AI+ Program Director – Practitioner™

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.

Módulos

  • 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

Herramientas de IA

  • 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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