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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

    • S

      Sungkyunkwan University

      A Bridge to the World: Korean Language for Beginners Ⅰ

      Skills you'll gain: Language Learning, Oral Comprehension, Language Competency, Oral Expression, Vocabulary, Grammar

      4.8
      Rating, 4.8 out of 5 stars
      ·
      580 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      IBM & Darden Digital Strategy

      Skills you'll gain: Strategic Thinking, Digital Transformation, Business Strategy, Cloud Computing Architecture, Competitive Analysis, Cloud Services, Large Language Modeling, Business Transformation, Cloud Security, Cloud Technologies, Cloud Infrastructure, Big Data, Artificial Intelligence, Cloud Platforms, Data Analysis, Statistical Analysis, Cloud Hosting, OpenAI, Product Lifecycle Management, Business Technologies

      4.7
      Rating, 4.7 out of 5 stars
      ·
      45K reviews

      Beginner · Specialization · 3 - 6 Months

    • G

      Google Cloud

      Introduction to Large Language Models - Français

      Skills you'll gain: Large Language Modeling, Generative AI, Prompt Engineering, Google Cloud Platform, Performance Tuning

      4.1
      Rating, 4.1 out of 5 stars
      ·
      7 reviews

      Beginner · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Introduction to Large Language Models - Português Brasileiro

      Skills you'll gain: Large Language Modeling, Generative AI, ChatGPT, Prompt Engineering, Google Cloud Platform, Artificial Intelligence and Machine Learning (AI/ML)

      Beginner · Course · 1 - 4 Weeks

    • D

      Duke University

      Beginning Llamafile for Local Large Language Models (LLMs)

      Skills you'll gain: Large Language Modeling, Application Programming Interface (API), Restful API, Natural Language Processing, MLOps (Machine Learning Operations), JSON, Servers, Command-Line Interface, Open Source Technology

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of California, Santa Cruz

      Coding for Everyone: C and C++

      Skills you'll gain: C++ (Programming Language), Debugging, C (Programming Language), Object Oriented Programming (OOP), Software Design Patterns, Code Review, Data Structures, Computer Programming, Algorithms, Command-Line Interface, Programming Principles, Program Development, Computer Science, Computational Thinking, Integrated Development Environments, Graph Theory, Artificial Intelligence, Software Technical Review, File Systems, Game Design

      4.5
      Rating, 4.5 out of 5 stars
      ·
      9.4K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Natural Language Processing in TensorFlow

      Skills you'll gain: Tensorflow, Natural Language Processing, Generative AI, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Text Mining, Data Processing

      4.6
      Rating, 4.6 out of 5 stars
      ·
      6.5K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      Key Technologies for Business

      Skills you'll gain: Cloud Computing Architecture, Cloud Services, Large Language Modeling, Cloud Security, Cloud Technologies, Data Literacy, Cloud Infrastructure, Data Mining, Artificial Intelligence, Cloud Platforms, Cloud Hosting, Cloud Engineering, OpenAI, Generative AI, Data Ethics, Artificial Intelligence and Machine Learning (AI/ML), Big Data, Cloud Computing, Data Analysis, Data Science

      4.7
      Rating, 4.7 out of 5 stars
      ·
      101K reviews

      Beginner · Specialization · 3 - 6 Months

    • U

      University of California, Santa Cruz

      Russian History: from Lenin to Putin

      Skills you'll gain: World History, European History, International Relations, Political Sciences, Social Sciences, Culture, Economics, Governance

      4.7
      Rating, 4.7 out of 5 stars
      ·
      800 reviews

      Beginner · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Introduction to Large Language Models - Deutsch

      Skills you'll gain: Prompt Engineering, Large Language Modeling, Generative AI, Application Development, Google Cloud Platform, Performance Tuning

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      G

      Georgia Institute of Technology

      Improve Your English Communication Skills

      Skills you'll gain: Sales Presentation, Presentations, Business Writing, Verbal Communication Skills, Business Correspondence, Public Speaking, Cultural Diversity, Professional Networking, Cultural Sensitivity, English Language, Vocabulary, Communication, Interpersonal Communications, LinkedIn, Writing, Business Communication, Interviewing Skills, Instagram, Social Skills, Concision

      4.7
      Rating, 4.7 out of 5 stars
      ·
      27K reviews

      Beginner · Specialization · 3 - 6 Months

    • U

      University of Houston

      The Bilingual Brain

      Skills you'll gain: Language Competency, Language Learning, Human Learning, Non-Verbal Communication, Neurology, Human Development, Psychology, Child Development, Science and Research, Scientific Methods, Experimentation

      4.6
      Rating, 4.6 out of 5 stars
      ·
      703 reviews

      Mixed · Course · 1 - 3 Months

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

    • A Bridge to the World: Korean Language for Beginners Ⅰ: Sungkyunkwan University
    • IBM & Darden Digital Strategy: IBM
    • Introduction to Large Language Models - Français: Google Cloud
    • Introduction to Large Language Models - Português Brasileiro: Google Cloud
    • Beginning Llamafile for Local Large Language Models (LLMs): Duke University
    • Coding for Everyone: C and C++: University of California, Santa Cruz
    • Natural Language Processing in TensorFlow: DeepLearning.AI
    • Key Technologies for Business: IBM
    • Russian History: from Lenin to Putin: University of California, Santa Cruz
    • Introduction to Large Language Models - Deutsch: Google Cloud

    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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