AI+ Program Director – PractitionerTM
The AI+ Program Director Practitioner course gives you the strategy and governance skills to deliver at scale.
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.
Prerequisites
- AI Fundamentals: Basic AI/ML concepts and terminology familiarity.
- Project Management: Experience managing projects, timelines, and stakeholders.
- Business Strategy: Understanding of business strategy and KPI-driven decision-making.
- Governance & Compliance: Working knowledge of data privacy, risk, and compliance.
- Leadership & Change: Comfort with cross-functional leadership and change management.
The AI+ Program Director – Practitioner™ self-paced course includes:
1. 8 hours of on-demand videos, an e-book, and podcasts.
2. Modular quizzes to help learners monitor their progress.
The course allows learners to study at their own pace. After completing the course, learners can take the certification exam online through a secure remote-proctored system.
Why This Certification Matters?
- 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.
What You'll Learn?
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
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
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
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
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
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)
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
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
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
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.
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
12.1 Capstone Project Overview
12.2 Presentation & Feedback
12.3 Final Review & Certification – Method, Process, and Feedback Mechanism
Job Roles & Industry Outlook
AI Program Manager
Lead AI projects, ensuring alignment with organizational goals, managing timelines, and optimizing resources for successful AI program delivery.
AI Integration Specialist
Oversee the integration of AI solutions into existing systems, optimizing processes and ensuring smooth adoption across departments.
AI Strategy Consultant
Advise organizations on AI strategies, helping them align AI initiatives with business objectives to drive innovation and enhance efficiency.
AI Transformation Leader
Guide organizations through the AI adoption process, managing change and ensuring successful transformation using AI-powered solutions.
AI Portfolio Manager
Manage a portfolio of AI projects, balancing resources, timelines, and risks to ensure the successful execution and scaling of AI initiatives across the business.
Skills You’ll Gain
Tools You’ll Master
Exam Details
Duration
Passing Score
Format
Delivery Method
Exam Blueprint
What’s Included
(One-Year Subscription + All Updates)
- High-Quality Videos, E-book (PDF & Audio), and Podcasts
- AI Mentor for Personalized Guidance
- Quizzes, Assessments, and Course Resources
- Online Proctored Exam with One Free Retake
- Comprehensive Exam Study Guide
- Access for Tablet & Phone