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AI+ Agile Project Management Fundamentals (AP-110002)

This certification teaches you how to combine Agile project management with AI tools to plan, monitor, and improve projects.

You’ll learn how AI can support sprint planning, resource management, forecasting, reporting, and risk management. The course also covers responsible AI use in project environments.

Overview

Overview

Agile teams often work with changing priorities, tight deadlines, and limited resources. AI can help teams respond to these challenges with better information. This course shows you how to use AI across common Agile project management activities. You’ll explore planning, forecasting, resource allocation, monitoring, and reporting. 

You’ll also learn how to evaluate AI tools and consider issues such as bias, transparency, and data protection. Practical exercises help you apply these concepts to sprint planning, resource forecasting, project dashboards, and remote team collaboration.

Prerequisites
  • Basic understanding of the project lifecycle and project management principles
  • Familiarity with Agile methods such as Scrum and Kanban
  • Basic knowledge of AI and its common applications
  • Strong problem-solving skills
  • Experience working with cross-functional teams
  • Clear communication and time management skills
  • Willingness to adapt as project needs and tools change
Target Audience
  • AI project managers leading projects with Agile methods
  • Project managers who want to introduce AI into existing workflows
  • Agile practitioners looking to improve planning and project delivery
  • Team leaders focused on collaboration and productivity
  • Project planners working in fast-changing environments
  • Cross-functional team members exploring AI and Agile project management
  • Professionals interested in improving project processes with AI
Exam Blueprint
  • Fundamentals of AI in Agile Project Management – 7%
  • Data Literacy for Agile Project Managers – 15%
  • AI for Resource and Team Management – 15%
  • Predictive Analytics in Agile Project Management – 15%
  • AI in Project Monitoring and Reporting – 12%
  • Ethics, Bias, and Regulation in AI for Project Management – 12%
  • Evaluating and Implementing AI Tools in Agile Projects – 12%
  • Future Trends and AI in Agile Project Management – 12%
FAQs

1. Can the course be taken online?
Yes, the course is available through live virtual instructor-led training or a self-paced online learning option.

2. Will I learn how to use AI for project monitoring and reporting?
Yes, the course covers real-time project monitoring, automated reporting, performance tracking, and dashboard creation for Agile teams.

3. Is in-person training available?
Yes, classroom training is available through AI CERTs Authorized Training Partners.

4. Will I receive official course materials?
Yes, participants receive learning materials, course resources, assessments, and an exam study guide.

Course Outline

Module 1: Fundamentals of AI in Agile Project Management

  • Advanced AI Algorithms for Agile
  • Machine Learning for Real-Time Project Adjustments
  • Deep Learning for Agile Project Management
  • Synergy Between AI and Agile
  • AI-Enhanced Decision-Making
  • AI for Resource Allocation
  • Case Study: AI-Enhanced Sprint Planning

 

Module 2: Data Literacy for Agile Project Managers

  • Big Data in Agile
  • Integrating Big Data into Agile Workflows
  • Predictive Analysis Using Project Data
  • Data-Driven Decision Models
  • AI-Driven Agile Metrics
  • Project Forecasting with AI
  • Tracking Key Project Metrics
  • Case Study
  • Hands-On Simulation: AI-Driven Sprint Prediction

 

Module 3: AI for Resource and Team Management

  • Predictive Resource Management
  • Machine Learning for Resource Forecasting
  • Forecasting Resource Needs
  • Optimizing Team Schedules
  • AI-Driven Decision Models
  • Predicting Sprint Success
  • Dynamic Timeline Adjustments
  • AI-Recommended Project Strategies
  • AI-Driven Agile Metrics
  • Hands-On: Forecasting Resource Demand and Capacity

 

Module 4: Predictive Analytics in Agile Project Management

  • Deep Learning for Predictive Modelling
  • Predicting Project Success
  • AI-Based Project Risk Prediction
  • Forecasting Resource Shortages
  • Forecasting Project Delays
  • Using Historical Data Patterns for Forecasting
  • Hands-On Simulation: Managing Resource Shortages and Forecasting Delays

 

