leadership in AI

    Lesson 9

    • Leading AI Teams & Driving Change
    • Stakeholder Management & Communication Strategies
    • Use Case: AI Implementation Leadership in Large-Scale Manufacturing
    • Hands-On: Map Stakeholder Communication Using Miro
  10. Scaling AI Initiatives

    Lesson 10

    • Transition from Pilot to Full-Scale Deployment
    • Organizational Maturity Models for AI
    • Use Case: Scaling AI-Driven Retail Recommendations Globally
    • Hands-On: Design a Scaling Roadmap Using Lucidchart
  11. Future Trends in AI

    Lesson 11

    • Emerging AI Technologies & Applications
    • Use Case / Case Study: AI in Autonomous Vehicles
    • Hands-On: Explore Hugging Face Transformers for NLP and TensorFlow for Deep Learning
  12. Capstone Project & Presentation

    Lesson 12

    • Overview of Capstone Project
    • Presentation & Feedback Sessions
    • Final Review & Certification Process
ai project management

Who Should Enroll in this Program?

AI Project Managers: Perfect for project managers aiming to lead AI initiatives and drive successful organizational implementation.

Business Leaders & Executives: Ideal for leaders looking to embed AI into business strategies and enhance operational efficiency.

Program Directors: Designed for directors who want to excel in AI program management and oversee cross-functional AI teams.

AI Professionals: Suited for AI specialists seeking to expand into strategic leadership and program management roles.

Change Management Professionals: Beneficial for those guiding organizational change and implementing AI-driven transformations effectively.

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More Details

Prerequisites

  • AI Basics: Familiarity with core AI and machine learning concepts and terminology.
  • Project Management Experience: Background in managing projects, schedules, and stakeholder expectations.
  • Business Acumen: Understanding business strategy and making KPI-driven decisions.
  • Governance & Compliance Knowledge: Awareness of data privacy, risk management, and regulatory compliance.
  • Leadership & Change Management: Experience leading cross-functional teams and driving organizational change.

Exam Details

  • Duration: 90 minutes
  • Passing :70% (35/50)
  • Format: 50 multiple-choice/multiple-response questions
  • Delivery Method: Online via proctored exam platform (flexible scheduling)
  • Language: English

Licensing and accreditation

This course is offered by AVC according to Partner Program Agreement and complies with the License Agreement requirements.

Equity Policy

AVC does not provide accommodations due to a disability or medical condition of any students. Candidates are encouraged to reach out to AVC for guidance and support throughout the accommodation process.


Frequently Asked Questions

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