AI+ Agile Project Management Fundamentals™ - eLearning (exam included)
275,00 EUR
- 16 hours
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.
Key Features
Language
Course and material in English
Level
Beginner-Intermediate level
Access
1 year access to the platform 24/7
8 hours of video lessons & multimedia
16 hours of study time recommendation
eBooks, Audiobooks, Podcasts
Quizzes, Assessments, and Course Resources
Exam
Online Proctored Exam with One Free Retake
Certificate
Certification of completion included
Reimagine Agile Project Delivery
Learn how AI-driven insights enhance backlog refinement, sprint forecasting, and resource distribution to achieve more reliable delivery outcomes.
Learning Outcomes
At the end of this course, you will be able to:
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.
Course timeline
Foundations of AI in Agile Project Management
Lesson 1
- 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
Data Literacy for Agile Leaders
Lesson 2
- 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
AI for Resource & Team Optimization
Lesson 3
- 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
Predictive Analytics in Agile Environments
Lesson 4
- 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
AI-Enhanced Project Monitoring & Reporting
Lesson 5
- 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
Ethics, Bias & Compliance in AI-Driven Projects
Lesson 6
- 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
Selecting & Implementing AI Tools in Agile Projects
Lesson 7
- 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
Emerging Trends in AI & Agile Project Management
Lesson 8
- 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
Tools explored
- ChatGPT
- Google Gemini
- Microsoft Copilot
- Trello AI
- Jira Free Tier
- ClickUp
- Notion AI
- GitHub Copilot
- Slack AI Integrations
- Burndown & Sprint Analytics Dashboards
- Google Sheets with AI Add-ons
- Power BI
- Tableau Public
- Python
- Pandas
- Scikit-learn
- TensorFlow
- AutoML Tools
- Miro AI
- Zapier
Who Should Enroll in this Program?
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.
More Details
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
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.
Frequently Asked Questions
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