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AI Program Director Practitioner

Master AI Leadership with Practical Program Management

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AI+ Porgram director practioner online course
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The AI+ Agile Project Management Fundamentals certification equips you with essential skills for managing AI-driven projects using agile methodologies. You will explore key concepts of Agile project management, including Scrum, Kanban, and Lean principles, while integrating AI tools for project optimization. Throughout this
certification, you will gain practical experience in creating adaptive project plans that foster collaboration and efficiency within your team.
This certification is perfect for professionals aiming to lead AI projects with a modern, flexible approach. You will develop the ability to enhance workflows using AI, ensuring project success at every stage. With the knowledge you gain, you will be well-prepared to drive innovation, improve team collaboration, and optimize project
management practices in an AI-driven environment.

Mastering the AI Portfolio: Why the AI Program Director Certification is a PM’s Greatest Asset

Stepping into the role of an AI Program Director Practitioner means moving beyond individual deliverables and taking command of a company’s strategic transformation. Where a Project Manager focuses on “doing things right,” a Program Director ensures the organization is “doing the right things.”

This certification bridges the gap between high-level governance frameworks like PRINCE2® and the rapid, decentralized execution of Scrum, positioning you as a high-impact leader in any Project Management Office (PMO).

1. Strategic Benefit Realization (The PRINCE2® Perspective)

In the PRINCE2 framework, the “Business Case” is the heartbeat of the project. As a certified AI Program Director, you gain the expertise to evaluate which AI initiatives will drive genuine ROI and which are merely distractions.

  • The PM Advantage: You won’t just manage a schedule; you will define the critical success factors and manage complex cross-project dependencies, ensuring that the entire AI portfolio remains aligned with the organization’s long-term vision.

2. Orchestrating Agility at Scale (The Scrum Perspective)

AI development is rarely linear and often unpredictable. This specialization equips you to lead multiple Scrum teams working simultaneously across data engineering, model training, and business integration.

  • The PM Advantage: You become the leader who can scale agile practices, removing organizational roadblocks for your Scrum Masters and ensuring that the “Definition of Done” accounts for technical robustness and enterprise-wide integration.

3. Ethical Governance and Enterprise Risk Management

The larger the AI program, the higher the stakes. This course prepares you to handle the unique risks associated with AI—from data privacy and algorithmic bias to compliance with emerging regulations like the EU AI Act.

  • The PM Advantage: Organizations are searching for leaders who can guarantee safe and ethically sound AI deployment. You become the guardian of corporate integrity, ensuring that innovation never comes at the cost of compliance.

4. Bridging the Gap Between the C-Suite and Technical Teams

As an AI Program Director, your most critical skill is “Stakeholder Management.” You learn to translate complex technical milestones into the language of business value, risk, and growth.

  • The PM Advantage: You demonstrate that you can manage massive budgets, diverse resource pools, and the cultural shift required for AI adoption. You aren’t just a facilitator; you are a transformation architect.

You will learn

  • Leadership in AI Initiatives: Gain the skills to lead AI projects, ensuring alignment with business goals and successful project execution from start to finish.
  • Strategic AI Integration: Learn how to seamlessly integrate AI solutions into existing systems, driving innovation and improving operational efficiency across departments.
  • Optimized Program Management: Develop expertise in managing resources, timelines, and cross-functional teams to deliver AI projects on time and within budget.
  • Enhanced Decision-Making: Equip yourself with the ability to make data-driven, AI-informed decisions that drive business growth and competitive advantage.
  • Future-Proof Your Career: Prepare for leadership roles in AI by mastering program management skills that are critical for navigating the rapidly evolving AI landscape.

Skills You’ll Gain

  • AI Strategy Development for Programs
  • AI Project Management
  • AI System Integration
  • Cross-Functional Leadership
  • AI Governance and Compliance
  • Risk Management in AI Projects
  • AI Change Management
  • Performance Measurement and Evaluation

Who chould enroll?

  • AI Project Managers: Professionals seeking to lead AI-driven projects with an agile approach.
  • Agile Practitioners: Project managers looking to integrate AI tools into their project management workflows.
  • Team Leaders: Individuals interested in optimizing team collaboration and productivity using agile methodologies.
  • Project Planners: Those aiming to build adaptive, flexible project plans in fastpaced, AI-enhanced environments.
  • Cross-Functional Team Members: Professionals wanting to gain a deeper understanding of both Agile principles and AI applications in project
    management.
  • Innovation Seekers: Those aspiring to drive innovation and efficiency in their organization’s project management processes.
  • AI Enthusiasts: Individuals eager to explore the intersection of AI and Agile project management for future-ready leadership.

