IT Project Management
Course Program and Participation Fee.
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IT Project Management
€ 2100
Strategies, Skills, and Tools for Leading Technology Projects in the Digital Age.
Master key project management methodologies and tools — from traditional approaches (PMBOK, Waterfall) to agile frameworks (Agile, Scrum, Kanban) and hybrid models.
Learn to apply digital and AI-powered tools for planning, automation, risk analysis, and improving overall project efficiency.
Develop leadership skills and team management strategies tailored to the dynamic IT environment.
Executive Program: IT Project Management
Objective:
To provide participants with in-depth, practice-oriented expertise in managing IT projects using both classical and agile methodologies (PMBOK, Waterfall, Agile, Scrum, Kanban), as well as leveraging artificial intelligence (AI) to enhance planning, execution, and performance.
Languages: Russian and English
Duration: 72 academic hours (9 weeks)
Tuition Fee: €2100 (VAT excluded)
Format: Online (Zoom) – 2 sessions per week + individual support
Group Size: 3–8 participants
Target Audience:
Early-career and current project managers, mid-level IT and digital managers, startup founders, coordinators of innovation and short-term initiatives, and professionals transitioning into IT project leadership roles.
Program Structure
Module 1: Project Management Fundamentals in IT
- Key concepts and functions of IT project management
- Overview of traditional approaches (PMBOK, Waterfall)
- Project lifecycle and Software Development Life Cycle (SDLC)
- Organizational structures and role distribution in IT projects
Module 2: Project Initiation and Planning
- Defining project scope, objectives, stakeholders, and business outcomes
- Project planning: tasks, resources, timelines, budgeting, Gantt charts
- Time and risk management techniques
- Key performance indicators (KPIs) for project monitoring
- AI Integration in Planning:
- Schedule automation and optimization
- AI assistants (ChatGPT, GitHub Copilot, Notion AI)
- AI-powered forecasting for timelines and resource needs
Module 3: Methodologies and Digital Tools
- Agile principles and frameworks: Scrum, Kanban, Lean
- Scrum mechanics: roles, sprints, ceremonies, retrospectives
- Kanban visualization and WIP management
- Hybrid models: combining Agile and Waterfall for complex environments
- Overview of digital tools: Jira, Trello, Asana, Miro, Confluence
- AI in Project Execution:
- AI-generated task flows, documentation, technical briefs
- AI-based risk analysis and stakeholder feedback synthesis
Module 4: Execution, Team Management, and Quality Control
- Managing distributed and hybrid teams
- Communication strategies and facilitation techniques
- Monitoring tools, reporting systems, change control
- Quality assurance best practices
- Ethical use of AI in project environments
Module 5: Project Closure and Leadership Development
- Project closure: evaluations, lessons learned, final reporting
- Career pathways in IT project management
- Essential leadership and soft skills for modern PMs
- Stakeholder engagement and strategic communication
- Innovation management in startups and digital teams
- AI for Professional Growth:
- Using AI for personal productivity and self-management
- Task planning and progress tracking with AI tools
✅ Learning Outcomes
Upon successful completion of the program, participants will be able to:
Cultivate leadership skills and advance their professional profile in IT
Manage IT projects effectively across the full lifecycle
Apply Agile and traditional project management frameworks appropriately
Utilize AI technologies to increase efficiency and reduce risk
Lead cross-functional and remote teams with confidence
Design and execute project plans aligned with strategic business goals
Present and communicate results to stakeholders at various levels