Description
“3-Day AI Engineering Bootcamp – Become an AI Engineer” is a training course—published by the online academy Udemy—that introduces the essential skills and technologies behind modern AI applications. You will explore the fundamentals of AI engineering, learn how Large Language Models (LLMs) function, and discover how to integrate AI capabilities into practical software solutions. You will gain insights into prompt engineering, AI application development, Retrieval-Augmented Generation (RAG), and intelligent automation, while exploring the tools and workflows used to build AI-powered products. This bootcamp helps aspiring AI engineers and developers understand the AI development lifecycle, bridge theoretical concepts with practical applications, and establish a foundation for building useful AI solutions. You will grasp the basics of AI engineering and modern AI systems, including the inner workings of Large Language Models (LLMs) and how they power contemporary AI applications.
You will build AI applications using LLM APIs—covering prompt construction, context management, and the generation of structured outputs. You will design and implement Retrieval-Augmented Generation (RAG) systems utilizing embeddings, vector databases, and document retrieval pipelines. Furthermore, you will develop AI agents capable of multi-step reasoning, tool usage, and workflow automation. You will deploy AI applications using FastAPI backends and APIs, making them available as production-ready services. You will implement production-grade AI practices—such as guardrails, logging, monitoring, and cost optimization—to ensure the reliable operation of AI systems. Whether you are transitioning into the field of AI or expanding your existing programming skills, this course offers a focused introduction to the technologies and techniques shaping the future of AI engineering, providing a foundation for further learning and a career in the field.
What you will learn in 3-Day AI Engineering Bootcamp – Become an AI Engineer:
- Understand the foundations of AI engineering, including how Large Language Models (LLMs) work and how they power modern AI applications.
- Build AI applications using LLM APIs, including creating prompts, managing context, and generating structured outputs.
- Design and implement Retrieval Augmented Generation (RAG) systems using embeddings, vector databases, and document retrieval pipelines.
- Develop AI agents capable of multi-step reasoning, tool usage, and workflow automation.
- Deploy AI applications using FastAPI backends and APIs, making them accessible as production-ready services.
- Apply production AI practices such as guardrails, logging, monitoring, and cost optimization to operate AI systems reliably.
- and …
Course specifications
Publisher: Udemy
Instructors:School of AI
Language: English
Level: Introductory to Advanced
Number of Lessons: 66
Duration: 6 hours and 12 minutes
Course topics
3-Day AI Engineering Bootcamp – Become an AI Engineer Prerequisites
Basic familiarity with Python programming is helpful but not strictly required.
A computer with internet access capable of running development tools and installing Python packages.
Willingness to learn how AI applications are built and deployed through hands-on exercises.
No prior experience with AI, machine learning, or LLMs is required — the course covers the fundamentals from the ground up.
A curiosity about building real AI systems and experimenting with modern AI tools and frameworks.
Pictures
3-Day AI Engineering Bootcamp – Become an AI Engineer introduction video
Installation guide
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Downloadly link
Rapidgator link
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Size
2 GB