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AI+ Program Director – Practitioner™

AI+ Program Director – Practitioner™
  • 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.
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Certificate Code

AP 110001

Exam Format

AI-Driven Remote Exam Proctoring

Course Overview

Important details and certification information

Instructor-led OR Self-paced course + Official exam + Digital badge
Instructor-Led: 3 Days (live or virtual)
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.
50 questions, 70% passing, 90 minutes, online proctored exam

Certification Modules

  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

  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

  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

  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

  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

  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)

  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

  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

  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

  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.

  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

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

AI Tools Covered

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
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