AI Project Management
Learn to design, manage, and scale AI projects with effective strategies for optimizing performance, mitigating risks, and addressing ethical challenges.
Learn to design, manage, and scale AI projects with effective strategies for optimizing performance, mitigating risks, and addressing ethical challenges.
This comprehensive course equips professionals with the tools and strategies to successfully design, manage, and scale AI projects in real-world environments. Covering the entire lifecycle of AI project management, from resource planning to deployment, the course emphasizes effective practices for optimizing performance, minimizing risks, and addressing ethical challenges. Learners will explore key management principles such as balancing scalability with budget constraints, mitigating biases in AI systems, and fostering team collaboration. The course uniquely focuses on both technical and human aspects of AI project management, analyzing labor dynamics of AI adoption and exploring strategies to create cognitively diverse teams. Through case studies and practical examples, participants gain actionable knowledge to confidently lead AI initiatives, whether scaling existing projects or implementing new ones.
Instructors:
English
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What you'll learn
Design scalable AI projects by balancing technical and managerial considerations
Apply effective management strategies including Agile methodologies for large-scale AI initiatives
Assess AI's impact on labor dynamics including automation and role transitions
Build cognitively diverse teams for optimal project outcomes
Develop comprehensive risk mitigation strategies for AI implementations
Implement sound financial planning and cost estimation for AI projects
Skills you'll gain
This course includes:
6.7 Hours PreRecorded video
9 assignments
Access on Mobile, Tablet, Desktop
Batch access
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Top companies offer this course to their employees
Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.
There are 4 modules in this course
The course "AI Project Management" provides a comprehensive exploration of managing AI projects at scale, covering both technical and human aspects of implementation. The curriculum begins with an examination of AI's impact on labor, analyzing common roles, skill requirements, and emerging trends in AI workforces. It then delves into designing scalable AI projects, addressing resource allocation, cost estimation, and performance indicators. Finally, students learn effective management strategies, including Agile methodologies, risk mitigation, stakeholder engagement, and change management. Throughout the course, real-world examples and case studies illustrate practical applications, ensuring learners develop actionable skills for leading successful AI initiatives.
Course Introduction
Module 1 · 9 Minutes to complete
AI Impacts on Labor
Module 2 · 5 Hours to complete
Designing At-Scale AI Projects
Module 3 · 4 Hours to complete
Managing At-Scale AI Projects
Module 4 · 5 Hours to complete
Fee Structure
Instructor
Professor or Instructor in Artificial Intelligence and Statistical Methods
Ian McCulloh is associated with Johns Hopkins University and is involved in courses related to artificial intelligence, probability, and statistical methods. His expertise likely spans AI project management, social media analytics, and foundational concepts in AI. He may also be involved in teaching or research related to neuroscience and social computing. If Ian McCulloh is a specific instructor, more detailed information about his background or specific courses taught would be needed to provide a more accurate description.
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