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This course is perfect for aspiring AI engineers, data scientists, and developers who are eager to dive into the world of Generative AI and Large Language Models (LLMs). You will transform your understanding of AI by building real-world applications and mastering cutting-edge techniques in just eight weeks. Gain hands-on experience that will set you apart in the rapidly evolving AI landscape.

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Become an LLM Engineer in 8 weeks: Build and deploy 8 LLM apps, mastering Generative AI, RAG, LoRA and AI Agents.

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LLM Engineering: Master AI, Large Language Models & Agents

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Ligency

Ligency Team

AI startup co-founder and leader; Gen AI and LLM instructor

Ed Donner

This course is designed for anyone looking to dive into the world of deep learning using PyTorch, whether you're a beginner or have some prior experience in machine learning. You will gain hands-on experience in building real-world models that can classify images and solve complex problems, setting you on a path to becoming a sought-after Deep Learning Engineer.

PyTorch

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Learn PyTorch. Become a Deep Learning Engineer. Get Hired.

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Founder of zerotomastery.io

Andrei

Andrei Neagoie

Machine Learning Engineer/Writer/Video maker

Daniel

Daniel Bourke

Learn Large Language Models (LLM) today: find your Large Language Models (LLM) online course on Udemy

Top Large Language Models (LLM) Courses Online - Updated [July 2025]

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This course is designed for absolute beginners eager to dive into the world of AI without any programming experience. You will transform from a curious learner to an LLM engineer, mastering key concepts of large language models through fun, relatable food analogies. By the end of the course, you'll have the confidence to create AI applications and impress others with your newfound knowledge!

Master Large Language Models with Zero Code! Learn AI, Prompting & Fine-Tuning Through Fun & Tasty Food Analogies(AI)

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From Recipe to Chef: Become an LLM Engineer 100+ Projects

AI Academy

Jet Drag Academy:

Jet Drag Academy: School of AI

This course is designed for software developers, data scientists, and AI enthusiasts who want to build and run large language models (LLMs) locally with confidence. You will learn to create secure, private applications that leverage cutting-edge tools like Python, Ollama, and LangChain. By the end of this course, you'll have complete control over your AI models and be empowered to build efficient, robust LLM applications right on your own machine.

Learn to create LLM applications in your system using Ollama and LangChain in Python | Completely private and secure

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Build local LLM applications using Python and Ollama

5,000,000+ Enrollments | 4.5 Rated | 160+ Countries

Start-Tech

Start-Tech Academy

This course is perfect for AI enthusiasts, developers, and data scientists eager to run customized large language models on their own systems while ensuring data privacy. You will transform from a beginner to an expert in building local LLM applications using Ollama, mastering the art of customizing models and creating interactive interfaces.

Run customized LLM models on your system privately | Use ChatGPT like interface | Build local applications using Python

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Zero to Hero in Ollama: Create Local LLM Applications

This course is designed for developers, data scientists, AI enthusiasts, and anyone eager to dive into the transformative world of Large Language Models (LLMs). Whether you're a beginner or looking to enhance your existing skills, you will gain a comprehensive understanding of LLMs and how to leverage their capabilities for various applications like chatbots and data analysis.

Basics to AI-Agents: OpenAI API, Gemini API, Open-source LLMs, GPT-4o, RAG, LangChain Apps, Colab, Prompt Engineering

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LLM Mastery: ChatGPT, Gemini, Claude, Llama3, OpenAI & APIs

Dein Dozent

Arnold

Arnold Oberleiter

This course is tailored for beginners in machine learning as well as AI professionals seeking to optimize their models for deployment on resource-constrained devices. You will learn to implement quantization techniques that enhance the efficiency and performance of AI models, making them suitable for edge devices. Transform your approach to model optimization and unlock new capabilities in your AI projects.

Unlock the power of model optimization! Learn how to apply quantization and make your GenAI models efficient with Python

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Quantization for GenAI Models

This course is tailored for security professionals, AI developers, and ethical hackers who are eager to secure generative AI applications, regardless of their prior knowledge in penetration testing. You will gain a deep understanding of the vulnerabilities associated with large language models (LLMs) and learn advanced red teaming techniques. Prepare to transform your skills in AI security and take the critical steps toward becoming proficient in LLM penetration testing.

