AI+ Project Management Practitioner ™ - eLearning (exam included)
448,00 EUR
- 40 hours
Lead Projects with Intelligent Precision Elevate your project management skills for the AI era with the AI+ Project Management Practitioner™ certification — a practical, hands-on program that blends traditional project management fundamentals with powerful AI capabilities. You’ll learn how to integrate AI into planning, scheduling, tracking, risk detection, and reporting to improve predictability, streamline workflows, and reduce manual effort. Through real-world scenarios, labs, and case studies, this course equips you to confidently harness AI-enhanced tools for smarter project delivery — from forecasting timelines and optimizing resources to enhancing governance and stakeholder alignment. Ideal for project managers, team leads, and professionals involved in project execution, this certification prepares you to lead with AI-augmented insights and drive better outcomes in any delivery environment.
Key Features
Language
Course and material in English
Level
Intermediate level (Category: AI+ Practitioner)
Access
1 year access to the platform 24/7
40 hours of video lessons & multimedia
60 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
Strengthen Project Foundations with AI
Enhance your project management capabilities by combining AI-powered planning tools with practical, data-driven decision support for smarter execution.
Learning Outcomes
At the end of this course, you will be able to:
AI-Enhanced Project Planning
Discover how AI strengthens scheduling accuracy, improves effort estimation, and refines task prioritization for more reliable project execution.
Smart Project Monitoring & Automation
Explore AI-powered solutions that enable real-time progress tracking, automated updates, and streamlined reporting.
Proactive Risk Identification
Learn how to detect potential delays and emerging risks early by leveraging AI-driven analytics and trend recognition
Optimized Resources & Workflows
Use AI tools to distribute workloads effectively, maximize resource utilization, and simplify daily project operations
Ethical & Responsible AI in Projects
Build understanding of responsible AI practices, including data governance, compliance considerations, and ethical decision-making in project settings.
Tools explored
- Python for Project Analytics
- Machine Learning Libraries for Project Insights (Scikit-learn, TensorFlow)
- Project Data Handling Tools (Pandas, NumPy)
- Visualization Platforms for Project Dashboards (Power BI, Tableau)
- Project Data Storage using SQL & NoSQL Databases
- APIs for Project and Workflow Integration
- Cloud Platforms for AI-Enabled Project Management (AWS & Azure Services)
- OpenAI & LangChain for AI-Assisted Project Tools
Course timeline
Project Management Overview
Lesson 1
- Introduction to project management fundamentals
- Understanding the project management lifecycle
- Advanced project management activities
- Overview of key project management frameworks
- Roles and responsibilities of a project manager
Introduction to AI and ML
Lesson 2
- Fundamentals of Artificial Intelligence (AI)
- Basics of Machine Learning (ML)
- Introduction to neural networks
- AI and ML applications and emerging trends
- Real-world case studies of AI and ML projects
Data-Driven Decision Making
Lesson 3
- The role of data in AI systems
- Core data analysis techniques
- Applying data insights to project decision-making
- Tools for data visualization and reporting
- Key challenges and best practices
AI-Driven Project Risk Management
Lesson 4
- Overview of AI in risk management
- AI-powered risk mitigation and response strategies
- Managing financial and resource risks with AI
- Future trends in AI-based risk management
- Case study on AI-enabled project risk management
AI for Work Breakdown & Project Scheduling
Lesson 5
- Introduction to Work Breakdown Structure (WBS)
- Using AI to create WBS
- AI applications in project scheduling
- Resource-constrained scheduling with AI
- Case studies on AI-driven WBS and scheduling algorithms
Effective Project Budgeting Using AI
Lesson 6
- Introduction to AI in budgeting
- AI for cost estimation and budget allocation
- Budget optimization using AI tools
- Future outlook of AI in project budgeting
- Case studies on AI-based scheduling and cost estimation models
AI for Human Resource Planning
Lesson 7
- Introduction to AI in HR planning
- Workforce allocation using AI
- AI for skill matching and performance analysis
- Future of AI in HR planning
- Case studies on AI-based HR planning models
Stakeholder Management Using AI
Lesson 8
- Foundations of stakeholder management with AI
- AI-driven stakeholder identification and categorization
- Managing stakeholder conflicts using AI
- Ethical considerations and future outlook
- Case studies on AI tools for stakeholder management
AI-Based Project Monitoring
Lesson 9
- Introduction to AI in project monitoring
- AI tools for tracking project progress
- AI applications in risk monitoring
- Case studies on AI-enabled project monitoring
Transformative Role of AI in Project Management
Lesson 10
- Current state of AI adoption in project management
- Ethical considerations in AI-driven projects
- Technical challenges in AI integration
AI Agents for Project Management Practitioner
Additional Module
- Understanding AI agents
- How AI agents function
- Applications and emerging trends of AI agents in project management
- Core characteristics of AI agents
- Importance of AI agents in project environments
- Types of AI agents
- Case study: AI agents for Agile project delivery (Atlassian example)
- Hands-on practical activity
Who Should Enroll in this Program?
Future Project Managers: Professionals aiming to establish solid project management fundamentals while learning how AI enhances modern workflows.
Junior Project Practitioners: Coordinators, analysts, and entry-level PMs who want to strengthen planning, monitoring, and reporting capabilities with AI-powered tools.
Business & Technical Contributors: Team members involved in project delivery who are interested in leveraging AI to better manage schedules, resources, and potential risks.
Team Leaders & Supervisors: Managers overseeing projects who want improved visibility, smarter insights, and data-supported decision-making through AI integration.
Career Transitioners into AI-Driven Roles: Professionals preparing to adapt to evolving project environments where AI-enabled systems and analytics are becoming standard practice.
More Details
Prerequisites
- Foundational knowledge of core project management concepts and methodologies.
- Familiarity with common project management tools, practices, and techniques.
- Basic awareness of artificial intelligence concepts, such as machine learning and predictive analytics.
- Some experience leading or coordinating projects, ideally within a business or technical setting.
- Openness to adopting and applying AI-driven tools to improve project performance and efficiency.
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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