AI+ Program Director – Practitioner™

  • Home
  • AI+ Program Director – Practitioner™
( 0 Rating )
Shape Image One
  • Course level: Intermediate

About Course

Master AI Leadership with Practical Program Management

Description

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.

Course Modules

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

 

AI Tools You’ll Learn

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

What Will I Learn?

  • Exam Format : 50 questions, 70% passing, 90 minutes, online proctored exam

About the instructor

0 (0 ratings)

70 Courses

8 students

AIC_AI-Program-Director-Practitioner
$99.00

Material Includes

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

Requirements

  • 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.

Target Audience

  • Duration: Instructor-Led: 5 days (live or virtual) / Self-Paced: 40 hours of content
The EK Academy
Redefining professional excellence through intentional, intellectual learning experiences
Stay updated
Join our newsletter for weekly insights.
Something went wrong. Try again.
You’re subscribed ✔

© 2026 The EK Academy. Designed for Intellectual Excellence.

Course Advisor
Scan the code