Description
Full Stack AI Engineering Bootcamp is a course on designing, building, and deploying full-stack AI applications from start to finish, published by Udemy Online Academy. You’ll learn how to integrate modern AI models such as Large Language Models (LLMs) and generative systems into real-world products, architect scalable backend APIs, and build responsive frontend UIs that seamlessly interact with AI services. The course covers core software engineering principles including database design, RESTful and GraphQL APIs, authentication, state management, cloud deployment, and CI/CD workflows, while also teaching you how to optimize AI workflows with rapid engineering, context management, and performance monitoring.
This course is designed to take you from the basics to advanced real-world AI engineering with a clear learning path. You won’t just learn the concepts. You’ll build systems, understand why they work, and learn how the different parts of AI, data, machine learning, deep learning, and LLM engineering connect together in real-world projects. Most courses teach the tools separately. This course teaches you how to connect everything into a complete AI engineering workflow used in industry.
What you will learn in Full Stack AI Engineering Bootcamp:
- Develop production-ready AI APIs using FastAPI and Docker for scalable model deployment.
- Understand and implement LangChain and LangGraph to build multi-agent LLM applications with memory, tools, and workflows.
- Learn the Model Context Protocol (MCP) and create MCP servers and clients for advanced AI tool integration.
- Perform data analysis, visualization, and feature engineering using Matplotlib and Scikit-Learn for machine learning pipelines.
- Design AI systems with context engineering, rapid engineering, RAG, and memory management.
- Gain practical skills needed for AI engineer, NLP engineer, and LLM engineer roles in industry.
- And…
Course specifications
Publisher: Udemy
Instructors: Aritra Basak
Language: English
Level: Introductory to Advanced
Number of Lessons: 292
Duration: 47 hours and 5 minutes
Course topics
Full Stack AI Engineering Bootcamp Prerequisites
No prior knowledge of AI or machine learning is required. Everything is taught from the ground up
A laptop or desktop with internet connection to run Python, VS Code, and required tools
Pictures
Full Stack AI Engineering 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
19 GB
