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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
      G

      Google

      Regression Analysis: Simplify Complex Data Relationships

      Skills you'll gain: Regression Analysis, Statistical Hypothesis Testing, Statistical Analysis, Advanced Analytics, Correlation Analysis, Data Analysis, Predictive Modeling, Statistical Modeling, Supervised Learning, Variance Analysis, Machine Learning Methods, Python Programming

      4.7
      Rating, 4.7 out of 5 stars
      ·
      530 reviews

      Advanced · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      M

      Meta

      Introduction to Databases

      Skills you'll gain: Database Design, Database Management Systems, SQL, Relational Databases, Databases, MySQL, Data Integrity, Query Languages, Data Manipulation

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.3K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      M

      Macquarie University

      Data Visualization in Excel

      Skills you'll gain: Pivot Tables And Charts, Data Storytelling, Data Visualization Software, Interactive Data Visualization, Spreadsheet Software, Dashboard, Microsoft Excel, Excel Macros, Infographics, Data Analysis, Data Manipulation, Forecasting

      4.9
      Rating, 4.9 out of 5 stars
      ·
      1.2K reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      W

      Wesleyan University

      Data Analysis and Interpretation

      Skills you'll gain: Regression Analysis, Data Storytelling, Classification And Regression Tree (CART), Statistical Hypothesis Testing, Descriptive Statistics, Data Presentation, Statistical Analysis, Statistical Software, Correlation Analysis, Exploratory Data Analysis, Data Manipulation, Decision Tree Learning, Data Management, Data Analysis, Predictive Modeling, Data Visualization, Data Literacy, Random Forest Algorithm, SAS (Software), Statistical Modeling

      4.4
      Rating, 4.4 out of 5 stars
      ·
      1.4K reviews

      Beginner · Specialization · 3 - 6 Months

    • D

      Duke University

      Image and Video Processing: From Mars to Hollywood with a Stop at the Hospital

      Skills you'll gain: Image Analysis, Computer Vision, Digital Communications, Computer Graphics, Visualization (Computer Graphics), Medical Imaging, Applied Mathematics, Spatial Analysis, Advanced Mathematics, Linear Algebra, Matlab, Mathematical Modeling, Algorithms, Probability Distribution

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.1K reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Database Design and Basic SQL in PostgreSQL

      Skills you'll gain: Database Design, SQL, Relational Databases, PostgreSQL, Database Theory, Database Management, Data Modeling, Databases, Data Integrity

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1K reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of Michigan

      The Finite Element Method for Problems in Physics

      Skills you'll gain: Finite Element Methods, Differential Equations, Engineering Analysis, Numerical Analysis, Mathematical Modeling, Mathematical Theory & Analysis, Advanced Mathematics, Applied Mathematics, Linear Algebra, C++ (Programming Language), Calculus, Open Source Technology

      4.6
      Rating, 4.6 out of 5 stars
      ·
      551 reviews

      Intermediate · Course · 3 - 6 Months

    • E

      Eindhoven University of Technology

      Improving your statistical inferences

      Skills you'll gain: Statistical Inference, Scientific Methods, Statistical Hypothesis Testing, Quantitative Research, Bayesian Statistics, Statistical Analysis, Statistical Methods, Probability & Statistics, Sample Size Determination, Research, Data Collection, R Programming, Data Sharing, Probability Distribution

      4.9
      Rating, 4.9 out of 5 stars
      ·
      796 reviews

      Intermediate · Course · 1 - 3 Months

    • N

      NVIDIA

      Introduction to Networking

      Skills you'll gain: OSI Models, TCP/IP, Data Centers, Network Protocols, Network Infrastructure, Local Area Networks, General Networking, Network Architecture, Computer Networking, Network Switches, System Requirements

      4.6
      Rating, 4.6 out of 5 stars
      ·
      544 reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of London

      Teaching EFL/ESL Reading: A Task Based Approach

      Skills you'll gain: Literacy, English Language, Language Learning, Vocabulary, Grammar, Student-Centred Learning

      4.7
      Rating, 4.7 out of 5 stars
      ·
      619 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Alberta

      Software Architecture

      Skills you'll gain: Software Architecture, Unified Modeling Language, Systems Architecture, Software Design, Software Design Documents, Software Visualization, Solution Architecture, Software Systems, Software Development, Software Documentation, Software Design Patterns, Enterprise Architecture, Maintainability, Scalability

      4.5
      Rating, 4.5 out of 5 stars
      ·
      923 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Reproducible Research

      Skills you'll gain: Rmarkdown, Knitr, Data Sharing, Statistical Reporting, Data Analysis, Statistical Analysis, Data Validation, R Programming, Verification And Validation, Technical Documentation

      4.6
      Rating, 4.6 out of 5 stars
      ·
      4.2K reviews

      Mixed · Course · 1 - 4 Weeks

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

    • Regression Analysis: Simplify Complex Data Relationships: Google
    • Introduction to Databases: Meta
    • Data Visualization in Excel: Macquarie University
    • Data Analysis and Interpretation: Wesleyan University
    • Image and Video Processing: From Mars to Hollywood with a Stop at the Hospital: Duke University
    • Database Design and Basic SQL in PostgreSQL: University of Michigan
    • The Finite Element Method for Problems in Physics: University of Michigan
    • Improving your statistical inferences: Eindhoven University of Technology
    • Introduction to Networking: NVIDIA
    • Teaching EFL/ESL Reading: A Task Based Approach: University of London

    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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