AI+ Program Director – Practitioner™

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AI Project Managers: Ideal for project managers looking to lead AI initiatives and ensure successful implementation across organizations.

Business Leaders: For executives and managers aiming to integrate AI into business strategies and drive operational efficiency.

Program Directors: Designed for program directors who want to master AI project management and lead cross-functional AI teams.

AI Professionals: For AI specialists seeking to enhance their leadership skills and move into strategic program management roles.

Change Managers: Great for professionals managing organizational change and looking to implement AI-driven transformation effectively.

Struktura kurzu

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Module 1: Foundations of AI for Program Strategy – Introduction

1. 1.1 Understanding of AI, ML, and Deep Learning
2. 1.2 AI Lifecycle & Real-World Applications
3. 1.3 Societal Impact of AI
4. 1.4 Use Case: Triage System (AI for Emergency Services)
5. 1.5 Case Study: Retail Recommendation System (Personalizing Customer Experience)
6. 1.6 Hands-on: Use Teachable Machine to Build a Simple AI Classifier

Module 2: Identifying AI Opportunities & Use Cases

1. 2.1 Introduce AI Strategy Alignment Frameworks: AI Canvas, Value vs Feasibility Matrix
2. 2.2 Signs That a Process May Benefit from AI: Repetitive Tasks, Data-Rich Environments, Personalization Needs
3. 2.3 Prioritization Techniques: Weighted Scoring, Risk-Adjusted ROI
4. 2.4 Use-Case: Financial AI – Fraud Detection Systems Using AI
5. 2.5 Case Study: AI-Driven Project Management System for a Program Director
6. 2.6 Hands-on: Use Trello to Create a Board and Prioritize AI Opportunities Within a Given Scenario

Module 3: Governance & Ethics in AI

1. 3.1 Responsible AI Principles
2. 3.2 AI Bias & Risk Mitigation
3. 3.3 Use-case: Auditing Bias in AI-Powered Recruitment to Ensure Fair Hiring
4. 3.4 Case Study: Mitigating Algorithmic Bias in Credit Scoring Models to Ensure Fair Lending Practices
5. 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

1. 4.1 AI Project Planning & CRISP-DM
2. 4.2 Integration: Build vs Buy vs Partner
3. 4.3 AI Project Management Tools
4. 4.4 Use Cases: AI for Predictive Maintenance (Asset Management in Manufacturing)
5. 4.5 Tool-Based Hands-on Activity: Simulate an AI Project in Asana

Module 5: Data Strategy & Infrastructure for AI

1. 5.1 Data Governance & Quality
2. 5.2 Setting up Data Pipelines for AI
3. 5.3 Sensitive Data Management
4. 5.4 Use Case: Retail Inventory System — AI-driven Restocking and Demand Prediction
5. 5.5 Case Study: Healthcare Data Security — Managing Patient Privacy in AI-Based Healthcare Systems
6. 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

1. 6.1 Evaluating AI Solutions
2. 6.2 Vendor Evaluation & Management
3. 6.3 Use Case: AI Vendor Selection — Choosing Predictive Maintenance Solutions for a Manufacturing Plant
4. 6.4 Tool-Based Hands-on Activity: Use a Vendor Selection Template to Evaluate AI Vendors (Google Sheets)

Module 7: AI Risk Management & Compliance

1. 7.1 Regulatory Frameworks
2. 7.2 Bias Detection & Mitigation
3. 7.3 Use Case: Facial Recognition Bias (Law Enforcement Systems)
4. 7.4 Case Study: AI in Finance: Ensuring Compliance in AI Deployments
5. 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

1. 8.1 AI Project Management Tools
2. 8.2 Data Management Tools
3. 8.3 Case Study and Use Case: AI Workflow Management: Using project management tools for AI deployment in the retail sector
4. 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

1. 9.1 Leading AI Teams & Change Management
2. 9.2 Managing Stakeholders & Communication
3. 9.3 Use Case: AI in Manufacturing: Leading AI Implementation in a Large-Scale Manufacturing Operation
4. 9.4 Tool-Based Hands-on Activity: Use Miro to Map Stakeholder Communication Strategies and Identify Key Influencers

Module 10: Scaling AI Initiatives

1. 10.1 From Pilot to Full-Scale Deployment
2. 10.2 Organizational Maturity Models for AI
3. 10.3 Use Case: Scaling AI in Retail: Expanding AI-driven Recommendations Globally
4. 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

1. 11.1 Emerging AI Technologies
2. 11.2 Use Case / Case Study: AI in Autonomous Vehicles: The future of AI in self-driving cars
3. 11.3 Tool-Based Hands-on Activity: Explore Hugging Face Transformers for NLP and TensorFlow for Deep Learning Applications

Module 12: Capstone Project & Presentation

1. 12.1 Capstone Project Overview
2. 12.2 Presentation & Feedback
3. 12.3 Final Review & Certification – Method, Process, and Feedback Mechanism

Certifikace

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50 questions, 70% passing, 90 minutes, online proctored exam