Description
Agentic AI Engineering: Build RealWorld Autonomous AI Agents is a course on designing, developing, and deploying intelligent agents published by Udemy Online Academy. This is a hands-on course that teaches you how to design, develop, and deploy intelligent agents that are capable of performing autonomous tasks in real-world environments. With a strong focus on hands-on projects, this course bridges theory and practice to help individuals understand the fundamentals of agentic AI, from architecture and frameworks to deployment and optimization. This hands-on course teaches you everything you need to master agent-centric AI, LangGraph, and LangChain—leading frameworks for developing autonomous AI agents and multi-agent systems.
This course introduces the principles of autonomous agent design, including planning, decision-making, and adaptation, while exploring key frameworks and libraries used in agentic AI development. Learners practice building agents that interact with APIs, manage workflows, and dynamically respond to changing conditions. The course covers integration with large language models, incremental production, retrieval, and multi-agent collaboration strategies. Security, reliability, and ethical considerations are emphasized, along with best practices for scaling and deploying agents in production environments. By the end, individuals will have built real-world AI agents that are capable of automation, problem-solving, and autonomous operation in complex environments.
What you will learn in Agentic AI Engineering: Build RealWorld Autonomous AI Agents:
- Learn how to build intelligent agents from scratch to solve real-world business tasks using LangChain, LangGraph, and LLMs.
- Get hands-on with state management, structured outputs, and dynamic agent behavior to create responsive and scalable AI systems.
- Develop collaborative agent ecosystems that communicate and solve complex challenges using advanced agent architectures.
- Build autonomous agents for coding, research, and task automation using CrewAI, the OpenAI SDK, and proven AI design patterns.
- Discover how to deliver business-ready agent-oriented AI solutions with 8+ real-world projects and open source integrations.
- Lead the way in AI with tools like AutoGen Core, MCP from Anthropic, and repeatable agent-oriented patterns for robust AI development.
- And…
Course specifications
Publisher: Udemy
Instructors: TechLink Selenium | DevOps | GenAI
Language: English
Level: Introductory to Advanced
Number of Lessons: 64
Duration: 16 hours and 34 minutes
Course topics
Agentic AI Engineering: Build RealWorld Autonomous AI Agents Prerequisites
Basic knowledge of Python programming (variables, functions, classes).
Understanding of APIs and RESTful services (basic level).
Familiarity with Large Language Models (LLMs) concepts (like OpenAI, Hugging Face models, etc.).
Pictures
Agentic AI Engineering: Build RealWorld Autonomous AI Agents introduction video
Installation guide
After Extract, watch with your favorite Player.
Subtitle: English
Quality: 720p
Changes:
Version 2025/9 compared to 2025/6 has increased by 50 lessons and 13 hours and 13 minutes in duration. English subtitles were also added to the course.
Download link
Downloadly
Rapidgator
File password (s): www.downloadly.ir
Size
8.25 GB
