5 Project Management Tools: Choosing the Best Fit for Your Team
February 22, 2025
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AI Strategy and Management for Business Leaders. Gain the skills to lead AI projects, implement ethical AI practices, and drive innovation with generative AI strategies in business environments.
Instructor: Ian McCulloh
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(23 reviews)
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Intermediate level
A background in business, technology, or management to lead AI projects and develop responsible AI strategies is recommended.
(23 reviews)
Recommended experience
Intermediate level
A background in business, technology, or management to lead AI projects and develop responsible AI strategies is recommended.
Understand AI's core concepts, technologies, and their applications in business strategies, preparing for real-world AI project management.
Learn the ethical challenges of AI, including bias mitigation, and responsible decision-making in deploying AI solutions at scale.
Gain expertise in managing large AI projects, including risk management, resource allocation, and delivering AI systems that scale effectively.
Explore generative AI technologies, such as large language models, and their potential to drive innovation across industries and organizations.
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December 2024
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The specialization “AI Strategy and Project Management” is designed for leaders tasked with spearheading artificial intelligence (AI) efforts within their organizations. As AI technologies such as machine learning, deep learning, symbolic AI, and generative AI reshape the landscape of industry and governance, understanding how to effectively integrate these tools into business strategies becomes paramount. This specialization offers an in-depth exploration of the critical components of AI, including data acquisition and analysis, algorithm development, the deployment of resources, labor considerations, and the management of at-scale AI projects.
Participants will gain a robust understanding of the foundational and advanced concepts of AI, including the workings of machine learning models, the revolutionary capabilities of transformers and large language models (LLMs), the innovative potential of generative AI, and risk mitigation with symbolic AI. The curriculum emphasizes not only the technical aspects but also the management and ethical considerations, such as bias mitigation and the development of responsible AI frameworks, ensuring leaders can make informed, ethical decisions in deploying AI technologies.
Applied Learning Project
The specialization AI Strategy and Project Management prepares leaders to drive AI initiatives within their organizations. It covers essential AI technologies like machine learning, deep learning, and generative AI, focusing on data analysis, algorithm development, and project management at scale. The program also emphasizes ethical considerations, including bias mitigation and responsible AI frameworks. Participants will engage with self-reflective readings such as AI project management scenarios, ethical challenges, and essays, enhancing their ability to lead AI efforts with strategic and ethical awareness. This comprehensive approach ensures leaders are equipped to navigate both the technical and societal impacts of AI.
Understand core AI and ML concepts, key vocabulary, and the R.O.A.D. Framework for effective AI project management and implementation.
Evaluate machine learning models using performance metrics and understand the tradeoffs in algorithm selection and optimization.
Analyze AI algorithms like SVM, Decision Trees, and Neural Networks, identifying their strengths, weaknesses, and practical applications.
Assess data quality, calculate inter-annotator agreement, and address resource and performance tradeoffs in AI and ML systems.
Understand the sources and trade-offs of bias in both human and AI systems, and learn strategies for mitigating these biases in AI implementations.
Explore ethical frameworks for responsible AI, focusing on transparency, fairness, and accountability, and gain knowledge of laws surrounding AI.
Analyze real-world AI case studies to identify strengths and weaknesses in AI adoption, and understand the considerations for managing AI projects.
Understand the theory and applications of generative AI, including transformers, large language models, and symbolic reasoning for content creation.
Explore how AI integrates with generative models to improve explainability, control, and responsible AI solutions in real-world applications.
Learn how to manage AI projects at scale, focusing on integrating generative and symbolic AI to address ethical considerations.
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.
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The specialization is designed to be completed at your own pace, but on average, it is expected to take approximately 3 months to finish if you dedicate around 5 hours per week. However, as it is self-paced, you have the flexibility to adjust your learning schedule based on your availability and progress.
You are encouraged to take the courses in the recommended sequence to ensure a smoother learning experience, as each course builds on the knowledge and skills developed in the previous ones. However, you are not required to follow a specific order, and you can take the courses in the order that best suits your needs and prior knowledge.
This course is completely online, so there’s no need to show up to a classroom in person. You can access your lectures, readings and assignments anytime and anywhere via the web or your mobile device.
If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don’t give refunds, but you can cancel your subscription at any time. See our full refund policy.
Yes! To get started, click the course card that interests you and enroll. You can enroll and complete the course to earn a shareable certificate, or you can audit it to view the course materials for free. When you subscribe to a course that is part of a Specialization, you’re automatically subscribed to the full Specialization. Visit your learner dashboard to track your progress.
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. If you only want to read and view the course content, you can audit the course for free. If you cannot afford the fee, you can apply for financial aid.
This Specialization doesn't carry university credit, but some universities may choose to accept Specialization Certificates for credit. Check with your institution to learn more.
Financial aid available,
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