The 10 best Large Language Models courses in 2026

This course introduces learners to the core principles of artificial intelligence, including its history, definitions, and the role of data in AI. You’ll explore algorithms, specialized hardware, and delve into machine learning and deep learning fundamentals. Ethical considerations around AI, especially generative AI (GenAI), will also be discussed, ensuring you understand the broader impact AI has on society and the workforce. With clear explanations and real-world examples, the course ensures you not only learn theoretical concepts but also understand their practical implications. You’

"Understand RAG Basics" is an intermediate course for developers and data scientists who want to build more powerful and trustworthy AI applications. While Large Language Models (LLMs) are revolutionary, they often lack specific, up-to-date knowledge and can hallucinate answers. This 2-hour course provides the fundamental solution: Retrieval-Augmented Generation (RAG). You will need to be familiar with basic Python, API, and LLMs. You will also need Python and a code editor like VS Code installed locally. Focused on practical application, this course transitions from theory to execution. Y

Expand your understanding of H2O's GenAI platform with the Ecosystem Overview - Level 2 course, presented by H2O's very own Sanyam Bhutani! This course provides an in-depth comprehensive exploration of the tools, applications, and methodologies tailored for artificial intelligence (AI) and machine learning (ML) within the H2O ecosystem. You will delve deeper into efficient data preparation techniques, advanced model training, deployment strategies, and real-time monitoring solutions, covering the full spectrum of all the capabilities available. Through engaging modules, you will soon master t

This Generative AI for Software Development course offers a comprehensive introduction to AI-powered tools that enhance coding, application development, and code quality. Begin by learning how Generative AI supports code completion and generation with tools like Amazon CodeWhisperer—build scripts, functions, and class structures through hands-on demos. Progress to using AI in application development and code translation—auto-generate app architectures and translate code across programming languages to streamline workflows. Conclude with AI-driven code refactoring and review—optimize code, redu

In this course, you'll build a solid foundation in generative AI, language models, and the LangChain framework, which are revolutionizing intelligent workflows. By understanding the architecture and applications of LangChain, you'll be prepared to create efficient AI solutions. This course focuses on key tools like prompts, templates, and multimodal applications. You'll gain hands-on experience with LangChain's building blocks, including LangGraph, and learn how to design AI workflows and manage memory mechanisms. What makes this course stand out is its blend of theory and real-world example

Imagine a world where your photos don't just capture memories, but also become intelligent assistants, helping you navigate and manage daily tasks. Welcome to "GPT Vision: Seeing the World Through Generative AI", a course designed to revolutionize how you interact with the world around you through the lens of Generative AI and photos. In this course, you will learn to how take a picture of anything and turn it into: - a recipe - a shopping list - DIY plans to make it - a plan to reorganize it - a description for a social media post - organized text for your notes or an email - an expense re

This course teaches how to design and optimize cloud workloads that reduce environmental impact without compromising performance or scalability. You will learn sustainable strategies essential for modern cloud and GenAI-driven systems. Throughout the course, you will analyze carbon footprint, optimize resource consumption, and apply cost-efficient architectural patterns to real implementations. These skills will help you meet sustainability goals while improving operational outcomes. Hands-on examples and real-world cloud architectures connect sustainability principles directly to practical

Generative AI is revolutionizing executive leadership, acting as the most significant cognitive multiplier since the dawn of the digital age. CEOs who treat AI as a strategic thought partner are significantly more likely to outperform competitors in growth and innovation. Far from a fleeting trend, generative AI marks a transformative shift in how leaders think, communicate, and drive change. The GenAI CEO Playbook equips senior executives with practical frameworks to integrate AI into leadership, enhancing decision quality while preserving the authentic leadership voice. Grounded in real-wor

Learn to deploy ML models to production using the Sovereign Rust Stack—a pure Rust implementation with zero Python runtime dependencies. This hands-on course teaches you to work with three critical model formats (GGUF, SafeTensors, APR), implement MLOps pipelines with CI/CD and observability, and deploy models across GPU, CPU, WebAssembly, and edge targets. Through real-world projects including a Python-to-Rust transpiler (Depyler), browser-based speech recognition (Whisper.apr), and LLM inference benchmarking (Qwen), you'll master format conversion, cryptographic model signing, and performan

The course provides a comprehensive exploration of how generative AI is reshaping software development by accelerating coding, improving debugging, and enhancing automation. It is designed for aspiring software engineers, developers, and professionals who want to integrate AI into modern development workflows to build efficient, scalable, and error-free applications. You will explore the role of large language models (LLMs) like GPT, Gemini, and LLaMA in coding tasks, software testing, and project automation. The course begins with foundational AI concepts—machine learning, deep learning, and