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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
      I

      IBM

      Applied Data Science

      Skills you'll gain: Dashboard, Data Visualization Software, Plotly, Data Visualization, Predictive Modeling, Interactive Data Visualization, Exploratory Data Analysis, Data Wrangling, Data Analysis, Jupyter, Matplotlib, Pandas (Python Package), Seaborn, Data Presentation, Data Import/Export, Web Scraping, Python Programming, Data Structures, Data Science, Data-Driven Decision-Making

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      58K reviews

      Beginner · Specialization · 3 - 6 Months

    • Y

      Yonsei University

      First Step Korean

      Skills you'll gain: Language Competency, Grammar, Vocabulary, Literacy, Culture

      4.9
      Rating, 4.9 out of 5 stars
      ·
      53K reviews

      Beginner · Course · 1 - 3 Months

    • É

      École Polytechnique

      Comprendre la France, Advanced French Language & Culture

      Skills you'll gain: Oral Expression, Oral Comprehension, Writing, Vocabulary, Language Learning, Grammar, Culture, Political Sciences, Cultural Diversity, European History, Art History, World History, Science and Research, Social Sciences

      4.9
      Rating, 4.9 out of 5 stars
      ·
      125 reviews

      Advanced · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Data Engineering Foundations

      Skills you'll gain: Web Scraping, Database Design, SQL, MySQL, Data Transformation, Data Store, Extract, Transform, Load, IBM DB2, Relational Databases, Jupyter, Data Architecture, Data Pipelines, Big Data, Data Warehousing, Data Governance, Data Manipulation, Stored Procedure, Python Programming, Data Structures, Databases

      4.6
      Rating, 4.6 out of 5 stars
      ·
      56K reviews

      Beginner · Specialization · 3 - 6 Months

    • S

      Sungkyunkwan University

      A Bridge to the World: Korean Language for Intermediate1

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

      4.9
      Rating, 4.9 out of 5 stars
      ·
      419 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Regression Models

      Skills you'll gain: Regression Analysis, Statistical Analysis, Statistical Modeling, Data Science, Predictive Modeling, Probability & Statistics, Statistical Inference

      4.4
      Rating, 4.4 out of 5 stars
      ·
      3.4K reviews

      Mixed · Course · 1 - 4 Weeks

    • 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

      Data Science Fundamentals with Python and SQL

      Skills you'll gain: Dashboard, SQL, Descriptive Statistics, Jupyter, Statistical Analysis, Data Analysis, Probability Distribution, Pandas (Python Package), Data Visualization Software, Statistics, Data Visualization, Statistical Hypothesis Testing, Web Scraping, Relational Databases, Stored Procedure, Python Programming, Data Structures, Databases, Data Science, GitHub

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      72K reviews

      Beginner · Specialization · 3 - 6 Months

    • 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

    • Status: Free Trial
      Free Trial
      I

      IBM

      IBM AI Foundations for Business

      Skills you'll gain: Large Language Modeling, Data Literacy, Data Mining, Artificial Intelligence, OpenAI, Generative AI, Data Ethics, Artificial Intelligence and Machine Learning (AI/ML), Big Data, Information Architecture, Strategic Decision-Making, Enterprise Architecture, Cloud Computing, Data Analysis, Data Science, ChatGPT, Deep Learning, Data Strategy, Business Strategy, Business Process Automation

      4.7
      Rating, 4.7 out of 5 stars
      ·
      94K reviews

      Beginner · Specialization · 1 - 3 Months

    • 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

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

    • Applied Data Science: IBM
    • First Step Korean: Yonsei University
    • Comprendre la France, Advanced French Language & Culture : École Polytechnique
    • Data Engineering Foundations: IBM
    • A Bridge to the World: Korean Language for Intermediate1 : Sungkyunkwan University
    • Regression Models: Johns Hopkins University
    • A Bridge to the World: Korean Language for Beginners Ⅰ: Sungkyunkwan University
    • Data Science Fundamentals with Python and SQL: IBM
    • Key Technologies for Business: IBM
    • Russian History: from Lenin to Putin: University of California, Santa Cruz

    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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