[Free] 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. – Free Course

Added on April 20, 2025 IT & Software 2 min read

What you’ll 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)

Requirements

No prior AI or machine learning experience is required.
Basic Python knowledge is helpful but not mandatory—everything essential will be covered in the 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.