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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
      D

      Duke University

      AI Product Management

      Skills you'll gain: Deep Learning, MLOps (Machine Learning Operations), Data Ethics, Data Management, Unsupervised Learning, Human Computer Interaction, User Experience Design, Classification And Regression Tree (CART), Data Quality, Human Centered Design, Machine Learning, Human Factors, Regression Analysis, Technical Management, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Artificial Neural Networks, Decision Tree Learning, Data Processing, Personally Identifiable Information

      4.7
      Rating, 4.7 out of 5 stars
      ·
      789 reviews

      Beginner · Specialization · 3 - 6 Months

    • E

      Erasmus University Rotterdam

      Innovation Management

      Skills you'll gain: Innovation, Creativity, Brainstorming, Process Development, Design Thinking, Organizational Leadership, Product Development, Diversity and Inclusion, Product Lifecycle Management, Team Management, Business Strategy, Lean Methodologies

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.2K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Applied Data Science with R

      Skills you'll gain: Data Storytelling, Interactive Data Visualization, Data Visualization Software, Shiny (R Package), Data Wrangling, Dashboard, Exploratory Data Analysis, Relational Databases, Data Analysis, Ggplot2, Database Design, Data Presentation, SQL, Plot (Graphics), Leaflet (Software), Data Transformation, Database Management, Data Manipulation, Web Scraping, R Programming

      4.5
      Rating, 4.5 out of 5 stars
      ·
      1.2K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      A

      Arizona State University

      Teach English Now! Capstone Project 2

      Skills you'll gain: Oral Comprehension, Literacy, Education Software and Technology, Grammar, English Language, Language Learning, Organizational Skills

      4.9
      Rating, 4.9 out of 5 stars
      ·
      1.1K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Pennsylvania

      AI Fundamentals for Non-Data Scientists

      Skills you'll gain: Generative AI, Big Data, Machine Learning, Customer Data Management, Tensorflow, Artificial Intelligence, Deep Learning, Algorithms, Process Optimization, Data Analysis, Artificial Neural Networks, Natural Language Processing

      4.8
      Rating, 4.8 out of 5 stars
      ·
      739 reviews

      Mixed · Course · 1 - 3 Months

    • U

      University of Illinois Urbana-Champaign

      Instructional Design Foundations and Applications

      Skills you'll gain: Instructional and Curriculum Design, Needs Assessment, Instructional Design, Learning Theory, Diversity and Inclusion, Education and Training, Talent Management, Systems Analysis, Job Analysis, Analysis

      4
      Rating, 4 out of 5 stars
      ·
      773 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of California, Irvine

      Adjectives and Adjective Clauses

      Skills you'll gain: Grammar, Vocabulary, English Language, Oral Comprehension

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.2K reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      N

      Northwestern University

      Modern Robotics: Mechanics, Planning, and Control

      Skills you'll gain: Machine Controls, Control Systems, Mathematical Modeling, Simulation and Simulation Software, Automation Engineering, Engineering Calculations, Engineering, Mechanics, Mechanical Engineering, Torque (Physics), Artificial Intelligence, Applied Mathematics, Engineering Analysis, Automation, Computational Logic, Virtual Environment, Robotic Process Automation, Graph Theory, Matlab, Numerical Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.2K reviews

      Intermediate · Specialization · 3 - 6 Months

    • U

      Universidad Nacional Autónoma de México

      Aprender

      Skills you'll gain: Learning Strategies, Human Learning, Quick Learning, Self-Motivation, Mental Concentration, Willingness To Learn, Cognitive flexibility, Critical Thinking, Productivity, Personal Development, Self-Awareness

      4.9
      Rating, 4.9 out of 5 stars
      ·
      5.4K reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Minnesota

      Software Testing and Automation

      Skills you'll gain: Open Web Application Security Project (OWASP), Cucumber (Software), Software Testing, Selenium (Software), Gherkin (Scripting Language), JUnit, Verification And Validation, Test Automation, Unit Testing, Security Testing, Regression Testing, Test Case, Testability, Behavior-Driven Development, Code Coverage, Performance Testing, Development Testing, Test Planning, Acceptance Testing, Test Tools

      4.3
      Rating, 4.3 out of 5 stars
      ·
      949 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of Toronto

      Introduction to Self-Driving Cars

      Skills you'll gain: Control Systems, Embedded Software, Automation, Simulation and Simulation Software, Software Architecture, Safety Assurance, Systems Architecture, Verification And Validation, Mathematical Modeling, Computer Hardware

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.9K reviews

      Advanced · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      É

      École Polytechnique Fédérale de Lausanne

      Functional Programming Principles in Scala

      Skills you'll gain: Scala Programming, Programming Principles, Object Oriented Programming (OOP), Functional Design, Computer Programming, Data Structures, Integrated Development Environments, Javascript, Algorithms

      4.8
      Rating, 4.8 out of 5 stars
      ·
      8.3K reviews

      Intermediate · Course · 1 - 3 Months

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

    • AI Product Management: Duke University
    • Innovation Management: Erasmus University Rotterdam
    • Applied Data Science with R: IBM
    • Teach English Now! Capstone Project 2: Arizona State University
    • AI Fundamentals for Non-Data Scientists: University of Pennsylvania
    • Instructional Design Foundations and Applications: University of Illinois Urbana-Champaign
    • Adjectives and Adjective Clauses: University of California, Irvine
    • Modern Robotics: Mechanics, Planning, and Control: Northwestern University
    • Aprender: Universidad Nacional Autónoma de México
    • Software Testing and Automation: University of Minnesota

    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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