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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

    • E

      Epic Games

      Unreal Engine Fundamentals

      Skills you'll gain: Unreal Engine, Virtual Environment, Version Control, Video Game Development, 3D Modeling, Augmented and Virtual Reality (AR/VR), Game Design, Animation and Game Design, Multimedia, Computer Graphics, Software Installation

      4.7
      Rating, 4.7 out of 5 stars
      ·
      53 reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of Colorado Boulder

      Fundamentals of Software Architecture for Big Data

      Skills you'll gain: Service Level, Software Engineering, Software Architecture, Data Architecture, Distributed Computing, Microservices, Transaction Processing, Software Design, Database Systems, Blockchain, Maintainability, Data Structures, Test Driven Development (TDD), Continuous Integration, System Monitoring

      Build toward a degree

      3.5
      Rating, 3.5 out of 5 stars
      ·
      82 reviews

      Advanced · Course · 1 - 4 Weeks

    • U

      University of Michigan

      Developing AR/VR/MR/XR Apps with WebXR, Unity & Unreal

      Skills you'll gain: Augmented and Virtual Reality (AR/VR), Augmented Reality, Virtual Reality, Unreal Engine, Unity Engine, Application Development, Prototyping, Interaction Design, User Experience Design, Human Computer Interaction, Web Development Tools

      4.6
      Rating, 4.6 out of 5 stars
      ·
      93 reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of Michigan

      Fundamentals of Data Analytics in the Public Sector with R

      Skills you'll gain: Data Visualization, Surveys, Tidyverse (R Package), Data Analysis, Demography, Public Administration, Public Policies, R Programming, Statistical Programming, Data Transformation, Data Cleansing, Data Manipulation

      4.7
      Rating, 4.7 out of 5 stars
      ·
      40 reviews

      Intermediate · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Logistic Regression with NumPy and Python

      Skills you'll gain: Matplotlib, Data Visualization, Seaborn, Exploratory Data Analysis, NumPy, Data Analysis, Jupyter, Machine Learning, Python Programming, Supervised Learning, Regression Analysis, Algorithms

      4.5
      Rating, 4.5 out of 5 stars
      ·
      393 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • U

      University of California San Diego

      Molecular Evolution (Bioinformatics IV)

      Skills you'll gain: Bioinformatics, Statistical Analysis, Molecular Biology, Graph Theory, Taxonomy, Tree Maps, Algorithms

      4.5
      Rating, 4.5 out of 5 stars
      ·
      79 reviews

      Intermediate · Course · 1 - 3 Months

    • U

      University of Colorado System

      Software Design Methods and Tools

      Skills you'll gain: Unified Modeling Language, Unit Testing, Software Design, Technical Design, Software Engineering, Software Development Tools, JUnit, Systems Design, Software Testing, Test Automation, Software Development Methodologies, Dataflow, Ethical Standards And Conduct, Conceptual Design

      4.7
      Rating, 4.7 out of 5 stars
      ·
      159 reviews

      Intermediate · Course · 1 - 3 Months

    • M

      MathWorks

      Predictive Modeling and Machine Learning with MATLAB

      Skills you'll gain: Supervised Learning, Applied Machine Learning, Matlab, Regression Analysis, Predictive Modeling, Classification And Regression Tree (CART), Machine Learning, Predictive Analytics, Feature Engineering, Statistical Modeling, Data Processing, Sampling (Statistics)

      4.8
      Rating, 4.8 out of 5 stars
      ·
      118 reviews

      Beginner · Course · 1 - 4 Weeks

    • L

      LearnQuest

      Introduction to Programming in Swift 5

      Skills you'll gain: Model View Controller, Swift Programming, iOS Development, Data Structures, Object Oriented Programming (OOP), Mobile Development, Programming Principles, Apple Xcode, Computer Programming, Data Modeling

      4.3
      Rating, 4.3 out of 5 stars
      ·
      731 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free
      Free
      U

      University of Colorado Boulder

      Magnetics for Power Electronic Converters

      Skills you'll gain: Power Electronics, Electrical Engineering, Electronic Components, Mathematical Modeling, Technical Design, Thermal Management, Engineering Analysis, Engineering Design Process, Engineering Calculations, Applied Mathematics

      4.8
      Rating, 4.8 out of 5 stars
      ·
      150 reviews

      Intermediate · Course · 1 - 4 Weeks

    • J

      Johns Hopkins University

      Advanced Linear Models for Data Science 1: Least Squares

      Skills you'll gain: Regression Analysis, Statistical Modeling, R Programming, Linear Algebra, Data Science, Mathematical Modeling, Predictive Modeling, Statistical Analysis, Applied Mathematics, Advanced Mathematics

      4.5
      Rating, 4.5 out of 5 stars
      ·
      187 reviews

      Advanced · Course · 1 - 3 Months

    • P

      Peking University

      算法基础

      Skills you'll gain: Algorithms, Programming Principles, Computer Programming, Computational Thinking, Graph Theory, Data Structures, Design Strategies

      4.8
      Rating, 4.8 out of 5 stars
      ·
      321 reviews

      Mixed · Course · 1 - 3 Months

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

    • Unreal Engine Fundamentals : Epic Games
    • Fundamentals of Software Architecture for Big Data: University of Colorado Boulder
    • Developing AR/VR/MR/XR Apps with WebXR, Unity & Unreal: University of Michigan
    • Fundamentals of Data Analytics in the Public Sector with R: University of Michigan
    • Logistic Regression with NumPy and Python: Coursera Project Network
    • Molecular Evolution (Bioinformatics IV): University of California San Diego
    • Software Design Methods and Tools: University of Colorado System
    • Predictive Modeling and Machine Learning with MATLAB: MathWorks
    • Introduction to Programming in Swift 5: LearnQuest
    • Magnetics for Power Electronic Converters: University of Colorado Boulder

    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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