// Skill
Learn Large Language Models
Careers that need Large Language Models
ShortcutNot sure if Large Language Models is the right thing to learn next? Get a personalized roadmap based on your resume and target role.
Best courses to learn Large Language Models
Generative AI for University Leaders
Generative AI is rapidly reshaping industries and the skills that students are going to be expected to have to be employable. As the pace of technological change accelerates, universities must innovate to stay competitive and ensure that they are giving students the skills that they need to be competitive. At the same time, generative AI offers the potential to transform university operations, from automating course scheduling and content creation to streamlining expense reporting and administrative functions. This course provides university leaders with a foundation to understand enough of t
All levels
Generative AI for Educators: AI Literacy & Prompting Skills
Learn how to harness the power of generative AI whilst retaining complete professional control in the classroom. This comprehensive course equips educators with essential AI literacy skills and the ability to strategically and effectively prompt AI models without compromising pedagogical expertise. Learn to leverage AI as a powerful assistant for lesson planning, assessment design, and resource creation while you remain the ultimate decision-maker in all educational contexts. Discover how to craft effective prompts that generate meaningful educational content, evaluate AI outputs critically,
All levels
Build AI Apps with Spring AI, OpenAI, Ollama & SpringBoot
This course features Coursera Coach! A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course. In this course, you will explore how to harness the power of Spring AI, OpenAI, and Ollama to create intelligent AI-driven applications using Java and Spring Boot. From understanding the fundamentals of large language models (LLMs) to integrating OpenAI’s API, you'll learn the best practices for building and optimizing AI apps for real-world scenarios. By diving deep int
All levels
AgenticAIBIZ (Exam AGZ-110): Foundations of Agentic AI
Artificial intelligence (AI) agents are rapidly becoming a core driver of business automation. Harnessing the power of generative AI and large language models (LLMs) through agentic frameworks introduces powerful new ways to streamline operations, boost productivity, and free users from tedious and time-wasting tasks. By designing and deploying agents responsibly and effectively, organizations can accelerate adoption, reduce risks, and gain a competitive advantage in the impending "agentic shift." This course is an introduction to AI agents from a strategic business perspective. It will not t
All levels
Foundations of Generative AI and LangChain
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
All levels
GPT Vision: Seeing the World through Generative AI
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
All levels
Sustainable Cloud Development
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
All levels
CEO Playbook: Generative AI
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
All levels
Production ML with Hugging Face
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
All levels
Generative AI Course in Software Building
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
All levels
H2O Gen AI Ecosystem Overview - Level 2
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
All levels
Understand RAG Basics
"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
All levels
Foundations of Artificial Intelligence
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’
All levels
Generative AI in Software Development
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
All levels
Foundations of LLMs and Deep Learning for Text Analysis
This course introduces the foundational concepts of large language models (LLMs) and deep learning techniques for text analysis, a critical skill set in today’s AI-driven landscape. As organizations increasingly rely on intelligent systems to process and interpret language data, understanding these technologies has become essential for modern professionals. Throughout the course, learners will explore how deep learning models analyze and extract meaning from textual data, gaining practical insights into real-world NLP applications. By studying the architecture and working principles of transf
All levels
Ethics in GenAI for Software Engineering Training
This beginner-friendly course explores the ethical and legal foundations of using Generative AI in software engineering. Learn key ethical frameworks, understand common types of bias in AI-generated code, and explore their real-world impact on development. Delve into legal considerations like data privacy, transparency, explainability, and compliance. Through real case studies including racial bias in facial recognition and data breaches discover strategies to build fair, responsible, and legally compliant AI systems. No prior AI ethics or legal knowledge is required. A basic understanding of
All levels
GenAI for Legal Document Management
This course is designed to empower legal professionals with the skills to integrate Generative Artificial Intelligence (GenAI) into their document management processes. By leveraging GenAI, participants will learn to automate repetitive tasks, enhance accuracy, and optimize overall workflow efficiency, thereby staying competitive in today's technology-driven legal landscape. This course is tailored for legal professionals—including attorneys, paralegals, legal operations managers, and law firm administrators—who aim to reduce administrative burdens and streamline document management through A
All levels
Content Marketing Using Generative AI
The Content Marketing in Generative AI course provides you with a foundational knowledge of digital marketing and how Generative AI continues to revolutionize the way marketing organizations effectively manage content. This course focuses on the developing and expanding the necessary skills and expertise for effective online brand promotion by leveraging customer insights to optimize marketing campaigns and understanding customer sentiments. This course is ideal for marketing professionals seeking to gain a basic understanding of digital marketing and Generative AI applications, and the necess
All levels
Building and Fine-Tuning LLM Applications
This course features Coursera Coach! A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course. In this comprehensive course, you'll learn how to build and fine-tune large language models (LLMs) for real-world applications. Starting with fundamental concepts, you'll progress through hands-on projects that focus on document-based retrieval-augmented generation (RAG) systems, LangChain integration, and fine-tuning techniques. You'll gain the skills to build custom ap
All levels
MLOps and responsible AI practices
This course equips you with the essential skills to take generative AI models from development to production. You will learn to implement robust MLOps practices on Azure, including automated CI/CD pipelines, version control, and full lifecycle management for your models. Simultaneously, you will dive into the critical principles of Responsible AI, using Microsoft’s framework to build fair, transparent, and ethical models that you can deploy with confidence.
All levels
Fast-Track Data Analysis and Presentations
Need to crunch data or pull together a presentation? In this course, you’ll design prompts that help you extract insights, understand spreadsheet formulas, and build graphs to visualize data. You'll also explore how to use AI tools to help with speaker notes and practice before your big day, once you’re ready to present your findings. By the end of this course, you will be able to: - Develop a responsible prompting practice when entering data into generative AI tools - Apply the prompting framework to extract insights from data, identify and fix spreadsheet formulas, and explore data visualiz
All levels
LLM Engineer’s Handbook
In this comprehensive course, you will explore the intricate world of Large Language Models (LLMs) and gain the skills to design, train, and deploy them using cutting-edge MLOps practices. LLMs are revolutionizing the AI landscape, and understanding how to develop and manage them is essential for AI professionals. This course is designed to help you not only grasp the core concepts behind LLMs but also give you hands-on experience to build production-grade LLM systems. You'll learn how to create scalable, efficient LLM systems from scratch, focusing on real-world applications that will make y
All levels
GenAI for Healthcare Ethics
In this course, you’ll explore the power of Generative AI and learn how to mitigate its ethical challenges. You’ll gain practical tools to ensure that AI-driven healthcare systems are fair, transparent, and prioritize patient well-being. From tackling bias in AI models to developing informed consent policies, this course will empower you to lead the way in ethical AI integration. This course is ideal for healthcare professionals, AI developers, or anyone curious about the intersection of AI and medicine. No prior AI experience is necessary, but a basic understanding of healthcare processes or
All levels