5 dagen
Officieel examen
Praktijkgerichte training met individuele begeleiding
AI+ Program Director – Practitioner™
Instructor-led OR Self-paced course + Official exam + Digital badge
- Individuele begeleiding door een trainer uit de praktijk
- Cursus, examen en begeleiding in één traject
- Studielast 5 dagen
Al 27+ jaar praktijkgerichte IT-opleidingen met individuele begeleiding
Schrijf je in
Erkend opleider en partner van
164
cursussen in ons aanbod
±200
gecertificeerde trainers
27+
jaar ervaring, sinds 1999
3
leslocaties in Nederland
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.
Het programma
Dit leer je tijdens de training
Geen theorie om de theorie. Elke module eindigt met een opdracht die je direct in je eigen praktijk gebruikt.
Na deze training
Wat je na deze training kunt
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
Opgebouwd van basis naar toepassing, met opdrachten uit je eigen praktijk.
Module 1: Foundations of AI for Program Strategy – Introduction
- 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
Module 2: Identifying AI Opportunities & Use Cases
- 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
Module 3: Governance & Ethics in AI
- 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
Module 4: AI Project Lifecycle & Integration
- 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
Module 5: Data Strategy & Infrastructure for AI
- 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
Module 6: AI Integration — Build vs Buy vs Partner
- 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)
Module 7: AI Risk Management & Compliance
- 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
Module 8: AI Tools & Techniques for Project Management
- 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
Module 9: Leadership in AI
- 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
Module 10: 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.
Module 11: Future Trends in AI
- 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
Module 12: Capstone Project & Presentation
- 12.1 Capstone Project Overview
- 12.2 Presentation & Feedback
- 12.3 Final Review & Certification – Method, Process, and Feedback Mechanism
Tools you will explore
- 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
Studielast
5 dagen
Met individuele begeleiding van je trainer.
Leervorm
Instructor-led OR Self-paced course + Official exam + Digital badge
Examen en 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.
Samenvatting
Alles op een rij
AI+ Program Director – Practitioner™
5 dagen
Officieel examen
- 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.
Veelgestelde vragen
Vragen over deze training
Heb ik technische voorkennis nodig?
Nee. Je hoeft niet te kunnen programmeren. Ervaring met Microsoft 365 in je dagelijkse werk is voldoende.
Is het certificaat erkend?
Bij trainingen met examen ontvang je na het behalen een officiële digitale badge van de certificeringspartij, zoals AI CERTs. OC ICT verzorgt als geautoriseerd trainingspartner de training en het examen.
Kan ik de training ook online volgen?
Ja. Naast de klassikale variant in Nieuwegein zijn er virtuele sessies (Virtual Classroom Training). Je zit dan live in de les met dezelfde trainer.
Wat als ik verhinderd ben op de gekozen datum?
Verschuiven naar een andere datum kan volgens onze algemene voorwaarden. Neem contact op met onze servicedesk, dan regelen we het samen.
Kunnen we deze training met het hele team volgen?
Ja. Voor teams verzorgen we deze training incompany, afgestemd op jullie organisatie en cases. Vraag een voorstel aan en we plannen een intake.
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Klaar om te starten?
Eén traject met cursus, examen en individuele begeleiding. Schrijf je in of stel eerst je vraag.