Become an LLM Engineer: Build and Deploy Real-World AI Apps
Become an LLM Engineer: Build and Deploy Real-World AI Apps, Master the tools and techniques behind modern AI apps using Python, OpenAI, and multimodal models.
Course 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.
