Artificial intelligence is reshaping the way projects are managed, offering unprecedented opportunities to improve efficiency, accuracy, and outcomes. This course begins with an introduction to AI’s role in project management, exploring how machine learning, natural language processing, and predictive algorithms can transform traditional approaches. You’ll learn about the key components of AI-driven projects and how to develop a strong business case for adopting these innovations.

As you progress, the course delves into practical applications of AI in automating project tasks, analyzing data, and predicting results. Participants will gain hands-on experience with tools that leverage machine learning to forecast project success, improve productivity, and resolve potential failures. Additionally, you’ll discover how generative AI and large language models can enhance communication, planning, and decision-making throughout the project lifecycle.

Finally, the course examines the broader implications of integrating AI into project management. You’ll explore strategies for acquiring AI solutions, implementing them within teams, and navigating the ethical challenges they present. By the end of the course, participants will have a clear understanding of how to leverage AI to optimize projects and stay competitive in a rapidly evolving technological landscape.

Osoby które kupowały "Applying Artificial Intelligence in Project Management. Harness the power of AI to transform project management practices", wybierały także:

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• Ruby on Rails. Ćwiczenia 18,75 zÅ‚, (3,00 zÅ‚ -84%)
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Spis treści

Applying Artificial Intelligence in Project Management. Harness the power of AI to transform project management practices eBook -- spis treści

• 1. Why Project Management Needs AI
• 2. Two AI Components for Projects
• 3. The Business Case for AI
• 4. Automating Project Management Tasks
• 5. Providing Good Project Data
• 6. Acquiring and Using Data
• 7. Predicting Project Results Using Machine Learning Algorithms and Supervised Learning to Predict Results
• 8. Improving Project Productivity With NLP
• 9. Generative AI and Large Language Models
• 10. Genetic Algorithms for Project Navigation
• 11. Project Initiation, Planning, Delivery, and Close
• 12. Project Control and Project Termination
• 13. AI for Agile Process Effectiveness
• 14. Applying AI to Resolve Project Failure
• 15. The Build or Buy Decision
• 16. Evaluating and Acquiring AI Software
• 17. Implementing AI Solutions
• 18. Changes to Roles of the Project Manager, PMO, and Project Team
• 19. Ethical Implications of AI in Project Management
• 20. The Rapid Advance of AI Technology
• 21. Conclusion