Description
AI Agents in Action, Video Edition. This course is designed to build autonomous agents and intelligent assistants using large language models to meet business and personal needs. From customer service chatbots that operate without a pre-defined script to fully autonomous agents that operate in the background, AI assistants represent a major advancement in machine capabilities. This course teaches a proven framework for developing practical, usable agents that can perform real-world tasks in business and personal life. Course author Michael Lanham combines cutting-edge academic research with hands-on experience to help participants build trustworthy AI that can even handle sensitive negotiations. Participants will learn to engineer prompts to create agents with distinct personalities and profiles, as well as develop multi-agent collaborations that thrive in unpredictable environments. This course goes beyond learning a new technology to discovering a transformative approach to problem solving. In the technology space, many AI systems rely on complex interactions between users, models, and multiple data sources. AI agents organize these interactions into autonomous units that can process information, make decisions, and learn from interactions behind the scenes. This course shows you how to build these agents and connect them together to form powerful multi-agent systems.
What you will learn
- Understanding and implementing AI agent behavioral patterns.
- Design and deploy production-ready intelligent agents.
- Leveraging OpenAI’s Assistant API and complementary tools.
- Implementing robust knowledge management and memory systems.
- Creating self-improving agents with feedback loops (Feedback Loops for Continuous Agent Learning).
- Coordination of Collaborative Multi-Agent Systems.
- Augmenting agents with speech and vision capabilities (Speech and Computer Vision).
- Building production-ready assistants, multi-agent systems, and behavioral agents.
- Mastery of essential parts of an agent, including memory and Retrieval-Augmented Knowledge.
- Creating multi-agent applications that can use software tools, schedule tasks autonomously, and learn from experience.
- Working with advanced tools like OpenAI Assistants API, GPT Nexus, LangChain, Prompt Flow, AutoGen, and CrewAI.
This course is suitable for people who:
- Intermediate Python Programmers.
- People who want to gain a proven framework for developing practical AI agents that manage real-world business and personal tasks.
- Those looking to build reliable artificial intelligence capable of handling high-stakes negotiations.
- Those interested in mastering prompt engineering to create agents with distinct personalities and profiles.
- Those who want to learn how to develop multi-actor collaborations that succeed in unpredictable environments.
Course details: AI Agents in Action, Video Edition
- Publisher: Oreilly
- Instructor: Michael Lanham
- Training level: Beginner to advanced
- Training duration: 6 hours and 25 minutes
Course headings
Course images
Sample course video
Installation Guide
After Extract, view with your favorite player.
Subtitles: None
Quality: 720p
Download link
Downloadly
Rapidgator link
File(s) password: www.downloadly.ir
File size
975 MB
