Description
AI Agents, RAG & MCP: 7-Day Builder Bootcamp is a course on rapidly building modern AI applications using AI agents, Retrieval Augmentative Generation (RAG), and the Model Context Protocol (MCP) published by Udemy Online Academy. AI Agents, RAG & MCP: 7-Day Builder Bootcamp is an intensive, hands-on course designed for developers, AI engineers, architects, and technical professionals who already have experience with Python and early AI development and want to master the next generation of AI systems. Over seven days, students will learn how to build intelligent systems that can retrieve information, interact with external tools, manage context, and automate complex workflows.
The course covers Large Language Models (LLM), agent architectures, RAG pipelines, MCP integrations, rapid engineering, memory management, tool invocation, and deployment strategies. Finally, you will learn how professional AI teams evaluate, monitor, manage, and deploy AI systems using AI assessment frameworks, observability, guardrails, FastAPI, and production engineering practices. Whether your goal is to become an AI engineer, agent engineer, generative AI developer, solutions architect, or technical leader, this course provides hands-on experience building the types of systems that organizations are actively deploying today.
What you will learn in AI Agents, RAG & MCP: 7-Day Builder Bootcamp:
- Design and implement advanced RAG systems using hybrid retrieval, knowledge graphs, and agent-driven workflows.
- Develop MCP servers that connect AI systems to databases, APIs, tools, and enterprise resources.
- Create browser agents that navigate websites, automate workflows, and perform real-world tasks.
- Architect and tune multi-agent systems using LangGraph and modern agent communication patterns.
- Build multi-modal AI applications that combine text, images, documents, and voice interactions.
- Implement AI assessment, observability, monitoring, and governance practices for production systems.
- Develop portfolio-ready AI applications using Python, FastAPI, vector databases, and modern AI frameworks.
- Understand enterprise AI architecture patterns used in advanced AI products and platforms.
- And…
Course specifications
Publisher: Udemy
Instructors: School of AI and Arjun Vaid
Language: English
Level: Introductory to Advanced
Number of Lessons: 36
Duration: 12 hours
Course topics
AI Agents, RAG & MCP: 7-Day Builder Bootcamp Prerequisites
Intermediate Python programming experience.
Basic understanding of APIs and JSON.
Familiarity with command-line tools and package management.
Prior exposure to AI, machine learning, or LLM applications is recommended.
A computer capable of running modern AI development tools.
Internet access for installing libraries and development frameworks.
Curiosity and willingness to build complex systems through hands-on projects.
No prior experience with agents, RAG, MCP, or LangGraph is required.
No advanced mathematics or machine learning background is necessary.
All projects are built step-by-step throughout the course.
Pictures
AI Agents, RAG & MCP: 7-Day Builder Bootcamp 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
7.6 GB
