Agentic AI : Design pattern to hands-on CrewAI AutoGen
Agentic AI : Design pattern to hands-on CrewAI AutoGen
Published 10/2024
Duration: 2h40m | .MP4 1280x720, 30 fps(r) | AAC, 44100 Hz, 2ch | 1.57 GB
Genre: eLearning | Language: English
Published 10/2024
Duration: 2h40m | .MP4 1280x720, 30 fps(r) | AAC, 44100 Hz, 2ch | 1.57 GB
Genre: eLearning | Language: English
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.
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
More Info