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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

    • É

      École Polytechnique Fédérale de Lausanne

      Big Data Analysis with Scala and Spark (Scala 2 version)

      Skills you'll gain: Apache Spark, Scala Programming, Apache Hadoop, Big Data, Data Manipulation, Distributed Computing, Data Processing, Performance Tuning, Programming Principles

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of California San Diego

      Deploying Machine Learning Models

      Skills you'll gain: Data Manipulation, Applied Machine Learning, Flask (Web Framework), Application Deployment, Django (Web Framework), Web Applications, Data Processing, Predictive Modeling, Machine Learning, Regression Analysis

      3.5
      Rating, 3.5 out of 5 stars
      ·
      51 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      P

      Packt

      Learn Automation Testing with Java and Selenium Webdriver

      Skills you'll gain: Selenium (Software), JUnit, Eclipse (Software), Java Programming, Java, Test Automation, Integrated Development Environments, Object Oriented Programming (OOP), Software Testing, Object Oriented Design, Browser Compatibility, Test Data, Test Tools, Test Case, Computer Programming, Software Quality Assurance, Regression Testing, Development Environment, Programming Principles, HTML and CSS

      4.5
      Rating, 4.5 out of 5 stars
      ·
      16 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Dense Gases, Liquids and Solids

      Skills you'll gain: Chemical Engineering, Simulations, Engineering Analysis, Engineering Calculations, Physics, Estimation, Mathematical Modeling, Calculus

      4.5
      Rating, 4.5 out of 5 stars
      ·
      114 reviews

      Advanced · Course · 1 - 4 Weeks

    • Y

      Yonsei University

      Hands-on Text Mining and Analytics

      Skills you'll gain: Text Mining, Natural Language Processing, Big Data, Data Cleansing, Data Analysis, Java, Unsupervised Learning, Machine Learning Methods, Supervised Learning

      3.9
      Rating, 3.9 out of 5 stars
      ·
      40 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      C

      Codio

      Getting Started with Generative AI APIs

      Skills you'll gain: OpenAI, Large Language Modeling, Generative AI, ChatGPT, Prompt Engineering, Applied Machine Learning, Application Programming Interface (API), Natural Language Processing, Text Mining, Artificial Intelligence and Machine Learning (AI/ML), Performance Tuning

      3.7
      Rating, 3.7 out of 5 stars
      ·
      23 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      M

      MathWorks

      Machine Learning for Computer Vision

      Skills you'll gain: Computer Vision, Image Analysis, Matlab, Applied Machine Learning, Machine Learning, Visualization (Computer Graphics), Data Validation, Performance Testing

      4.8
      Rating, 4.8 out of 5 stars
      ·
      23 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Cloud Computing Essentials with Azure Management

      Skills you'll gain: Cloud Management, Microsoft Azure, Cloud Computing Architecture, Cloud Computing, Infrastructure As A Service (IaaS), Cloud Infrastructure, Software As A Service, Infrastructure as Code (IaC), Cloud Security, System Monitoring, Scalability

      4.6
      Rating, 4.6 out of 5 stars
      ·
      14 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      B

      Board Infinity

      SAFe Fundamentals

      Skills you'll gain: Scaled Agile Framework, Lean Methodologies, Backlogs, Agile Methodology, Sprint Planning, Agile Product Development, Process Improvement, Cross-Functional Collaboration, Continuous Improvement Process, Performance Measurement, Quality Assurance, Data-Driven Decision-Making, Team Management, Agile Project Management, Sprint Retrospectives, Risk Management, Continuous Integration, Kanban Principles, Release Management, Product Demonstration

      3.7
      Rating, 3.7 out of 5 stars
      ·
      116 reviews

      Beginner · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Manage Resources in Azure

      Skills you'll gain: Microsoft Azure, Cloud Management, Application Deployment, Cloud Computing, Windows PowerShell, Cloud Services, Infrastructure As A Service (IaaS), Software As A Service, Virtual Machines, Platform As A Service (PaaS), Command-Line Interface, Verification And Validation

      4.9
      Rating, 4.9 out of 5 stars
      ·
      18 reviews

      Intermediate · Course · 1 - 3 Months

    • P

      Pontificia Universidad Católica de Chile

      Python para Ciencia de Datos

      Skills you'll gain: Descriptive Analytics, Data-Driven Decision-Making, Data Analysis, Data Visualization Software, Predictive Analytics, Business Analytics, Database Management, Data Science, Relational Databases, Forecasting, Python Programming

      3.8
      Rating, 3.8 out of 5 stars
      ·
      67 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Hands-on Foundations for Data Science and Machine Learning with Google Cloud Labs

      Skills you'll gain: Data Warehousing, Google Cloud Platform, Big Data, Apache Spark, Database Management, Data Integration, Dataflow, SQL, Data Pipelines, Metadata Management, Data Management, Real Time Data, Tensorflow, Data Science, Command-Line Interface, Applied Machine Learning, Cloud-Based Integration, Query Languages, Power BI, Data Loss Prevention

      4.3
      Rating, 4.3 out of 5 stars
      ·
      125 reviews

      Intermediate · Specialization · 1 - 4 Weeks

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

    • Big Data Analysis with Scala and Spark (Scala 2 version): École Polytechnique Fédérale de Lausanne
    • Deploying Machine Learning Models: University of California San Diego
    • Learn Automation Testing with Java and Selenium Webdriver: Packt
    • Dense Gases, Liquids and Solids: University of Colorado Boulder
    • Hands-on Text Mining and Analytics: Yonsei University
    • Getting Started with Generative AI APIs: Codio
    • Machine Learning for Computer Vision: MathWorks
    • Cloud Computing Essentials with Azure Management: Microsoft
    • SAFe Fundamentals: Board Infinity
    • Manage Resources in Azure: Microsoft

    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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