PSLDMAIL1407 - AI-Driven Project Management: Navigating the Future
This course is designed to equip project professionals with practical knowledge and skills to effectively integrate artificial intelligence into project management practices. Participants will explore how AI can enhance productivity, streamline processes, and support data-driven decision-making in real-world project environments.
The course emphasizes the importance of a culture of experimentation, encouraging project professionals to explore innovative AI applications and learn from experience. As participants progress, they will learn how to scale AI integration to more complex projects, ensuring successful adoption and sustainable impact.
Participants will gain insights into best practices, ethical considerations, and implementation frameworks that help organizations harness AI effectively. By the end of the course, learners will be prepared to lead AI initiatives, foster innovation within their teams, and drive project success using advanced technologies.
This course is suitable for project managers, team leaders, and professionals seeking to stay ahead in a rapidly evolving digital landscape by leveraging AI for improved project outcomes and organizational growth.
Participants will complete applied, workshop-based exercises throughout the program, generating project deliverables such as a business case, a charter, a scoping document, and project schedule, culminating in a final capstone team deliverable: an executive-presentable AI initiative proposal tailored to their organization or industry.
No specialized software required. Participants should bring a wi-fi enabled laptop to access templates, worksheets, and articles provided via Canvas.
This course has been approved for 16 SHRM PDC's.
Course Details
o Understand core AI concepts and their applications in modern project management.
o Identify and utilize AI tools to enhance productivity and streamline project workflows.
o Understand the basics of prompt engineering for project professionals.
o Develop skills to analyze project data and make informed, data-driven decisions using AI technologies.
o Foster a culture of experimentation and innovation within project teams by exploring and piloting new AI solutions.
o Apply best practices and ethical considerations when integrating AI into project management processes.
o Design and implement scalable frameworks for AI adoption in increasingly complex project environments.
- A comprehensive understanding of core artificial intelligence concepts and their relevance to modern project management.
- The ability to identify and leverage AI tools to optimize project workflows and boost productivity.
- A knowledge of prompt engineering.
- Enhanced skills in analyzing project data and making informed, data-driven decisions through the application of AI technologies.
- Knowledge of best practices and ethical considerations for integrating AI into project management processes.
- Capability to design and implement scalable frameworks for AI adoption in complex project environments.
- Certificate of completion from Rice University Glasscock School of Continuing Studies
The estimated Cost of Attendance (COA) for AI for Project Management is up to $1659.
Financial assistance information can be found on Rice Financial Aid's Visiting and Continuing Education Students page.
Due to the high demand for courses, registrations are considered final as of 10 working days before class starts. No refunds will be issued after these dates and credits will not be given for future classes. No refunds will be granted for participants who miss a portion of a program. Refund requests before the deadline are subject to a 10% processing fee and must be made in writing to gscs@rice.edu. If books have been issued, the cost of the books and any shipping fees will be deducted. Refunds for credit card payments will be processed as credits to the accounts from which they were paid and may not appear as a credit until the following statement. Refunds for enrollments paid by check take up to four weeks to be processed and mailed by the Rice University accounting office. There is a $30 charge for any check returned for insufficient funds. Internal Rice University payments (FBDI) will be treated as all other registration payment transactions, and the refund policy for each program/course will apply.