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LinkedIn Learning

Applying AI as a Tech Leader

via LinkedIn Learning Path

Overview

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This comprehensive learning path introduces AI and its transformative potential across industries. Learn the foundations of AI, including predictive and generative AI, and explore advancements in machine learning, neural networks, and deep learning. Gain practical skills in project management, technical collaboration, and ethical AI implementation to integrate AI effectively into your business strategy. Start your journey to master AI concepts and lead innovation.
  • 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 an overview of some of the latest tools and techniques in predictive and generative artificial intelligence (AI).

Course 2: Generative AI for Business Leaders
-Learn about the key issues and implications that global business leaders need to consider about generative artificial intelligence as they lead their companies into the future.

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: Building a Generative AI Tech Strategy
-Learn how to create a tech strategy that leverages generative AI.

Course 6: 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 7: 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 8: 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 9: AI Fundamentals for Data Professionals
-Discover the fundamental skills, tools, and concepts of AI in this course designed for data professionals.

Course 10: Artificial Intelligence for Cybersecurity
-Learn how you can use AI—with appropriate preparation and guardrails—to address complex problems in cybersecurity.

Course 11: Introduction to AI Governance
-Explore core concepts and practical strategies to effectively implement and manage AI governance.

Courses

Taught by

Doug Rose, Ya Xu, Pinar Demirdag, Kristen Kehrer, Danilo McGarry, Katrina Ingram, Ayodele Odubela, Sadie St. Lawrence, Sam Sehgal and Vidhi Chugh

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