AI+ Program Director – Practitioner™

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