Prerequisites

  • Basic Understanding of Project Management: Familiarity with project lifecycle
    and management principles.
  • Introductory Knowledge of Agile: Awareness of agile methodologies like Scrum
    and Kanban.
  • Familiarity with AI Concepts: Basic knowledge of artificial intelligence and its
    applications.
  • Problem-Solving Skills: Ability to address challenges in dynamic environments.
  • Team Collaboration Experience: Comfort working in cross-functional,
    collaborative teams.
  • Strong Communication Skills: Ability to clearly communicate ideas, updates, and
    expectations to team members and stakeholders.
  • Time Management Skills: Ability to prioritize tasks and manage multiple
    deadlines effectively in a fast-paced environment.
  • Adaptability and Flexibility: Willingness to embrace change and adapt
    strategies based on evolving project needs and AI tools.

Tools you will explore

  • Microsoft Project
  • JIRA
  • Trello
  • Asana
  • Monday.com
  • Basecamp
  • Wrike
  • ClickUp
  • GitLab
  • Confluence
  • Smartsheet
  • Slack
  • Power BI
  • Tableau
  • Azure DevOps
  • AWS CloudFormation
  • Google Cloud AI Platform
  • TIBCO Jaspersoft
  • RapidMiner
  • Minitab
  • Balsamiq
  • Miro
  • Zoom
  • Jenkins
  • Salesforce
  • Lucidchart
  • ServiceNow
  • Redmine
  • Airtable
  • Workfront
  • Notion
  • QlikView
  • Klipfolio
  • Hootsuite
Tool Microsoft ProjectTool JIRATool TrelloTool Asana
Tool Monday.comTool BasecampTool WrikeTool ClickUp
Tool GitLabTool ConfluenceTool SmartsheetTool Slack
Tool Power BITool TableauTool Azure DevOpsTool AWS CloudFormation
Tool Google Cloud AI PlatformTool TIBCO JaspersoftTool RapidMinerTool Minitab
Tool BalsamiqTool MiroTool ZoomTool Jenkins
Tool SalesforceTool LucidchartTool ServiceNowTool Redmine
Tool AirtableTool WorkfrontTool NotionTool QlikView
Tool KlipfolioTool Hootsuite

 

  • 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 (Personalizing Customer Experience)
  • 1.6 Hands-on: Use Teachable Machine to Build a Simple AI Classifier
Module 2: Identifying AI Opportunities & Use Cases
  • 2.1 Introduce AI Strategy Alignment Frameworks: AI Canvas, Value vs Feasibility Matrix
  • 2.2 Signs That a Process May Benefit from AI: Repetitive Tasks, Data-Rich Environments, Personalization Needs
  • 2.3 Prioritization Techniques: Weighted Scoring, Risk-Adjusted ROI
  • 2.4 Use-Case: Financial AI – Fraud Detection Systems Using AI
  • 2.5 Case Study: AI-Driven Project Management System for a Program Director
  • 2.6 Hands-on: Use Trello to Create a Board and Prioritize AI Opportunities Within a Given Scenario

Module 3: Governance & Ethics in AI

  • 3.1 Responsible AI Principles
  • 3.2 AI Bias & Risk Mitigation
  • 3.3 Use-case: Auditing Bias in AI-Powered Recruitment to Ensure Fair Hiring
  • 3.4 Case Study: Mitigating Algorithmic Bias in Credit Scoring Models to Ensure Fair Lending Practices
  • 3.5 Hands-on: Use Google’s What-If Tool in Google Colab to Evaluate Model Fairness and Bias

