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.
- Trainer uit de praktijk, uit ons netwerk van 200+ trainers
- Klassikaal op locatie of live virtueel te volgen
- Betalen op factuur, annuleren volgens heldere voorwaarden
- Ook incompany voor je hele team
Ruim 5.000 cursisten per jaar volgen een training bij ons
Voor wie
Voor wie is deze training
AI Project Managers: Ideal for project managers looking to lead AI initiatives and ensure successful implementation across organizations.
Business Leaders: For executives and managers aiming to integrate AI into business strategies and drive operational efficiency.
Program Directors: Designed for program directors who want to master AI project management and lead cross-functional AI teams.
AI Professionals: For AI specialists seeking to enhance their leadership skills and move into strategic program management roles.
Change Managers: Great for professionals managing organizational change and looking to implement AI-driven transformation effectively.
De training
Dit leer je tijdens de training
Praktijkgericht, met een trainer die zelf in het veld werkt. Geen theorie om de theorie.
Na deze training
Wat deze training je oplevert
Leadership in AI Initiatives:
Gain the skills to lead AI projects, ensuring alignment with business goals and successful project execution from start to finish.
Strategic AI Integration:
Learn how to seamlessly integrate AI solutions into existing systems, driving innovation and improving operational efficiency across departments.
Optimized Program Management:
Develop expertise in managing resources, timelines, and cross-functional teams to deliver AI projects on time and within budget.
Enhanced Decision-Making:
Equip yourself with the ability to make data-driven, AI-informed decisions that drive business growth and competitive advantage.
Future-Proof Your Career:
Prepare for leadership roles in AI by mastering program management skills that are critical for navigating the rapidly evolving AI landscape.
Inhoud
Het programma
- 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
- 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
- 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)
- 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
- 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.
- 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
- 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
Praktisch
Goed om te weten
Lesmethode
Instructor-led OR Self-paced course + Official exam + Digital badge
Kenmerken
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.
Voorkennis
- 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.
Inschrijven
Alles op een rij
AI+ Program Director – Practitioner™
- Betalen op factuur mogelijk
- Verschuiven of annuleren volgens onze voorwaarden
- Ook incompany voor je hele team via maatwerk
Zekerheid
Inschrijven zonder verrassingen
Heldere voorwaarden
Verschuiven of annuleren doe je volgens onze algemene voorwaarden. Geen kleine lettertjes achteraf.
Hulp bij je keuze
Twijfel je of dit de juiste training is voor jouw rol of team? Stel je vraag, we denken met je mee.
Ook incompany
Elke training kan op maat voor je hele team, bij jullie op locatie of virtueel. Lees meer.
Veelgestelde vragen
Vragen over deze training
Kan ik de training ook virtueel volgen?
Wat als ik verhinderd ben op de gekozen datum?
Kunnen we deze training met het hele team volgen?
Kan mijn werkgever de training betalen?
Hoe weet ik of ik genoeg voorkennis heb?
Klaar om te starten?
Schrijf je in en ga aan de slag. Twijfel je nog, stel dan eerst je vraag.