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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

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Importing Data in the Tidyverse

      Skills you'll gain: Data Import/Export, Web Scraping, Tidyverse (R Package), Data Integration, Data Manipulation, Data Transformation, Relational Databases, Google Sheets, Unstructured Data, R Programming, Extensible Markup Language (XML), Spreadsheet Software, Databases, SQL, Data Storage, Application Programming Interface (API)

      4.7
      Rating, 4.7 out of 5 stars
      ·
      49 reviews

      Beginner · Course · 1 - 3 Months

    • N

      Nanjing University

      计算机系统基础(一) :程序的表示、转换与链接

      Skills you'll gain: C (Programming Language), Computer Systems, Data Structures, System Programming, Programming Principles, Computer Architecture, Computer Programming, Operating Systems, Data Storage, Computer Hardware, Application Security, Software Architecture

      4.7
      Rating, 4.7 out of 5 stars
      ·
      59 reviews

      Mixed · Course · 1 - 3 Months

    • U

      University of Illinois Urbana-Champaign

      Innovation: From Creativity to Entrepreneurship Capstone

      Skills you'll gain: Creativity, Innovation, Business Modeling, Strategic Thinking, Entrepreneurship, Business Development, Business Strategy, New Business Development, Business Analysis, Collaboration, Analysis, Financial Analysis, Performance Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      84 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      AI Workflow: Machine Learning, Visual Recognition and NLP

      Skills you'll gain: Tensorflow, Supervised Learning, Artificial Neural Networks, Regression Analysis, Classification And Regression Tree (CART), Applied Machine Learning, Machine Learning Algorithms, Deep Learning, IBM Cloud, Image Analysis, Machine Learning, Random Forest Algorithm, Artificial Intelligence and Machine Learning (AI/ML), Predictive Modeling, Decision Tree Learning, Natural Language Processing, Feature Engineering, Scikit Learn (Machine Learning Library), Business Metrics, Computer Vision

      4.4
      Rating, 4.4 out of 5 stars
      ·
      86 reviews

      Advanced · Course · 1 - 4 Weeks

    • I

      IBM

      IBM z/OS Rexx Programming

      Skills you'll gain: Debugging, z/OS, Job Control Language (JCL), Mainframe Computing, Scripting Languages, Programming Principles, Development Environment, Program Development, Data Structures, Command-Line Interface, Automation, Data Management, Application Development

      4.4
      Rating, 4.4 out of 5 stars
      ·
      23 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      Universitat Autònoma de Barcelona

      Motores gráficos en videojuegos: game engine

      Skills you'll gain: Video Game Development, Computer Graphics, Visualization (Computer Graphics), Microsoft Visual Studio, Artificial Intelligence, Virtual Environment, Application Development, C++ (Programming Language), Computer Graphic Techniques, Animations, User Interface (UI), Middleware

      3.9
      Rating, 3.9 out of 5 stars
      ·
      105 reviews

      Mixed · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Python for Beginners: Data Structures

      Skills you'll gain: Data Structures, Plot (Graphics), Programming Principles, Python Programming, Data Storage

      4.4
      Rating, 4.4 out of 5 stars
      ·
      27 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • C

      Coursera Project Network

      Scikit-Learn For Machine Learning Classification Problems

      Skills you'll gain: Scikit Learn (Machine Learning Library), Applied Machine Learning, Machine Learning Algorithms, Classification And Regression Tree (CART), Supervised Learning, Random Forest Algorithm, Unsupervised Learning

      4.6
      Rating, 4.6 out of 5 stars
      ·
      15 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free
      Free
      C

      Coursera Project Network

      Agile Project: Product Prototype Touchpoint Analysis in Miro

      Skills you'll gain: Wireframing, Product Roadmaps, Customer experience strategy (CX), Agile Methodology, Agile Project Management, Persona Development, Prototyping, User Experience, User Story, Product Development, User Research

      4.6
      Rating, 4.6 out of 5 stars
      ·
      89 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      U

      University of Colorado System

      Grant Proposal Plans, Sections, and Resubmission

      Skills you'll gain: Grant Writing, Proposal Writing, Proposal Development, Medical Science and Research, Research Design, Research, Peer Review, Budgeting, Constructive Feedback, Mentorship

      4.9
      Rating, 4.9 out of 5 stars
      ·
      20 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      S

      Scrimba

      Open-source AI Models

      Skills you'll gain: Open Source Technology, JavaScript Frameworks, Generative AI, Application Frameworks, Data Ethics, Web Applications, Artificial Intelligence, Natural Language Processing

      4.9
      Rating, 4.9 out of 5 stars
      ·
      23 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Data Transformation in the Cloud

      Skills you'll gain: Data Pipelines, Data Cleansing, Data Governance, Data Transformation, Cloud Security, Data Visualization, Extract, Transform, Load, Data Integration, Data Processing, Data Management, Data Migration, Data Collection, Cloud Computing, Cloud Storage, Data Analysis, SQL

      4.5
      Rating, 4.5 out of 5 stars
      ·
      23 reviews

      Beginner · Course · 1 - 4 Weeks

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

    • Importing Data in the Tidyverse: Johns Hopkins University
    • 计算机系统基础(一) :程序的表示、转换与链接: Nanjing University
    • Innovation: From Creativity to Entrepreneurship Capstone: University of Illinois Urbana-Champaign
    • AI Workflow: Machine Learning, Visual Recognition and NLP: IBM
    • IBM z/OS Rexx Programming: IBM
    • Motores gráficos en videojuegos: game engine: Universitat Autònoma de Barcelona
    • Python for Beginners: Data Structures: Coursera Project Network
    • Scikit-Learn For Machine Learning Classification Problems: Coursera Project Network
    • Agile Project: Product Prototype Touchpoint Analysis in Miro: Coursera Project Network
    • Grant Proposal Plans, Sections, and Resubmission: University of Colorado System

    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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