AI+ Program Director – Practitioner™

  • Master AI Leadership with Practical Program Management

$200.00

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Intermediate
AI+ Program Director – Practitioner.
24h
1 Year.
$200.00
Training 5 or more people?

Master AI Leadership with Practical Program Management.

  • AI Strategy Development: Learn to design and implement AI strategies that align with business goals, driving innovation and performance.
  • Leading AI Projects: Gain skills in managing AI projects, ensuring timely execution, resource allocation, and effective collaboration.
  • AI Program Integration: Understand how to integrate AI into business processes for seamless transitions and maximum value.
  • Managing AI Teams: Lead cross-functional teams, fostering collaboration and driving continuous improvement in AI initiatives.
  • Future-Proofing AI Programs: Stay ahead of AI trends and adapt strategies to ensure long-term competitiveness in the evolving landscape.
  • 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.

Course Curriculum

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

Learning Objectives

  • Identify High-Value AI Opportunities: Learn to spot impactful use cases, assess feasibility, and build strong business cases aligned with organizational goals.
  • Strengthen AI Program Execution Capabilities: Develop skills to manage AI lifecycles, evaluate data readiness, and oversee governance for responsible, scalable implementation.
  • Evaluate Vendors and Solution Pathways: Grasp how to compare build-vs-buy options, assess vendor proposals, and choose solutions that meet strategic and technical requirements.
  • Coordinate Stakeholders and Drive Change: Apply effective communication and change-management strategies to align teams and support enterprise-wide AI adoption.
  • Ensure Responsible and Compliant AI Deployment: Equip yourself to address risk, identify bias, and navigate regulatory expectations while delivering measurable AI outcomes.

Resource Center

  • Videos, Use cases, Workshops, E-books and tools.

Target Audience

  • AI Project Managers.
  • Business Leaders.
  • Program Directors.
  • AI Professionals.
  • Change Managers.

Job Roles & Industry Outlook 

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Al Strategy Consultant
Advise organizations on Al strategies, helping them align Al initiatives with business objectives to drive innovation and enhance efficiency.
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Al Transformation Leader
Guide organizations through the Al adoption process, managing change and ensuring successful transformation using Al-powered solutions.
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Al Portfolio Manager
Manage a portfolio of Al projects, balancing resources, timelines, and risks to ensure the successful execution and scaling of Al initiatives across the business.
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Al Program Manager
Lead Al projects, ensuring alignment with organizational goals, managing timelines, and optimizing resources for successful Al program delivery.
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Al Integration Specialist
Oversee the integration of Al solutions into existing systems, optimizing processes and ensuring smooth adoption across departments.

Exam Information

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Duration
90 minutes
Passing Score Icon-71608a
Passing Score
70% (35/50)
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Format
50 multiple-choice/multiple-response questions
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Delivery Method
Online via proctored exam platform (flexible scheduling)
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Fees include
One year of access to course content, including continuous updates. Certification exam. One exam re-take.

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%

Explore our Schedules

Oct 18 - Oct 20
GMT 09:00 AM - 05:00 PM
In-person
In-Person
Dubai
724.5$
3 Days
Nov 15 - Nov 17
GMT 09:00 AM - 05:00 PM
In-person
In-Person
Muscat
724.5$
3 Days

Certificate of Completion

AI+ Program Director – Practitioner.

AI-Healthcare-Certificate-Blurred 1

$200.00

ChartBar (1)-51bd46
Intermediate
AI+ Program Director – Practitioner.
24h
1 Year.
$200.00
Training 5 or more people?

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