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: AI for Predictive Maintenance (Asset Management in Manufacturing)
  • 4.5 Tool-Based Hands-on Activity: Simulate an AI Project in Asana
Module 5: Data Strategy & Infrastructure for AI
  • 5.1 Data Governance & Quality
  • 5.2 Setting up Data Pipelines for AI
  • 5.3 Sensitive Data Management
  • 5.4 Use Case: Retail Inventory System — AI-driven Restocking and Demand Prediction
  • 5.5 Case Study: Healthcare Data Security — Managing Patient Privacy in AI-Based Healthcare Systems
  • 5.6 Tool-Based Hands-on Activity: Set up Airbyte Cloud and Build a 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: AI Vendor Selection — Choosing Predictive Maintenance Solutions for a Manufacturing Plant
  • 6.4 Tool-Based Hands-on Activity: Use a Vendor Selection Template to Evaluate AI Vendors (Google Sheets)
Module 7: AI Risk Management & Compliance
  • 7.1 Regulatory Frameworks
  • 7.2 Bias Detection & Mitigation
  • 7.3 Use Case: Facial Recognition Bias (Law Enforcement Systems)
  • 7.4 Case Study: AI in Finance: Ensuring Compliance in AI Deployments
  • 7.5 Tool-Based Hands-on Activity: Bias Testing & Fairness Evaluation Using KNIME and Google PAIR Facets Fairness Explorer
Module 8: AI Tools & Techniques for Project Management
  • 8.1 AI Project Management Tools
  • 8.2 Data Management Tools
  • 8.3 Case Study and Use Case: AI Workflow Management: Using project management tools for AI deployment in the retail sector
  • 8.4 Tool-Based Hands-on Activity: Use Asana to simulate project timelines, setting up tasks and milestones for an AI initiative
Module 9: Leadership in AI
  • 9.1 Leading AI Teams & Change Management
  • 9.2 Managing Stakeholders & Communication
  • 9.3 Use Case: AI in Manufacturing: Leading AI Implementation in a Large-Scale Manufacturing Operation
  • 9.4 Tool-Based Hands-on Activity: Use Miro to Map Stakeholder Communication Strategies and Identify Key Influencers
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 AI in Retail: Expanding AI-driven Recommendations Globally
  • 10.4 Tool-Based Hands-on Activity: Create a Scaling Roadmap Using Lucidchart Outlining Key steps in Scaling AI Initiatives.
Module 11: Future Trends in AI
  • 11.1 Emerging AI Technologies
  • 11.2 Use Case / Case Study: AI in Autonomous Vehicles: The future of AI in self-driving cars
  • 11.3 Tool-Based Hands-on Activity: Explore Hugging Face Transformers for NLP and TensorFlow for Deep Learning Applications
Module 12: Capstone Project & Presentation
  • 12.1 Capstone Project Overview
  • 12.2 Presentation & Feedback
  • 12.3 Final Review & Certification – Method, Process, and Feedback Mechanism
Yes, you’ll gain practical experience in managing AI projects, leading teams, and executing AI strategies, allowing you to apply these skills to real-world AI initiatives right away.
The AI + Program Director Practitioner course is tailored to developing leadership and management skills for AI projects, focusing on strategic planning, team coordination, and effective communication with stakeholders, rather than just the technical aspects of AI.
You’ll work on projects like creating AI strategies, managing project lifecycles, leading teams, and implementing AI governance, ensuring AI initiatives align with business goals.
The course blends leadership concepts with practical AI management through case studies, simulations, and hands-on exercises, helping you lead AI projects effectively.
This course prepares you for roles like AI Program Director or AI Project Manager, equipping you with the skills to lead AI initiatives and manage AI projects across industries.

Exam Details

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

Exam Blueprint:

  • Foundations of AI for Program Strategy – Introduction – 5%
  • Identifying AI Opportunities & Use Cases – 9%
  • Governance & Ethics in AI – 9%
  • AI Project Lifecycle & Integration – 9%
  • Data Strategy & Infrastructure for AI – 9%
  • AI Integration: Build vs Buy vs Partner – 9%
  • AI Risk Management & Compliance – 9%
  • AI Tools & Techniques for Project Management – 9%
  • Leadership in AI – 8%
  • Scaling AI Initiatives – 8%
  • Future Trends in AI – 8%
  • Capstone Project & Presentation – 8%

Includes in this course

991,87 

ekskl. moms

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Industry Growth: Creating Informed, AI-Ready Workforces Globally

  • AI market is expected to reach $190.61 billion by 2025, growing at a CAGR of 42.2% (Source: Grand View Research).
  • AI-driven solutions are transforming industries, with businesses leveraging AI to streamline operations, improve decision-making, and drive innovation.
  • AI in customer service is projected to grow exponentially, with automation and AI chatbots becoming integral in enhancing customer experiences and reducing operational costs.
  • AI adoption in healthcare is accelerating, offering improvements in diagnostics, treatment recommendations, and personalized care, opening new opportunities for AI professionals.
  • AI’s impact on legal, financial, and manufacturing sectors is profound, reshaping business models, and creating lucrative career paths for professionals skilled in AI technologies.

What do our students say?

Who We Are?

Accredited Organization

Mentorix is an accredited training organization by AXELOS, PeopleCert, APMG International, DevOps Institute, Digital marketing institute, SCRUM Study and AI CERTs. Our courses, materials, and trainers meet the high standards set by these organizations. All trademarks, including PRINCE2®, ITIL®, AgilePM®, and others, are used with permission from their respective owners.

Get help, advice, and answers to your questions.

Do you have a question about our courses, prices, or anything else? Then call us or send your inquiry below. It’s completely non-binding, and you usually receive an answer the same day. You can call us on weekdays from 9:00 AM to 4:00 PM.
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AI Program Director Practitioner

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  • Full certification – course, and manual
  • 12 months access to all courses
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