Overview

AI is rapidly evolving, and tech leaders need to keep up with the pace of innovation to inform and influence their teams and organizations in this pivotal moment. Explore important AI verticals that are vital to tech leaders, including a high-level technical overview, the impacts on business and culture, responsible AI, data, security, and governance. Take the next step on your AI upskilling and keep ahead of the curve!

Understand the technical underpinnings of AI.
Develop an AI strategy for your business case.
Build a responsible AI program within your organization.
Explore the impact of AI on governance, data, and security.

Syllabus

Courses under this program:
Course 1: Introduction to Artificial Intelligence
-Get a simplified overview of the top tools in artificial intelligence.

Course 2: Ya Xu: How to Turn AI from a Buzz Word to a Business Tool
-Explore the opportunities and challenges presented by AI with Ya Xu, the head of data and AI at LinkedIn.

Course 3: What Is Generative AI?
-Learn about the basics of generative AI, including its history, popular models, how it works, ethical implications, and much more.

Course 4: AI and the Future of Work: Workflows and Modern Tools for Tech Leaders
-Learn how to implement machine learning operations into your business, discover the scope of what ML can achieve—and the challenges that it can present.

Course 5: Scaling Generative AI: Building a Strategy for Adoption and Expansion
-Discover how to leverage OpenAI tools within your organization and effectively apply and scale AI technologies while ensuring compliance, managing risks, and achieving innovation.

Course 6: Building a Responsible AI Program: Context, Culture, Content, and Commitment
-Organizations who use AI need to ensure they do so in a socially responsible way. Learn how in this course.

Course 7: Introduction to Auditing AI Systems
-Learn the fundamentals of how to adapt to and comply with AI regulation in this introductory course on auditing AI systems for bias and discrimination.

Course 8: AI Fundamentals for Data Professionals
-Discover the fundamental skills, tools, and concepts of AI in this course designed for data professionals.

Course 9: Artificial Intelligence for Cybersecurity
-Learn how you can use AI—with appropriate preparation and guardrails—to address complex problems in cybersecurity.

Course 10: Introduction to AI Governance
-Explore core concepts and practical strategies to effectively implement and manage AI governance.

Courses

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1 hour 44 minutes
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Learn how you can use AI—with appropriate preparation and guardrails—to address complex problems in cybersecurity.
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1 hour 4 minutes
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Learn about the basics of generative AI, including its history, popular models, how it works, ethical implications, and much more.
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1 hour 35 minutes
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Get a simplified overview of the top tools in artificial intelligence.
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59 minutes
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Explore core concepts and practical strategies to effectively implement and manage AI governance.
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1 hour 8 minutes
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Discover the fundamental skills, tools, and concepts of AI in this course designed for data professionals.
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1 hour 5 minutes
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Learn how to implement machine learning operations into your business, discover the scope of what ML can achieve—and the challenges that it can present.
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1 hour 9 minutes
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Explore the opportunities and challenges presented by AI with Ya Xu, the head of data and AI at LinkedIn.
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29 minutes
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Discover how to leverage OpenAI tools within your organization and effectively apply and scale AI technologies while ensuring compliance, managing risks, and achieving innovation.
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1 hour 30 minutes
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Organizations who use AI need to ensure they do so in a socially responsible way. Learn how in this course.
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1 hour 19 minutes
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Learn the fundamentals of how to adapt to and comply with AI regulation in this introductory course on auditing AI systems for bias and discrimination.