Description
AI Engineering Fundamentals: Build Real LLM Apps in Python is a Python course published by Udemy Online Academy. This course is a hands-on, project-based introduction to AI engineering that teaches learners how to build production-ready applications based on Large Language Models (LLMs) using Python. Designed for Python developers, software engineers, data scientists, and aspiring AI engineers, this course covers the essential concepts, tools, and workflows needed to develop modern AI applications.
Students will learn about LLM integration, rapid engineering, retrieval-based additive manufacturing (RAG), embeddings, vector databases, API integration, AI agent principles, model evaluation, and application deployment. Most AI courses are full of theory, math, statistics, and machine learning. This course is not. As an AI engineer, you don’t teach models from scratch. You build applications based on existing powerful models. You are on the API product side. So that’s what we focus on: integrating LLMs into real applications.
What you will learn in AI Engineering Fundamentals: Build Real LLM Apps in Python:
- Create a complete AI-powered job agent that scans job postings, categorizes and ranks them with LLMs, and sends the best matches to your inbox
- Understand what AI engineers actually do and what skills companies are hiring for by analyzing hundreds of real job postings
- Build sample projects that prove your AI engineering skills to employers, plus ideas for highlighting your own projects
- Learn agile engineering well: system vs. user, instructions vs. input, and output generation techniques that make outputs reliable
- Design multi-stage AI workflows that chain LLM calls to classify, extract, summarize, and match
- Structured output with Pydantic
- And…
Course specifications
Publisher: Udemy
Instructors: Lukas Lechner
Language: English
Level: Introductory
Number of Lessons: 56
Duration: 6 hours and 16 minutes
Course topics

AI Engineering Fundamentals: Build Real LLM Apps in Python Prerequisites
Git Knowledge
Familiar with at least one programming language. In the course we will use Python, which can be easily picked up by anybody who has at least experience in one programming language
Buying $5 in Credits for the OpenAI API are recommended, but the course also shows how to use local models for free instead.
Pictures

AI Engineering Fundamentals: Build Real LLM Apps in Python 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
3.9 GB


