AI Agent :Beginners guide on Agentic AI CrewAI AutoGen

Name: AI Agent :Beginners guide on Agentic AI CrewAI AutoGen
Rating: 3.9 (40 reviews)

Design pattern of agent AI to Hands-on with Crew AI and AutoGen. Agentic RAG, AgentOps, AutoGenStudio & AgentOps.

Created bySoumen Kumar Mondal

Last updated 8/2025

English

What you'll learn

Agentic AI concepts and workflow, overview and characteristics, Applications of agentic AI.
Design pattern of Agentic AI.
Crew AI overview and components.
Crew AI Hands-On build simple agent with streamlit app.
Crew AI hands on Hierarchical Process, Customized Manager Agent
Build Trip Planner Agentic app with Streamlit.
Build Python code with Agentic AI. Integrate Agents with AgentOps.
Overview and concepts of AutoGen.
Build various conversational pattern sequential, GroupChat, Custom Tools with AutoGen Hands-on.
Build Agentic RAG with AutoGen. Build Agent based RAG with AutoGen and streamlit.
AutoGen studio concepts. AutoGenStudio hands-on , build skills with AutogenStudio, Build model with AutogenStudio, build workflow with autogenstudio.

Course content

6 sections • 24 lectures • 3h 0m total length

Overview of course7:23
Master the design patterns of Agentic AI with hands-on experience using Crew AI and AutoGen. Learn to implement advanced multi-agent systems like Agentic RAG, AgentOps, and AutoGenStudio. Get ready to build, customize, and scale intelligent agent workflows for real-world applications.

Agentic AI - Concept and workflow3:05
Understand differences between non agentic workflow and agentic workflow.
Agentic AI - Overview and Key characteristics3:35
Definition of agents in AI perspective. Characteristics and purpose of characteristics of agentic AI.
Agentic AI - Applications2:58
Agentic AI has various applications and in future there will be more AI application will be developed with agentic AI concepts.
Agentic AI - Design Pattern9:49
Design pattern is important to get improvement from AI application. In this module we will learn all design patterns.

Crew AI - Overview and components8:38
Crew AI is an open source framework to build agent based AI applications. Understand components of Crew AI with high-level examples.
Crew AI Hands-On : Build simple one agent streamlit app9:14
Lets build first agentic AI or agent based AI application. We will build many more python coding and understand the libraries as well.
Crew AI Hands-On: Hierarchical Process8:52
Hierarchical process is advance way to control agents where one agent will monitor another agent. This hands-on section to build Hierarchical agents.
Crew AI Hands-On: Customized Manager Agent6:09
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.
Code updated of Trip Planner0:16
Crew AI Hands-On : Build Trip Planner Agentic app with Streamlit (Code updated)21:17
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.
Crew AI Hands-On : Build Game Python code with Agent12:49
Generate coding is very important use case of Agents. With Crew AI we will develop python coding.
AgentOps : Integrate Trip Planner Agents4:19
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.

AutoGen - Overview and concepts4:56
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.
AutoGen Hands-On : Overview7:28
We will develop various coding with AutoGen. This module to give overview of hands-on section of AutoGen.
AutoGen Hands-On : Execute code with agent7:45
This module will cover code generation with agents and execute the code with AutoGen.
AutoGen Hands-On: Sequential Pattern6:47
AutoGen supports sequential pattern of conversation between agents. This hands-on section will help to understand sequential pattern.
AutoGen Hands-On: GroupChat Pattern5:07
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.
AutoGen Hands-On: Two Agents Chat with Streamlit3:20
Let's build a teacher student agent communication with streamlit chatbot.
AutoGen Hands-On: How to create custom tools3:00
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.
AutoGen Hands-On: Agentic RAG with streamlit8:16
Let's build and understand Agent based RAG or Agentic RAG with AutoGen.
AutogenStudio : Microsoft product to build Agents through UI15:00
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.

Requirements

Basic understand of Python.

Description

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.

Who this course is for:

Data Scientists.
AI enthusiast
Students
Quality Engineer
Software Developer
Business Analysts

AI Agent :Beginners guide on Agentic AI CrewAI AutoGen

What you'll learn

Explore related topics

Course content

Introduction1 lecture • 7min

Concept of Agentic AI4 lectures • 19min

CrewAI8 lectures • 1hr 12min

AutoGen9 lectures • 1hr 2min

Agentic AI with AWS Bedrock1 lecture • 20min

Code, Quizzes, Assignment and Conclusion1 lecture • 1min

Requirements

Description

Who this course is for: