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    • Large Language Models

    Large Language Models (LLMs) Courses Online

    Study large language models for advanced natural language processing. Learn to build and apply models like GPT-3 for various NLP tasks.

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    Explore the Large Language Models (LLMs) Course Catalog

    • U

      University of Glasgow

      Generative AI for Healthcare Students and Professionals

      Skills you'll gain: Data Ethics, Healthcare Industry Knowledge, Predictive Modeling, Healthcare Ethics, Generative AI, Prompt Engineering, Artificial Intelligence, Deep Learning, Health Care, Artificial Neural Networks, Image Analysis, Health Informatics, Medical Imaging, Augmented and Virtual Reality (AR/VR), Radiology, Bayesian Statistics

      4.8
      Rating, 4.8 out of 5 stars
      ·
      6 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      Imperial College London

      Android Graphics with OpenGL ES

      Skills you'll gain: Logo Design, Computer Graphics, Visualization (Computer Graphics), Android Development, Augmented and Virtual Reality (AR/VR), Graphics Software, Animation and Game Design, Computer Graphic Techniques

      4.6
      Rating, 4.6 out of 5 stars
      ·
      43 reviews

      Intermediate · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Master Data Analysis with Pandas: Learning Path 1 (Enhanced)

      Skills you'll gain: Pandas (Python Package), Data Manipulation, Data Analysis, NumPy, Python Programming

      4.6
      Rating, 4.6 out of 5 stars
      ·
      25 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • C

      Coursera Project Network

      Prompt Engineering with GPT: Programming for Custom Content

      Skills you'll gain: Prompt Engineering, Generative AI, OpenAI, ChatGPT, Large Language Modeling, Python Programming, Application Programming Interface (API)

      4.4
      Rating, 4.4 out of 5 stars
      ·
      45 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Publishing Visualizations in R with Shiny and flexdashboard

      Skills you'll gain: Shiny (R Package), Dashboard, Ggplot2, Interactive Data Visualization, Data Visualization Software, Data Presentation, Application Development, UI Components, Web Applications, User Interface (UI), Application Deployment

      4.9
      Rating, 4.9 out of 5 stars
      ·
      70 reviews

      Mixed · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Mining Quality Prediction Using Machine & Deep Learning

      Skills you'll gain: Regression Analysis, Predictive Modeling, Exploratory Data Analysis, Scikit Learn (Machine Learning Library), Supervised Learning, Applied Machine Learning, Decision Tree Learning, Statistical Analysis, Data Analysis, Test Data, Artificial Neural Networks, Data Import/Export, Pandas (Python Package), Software Visualization

      4.8
      Rating, 4.8 out of 5 stars
      ·
      66 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      E

      EDUCBA

      Introduction to Ethereum Blockchain

      Skills you'll gain: Blockchain, Development Environment, Software Development Tools, Application Deployment, Transaction Processing, Front-End Web Development, Application Development, Event-Driven Programming, Development Testing, Software Development, Cryptography, Javascript

      5
      Rating, 5 out of 5 stars
      ·
      44 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      A

      Arizona State University

      商务英语课程:财经英语 Finance & Economics

      Skills you'll gain: Purchasing, Procurement, English Language, Business Communication, Communication, Business Writing, Auditing, Negotiation, Business Ethics, Verbal Communication Skills, Budgeting, Influencing, Financial Forecasting, Business Economics, Literacy, Vocabulary

      4.8
      Rating, 4.8 out of 5 stars
      ·
      10 reviews

      Intermediate · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Python Scripting for DevOps

      Skills you'll gain: Scripting, Scripting Languages, Python Programming, Computer Programming Tools, Devops Tools, Data Structures, Programming Principles, Program Development

      4.3
      Rating, 4.3 out of 5 stars
      ·
      24 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      T

      Tsinghua University

      Data Structures and Algorithms (I)

      Skills you'll gain: Data Structures, Algorithms, Theoretical Computer Science, Spatial Analysis, Computational Thinking, Computational Logic, Computer Programming

