Opleiding: AI+ Program Director – Practitioner™ eLearning

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.

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 Tools you will explore

* Microsoft Project
* JIRA
* Trello
* Asana
* Monday.com
* Basecamp
* Wrike
* ClickUp
* GitLab
* Confluence
* Smartsheet
* Slack
* Power BI
* Tableau
* Azure DevOps
* AWS CloudFormation
* Google Cloud AI Platform
* TIBCO Jaspersoft
* RapidMiner
* Minitab
* Balsamiq
* Miro
* Zoom
* Jenkins
* Salesforce
* Lucidchart
* ServiceNow
* Redmine
* Airtable
* Workfront
* Notion
* QlikView
* Klipfolio
* Hootsuite

Online proctored exam included, with one free retake.
Exam format: 50 questions, 70% passing, 90 minutes, online proctored exam

Access to all materials and exams is provided for 365 days after delivery.

Instructor-led OR Self-paced course + Official exam + Digital badge