Become an LLM Engineer
Build and deploy real-world LLM apps. Learn the fundamentals of Generative AI, RAG, LoRA, and AI agents through hands-on projects
6 Modules • 30 Lessons
Get this course + full access to the AI-for-Devs library for just €19/month
Try Premium Plan for FreeCancel anytime
-
What You Will Learn
-
✓ A practical understanding of LLMs and how they work in real applications
-
✓ Building and Deploying Real AI Assistants and Chat Systems
-
✓Using Multimodal Models: Text, Audio, and Vision with GPT-4o
-
✓Apply advanced GPT techniques such as function calling, SQL querying, and Retrieval-Augmented Generation (RAG)
-
✓Insight into working with open-source models like LLaMA
-
✓Industry Use Cases and AI Ideas You Can Actually Build (and Sell)
Course Content
6 Modules • 30 Lessons
Optional: Getting Started with Python & OpenAI
- Introduction
- Python Essentials: Set Up with Visual Studio Code
- Implementing Your First OpenAI API Call
- Understanding User Roles in the OpenAI Chat API
Core Concepts of Machine Learning
- Introduction
- Eliza: Building the World’s First Chatbot
- AI, Machine Learning & Deep Learning
- Unsupervised Learning: Determining T-Shirt Sizes with K-Means
- Supervised Learning: How AI Learns to Recognize Objects
- Reinforcement Learning
- Deep Learning
Getting Started with Large Language Models (LLMs) & GPT-4o
- Introduction
- What Exactly Is an LLM?
- Build a Talking & Listening AI Companion
- Web Scraping with Vision: GPT-4o in Action
Building a Real J.A.R.V.I.S Assistant
- Introduction
- Building a Real J.A.R.V.I.S Assistant
- Mastering Email Automation with J.A.R.V.I.S
Building a Real-World AI Chat System
- Introduction
- RAG Fundamentals: Splitting & Vector Store Basics
- Enhancing Queries with Context
- Transitioning to a Production-Ready Vector Store
- Building a Flask-Based API Endpoint
- Implementing Real-Time HTTP Streaming
- Designing a Web Chat Interface
Advanced Techniques in AI and GPT Integration
- Introduction
- Advanced Function Calling Techniques
- Using SQL with GPT
- Deep Dive into Embeddings
- Retrieval-Augmented Generation (RAG) with Vector Stores
Video Previews
Requirements
- Beginner programming knowledge - If you can write a simple function and understand variables, you're ready
- Basic understanding of web requests - We'll guide you through all the API connections step by step
- A modern computer - Any laptop from the last few years will work perfectly fine
- Curiosity about AI - No prior machine learning or AI experience needed
Don't worry if you're new to coding! We explain everything from the ground up and provide all the source code you need.
Description
This course is your hands-on introduction to the world of large language models (LLMs) and how to build real, usable AI systems with them. Whether you're a developer, a curious learner, or someone exploring the future of work, this course will show you how to move from idea to deployment using Python, OpenAI, and open-source models like LLaMA.
You’ll start by building a strong foundation in how the OpenAI API works, before diving into essential machine learning techniques like clustering and regression. Then, you’ll explore cutting-edge tools like GPT-4o—capable of working with text, audio, and images in one unified model.
From voice-controlled assistants to full-stack chatbots with memory and a custom interface, you’ll build real applications step by step.
Why Take This Course?
-
Tailored for Beginners: Whether you're new to AI or just starting with language models, this course breaks down complex concepts into clear, practical steps—giving you a solid foundation in LLM engineering.
-
Learn by Building: Create your own J.A.R.V.I.S-style assistant, automate tasks, and deploy full chat systems.
-
Modern Stack: Work with OpenAI, vector stores, Groq, function calling, embeddings, and more.
-
Career-Ready Skills: LLM engineering is one of the fastest-growing areas in AI—this course gets you up to speed.
-
Practical + Flexible: Optional beginner support and tools for both closed and open-source AI.
Who this course is for:
- This course is for developers, tech-savvy creators, and curious learners who want to understand and build with modern AI tools—from simple chatbot logic to full multimodal assistants and real-world applications.
- It’s especially well-suited for those looking to integrate OpenAI or open-source models into practical projects.
Learn from an AI Development Expert
Hi, I'm Sebastian Schlaak, founder of AI-for-Devs.
With a Master’s degree in Informatics and over 15 years of experience in software and AI development, I specialize in helping developers build practical, production-ready AI systems.
My courses are designed to bridge the gap between theory and implementation. Whether you're working with OpenAI, LangChain, or open-source models like Llama, I focus on giving you the tools, code, and confidence to ship real-world applications.
Join 1,000+ developers who’ve used these methods to launch AI tools, streamline workflows, or kick off entirely new product ideas.
