AI+ Agile Project Management Fundamentals™ - eLearning (exam included)

AI+ Agile Project Management Fundamentals™ - eLearning (exam included)

Deliver Agile Projects with AI Confidence

Prepare for the future of agile delivery with the AI-Powered Agile Project Management Fundamentals certification — a foundational program that equips you with the skills to integrate artificial intelligence into agile practices. Learn how AI can enhance sprint planning, backlog prioritization, team workflows, and performance tracking to accelerate delivery and elevate team collaboration. Through practical examples, real-world scenarios, and hands-on activities, you’ll discover how AI tools improve decision-making, surface risks early, and optimize team capacity — all while staying true to agile principles. Whether you’re an aspiring Scrum Master, agile team member, product owner, or project professional, this course gives you the confidence to lead smarter, data-driven agile initiatives and deliver value faster.

Reimagine Agile Project Delivery

• Intelligent Sprint Planning: Learn how AI-driven insights enhance backlog refinement, sprint forecasting, and resource distribution to achieve more reliable delivery outcomes.
• Optimized Agile Workflows: Leverage AI tools to monitor progress, detect bottlenecks early, and automate repetitive tasks for smoother execution.
• Insight-Led Decision Making: Develop the ability to interpret real-time performance data, risk indicators, and team metrics using AI-powered analytics.
• Stronger Team Alignment: Utilize smart communication and reporting solutions to boost transparency, stakeholder engagement, and cross-team collaboration.
• Proactive Risk Control: Apply AI techniques to forecast potential delays, cost overruns, and scope changes—allowing for timely adjustments and mitigation planning.

Why This Certification Is Valuable

• Growing Need for AI-Enabled Agile Leaders: As organizations integrate AI into operations, they require project professionals who can deliver flexible, technology-driven results at speed.
• Accelerated Delivery Cycles: Agile methodologies empower teams to iterate rapidly, minimize delays, and respond effectively to changing stakeholder demands.
• Data-Backed Decision Making: AI-driven insights enhance forecasting, planning accuracy, and risk evaluation for more reliable project outcomes.
• Stronger Team Synergy & Visibility: Agile approaches encourage collaboration, open communication, and transparent tracking of progress across teams.
• Lower Risk and Greater Cost Efficiency: Ongoing feedback loops, automation, and incremental delivery help reduce rework, optimize spending, and proactively manage risks.

Key Features

• Course and material in English
• Intermediate level (Category: AI+ Professional)
• 1 year access to the platform 24/7

• 8 hours of video lessons & multimedia resources
• 16 hours of study time recommendation
• eBooks, Audiobooks, Podcasts
• Quizzes, Assessments, and Course Resources
• Online Proctored Exam with One Free Retake included
• Certification of completion included

Tools You’ll Explore:

• ChatGPT
• Google Gemini
• Microsoft Copilot
• Trello AI
• Jira Free Tier
• ClickUp
• Notion AI
• GitHub Copilot
• Google Sheets with AI Add-ons
• Power BI
• Tableau Public
• Python
• Pandas
• Scikit-learn
• TensorFlow
• AutoML Tools
• Miro AI
• Zapier
• Slack AI Integrations
• Burndown & Sprint Analytics Dashboards

What You Will Learn

• AI-Driven Agile Planning
• Explore how to embed AI tools into sprint planning, backlog refinement, and resource management to enhance forecasting precision and team efficiency.
• Intelligent Workflow Automation
• Develop the skills to automate routine activities such as progress tracking, reporting, and documentation—freeing teams to focus on strategic priorities.
• Insight-Led Decision Making
• Learn how AI-powered analytics can interpret project data, anticipate risks, and enable faster, evidence-based decisions across the project lifecycle.
• Advanced Risk & Issue Management
• Understand how smart technologies can detect bottlenecks, dependencies, and potential delays early—supporting proactive problem-solving and seamless delivery.
• NLP for Smarter Collaboration
• Utilize natural language processing tools to summarise discussions, capture action items, and strengthen communication within distributed Agile teams.
• Predictive Sprint Optimization
• Apply AI techniques to project sprint results, analyze velocity patterns, and continuously improve overall team performance.

Target Audience

• Project Managers: Professionals eager to incorporate AI-powered tools into Agile practices to strengthen planning accuracy, forecasting, and overall delivery performance.
• Scrum Masters: Practitioners who want to improve sprint productivity, streamline reporting processes, and leverage AI insights for better team decisions.
• Product Owners: Individuals looking to apply AI for smarter backlog refinement, deeper customer understanding, and value-driven product strategies.
• Business Analysts: Professionals aiming to use AI for enhanced requirements analysis, proactive risk prediction, and more effective stakeholder engagement.
• Agile Team Members: Developers, testers, designers, and contributors who want to enhance collaboration, automate routine work, and increase efficiency with AI-enabled support.

