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AI+ Program Director – Practitioner™

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  • Master AI Leadership with Practical Program Management
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$82.00

Intermediate
AI+ Program Director – Practitioner.
24h
1 Year.
$82.00
Training 5 or more people?
Get a Quote

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 

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

Exam Information

Duration
90 minutes
Passing Score
70% (35/50)
Format
50 multiple-choice/multiple-response questions
Delivery Method
Online via proctored exam platform (flexible scheduling)
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
Dubai
724.5$
3 Days
Enroll Now
Nov 15 - Nov 17
GMT 09:00 AM - 05:00 PM
In-person
Muscat
724.5$
3 Days
Enroll Now

Certificate of Completion

AI+ Program Director – Practitioner.

$82.00

Intermediate
AI+ Program Director – Practitioner.
24h
1 Year.
$82.00
Training 5 or more people?
Get a Quote

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