Become an LLM Engineer in 8 weeks: build and deploy 8 real applications with Large Language Models while mastering Generative AI and its fundamentals.
Generative Artificial Intelligence is transforming how products are developed, processes are automated, and new professional opportunities are created. In this LLM Engineering course, you'll learn to build real applications with the most advanced language models on the market while developing the skills companies are looking for. Over 8 weeks you'll create practical projects using technologies like Hugging Face, LangChain, Gradio, RAG, QLoRA, and AI agents.
Unlike courses focused solely on theory or prompting, here you'll work as a genuine LLM Engineer. You'll learn to integrate Frontier and open-source models, develop multimodal assistants, build RAG systems, perform fine-tuning with QLoRA, create autonomous agents, and deploy production-ready applications. All through a completely hands-on approach, without needing advanced math knowledge.
Throughout the course you'll develop projects inspired by real-world use cases: a multimodal assistant for customer service, an intelligent meeting minutes generation system, a code translator with performance improvements, a price prediction engine, and enterprise applications based on information retrieval. Each project is designed to teach you a key technology from the modern Generative AI ecosystem while you build a solid portfolio.
The course is taught by Juan Gabriel Gomila, an international reference in Artificial Intelligence training and data science, who will guide you step by step from the fundamentals of Large Language Models (LLM) to the most advanced techniques currently used in technology companies. If you want to become a professional capable of designing, developing, and deploying Generative AI solutions, this course will provide you with a clear, practical, and real-world-oriented path.
Understand how LLMs work, the Transformer architecture and the fundamental principles of Generative AI to apply them to real-world problems.
Build complete products using Frontier and open-source models via APIs and local inference with Python.
Design intelligent assistants capable of querying business information through Retrieval-Augmented Generation (RAG) and semantic search.
Learn to perform efficient fine-tuning on open-source models to adapt them to specific needs with reduced resource consumption.
Develop multiagent systems capable of automating complex tasks, collaborating with each other, and solving real workflows.
Build applications like multimodal assistants, meeting minute generators, price predictors, code translators, and intelligent agents ready for production.
Use leading tools like Hugging Face, LangChain, Gradio, and Weights & Biases to develop, evaluate, and deploy AI solutions.
Compare Frontier and open source models to choose the best alternative based on cost, performance, speed and accuracy.
Learn the complete development workflow, from prototype to production-ready applications for enterprise environments.
Ligency Team is an international team of experts in programming, artificial intelligence, data science and technology, founded by Kirill Eremenko and Hadelin de Pontevés, creators of some of the world's most popular courses in these disciplines. With millions of students and a multidisciplinary team of over 20 professionals, our mission is to offer practical, high-quality training that helps people at any level develop relevant technological skills. Since 2018, our courses have been available in Spanish thanks to the collaboration with Juan Gabriel Gomila and Frogames Formación, bringing the best educational content to the Spanish-speaking community.
Mathematician, Certified Unity Instructor, and Online Instructor who has trained over 600,000 students worldwide across different platforms such as Udemy and Platzi. CEO of Frogames Formación and driving force behind this platform, bringing all his knowledge in Mathematics, Machine Learning, Videogames, AI and Blockchain among others.
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