Description
AI Agent Engineering: Build Production-Ready AI Agents. This comprehensive course is designed to take participants from the entry-level of AI applications to advanced AI agent systems. Along the way, students will step-by-step implement capabilities such as conversational memory, tools, retrieval systems (RAG), scheduling, model context protocol (MCP), multi-agent systems, and deployment. The goal of this course is not just to watch videos, but to gain hands-on experience and mastery of popular frameworks such as LangGraph, CrewAI, and LangChain for building and engineering autonomous AI systems, ultimately leading to the creation of an AI research agent and a complete platform from scratch.
What you will learn
-
Building the first conversational bot and AI assistants with Python, along with conversation memory capabilities and the use of tools
-
Implementation of advanced information retrieval and document management (RAG) systems
-
Designing autonomous artificial intelligence agents with programming, reasoning, and memory engineering capabilities
-
Deep understanding and implementation of the Model Context Protocol (MCP) and connecting agents to external data sources
-
Design and coordinate multi-agent systems to solve complex problems as a group
-
Mastery of advanced industry frameworks including LangGraph, CrewAI, and LangChain
-
Building a full-fledged AI research agent to collect information and produce structured reports
-
Learn how to deploy agent applications and develop an AI research platform as a final project.
This course is suitable for people who:
-
Programmers and developers who want to go beyond the basics and build functional AI systems
-
Software engineers interested in understanding modern AI agent architectures including RAG, memory, and multi-agent systems
-
Beginners who want to learn how to build AI-based agents and applications from scratch
-
Those interested in the field of artificial intelligence and machine learning who are looking for practical experience in building autonomous agents
-
Students and professionals who want to learn popular agent engineering frameworks such as LangGraph, CrewAI, and LangChain
-
Anyone who wants to gain skills by building real-world projects and final projects like the AI Research Platform
AI Agent Engineering: Build Production-Ready AI Agents Course Details
- Publisher: Udemy
- Instructor: Pankaj Shukla
- Training level: Beginner to advanced
- Training duration: 37 hours and 10 minutes
- Number of lessons: 292
Course topics
Prerequisites for the AI Agent Engineering: Build Production-Ready AI Agents course
- No prior experience with AI agents, RAG, MCP, LangGraph, CrewAI, or LangChain is required. Everything is explained and built step by step.
- Basic familiarity with computers and a willingness to learn programming is enough to get started.
- No advanced Python knowledge is required. The course introduces and explains important Python concepts such as variables, input, lists, functions, loops, and other fundamentals as needed.
- A computer with a stable internet connection is required for following the practical exercises and building the projects.
- You should be willing to write code, experiment, and learn by building real AI applications throughout the 21-day journey.
Course images
Sample course video
Installation Guide
After Extract, view with your favorite player.
Subtitles: English
Quality: 1080p
Download link
Downloadly
Rapidgator
File(s) password: www.downloadly.ir
File size
49 GB
2 Comments. Leave new
Can you please upload the Rapidgator links?
Hi
Added