Master LLM Security: Penetration Testing, Red Teaming & MITRE ATT&CK  for Secure Large Language Models

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Pentesting GenAI LLM models: Securing Large Language Models

Analytics and ML academy

Start-Tech Trainings

This course is designed for aspiring AI Engineers, developers, and tech enthusiasts looking to master Large Language Models (LLMs) and AI applications. Regardless of your experience level, you will transform into a proficient AI engineer, capable of building and optimizing real-world AI-powered applications. Dive into hands-on projects and gain the skills to excel in the rapidly evolving field of AI.

From Fundamentals to Advanced AI Engineering – Fine-Tuning, RAG, AI Agents, Vector Databases & Real-World Projects

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AI & LLM Engineering Mastery: GenAI, RAG Complete Guide

Android, Flutter, AWS, Best Selling Instructor

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Paulo Dichone | Software Engineer, AWS Cloud Practitioner & Instructor

This course is designed for software engineers, quality assurance engineers, and software testers who want to enhance their skills in evaluating AI-based systems, specifically RAG-LLMs. It provides a comprehensive understanding of LLM architecture and equips you with the tools to effectively evaluate and test these models. By the end of this course, you will have the confidence to create a robust evaluation framework using the RAGAS library.

Understand, Evaluate & Test  RAG - LLM's (AI based Systems) from Scratch using RAGAS-Python-Pytest Framework

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Rahul

Rahul Shetty

This course is designed for AI developers, product managers, and anyone interested in securing large language model applications. No deep security background is required, making it suitable for those with basic familiarity with LLMs. You can expect to gain a comprehensive understanding of the critical vulnerabilities in LLM applications and how to mitigate them effectively.

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Jenkins CI/CD, Docker, K8s, AWS/GCP, Prometheus monitoring & vector DBs for production LLM deployment with real projects

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KRISHAI Technologies Private

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Data Science, ML and AI Instructor

Sudhanshu

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This foundational course is designed for beginners and those with some machine learning experience who are eager to explore Large Language Models (LLMs). You will gain a deep understanding of language modeling concepts, techniques, and their real-world applications, empowering you to effectively create and apply your own models.

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Looking to advance your skills in Large Language Models (LLM)? We've got you.

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LLM Engineering: Master AI, Large Language Models & Agents

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LLM Engineering: Master AI, Large Language Models & Agents

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Large Language Models (LLM) relates to IT & Software Development

Large Language Models (LLM) Courses

Looking to advance your skills in Large Language Models (LLM)? We've got you.

Get everything you need to reach your goals in one convenient bundle.

LLM Engineering: Master AI, Large Language Models & AgentsBecome an LLM Engineer in 8 weeks: Build and deploy 8 LLM apps, mastering Generative AI, RAG, LoRA and AI Agents.Rating: 4.7 out of 513719 reviews25.5 total hours225 lecturesAll Levels

PyTorch for Deep Learning BootcampLearn PyTorch. Become a Deep Learning Engineer. Get Hired.Rating: 4.5 out of 55006 reviews52 total hours358 lecturesBeginner

LLM Engineering: Master AI, Large Language Models & AgentsBecome an LLM Engineer in 8 weeks: Build and deploy 8 LLM apps, mastering Generative AI, RAG, LoRA and AI Agents.Rating: 4.7 out of 513719 reviews25.5 total hours225 lecturesAll Levels

PyTorch for Deep Learning BootcampLearn PyTorch. Become a Deep Learning Engineer. Get Hired.Rating: 4.5 out of 55006 reviews52 total hours358 lecturesBeginner

Large Language Models (LLM) relates to IT & SoftwareDevelopment

LLM Engineering: Master AI, Large Language Models & Agents

PyTorch for Deep Learning Bootcamp

LLM Engineering: Master AI, Large Language Models & Agents

PyTorch for Deep Learning Bootcamp

Large Language Models (LLM) relates to IT & Software Development