Course materials

Introduction Welcome to the course on Metacognition in AI Agent! This chapter is designed for beginners interested in how AI Agents think about their own thought processes. By the end of this course, you will understand key concepts and have practical examples of applying metacognition to AI Agent design. Learning Objectives...

When you start working on a project that involves multiple intelligences, you need to consider the Multi-Intelligence Design Pattern. However, it may not be obvious when to move to multi-intelligentsia and what the advantages are. Introduction In this course, Microsoft attempts to answer the following questions: What scenarios are suitable for multi-intelligentsia? What scenarios are suitable for multi-intelligence?

INTRODUCTION This paper will cover the following: Define clear overarching goals and break down complex tasks into manageable subtasks. Leverage structured output for more reliable and machine-readable responses. Applying an event-driven approach to dynamic tasks and unexpected inputs. Learning Objectives At the completion of this article...

Introduction This course will cover: How to build and deploy secure and effective AI Agents Important security considerations when developing AI Agents. How to maintain data and user privacy when developing AI Agents. Learning Objectives After completing this course, you will understand how to: Create AI Agents ...

This course provides a comprehensive overview of Agentic Retrieval-Augmented Generation (Agentic RAG), an emerging AI paradigm in which Large Language Models (LLMs) autonomously plan their next actions while acquiring information from external sources. Instead of the static "retrieve-then-read" model...

Tools are interesting because they allow AI intelligences to have a wider range of capabilities. By adding tools, the intelligence is no longer limited to the limited set of operations it can perform, but can perform a wide variety of operations. In this chapter, we will explore the Tool Usage Design Pattern, which describes the AI ...

INTRODUCTION There are many ways to build AI Agentic systems. Given that ambiguity is a feature, not a flaw, of generative AI design, it is sometimes difficult for engineers to determine where to start. We have created a set of human-centered user experience design principles that enable developers to build customer-centric Agentic...

Welcome to the Getting Started with AI Agents course! This course provides you with the basics and sample applications for building AI Agents. Join the Azure AI Discord community to meet other learners, AI Agent builders, and ask any questions you have about this course. To get started with this course, we...

  10 Lessons That Teach Everything You Need to Get Started Building an AI Agent This 10-lesson course covers the basics of building an AI Agent. Each lesson covers a separate topic, so you can start anywhere you like! If this is your first time working with generative AI models...

As Artificial Intelligence begins to have a substantial impact on more and more businesses, it is becoming not only a personal assistant for every employee, but also a catalyst for transformation in every organization. Across different functional roles, employees are gradually discovering that AI can help them perform their daily tasks more efficiently and provide many innovative solutions...

AI easy to learn - the average person's guide to AI course link at the bottom of this article ↓ Welcome to "AI easy to learn"! This course will help you learn how to utilize AI tools in a low-cost, zero-based way. Whether you are new to the workplace, on-the-job promotion, or want to keep up with the technology trend of ordinary users, this course will provide you with ...

Learning AI is a very rewarding thing to do, in the future almost all the office tools we use will be AI-ized, and I believe that most of you will need to go through the process of learning AI. So if you can get a state-issued AIGC certificate while learning is a best of both worlds. How to choose an AI...