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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
      U

      University of California, Davis

      Computational Social Science

      Skills you'll gain: Network Analysis, Data Wrangling, Natural Language Processing, Web Scraping, Social Sciences, Data Ethics, Databases, Artificial Intelligence, Research, Simulations, Big Data, Systems Thinking, Data Science, Research Methodologies, Machine Learning, Data Collection, Computational Thinking, Economics, Policy, and Social Studies, Graph Theory, Agentic systems

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

      Beginner · Specialization · 3 - 6 Months

    • H

      HEC Paris

      Investment Management in an Evolving and Volatile World by HEC Paris and AXA Investment Managers

      Skills you'll gain: Investment Management, Portfolio Management, Investments, Asset Management, Wealth Management, Financial Market, Finance, Risk Management, Financial Regulation, Performance Analysis, Risk Analysis, Microsoft Excel

      4.6
      Rating, 4.6 out of 5 stars
      ·
      780 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      IBM z/OS Mainframe Practitioner

      Skills you'll gain: Job Control Language (JCL), Mainframe Computing, z/OS, Virtualization, Virtualization and Virtual Machines, Unix, IBM DB2, Operating Systems, IBM Cloud, Data Management, Hardware Architecture, Data Storage, Infrastructure Architecture, System Programming, File Systems, Enterprise Security, Computer Security, System Configuration, Control Panels, Command-Line Interface

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

      Intermediate · Professional Certificate · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      T

      The Hong Kong University of Science and Technology

      English for Effective Business Speaking

      Skills you'll gain: Sales Presentation, Interviewing Skills, Oral Expression, English Language, Business Communication, Presentations, Verbal Communication Skills, Business Writing, Grammar, Persuasive Communication, Communication, Public Speaking, Target Audience, Vocabulary, Professionalism, Communication Strategies

      4.5
      Rating, 4.5 out of 5 stars
      ·
      695 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      N

      New York University

      Introduction to Cyber Attacks

      Skills you'll gain: Security Engineering, Threat Modeling, Distributed Denial-Of-Service (DDoS) Attacks, Cyber Attacks, Cybersecurity, Cyber Risk, Information Systems Security, Network Security, Computer Security, Malware Protection, Encryption, Data Integrity

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

      Beginner · Course · 1 - 4 Weeks

    • Status: Free
      Free
      C

      Coursera Project Network

      Build a free website with WordPress

      Skills you'll gain: WordPress, Content Management, Web Content, Web Design and Development

      4.5
      Rating, 4.5 out of 5 stars
      ·
      1.8K reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Microsoft Azure Data Scientist Associate (DP-100) Exam Prep

      Skills you'll gain: Databricks, Unsupervised Learning, PySpark, Microsoft Azure, Apache Spark, Scikit Learn (Machine Learning Library), MLOps (Machine Learning Operations), PyTorch (Machine Learning Library), Exploratory Data Analysis, Deep Learning, Data Visualization, Applied Machine Learning, Regression Analysis, Data Science, Predictive Modeling, Jupyter, Artificial Intelligence and Machine Learning (AI/ML), Big Data, Classification And Regression Tree (CART), Cloud Computing

      4.2
      Rating, 4.2 out of 5 stars
      ·
      552 reviews

      Intermediate · Professional Certificate · 3 - 6 Months

    • Status: Free
      Free
      P

      Princeton University

      Algorithms, Part I

      Skills you'll gain: Data Structures, Algorithms, Java, Performance Testing, Computer Programming, Theoretical Computer Science, Object Oriented Programming (OOP), Computational Thinking

      4.9
      Rating, 4.9 out of 5 stars
      ·
      12K reviews

      Intermediate · Course · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      D

      Duke University

      MLOps | Machine Learning Operations

      Skills you'll gain: MLOps (Machine Learning Operations), Pandas (Python Package), AWS SageMaker, NumPy, Microsoft Azure, Data Ethics, Application Deployment, Data Manipulation, Exploratory Data Analysis, Containerization, Data Pipelines, CI/CD, Software Testing, Data Import/Export, Amazon Web Services, Feature Engineering, Cloud Solutions, Artificial Intelligence and Machine Learning (AI/ML), Docker (Software), Rust (Programming Language)

      4.2
      Rating, 4.2 out of 5 stars
      ·
      464 reviews

      Advanced · Specialization · 3 - 6 Months

    • U

      Universitat Autònoma de Barcelona

      Digital Systems: From Logic Gates to Processors

      Skills you'll gain: Computer Architecture, Hardware Architecture, Technical Design, System Design and Implementation, Application Specific Integrated Circuits, Embedded Systems, Digital Design, Computer Hardware, Computational Logic, Simulations

      4.3
      Rating, 4.3 out of 5 stars
      ·
      838 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Toronto

      Introduction to GIS Mapping

      Skills you'll gain: ArcGIS, Spatial Data Analysis, Geographic Information Systems, Geospatial Mapping, Data Mapping, Global Positioning Systems, Data Modeling, Data Capture

      4.8
      Rating, 4.8 out of 5 stars
      ·
      2.3K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      TensorFlow: Data and Deployment

      Skills you'll gain: Extract, Transform, Load, Data Pipelines, Image Analysis, Data Import/Export, Tensorflow, iOS Development, Application Deployment, Android Development, Data Processing, Computer Vision, MLOps (Machine Learning Operations), Swift Programming, Feature Engineering, Mobile Development, Data Transformation, JSON, Applied Machine Learning, Data Sharing, Javascript, Deep Learning

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.5K reviews

      Intermediate · Specialization · 3 - 6 Months

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

    • Computational Social Science: University of California, Davis
    • Investment Management in an Evolving and Volatile World by HEC Paris and AXA Investment Managers: HEC Paris
    • IBM z/OS Mainframe Practitioner: IBM
    • English for Effective Business Speaking: The Hong Kong University of Science and Technology
    • Introduction to Cyber Attacks: New York University
    • Build a free website with WordPress: Coursera Project Network
    • Microsoft Azure Data Scientist Associate (DP-100) Exam Prep: Microsoft
    • Algorithms, Part I: Princeton University
    • MLOps | Machine Learning Operations: Duke University
    • Digital Systems: From Logic Gates to Processors: Universitat Autònoma de Barcelona

    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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