The AI in Project Management course focuses on practical methods for applying artificial intelligence in project planning, management, and optimization.
When working on projects, it is possible to significantly increase efficiency through the use of AI. AI readiness in project management is becoming a key factor for success. By 2030, 80% of project management work will be performed by AI (Gartner). This change will enable project managers to manage projects much more efficiently by automating tasks, acquiring and utilizing knowledge from large datasets, and accelerating processes. This course provides current and future project managers with practical skills in working with generative AI tools, enabling them to significantly increase the efficiency of their projects.
- Under the guidance of an experienced trainer, participants apply the content mainly using simulations and examples from practice .
- Top trainers with experience and experts in their field.
- Examples of using generative AI.
The working methods used in training programs are chosen to ensure interactivity, adapt the content to the needs of the participants, and prioritize the transfer of knowledge into practice.
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Prepare to work with generative AI and significantly increase your effectiveness as a project manager.
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Gain an overview of modern AI tools and their use throughout the entire project management lifecycle.
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Acquire practical skills in using generative AI to manage projects with the support of artificial intelligence.
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Understand the possibilities and limitations of AI in project management and identify the project areas where AI delivers the highest added value.
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Develop an action plan for integrating AI into your own project environment.
Practical Use of Generative AI for Project Managers
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Core pillars of Artificial Intelligence (AI) – basic understanding for more effective application.
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Prompt engineering – how to choose and prompt models for the most effective and usable responses.
Managing Projects with AI
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AI for increasing efficiency in routine tasks and supporting complex project manager responsibilities: risk management, stakeholder engagement, creating WBS, preparing reports, and more.
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Benefits of AI for project teams: intelligent resource allocation and optimization, improved communication and collaboration with AI assistants.
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Working on a use case with selected AI tools.
AI Tools and Their Practical Application
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Overview of tools for big data analysis, trend and risk prediction, and automated reporting for strategic decision-making.
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Specialized ChatGPT model versions and Copilot Pro agents with expertise tailored to your projects.
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Integrating Copilot Pro into MS Planner to create WBS and project plans using AI.
Examples, Exercises, and Implementation
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Best practices for AI in project management.
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Discussion of various approaches to AI and adapting to the specific needs of your organization.
For course participants, we offer the possibility of subsequent application support in the form of individual consultation with a lecturer or in the form of workshops directly at the client.