Description
AI Engineer: Build Real-World Agentic AI Applications is a course on how to engineer intelligent, reasoning AI applications published by Udemy Online Academy. This course is a comprehensive, hands-on program designed to teach you how to engineer intelligent AI applications that can reason, use tools, interact with external systems, and perform multi-step tasks. Designed for AI engineers, Python developers, software engineers, and aspiring AI application builders, the course focuses on moving from basic LLM applications to practical agentic systems that can work in real-world workflows. Students will explore LLM integration, rapid engineering, tool invocation, agent architecture, memory and context management, retrieval additive manufacturing (RAG), workflow orchestration, multi-agent systems, evaluation, observability, and deployment.
This comprehensive, hands-on course takes you from the basics of AI agents and large language models (LLMs) to building advanced autonomous AI systems using the most popular AI agent frameworks. You’ll learn how AI agents work, how LLMs power intelligent systems, how agents use tools, and how reasoning frameworks like ReAct enable AI systems to plan and execute tasks. By the end of this course, you’ll have the practical skills to design, build, and deploy modern AI agent applications using leading frameworks in the agent-based AI ecosystem.
What you will learn in AI Engineer: Build Real-World Agentic AI Applications:
- Design and implement ReAct-based AI agents that can reason, plan, and use external tools.
- Develop Agentic RAG applications using LlamaIndex, vector retrieval, and external knowledge sources.
- Create AI workflows with LangGraph for automation, orchestration, and stateful agent execution.
- Build multi-agent systems using CrewAI to solve real-world business and engineering problems.
- Develop visual AI applications using Langflow with low-code agent workflows and integrations.
- Monitor, trace, and evaluate AI agents using Langfuse for observability and debugging.
- Gain the Python programming skills needed to build and customize modern AI agent applications.
- Complete end-to-end AI projects including research assistants, email automation, vision AI, travel planning, resume optimization, and stock trading.
- and …
Course specifications
Publisher: Udemy
Instructors: Tech With Mala
Language: English
Level: Introductory to Advanced
Number of Lessons: 52
Duration: 8h 40m
Course topics
AI Engineer: Build Real-World Agentic AI Applications Prerequisites
Basic programming knowledge is helpful, but no prior AI Agent experience is required.
A basic understanding of Python is recommended. The course includes a Python fundamentals section to get started.
A computer with internet access and the ability to install Python, Anaconda, Jupyter Notebook, and VS Code.
Curiosity and interest in building AI applications using Large Language Models (LLMs) and Agentic AI.
No prior experience with LangChain, LangGraph, CrewAI, LlamaIndex, or RAG is required.
Pictures
AI Engineer: Build Real-World Agentic AI Applications introduction video
Installation guide
After Extract, watch with your favorite Player.
Subtitle: None
Quality: 1080p
Downloadly link
Rapidgator link
File password (s): www.downloadly.ir
Size
4.8 GB