Prerequisites

• Foundational Project Management Knowledge: Understanding of core project lifecycle stages and essential management principles.
• Basic Agile Awareness: Familiarity with Agile frameworks such as Scrum and Kanban.
• Introductory AI Understanding: General awareness of artificial intelligence concepts and common use cases.
• Analytical & Problem-Solving Ability: Capability to navigate challenges in fast-paced, evolving project environments.
• Collaborative Team Experience: Experience working effectively within cross-functional and team-based settings.

Exam Details

• Duration: 90 minutes
• Passing :70% (35/50)
• Format: 50 multiple-choice/multiple-response questions
• Delivery Method: Online via proctored exam platform (flexible scheduling)
• Language: English

Course Content

Module 1: Foundations of AI in Agile Project Management

• Overview of essential AI concepts tailored for project professionals
• Exploring the integration of AI with Agile frameworks
• Case example: AI-supported sprint planning
• Practical session: Using AI tools for sprint planning and backlog refinement

Module 2: Data Literacy for Agile Leaders

• Identifying key project data types and sources
• Applying data-driven approaches in Agile decision-making
• Case example: Data-informed sprint retrospectives
• Simulation exercise: AI-based sprint forecasting and performance metrics analysis

Module 3: AI for Resource & Team Optimization

• Predictive approaches to resource allocation
• AI-powered performance tracking and Agile metrics
• Practical use cases: Intelligent scheduling and workload distribution
• Hands-on session: Managing team capacity through AI dashboards

Module 4: Predictive Analytics in Agile Environments

• Introduction to predictive modeling concepts
• Anticipating delays and resource constraints with AI
• Case studies: Early-stage risk identification in Agile projects
• Simulation exercise: Forecasting timelines and potential resource shortages

Module 5: AI-Enhanced Project Monitoring & Reporting

• Leveraging AI for real-time project tracking
• Smart reporting and improved stakeholder communication
• Use cases: Automated updates and performance evaluations
• Practical session: Building AI-driven reports and visual dashboards

Module 6: Ethics, Bias & Compliance in AI-Driven Projects

• Applying ethical principles in AI-supported decisions
• Recognizing and managing bias in predictive analytics
• Understanding regulatory and compliance requirements
• Hands-on exercise: Assessing AI outputs for fairness and responsible implementation

Module 7: Selecting & Implementing AI Tools in Agile Projects

• Evaluating and choosing appropriate AI solutions
• Managing change and encouraging stakeholder adoption
• Case example: AI-enabled reporting and forecasting in consulting environments
• Simulation exercise: Comparing vendors and assessing tools
• Practical exercise: Measuring AI impact using project analytics platforms

Module 8: Emerging Trends in AI & Agile Project Management

• The rise of autonomous and self-optimizing project systems
• AI applications for remote and distributed Agile teams
• Industry-inspired case studies
• Simulation exercise: Designing an AI-augmented Agile workflow

Licensing and accreditation

This course is offered by AVC according to Partner Program Agreement and complies with the License Agreement requirements.

Equity Policy

AVC does not provide accommodations due to a disability or medical condition of any students. Candidates are encouraged to reach out to AVC for guidance and support throughout the accommodation process.

FAQ

Can I immediately apply what I learn to real projects?

Yes. The course offers hands-on experience with AI-powered Agile tools, sprint planning techniques, and workflow management, so you can implement these skills directly in active projects and team settings.

What makes this course stand out from other Agile or project management programs?

It uniquely combines Agile methodologies with AI capabilities, showing you how to automate planning, enhance forecasting, optimize resources, and make data-driven decisions for faster, smarter project delivery.

What types of projects will I complete?

You’ll engage in practical exercises such as AI-assisted sprint planning, backlog prioritization, risk forecasting, workflow automation, and a capstone project simulating a full Agile project lifecycle.

How is the course designed to ensure skill mastery?

The program blends Agile theory with interactive exercises, real-world case studies, hands-on tool practice, and guided simulations, ensuring you learn by doing rather than just observing.

How does this course boost my career prospects?

You’ll gain highly sought-after skills in AI-driven Agile project management, preparing you for roles like Scrum Master, Agile Project Manager, Product Owner, or digital transformation lead across diverse industries.

How Can AVC Help Foster an AI-Ready Culture?

While AI offers significant advantages, many organizations struggle with challenges like talent gaps, complex data environments, and system integration barriers. At AVC, we understand these obstacles and have tailored our certification programs to help businesses overcome them effectively.

Our strategic approach focuses on building a culture that embraces AI adoption and innovation. Through our industry-recognized certifications and in-depth training, we equip your workforce with the skills and knowledge needed to lead your organization confidently into an AI-powered future.

Customized for Impact: Our programs aren't one-size-fits-all. We offer specialized training designed by industry experts to equip your workforce with the specific skills and knowledge needed for critical AI roles.

Practical, Real-World Learning: We prioritize hands-on experience over theory, using real-world projects and case studies. This approach ensures your team gains the confidence and capability to implement AI solutions effectively, driving innovation and measurable business outcomes.