Module 5: AI in Project Monitoring and Reporting

  • Real-Time Monitoring with AI
  • Ongoing Project Performance Analysis
  • AI-Enhanced Reporting
  • Automated Project Status Reports
  • Automated Team Productivity Reports
  • Actionable Project Insights
  • Hands-On Simulation: Building an Interactive Agile Sprint Monitoring Dashboard

 

Module 6: Ethics, Bias, and Regulation in AI for Project Management

  • Advanced Ethical Considerations in AI
  • Transparency in AI-Driven Decisions
  • Unintended Consequences of AI Predictions
  • Bias and Ethical Risk in AI Models
  • Regulatory Compliance in Agile AI
  • GDPR Considerations
  • Ethical AI in Resource Allocation
  • Case Study
  • Hands-On Simulation: Assessing Ethical Risks and Compliance

 

Module 7: Evaluating and Implementing AI Tools in Agile Projects

  • AI Tool Evaluation Framework
  • Evaluating AI Tools Based on ROI
  • Measuring AI Tool Effectiveness
  • Assessing Adaptability in Agile Environments
  • Selecting AI Tools for Agile Project Management
  • Change Management Strategies for AI in Agile
  • Hands-On Simulation: Evaluating AI Tools for Agile Project Management

 

Module 8: Future Trends and AI in Agile Project Management

  • The Future of Autonomous Project Management
  • AI-Assisted Project Decision-Making
  • Transition from Decision Support to Autonomous Decision-Making
  • AI for Remote Agile Teams
  • AI for Distributed Agile Teams
  • Improving Remote Team Collaboration with AI
  • AI-Driven Task Allocation
  • Hands-On Simulation: Optimizing Collaboration and Task Allocation for Remote Teams
Note : A representative from Datacipher will contact you with further details
Payment Methods

At DataCipher, we offer a variety of payment options for our Fortinet courses. Here are the methods available:

Purchase Order (PO) – If your organization prefers using a purchase order, begin the registration process by clicking the Register button. At the conclusion of the registration form, choose the option “My company will pay for it, please send an invoice with the payment details.” Our training team will then provide an official quote and any necessary additional information that your accounts department might need to issue the PO.

Bank Transfer – DataCipher maintains bank accounts in both the US and Europe, accommodating all standard bank transfer methods such as IBAN/BIC, Swift, ACH, or wire transfer. To make a payment via bank transfer, simply use the Register button to sign up for your selected course.

Credit Card Payments – We accept payments from all major credit cards, including Mastercard, VISA, American Express, Discover & Diners, and Cartes Bancaires. Payments can be made directly through the registration link or by requesting an invoice that includes a web link for online payment. All transactions are secure, and DataCipher does not store any credit card information.

These options are designed to make the registration process as smooth and flexible as possible for all participants.

Status

Guaranteed to Run – DataCipher is committed to running this class unless unforeseen events such as an instructor’s accident or illness occur.

Guaranteed on Next Booking – The course will proceed once an additional student registers.

Scheduled Class – We have scheduled this course and rarely cancel due to low enrollment. We offer a “Cancel No More Than Once” guarantee, ensuring that if a class is canceled due to insufficient enrollment, the next session will run regardless of the number of attendees.

Sold Out – If the class is fully booked, please use our contact form to join the waiting list or to inquire about additional sessions. We’re here to accommodate your training needs and keep you informed of new opportunities.

Half and Full-Day Training

At DataCipher, we offer our training courses in both traditional full-day and convenient half-day formats. Our half-day classes are specifically designed for IT professionals who cannot be away from their workplaces for consecutive full days. This flexible schedule allows participants to dedicate a few hours to learning and then return to their regular work responsibilities.

The curriculum for both the full-day and half-day formats is identical. The primary difference is that the half-day classes spread the coursework over a more extended period, providing a balanced approach to professional education. DataCipher has been successfully running these half-day training sessions for several years, receiving consistently positive feedback from our customers. They appreciate the flexibility and report that the extended timeframe facilitates a deeper understanding of the material, as it gives them more time to absorb and reflect on the information learned.

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