      3.1
      Rating, 3.1 out of 5 stars
      ·
      33 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      M

      Microsoft

      Advanced Python Development Techniques

      Skills you'll gain: Data Structures, Generative AI, Test Driven Development (TDD), Integration Testing, Python Programming, Object Oriented Programming (OOP), Cloud Applications, Serverless Computing, Cloud Computing, Microsoft Azure, Algorithms, Software Documentation, Software Development Tools, Maintainability, Code Review, Software Development, Technical Documentation, Application Deployment

      3.8
      Rating, 3.8 out of 5 stars
      ·
      6 reviews

      Beginner · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Linux: I/O Redirection for DevOps

      Skills you'll gain: Bash (Scripting Language), Shell Script, Linux Commands, Unix Commands, Command-Line Interface, Linux, Unix Shell, Scripting

      4.8
      Rating, 4.8 out of 5 stars
      ·
      72 reviews

      Intermediate · Guided Project · Less Than 2 Hours

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    In summary, here are 10 of our most popular large language models courses

    • Generative AI for Healthcare Students and Professionals: University of Glasgow
    • Android Graphics with OpenGL ES: Imperial College London
    • Master Data Analysis with Pandas: Learning Path 1 (Enhanced): Coursera Project Network
    • Prompt Engineering with GPT: Programming for Custom Content: Coursera Project Network
    • Publishing Visualizations in R with Shiny and flexdashboard: Johns Hopkins University
    • Mining Quality Prediction Using Machine & Deep Learning: Coursera Project Network
    • Introduction to Ethereum Blockchain: EDUCBA
    • 商务英语课程:财经英语 Finance & Economics: Arizona State University
    • Python Scripting for DevOps: Coursera Project Network
    • Data Structures and Algorithms (I): Tsinghua University

    Frequently Asked Questions about Large Language Models

    Coursera’s courses on Large Language Models offer learners insights and skills related to cutting-edge AI technologies:

    • Fundamental concepts of natural language processing (NLP) and how LLMs are developed and utilized.
    • Techniques for training, fine-tuning, and deploying LLMs such as GPT (Generative Pre-trained Transformer).
    • Understanding the ethical considerations and societal impacts of LLMs.
    • Skills in integrating LLMs with various applications to enhance user interaction and automate tasks.
    • Best practices for managing data privacy and security when using LLMs.
    • Exploration of recent advancements and potential future developments in LLM technology.‎

    Courses on LLMs are accessible to learners with diverse backgrounds:

    • Beginners with an interest in AI and machine learning can start with introductory courses that provide a basic understanding of NLP and LLMs.
    • Those with some technical experience can enhance their knowledge with courses focused on specific aspects of LLM development and deployment.
    • Advanced learners can engage with complex topics related to the cutting-edge applications and ethical implications of LLMs.‎

    Upon completing LLM courses, learners can obtain credentials:

    • Professional certificates that indicate participation in courses focused on LLMs and their applications.
    • Specializations that cover technical, ethical, and practical aspects of LLMs, aimed at broadening understanding and application skills.
    • Certificates that learners may include in their portfolios to reflect their engagement with advanced AI concepts.‎

    Skills in LLMs can open up various career opportunities in the tech industry, particularly in roles focused on AI and machine learning:

    • AI Research Scientist, working on the development of new language models and NLP techniques.
    • Machine Learning Engineer, implementing and scaling LLMs for commercial or research applications.
    • Data Scientist, leveraging LLMs for data analysis and insight generation.
    • NLP Specialist, focusing on improving interaction between humans and computers through language.
    • Ethical AI Advocate, analyzing and addressing the societal impacts of AI technologies like LLMs.‎

    Looking to enhance your team's LLM skills? Coursera provides tailored enterprise solutions for teams ranging of 5-125 employees. Our offerings include advanced analytics, customized learning paths, and collaborative tools. To explore our LLM training options and make a purchase, please visit our Coursera for Teams page.‎

    This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

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