Modern Automated AI Agents Building Agentic AI to Perform Complex Tasks
English | Tutorial | Size: 1.7 GB
5+ Hours of Video Instruction
Get started with automated AI agents
Modern Automated AI Agents introduces you to the concept of automated agents. It then helps you build a solid understanding of how to design, build, and optimize AI agents to tackle real-world challenges.
About the Instructor
Sinan Ozdemir is the founder and CTO of LoopGenius, where he uses state-of-the-art AI to help people create and run their businesses. Sinan is a former lecturer of Data Science at Johns Hopkins University and the author of multiple textbooks and videos on data science and machine learning. Additionally, he is the founder of the recently acquired Kylie.ai, an enterprise-grade conversational AI platform with RPA capabilities. He holds a master’s degree in Pure Mathematics from Johns Hopkins University and is based in San Francisco, California.
Learn How To
Build & use AI agents
Evaluate AI agent frameworks
Start to use CrewAI
Design multi-step workflows with LangGraph
Use large language models (LLMs)
Integrate existing and custom tools
Use thought, action, observation, and response components
Test and evaluate agents, their responses, backstories, definitions, and rules
Add planning and reflection to agents to bolster performance
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