Descriptions
AI Agents in Action, Second Edition, Video Edition, AI Agents in Action, Second Edition, Video Edition is a practical guide to creating LLM-powered autonomous agents and intelligent assistants for business and personal needs. It presents a framework for developing agents that can handle real-world tasks, from customer service chatbots to autonomous systems operating in the background. The course covers AI agent behavior patterns, production-ready agent design and deployment, the OpenAI Assistants API and complementary tools, knowledge management and memory systems, feedback loops for self-improving agents, collaborative multi-agent systems, and speech and computer vision capabilities. It also explores how production AI systems orchestrate interactions among users, AI models, and diverse data sources, and how agents organize these interactions into autonomous components that can process information, make decisions, and learn from interactions.
The video edition covers the essential components and development patterns of AI agents through 11 chapters. Topics include large language models and prompt engineering; GPT assistants and custom actions; multi-agent systems with AutoGen and CrewAI; actions and tools with OpenAI functions and Semantic Kernel; autonomous assistants and agentic behavior trees; building an agent platform with Streamlit, profiles, personas, actions, and tools; retrieval-augmented generation (RAG), semantic search, document indexing, LangChain, and agent memory; prompt flows, rubrics, grounding, and profile evaluation; and agent reasoning, evaluation, sequential planning, and feedback. The material is intended for intermediate Python programmers and includes practical work with technologies such as OpenAI Assistants API, GPT Nexus, LangChain, Prompt Flow, AutoGen, and CrewAI.
What you’ll learn
- Understand and implement common AI agent behavior patterns for practical applications.
- Design and deploy production-ready intelligent agents using LLMs and supporting tools.
- Use the OpenAI Assistants API and complementary technologies to build capable AI assistants.
- Implement knowledge management, retrieval-augmented generation (RAG), semantic search, and memory systems for agents.
- Build and orchestrate collaborative multi-agent systems using frameworks such as AutoGen and CrewAI.
- Develop autonomous assistants using agentic behavior trees, actions, tools, profiles, and personas.
- Apply prompt engineering, prompt flows, rubrics, grounding, and evaluation techniques to improve agent behavior.
- Implement reasoning, sequential planning, evaluation, and feedback mechanisms for assistant and agentic systems.
Who this course is for
- Intermediate Python programmers who want to learn how to build practical AI agents and intelligent assistants.
- Developers and AI practitioners interested in designing and deploying autonomous, production-ready agents.
- Python developers who want hands-on experience with LLMs, prompt engineering, tools, RAG, memory, and agent evaluation.
- Practitioners interested in multi-agent systems and frameworks such as AutoGen, CrewAI, LangChain, Prompt Flow, and Semantic Kernel.
Specificatoin of AI Agents in Action, Second Edition, Video Edition
- Publisher : Oreilly
- Teacher : Micheal Lanham
- Language : English
- Level : All Levels
- Number of Course :
- Duration : 10 hours and minutes
Content of AI Agents in Action, Second Edition, Video Edition
Pictures
Sample Clip
Installation Guide
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Subtitle : English
Quality: 1080p
Download Links
Password file(s): www.downloadly.ir
File size
2.44 GB