AI Agent :Design pattern to coding Agentic AI CrewAI AutoGen
- Description
- Curriculum
- FAQ
- Reviews
This is an in-depth course that will equip you with the foundational concepts and practical skills needed to master Agentic AI. Dive into the exciting world of AI agents, where you’ll learn how agents autonomously perform tasks, make decisions, and collaborate to solve complex problems. This course covers key design patterns like reflection, planning, and multi-agent workflows, which are essential to building intelligent, adaptive AI solutions.
You’ll get hands-on experience with leading frameworks such as Crew AI and Microsoft AutoGen, learning how to implement multi-agent systems that excel in cooperation and efficiency. The course also introduces Agentic RAG, a Retrieval-Augmented Generation approach using agents for smarter information retrieval, and AgentOps, focusing on the operational lifecycle of AI agents. Additionally, we will explore AutoGenStudio for seamless agent development and AgentOps for managing and optimizing agent performance.
Whether you’re a data scientist, developer, AI enthusiast, or quality engineer, this course is tailored to advance your skills in designing, building, and deploying sophisticated agentic AI solutions. Join us and become proficient in shaping the future of autonomous intelligent systems.
The course will get updated with new Agentic AI concepts and agent based AI apps. Enroll and be part of future of AI that is Agentic AI.
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Agentic AI - Concept and workflowUnderstand differences between non agentic workflow and agentic workflow.
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Agentic AI - Overview and Key characteristics
Definition of agents in AI perspective. Characteristics and purpose of characteristics of agentic AI.
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Agentic AI - Applications
Agentic AI has various applications and in future there will be more AI application will be developed with agentic AI concepts.
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Agentic AI - Design Pattern
Design pattern is important to get improvement from AI application. In this module we will learn all design patterns.
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Crew AI - Overview and components
Crew AI is an open source framework to build agent based AI applications. Understand components of Crew AI with high-level examples.
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Crew AI Hands-On : Build simple one agent streamlit app
Lets build first agentic AI or agent based AI application. We will build many more python coding and understand the libraries as well.
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Crew AI Hands-On: Hierarchical Process
Hierarchical process is advance way to control agents where one agent will monitor another agent. This hands-on section to build Hierarchical agents.
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Crew AI Hands-On: Customized Manager Agent
Manager agent is another way control agents where manager agent will monitor and communicate with another agents. This hands-on section to build customized manager agent.
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Crew AI Hands-On : Build Trip Planner Agentic app with Streamlit
Let's build one real world application i.e Trip planner application. With multiple agents, tools and streamlit we will develop a trip planner agentic ai app.
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Crew AI Hands-On : Build Game Python code with Agent
Generate coding is very important use case of Agents. With Crew AI we will develop python coding.
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AgentOps : Integrate Trip Planner Agents
For a large scale application, monitoring agents will be key features. AgentOps is a tool to monitor and evaluate agent behavior. With this module, we will integrate trip planner app with AgentOps and understand the features.
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AutoGen - Overview and concepts
Microsoft AutoGen is another open source agentic AI or agent based AI development framework. There are various features and components of AutoGen. Lets understand the concept of AutoGen.
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AutoGen Hands-On : Overview
We will develop various coding with AutoGen. This module to give overview of hands-on section of AutoGen.
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AutoGen Hands-On : Execute code with agent
This module will cover code generation with agents and execute the code with AutoGen.
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AutoGen Hands-On: Sequential Pattern
AutoGen supports sequential pattern of conversation between agents. This hands-on section will help to understand sequential pattern.
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AutoGen Hands-On: GroupChat Pattern
In case of multi agent AI app, group chat is important. In group chat all agents communicate with each other based on group chat manager. Let's understand group chat feature of AutoGen with python coding.
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AutoGen Hands-On: Two Agents Chat with Streamlit
Let's build a teacher student agent communication with streamlit chatbot.
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AutoGen Hands-On: How to create custom tools
Tools is a feature to equip agents to provide proper information to users. AutoGen supports to register tools through certain way. Let's understand custom tools of AutoGen.
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AutoGen Hands-On: Agentic RAG with streamlit
Let's build and understand Agent based RAG or Agentic RAG with AutoGen.
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AutogenStudio : Microsoft product to build Agents through UI
AutoGenStudio is a product that can be used to build Agent based flow without python coding. Let's understand overview and hands-on feature of AutoGenStudio.
