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Artificial Intelligence (AI) and Machine Learning (ML)

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Artificial Intelligence (AI) and Machine Learning (ML) Course Directory

Agentic AI

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Course Name	Course Type	Syllabus
Azure AI Engineer Associate: Using the Azure AI Foundry Agent Service	Course	View details Course Syllabus \| Print Syllabus Azure AI Engineer Associate: Using the Azure AI Foundry Agent Service Overview/Description: AI agents are gaining attention for their powerful action-taking abilities, filled with both promise and risk. There is a growing realization that this technology could truly be revolutionary.In this course, explore how agents combine large language models (LLMs), instructions, and tools to perform tasks. Next, discover how they push AI beyond chatbots and assistants, and learn about the Azure AI Agent Service, its tools, and how Basic and Standard projects differ. Finally, learn how to choose between connected agents, Semantic Kernel, and Autogen for multi-agent workflows. This course is part of a collection that prepares learners for the Designing and Implementing a Microsoft Azure AI Solution (AI-102) exam. Course Number: it_clazae25_19_enus
Designing a personalized agent with AgentGPT Templates	Course	View details Course Syllabus \| Print Syllabus Designing a personalized agent with AgentGPT Templates Overview/Description: AgentGPT, powered by OpenAI’s GPT-3.5 and GPT-4 models, is a cutting-edge AI framework that simplifies the creation of intelligent agents for tasks like customer service and data analysis. Unlock the full potential of AI by designing your own personalized agent using AgentGPTs dynamic templates.Explore every step, from selecting the ideal template to customizing your agents behavior and responses. Whether youre a novice or a seasoned developer, youll discover how to create an AI tailored to your specific needs and ambitions. Get ready to bring your AI vision to life with creativity and ease. Course Number: ds_aggpt_01_enus
Introduction to Agentic Systems Bootcamp May 2025: Session 1 Replay	Course	View details
Inside Agentic AI: Foundations and Frontiers	Course	View details Course Syllabus \| Print Syllabus Inside Agentic AI: Foundations and Frontiers Overview/Description: This course introduces the foundational principles of agentic AI EAI systems that go beyond passive prediction to actively perceive, reason, act, and adapt within dynamic environments.you’ll explore what makes agentic systems fundamentally different from traditional AI, break down their core properties, and follow the internal flow of an agent as it interacts with its environment.Real-world examples and critical limitations are also examined to ground your understanding in practical, high-impact contexts. This course sets the stage for deeper architectural and implementation-focused learning in the rest of this series. Course Number: it_aiagntdj_01_enus
Inside Agentic AI: Core Architecture of Agentic Systems	Course	View details Course Syllabus \| Print Syllabus Inside Agentic AI: Core Architecture of Agentic Systems Overview/Description: Agentic AI systems operate through a core architecture, and this course takes you under the hood to reveal how that architecture enables them to function autonomously.In this course, explore how architectural components work together to create intelligent agents through visually engaging diagrams and practical workflows. Next, discover the unique design patterns and capabilities of frameworks like LangChain, AutoGen, and CrewAI. Finally, learn how to apply an architectural lens to design, debug, and optimize real-world agentic systems with clarity and confidence.After completing this course, you will be able to outline how modern agents operate and how to think like one. Course Number: it_aiagntdj_02_enus
Inside Agentic AI: Popular Frameworks	Course	View details Course Syllabus \| Print Syllabus Inside Agentic AI: Popular Frameworks Overview/Description: Agentic AI systems dont start from scratch. They are built on powerful frameworks designed to orchestrate memory, planning, tool use, and multi-agent collaboration.In this course, explore todays most popular agentic AI frameworks, including LangChain, LangGraph, AutoGen, CrewAI, LlamaIndex, Haystack, and n8n. Next, discover how each framework functions, where it fits in the agent lifecycle, and when it should be used. Finally, learn how to choose and apply the right tools, whether you are building a smart assistant, an autonomous researcher, or a multi-agent workflow.After completing this course, you will be able to outline widely used agentic AI frameworks. Course Number: it_aiagntdj_03_enus