中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.
Managing AI Projects: From Strategy to Delivery
您将学到什么
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.
您将获得的技能
- Responsible AI
- Team Building
- AI Product Strategy
- Risk Mitigation
- Artificial Intelligence
- Workforce Management
- Agile Methodology
- Scalability
- Diversity and Inclusion
- Team Management
- Data Ethics
- Stakeholder Management
- MLOps (Machine Learning Operations)
- Project Management
- Risk Analysis
- Budget Management
- Project Management Life Cycle
要了解的详细信息
可分享的证书
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作业
9 项作业
授课语言：英语（English）
了解顶级公司的员工如何掌握热门技能
该课程共有4个模块
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.
涵盖的内容
1篇阅读材料1个插件
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.
涵盖的内容
11个视频1篇阅读材料3个作业
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.
涵盖的内容
11个视频2篇阅读材料3个作业
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.
涵盖的内容
7个视频1篇阅读材料3个作业
位教师
授课教师评分
4.3 (9个评价)
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学生评论
4.6
34 条评论
- 5 stars
77.14%
- 4 stars
11.42%
- 3 stars
8.57%
- 2 stars
2.85%
- 1 star
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显示 3/34 个
HP
5
已于 Mar 13, 2025审阅
Very good contents and guidance from Dr. McCullough
AP
5
已于 Mar 27, 2025审阅
Very practical and relatable illustrations to make it easier to remember key pointers
DG
5
已于 Jun 7, 2025审阅
Great learning experience. Loved the historical references, it really provides context.
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