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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

    • D

      DeepLearning.AI

      AI Python for Beginners

      Skills you'll gain: Large Language Modeling, Prompt Engineering, Artificial Intelligence, Jupyter, Python Programming, Data Analysis, ChatGPT, Application Development, Generative AI, Scripting, Automation, Computer Programming, Application Programming Interface (API)

      4.8
      Rating, 4.8 out of 5 stars
      ·
      118 reviews

      Beginner · Course · 1 - 4 Weeks

    • S

      Shanghai Jiao Tong University

      Training and Practicing in English Public Speaking

      Skills you'll gain: Public Speaking, Active Listening, English Language, Verbal Communication Skills, Communication, Critical Thinking, Creative Thinking, Stress Management, Adaptability, Self-Awareness

      4.6
      Rating, 4.6 out of 5 stars
      ·
      286 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Foundations of Data Structures and Algorithms

      Skills you'll gain: Theoretical Computer Science, Algorithms, Data Structures, Graph Theory, Operations Research, Public Key Cryptography Standards (PKCS), Cryptography, Computational Thinking, Design Strategies, Pseudocode, Programming Principles, Data Encryption Standard, Applied Mathematics, Computer Science, Encryption, Network Model, Linear Algebra, Combinatorics, Analysis, Tree Maps

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      817 reviews

      Advanced · Specialization · 1 - 3 Months

    • I

      IBM

      Introduction to Computer Vision and Image Processing

      Skills you'll gain: Computer Vision, Image Analysis, Artificial Neural Networks, IBM Cloud, Keras (Neural Network Library), Cloud Applications, Deep Learning, Tensorflow, Visualization (Computer Graphics), PyTorch (Machine Learning Library), Artificial Intelligence and Machine Learning (AI/ML), Computer Programming, Application Deployment, Augmented Reality, Machine Learning, Data Processing

      4.3
      Rating, 4.3 out of 5 stars
      ·
      1.4K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Getting and Cleaning Data

      Skills you'll gain: Data Manipulation, Data Cleansing, Data Wrangling, Data Integration, Data Quality, Data Transformation, Data Import/Export, Data Collection, Data Management, Web Scraping, Data Access, R Programming, Exploratory Data Analysis, MySQL, File Management, SQL, Application Programming Interface (API)

      4.5
      Rating, 4.5 out of 5 stars
      ·
      8.1K reviews

      Mixed · Course · 1 - 4 Weeks

    • U

      Universidad Nacional Autónoma de México

      Aprender

      Skills you'll gain: Learning Strategies, Human Learning, Learning Theory, Quick Learning, Self-Motivation, Lifelong Learning, Literacy, Mental Concentration, Willingness To Learn, Cognitive flexibility, Critical Thinking, Productivity, Personal Development, Self-Awareness, Growth Mindedness, Goal Setting

      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 Illinois Urbana-Champaign

      Business Analytics

      Skills you'll gain: Data Storytelling, Marketing Analytics, Data Presentation, Data Visualization, Extract, Transform, Load, Business Analytics, Data Collection, Data Quality, Exploratory Data Analysis, Data Visualization Software, Regression Analysis, Network Analysis, Internal Controls, Business Intelligence, Data-Driven Decision-Making, Data Processing, R Programming, Robotic Process Automation, Data Manipulation, Analytics

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.1K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      R

      Rice University

      Introduction to Scripting in Python

      Skills you'll gain: Data Visualization Software, Plot (Graphics), Package and Software Management, Python Programming, Programming Principles, Data Processing, Data Mapping, Data Manipulation, Software Installation, Development Environment, Data Structures, File Management, Scripting, Data Storage, Data Import/Export, Program Development, Data Integration, Data Analysis, Computer Programming, Integrated Development Environments

      4.7
      Rating, 4.7 out of 5 stars
      ·
      4.3K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of California, Irvine

      Simple Past Tense

      Skills you'll gain: Grammar, Vocabulary, English Language, Language Competency

      4.9
      Rating, 4.9 out of 5 stars
      ·
      919 reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Washington

      Programming Languages, Part A

      Skills you'll gain: Software Installation, Programming Principles, Other Programming Languages, Functional Design, Ruby (Programming Language), Software Design Patterns, Computational Thinking

      4.9
      Rating, 4.9 out of 5 stars
      ·
      1.9K reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Modernizing Data Lakes and Data Warehouses with Google Cloud

      Skills you'll gain: Data Lakes, Data Warehousing, Cloud Engineering, Google Cloud Platform, Data Infrastructure, Cloud Storage, Data Pipelines, Big Data, Data Processing, Data Transformation, SQL, Scalability

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

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Renewable Energy

      Skills you'll gain: Feasibility Studies, Plant Operations and Management, Project Finance, Electric Power Systems, Electrical Power, Energy and Utilities, Engineering, Facility Operations, Basic Electrical Systems, Thermal Management, Systems Of Measurement, Financial Analysis, Electrical Systems, Market Dynamics, Project Management Life Cycle, Financial Forecasting, Construction Management, Emerging Technologies, Environmental Issue, Market Trend

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

      Beginner · Specialization · 3 - 6 Months

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

    • AI Python for Beginners: DeepLearning.AI
    • Training and Practicing in English Public Speaking: Shanghai Jiao Tong University
    • Foundations of Data Structures and Algorithms: University of Colorado Boulder
    • Introduction to Computer Vision and Image Processing: IBM
    • Getting and Cleaning Data: Johns Hopkins University
    • Aprender: Universidad Nacional Autónoma de México
    • Business Analytics: University of Illinois Urbana-Champaign
    • Introduction to Scripting in Python: Rice University
    • Simple Past Tense: University of California, Irvine
    • Programming Languages, Part A: University of Washington

    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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