Agentic AI Tutorial for Beginners | Langgraph Tutorial
Learn how to use LangGraph to build reliable, autonomous AI agents with graph-based orchestration, memory, and human-in-the-loop controls. Through hands-on projects, you’ll master concepts like checkpoint memory, performance monitoring, and safe decision-making for complex workflows.
Building AI Agents In 44 Minutes
Tina Huang offers a beginner-friendly guide to building AI agents using both no-code and code-based tools, explaining key components like models, tools, memory, and guardrails. Through real-world examples and workflows, you’ll learn prompt engineering and how to design practical agents
LangGraph
LangGraph is a framework for building autonomous AI agents using graph-based orchestration, enabling complex, multi-step workflows with memory and logic. It supports advanced reasoning, human-in-the-loop controls, and performance monitoring, making it ideal for scalable and adaptable AI applications.
LangChain
LangChain is a flexible AI framework that simplifies building LLM-powered applications by connecting models with data sources, APIs, and tools. It’s ideal for creating linear, step-by-step workflows for tasks like document retrieval, chatbots, and question answering.
MindStudio
MindStudio is a no-code platform for building custom AI agents that automate tasks, manage projects, and support content or research workflows. It offers a visual interface, API integration, and collaboration tools—ideal for individuals and businesses seeking efficient, AI-powered solutions.
AI Agents: From Prompts to Multi-Agent Systems
Learn to build intelligent AI agents that use reasoning, memory, and tools to perform complex tasks beyond basic prompts. Gain hands-on experience with single and multi-agent systems, API integration, and techniques for improving agent reliability and adaptability.
CrewAI
CrewAI is an AI framework for building collaborative multi-agent systems, where each agent is assigned a specialized role and works together to complete complex tasks. It enables structured planning, dynamic delegation, and coordination between agents using large language models.
Develop AI agents on Azure
This course teaches how to design and apply AI agents for increased productivity and real-world problem solving. Through hands-on labs and practical projects, you'll gain skills in generative AI, prompt engineering, and multi-agent system design for personal and professional use.
Agentic AI and AI Agents: A Primer for Leaders
Gain a clear understanding of agentic AI and how to build basic AI agents using custom GPTs. Learn to evaluate AI solutions effectively, spot real innovation, and apply your knowledge to create practical, task-oriented systems.