AI Agent :Design pattern to coding Agentic AI CrewAI AutoGen

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2:39:47

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1 - Introduction

1 -Overview of course.mp4

07:23

2 - Concept of Agentic AI

1 -Agentic AI - Concept and workflow.mp4

03:05

2 -Agentic AI - Overview and Key characteristics.mp4

03:35

3 -Agentic AI - Applications.mp4

02:58

4 -Agentic AI - Design Pattern.mp4

09:49

3 - CrewAI

1 -Crew AI - Overview and components.mp4

08:38

2 -Crew AI Hands-On Build simple one agent streamlit app.mp4

09:14

3 -Crew AI Hands-On Hierarchical Process.mp4

08:52

4 -Crew AI Hands-On Customized Manager Agent.mp4

06:09

5 -Crew AI Hands-On Build Trip Planner Agentic app with Streamlit.mp4

21:17

6 -Crew AI Hands-On Build Game Python code with Agent.mp4

12:49

7 -AgentOps Integrate Trip Planner Agents.mp4

04:19

Files.zip

4 - AutoGen

1 -AutoGen - Overview and concepts.mp4

04:56

2 -AutoGen Hands-On Overview.mp4

07:28

3 -AutoGen Hands-On Execute code with agent.mp4

07:45

4 -AutoGen Hands-On Sequential Pattern.mp4

06:47

5 -AutoGen Hands-On GroupChat Pattern.mp4

05:07

6 -AutoGen Hands-On Two Agents Chat with Streamlit.mp4

03:20

7 -AutoGen Hands-On How to create custom tools.mp4

03:00

8 -AutoGen Hands-On Agentic RAG with streamlit.mp4

08:16

9 -AutogenStudio Microsoft product to build Agents through UI.mp4

15:00

Files.zip

5 - Code, Quizzes, Assignment and Conclusion

1 - Assignment.html

Description

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

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.

Who is this for?

Data Scientists.

AI enthusiast

Students

Quality Engineer

Software Developer

Business Analysts

What You Need to Know?

Basic understand of Python.

More details

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 youâ€™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 AIÂ 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

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