Understanding Generative AI for Tech Leaders
This learning path equips tech leaders with the latest generative AI trends, how they work, and how to apply them to your team, product, and organization. Explore fundamental concepts of AI and machine learning. Delve into specific areas like large language models. Plus, explore crucial aspects like ethical considerations, regulation and compliance, implementation strategies, and emerging trends such as multimodal models and AI agents. Understand the fundamentals of generative AI technologies. Gain technical proficiency to plan and implement AI projects. Understand the regulatory requirements for generative AI. Discover emerging AI topics, including AI agents.
Courses
- What Is Generative AI?
- Generative AI vs. Traditional AI
- Generative AI: Introduction to Large Language Models
- Ethics in the Age of Generative AI
- Building a Responsible AI Program: Context, Culture, Content, and Commitment
- Generative AI Approaches to Business Challenges
- Exploring AIOps
- Understanding Generative AI in Cloud Computing: Services and Use Cases (2023)
- Building in Azure AI Foundry (Formerly Azure AI Studio)
- Understanding and Implementing the NIST AI Risk Management Framework (RMF)
- ISO/IEC 42001:2023: Understanding and Implementing the Artificial Intelligence Management System (AIMS) Standard
- Introduction to Auditing AI Systems
- Introduction to AI Governance
- Compliance and Regulations for Generative AI
- AI and the Future of Work: Workflows and Modern Tools for Tech Leaders
- Scaling Generative AI: Building a Strategy for Adoption and Expansion
- Building A Generative AI Tech Strategy
- RAG and Fine-Tuning Explained
- Introduction to Multimodal Prompting for Generative AI
- Agentic AI: Building Data-First AI Agents