AI Agents: Key Principles and Guidelines - Part 3
This blog post, the third in a series on AI agents, focuses on user-centric design principles for building effective and trustworthy agentic systems. Drawing from the "Agentic Design Patterns" section of Microsoft's "AI Agents for Beginners" GitHub repository, the post outlines key principles categorized by Agent (Space), Agent (Time), and Agent (Core). These principles emphasize connection, accessibility, leveraging historical context, adapting to future needs, and establishing trust through transparency and control. Practical implementation guidelines are provided, along with a travel agent example to illustrate how these principles can be applied in real-world scenarios. The post also links to additional resources and previous installments in the series for a comprehensive learning experience.AI-900: Microsoft Azure AI Fundamentals Study Guide
This comprehensive study guide provides a thorough overview of the topics covered in the Microsoft Azure AI Fundamentals (AI-900) exam, including Artificial Intelligence workloads, fundamental principles of machine learning, computer vision and natural language processing workloads. Learn about the exam's intended audience, how to earn the certification, and the skills measured as of April 2022. Discover the important considerations for responsible AI, the capabilities of Azure Machine Learning Studio and more. Get ready to demonstrate your knowledge of AI and ML concepts and related Microsoft Azure services with this helpful study guide.
