The course "AI Project Management" equips learners 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.
AI Project Management
AI Project Management
This course is part of AI Strategy and Project Management Specialization
Instructor: Ian McCulloh
Included with 
Gain insight into a topic and learn the fundamentals.
Intermediate level
Recommended experience
15 hours to complete
3 weeks at 5 hours a week
Flexible schedule
Learn at your own pace
What you'll learn
Design scalable AI projects by balancing technical and managerial considerations, addressing resource allocation, and planning for future expansion.
Apply effective management strategies, including Agile methodologies and risk mitigation, to optimize delivery of large-scale AI initiatives.
Assess AI's impact on labor dynamics, including automation, role transitions, and team diversity, to build efficient and equitable project teams.
Skills you'll gain
Details to know
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Recently updated!
December 2024
Assessments
9 assignments
Taught in English
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This course is part of the AI Strategy and Project Management Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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There are 4 modules in this course
This course explores the end-to-end process of managing at-scale AI projects, focusing on key stages, management concerns, and risk mitigation strategies. You will learn effective team management, addressing labor trends, skill clustering, and division of labor. This course emphasizes sound management practices to optimize AI delivery and team performance. You will also evaluate various assessment strategies to enhance project success.
What's included
1 reading1 plugin
This module covers key labor-related topics in AI projects, including common roles and essential skills required for success. It explores which roles can or should be automated and examines the speed of labor transition in AI-driven environments. In this module, you will learn how to assess the performance of diverse skills and roles to maintain meritocracy and how to build cognitively diverse teams for optimal outcomes.
What's included
11 videos2 readings3 assignments
This module explores the complexities of designing and delivering scalable AI projects, covering the entire lifecycle from planning to deployment. It addresses technical and management aspects, focusing on scalability, resource management, and strategic decision-making. You will gain insights into managing AI projects and balancing performance with ethical and operational concerns. By the end, you will be equipped to design AI systems that meet both current and future demands, while managing budgets, risks, and stakeholder engagement.
What's included
11 videos2 readings3 assignments
In this module, you will gain insights into effective management strategies to optimize the delivery of AI projects on a large scale. Emphasizing risk mitigation and best practices, the module covers essential areas of AI project management, including Agile methodologies, change management, and sound management practices. By the end, you will be equipped to describe effective management solutions for AI projects and demonstrate robust management practices for successful outcomes.
What's included
7 videos2 readings3 assignments
Instructor
Offered by
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Frequently asked questions
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
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