GlaKam’s Generative AI in Project Management
Course Overview:
This course is designed to equip professionals with the knowledge and skills needed to effectively utilize Generative AI (GenAI) in project management. Participants will learn how to integrate AI tools to enhance project planning, execution, monitoring, and reporting, leading to improved efficiency and decision-making.
Course Objectives:
- Understand the fundamentals of Generative AI and its applications in project management.
- Explore various GenAI tools and platforms suitable for project management tasks.
- Learn how to apply GenAI in project planning, risk management, and resource allocation.
- Develop skills to use GenAI for project monitoring, reporting, and decision support.
- Understand ethical considerations and best practices for implementing AI in projects.
Target Audience:
Project managers, team leaders, project coordinators, and professionals involved in project management within an organization.
Course Duration:
- 5 Days (8 hours per day)
Registration Details:
- Early bird discounts are available for registrations before Aug 30th 2024
Fill out the form below to register for the course.
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Course Modules:
Module 1: Introduction to Generative AI
- Overview of Generative AI and its capabilities.
- The role of AI in modern project management.
- Case studies: Successful applications of GenAI in project management.
Module 2: AI Tools and Platforms
- Survey of popular GenAI tools (e.g., OpenAI’s GPT, Google’s BERT).
- Hands-on exploration of AI tools for project management.
- Integrating AI tools with existing project management software.
Module 3: Project Planning and AI
- Using GenAI for project scoping and planning.
- AI-driven risk analysis and mitigation strategies.
- Resource allocation and scheduling with AI support.
Module 4: Execution and Monitoring
- Implementing AI for real-time project monitoring.
- AI in communication and collaboration tools.
- Using AI to generate project status reports and insights.
Module 5: AI for Decision Support and Reporting
- Decision-making models enhanced by AI.
- Predictive analytics for project outcomes.
- Generating comprehensive project reports with AI.
Module 6: Ethical Considerations and Best Practices
- Understanding biases and ethical concerns in AI.
- Data privacy and security in AI applications.
- Best practices for sustainable and ethical AI use in projects.
Learning Activities:
- Interactive lectures and discussions.
- Hands-on workshops and tool demonstrations.
- Group activities and case study analysis.
- Practical project assignments using AI tools.
Assessment:
- Participation in hands-on activities and workshops.
- Group project: Developing an AI-enhanced project plan.
- Final assessment: Presentation and report on AI application in a project management scenario.
Certification:
Participants will receive a certificate of completion upon successfully completing the course and passing the assessments.
Instructor(s):
- Jason Kamau, AI and Project Management Expert
- Data Scientist and AI Specialist
Prerequisites:
- Basic understanding of project management principles.
- Familiarity with project management software and tools.
Resources Provided:
- Course materials and handouts.
- Access to AI tools and platforms for hands-on practice.
- Reading list for further study and exploration.
Contact Information: For more information, please get in touch with james@glakamprofessionalpathways.com
Why Glakam Professional Pathways
- GlaKam is nationally recognized for its academic excellence
- Live instructor-led virtual class sessions offered every other week
- 24/7 classroom access and no mandatory login times
- Courses taught by industry practitioners
- Upon successful completion of the course assignments and final exam, you will receive a digital certificate of completion.
