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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

    • L

      Lund University

      Circular Economy - Sustainable Materials Management

      Skills you'll gain: Environment and Resource Management, Materials Management, Environmental Science, Systems Thinking, Supply Chain Management, Environmental Policy, Product Lifecycle Management, Business Strategies, Industrial Design, Innovation, Stakeholder Engagement, Consumer Behaviour

      4.8
      Rating, 4.8 out of 5 stars
      ·
      2K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      G

      Google

      Suporte em TI do Google

      Skills you'll gain: Systems Administration, IT Security Architecture, Remote Access Systems, IT Infrastructure, Hardening, Network Troubleshooting, OSI Models, Computer Networking, Routing Protocols, Desktop Support, Application Security, Security Strategy, Server Administration, Technical Support, Lightweight Directory Access Protocols, Microsoft Windows, File Systems, Computer Hardware, Software Installation, Help Desk Support

      4.9
      Rating, 4.9 out of 5 stars
      ·
      7.2K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      S

      SAS

      Getting Started with SAS Programming

      Skills you'll gain: SAS (Software), Data Import/Export, Data Validation, Data Access, Data Manipulation, Exploratory Data Analysis, Data Analysis, SQL, Data Presentation, Microsoft Excel, Descriptive Statistics

      4.8
      Rating, 4.8 out of 5 stars
      ·
      3.1K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      E

      EDHEC Business School

      Investment Management with Python and Machine Learning

      Skills you'll gain: Investment Management, Portfolio Management, Text Mining, Asset Management, Network Analysis, Data Visualization Software, Machine Learning Methods, Financial Data, Unstructured Data, Predictive Modeling, Web Scraping, Machine Learning, Advanced Analytics, Financial Statements, Applied Machine Learning, Financial Market, Financial Analysis, Financial Modeling, Return On Investment, Risk Analysis

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.8K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Advanced Machine Learning on Google Cloud

      Skills you'll gain: Natural Language Processing, MLOps (Machine Learning Operations), Tensorflow, Large Language Modeling, Reinforcement Learning, Computer Vision, Google Cloud Platform, Keras (Neural Network Library), Systems Design, Image Analysis, Hybrid Cloud Computing, Applied Machine Learning, Systems Architecture, Performance Tuning, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Artificial Neural Networks, Machine Learning, Machine Learning Algorithms, Distributed Computing

      4.5
      Rating, 4.5 out of 5 stars
      ·
      1.5K reviews

      Advanced · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of California, Santa Cruz

      C++ For C Programmers, Part A

      Skills you'll gain: C++ (Programming Language), Object Oriented Programming (OOP), Algorithms, C (Programming Language), Programming Principles, Computer Programming, Data Structures, Debugging

      4.4
      Rating, 4.4 out of 5 stars
      ·
      2.3K reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Calculus for Machine Learning and Data Science

      Skills you'll gain: Applied Mathematics, Calculus, Numerical Analysis, Mathematical Modeling, Machine Learning, Python Programming, Regression Analysis, Artificial Neural Networks, Deep Learning, Derivatives

      4.8
      Rating, 4.8 out of 5 stars
      ·
      853 reviews

      Intermediate · Course · 1 - 4 Weeks

    • C

      Commonwealth Education Trust

      Writing for Young Readers: Opening the Treasure Chest

      Skills you'll gain: Editing, Proofreading, Storytelling, Writing, Grammar, Content Creation, Peer Review, Digital Publishing, Creativity, Vocabulary

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.3K reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Microsoft Power BI and Power Platform for Productivity

      Skills you'll gain: Extract, Transform, Load, Star Schema, Microsoft Power Platform, Data Analysis Expressions (DAX), Data Storytelling, Microsoft Power Automate/Flow, Dashboard, Microsoft Excel, Power BI, Excel Formulas, Data-Driven Decision-Making, Data Analysis, Microsoft Copilot, Data Presentation, Spreadsheet Software, Data Transformation, Data Literacy, Generative AI, ChatGPT, Productivity Software

      4.4
      Rating, 4.4 out of 5 stars
      ·
      508 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      R

      Rice University

      An Introduction to Interactive Programming in Python (Part 1)

      Skills you'll gain: Event-Driven Programming, Application Development, Interactive Design, Programming Principles, Computer Graphics, Python Programming, Game Design, Computer Programming, Debugging

      4.8
      Rating, 4.8 out of 5 stars
      ·
      3.3K reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of California San Diego

      Mathematical Thinking in Computer Science

      Skills you'll gain: Logical Reasoning, Computational Logic, Deductive Reasoning, Computational Thinking, Theoretical Computer Science, Algorithms, Python Programming, Computer Programming, Computer Science, Program Development

      4.4
      Rating, 4.4 out of 5 stars
      ·
      2.3K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      S

      Stanford University

      Probabilistic Graphical Models 1: Representation

      Skills you'll gain: Bayesian Network, Graph Theory, Probability Distribution, Statistical Modeling, Markov Model, Decision Support Systems, Probability & Statistics, Network Analysis, Applied Machine Learning, Natural Language Processing

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.4K reviews

      Advanced · Course · 1 - 3 Months

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

    • Circular Economy - Sustainable Materials Management: Lund University
    • Suporte em TI do Google: Google
    • Getting Started with SAS Programming: SAS
    • Investment Management with Python and Machine Learning: EDHEC Business School
    • Advanced Machine Learning on Google Cloud: Google Cloud
    • C++ For C Programmers, Part A: University of California, Santa Cruz
    • Calculus for Machine Learning and Data Science: DeepLearning.AI
    • Writing for Young Readers: Opening the Treasure Chest: Commonwealth Education Trust
    • Microsoft Power BI and Power Platform for Productivity: Microsoft
    • An Introduction to Interactive Programming in Python (Part 1): Rice University

    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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