AI+ Program Director Practitioner™

Master AI Leadership with Practical Program Management

Beginner Self-Paced 🌐 en
AI+ Program Director Practitioner™

Highlights

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.
Level
Beginner
Modules
12
Delivery
SelfPaced

About this course

  • 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.

This course includes

📊 Beginner level 🌐 en 🎓 Self-Paced

Course curriculum

12 chapters · 55 lessons

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

🔒 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

🔒 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

🔒 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

🔒 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

🔒 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)

🔒 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

🔒 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

🔒 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

🔒 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.

🔒 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

🔒 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

🔒 12.1 Capstone Project Overview
🔒 12.2 Presentation & Feedback
🔒 12.3 Final Review & Certification – Method, Process, and Feedback Mechanism

AI Tools Used

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

Prerequisites

A good understanding of AI/ML fundamentals, project management experience, business strategy knowledge, familiarity with governance and compliance, and strong leadership and change management skills are essential for this course.

Exam Details

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

Mode of Learning

Delivery: SelfPaced