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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: New
      New
      Status: Free Trial
      Free Trial
      M

      Microsoft

      Python Programming Fundamentals

      Skills you'll gain: Version Control, GitHub, Debugging, Git (Version Control System), Unit Testing, Data Structures, Python Programming, Software Testing, Programming Principles, Scripting, Computer Programming, Web Development, Algorithms, Program Development, Development Environment, Scripting Languages, Integrated Development Environments, Object Oriented Programming (OOP), Jupyter

      4.5
      Rating, 4.5 out of 5 stars
      ·
      205 reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of Cape Town

      Writing your World: Finding yourself in the academic space

      Skills you'll gain: Writing, Culture, Liberal Arts, Editing, Cultural Diversity, Peer Review, Proofreading, Research, Sociology, Style Guides, Creativity, Student Engagement, Learning Strategies

      4.7
      Rating, 4.7 out of 5 stars
      ·
      257 reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Illinois Urbana-Champaign

      Sustainable Food Production Through Livestock Health Management

      Skills you'll gain: Infectious Diseases, Epidemiology, Nutrition and Diet, Food Safety and Sanitation, Food Services, Public Health, Biology, Microbiology, Caregiving, Environment, Economics

      4.8
      Rating, 4.8 out of 5 stars
      ·
      611 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Alberta

      Prediction and Control with Function Approximation

      Skills you'll gain: Reinforcement Learning, Deep Learning, Machine Learning Algorithms, Machine Learning, Supervised Learning, Artificial Neural Networks, Pseudocode, Linear Algebra, Probability Distribution

      4.8
      Rating, 4.8 out of 5 stars
      ·
      836 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      S

      SkillUp EdTech

      Project Management Foundations, Initiation, and Planning

      Skills you'll gain: Earned Value Management, Team Motivation, Stakeholder Engagement, Project Management Institute (PMI) Methodology, Project Planning, Stakeholder Management, Project Controls, Team Leadership, Project Management, Project Management Life Cycle, Project Scoping, Project Documentation, Project Schedules, Meeting Facilitation, Agile Project Management, Quality Management, Work Breakdown Structure, Risk Management, Cost Management, Scope Management

      4.7
      Rating, 4.7 out of 5 stars
      ·
      482 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of California, Irvine

      TOEFL Speaking and Writing Sections Skills Mastery

      Skills you'll gain: English Language, Oral Comprehension, Language Competency

      4.4
      Rating, 4.4 out of 5 stars
      ·
      178 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      C

      Corporate Finance Institute

      BI Essentials for Finance Analysts (Power BI Edition)

      Skills you'll gain: Data Analysis Expressions (DAX), Power BI, Snowflake Schema, Data Modeling, SQL, Business Intelligence, Dashboard, Microsoft Excel, Excel Formulas, Pivot Tables And Charts, Data Import/Export, Business Reporting, Databases, Interactive Data Visualization, Data Storytelling, Financial Statements, Data Analysis Software, Data Manipulation, Data Analysis, Relational Databases

      4.8
      Rating, 4.8 out of 5 stars
      ·
      187 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      E

      ESSEC Business School

      The Fundamentals of Revenue Management: The Cornerstone of Revenue Strategy

      Skills you'll gain: Revenue Management, Forecasting, Budgeting, Hospitality, Financial Forecasting, Hotel Operations, Strategic Marketing, Target Market, Market Dynamics, Consumer Behaviour, Competitive Analysis, Data-Driven Decision-Making

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

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Advanced Computer Vision with TensorFlow

      Skills you'll gain: Computer Vision, Tensorflow, Image Analysis, Applied Machine Learning, Deep Learning, Feature Engineering, Artificial Neural Networks, Visualization (Computer Graphics), Data Processing, Network Architecture

      4.7
      Rating, 4.7 out of 5 stars
      ·
      522 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Data Visualization & Dashboarding with R

      Skills you'll gain: Rmarkdown, Shiny (R Package), Ggplot2, Tidyverse (R Package), Spatial Data Analysis, Data Visualization, Statistical Visualization, Scatter Plots, Plot (Graphics), Dashboard, Data Import/Export, Interactive Data Visualization, R Programming, Data Visualization Software, Data Literacy, Data Manipulation, Plotly, Storyboarding, Data Storytelling, Heat Maps

      4.8
      Rating, 4.8 out of 5 stars
      ·
      429 reviews

      Beginner · Specialization · 3 - 6 Months

    • P

      Pohang University of Science and Technology(POSTECH)

      Introduction and Programming with IoT Boards

      Skills you'll gain: Internet Of Things, Wireless Networks, General Networking, Emerging Technologies, Electronic Hardware, Embedded Systems, Information Technology Architecture, Infrastructure Architecture, Software Architecture, Computer Hardware, Computer Programming Tools, Python Programming

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

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      É

      École Polytechnique Fédérale de Lausanne

      Big Data Analysis with Scala and Spark

      Skills you'll gain: Apache Spark, Apache Hadoop, Scala Programming, Distributed Computing, Big Data, Data Manipulation, Data Processing, Performance Tuning, Functional Design, Data Analysis

      4.6
      Rating, 4.6 out of 5 stars
      ·
      2.6K reviews

      Intermediate · Course · 1 - 4 Weeks

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

    • Python Programming Fundamentals: Microsoft
    • Writing your World: Finding yourself in the academic space : University of Cape Town
    • Sustainable Food Production Through Livestock Health Management: University of Illinois Urbana-Champaign
    • Prediction and Control with Function Approximation: University of Alberta
    • Project Management Foundations, Initiation, and Planning: SkillUp EdTech
    • TOEFL Speaking and Writing Sections Skills Mastery: University of California, Irvine
    • BI Essentials for Finance Analysts (Power BI Edition): Corporate Finance Institute
    • The Fundamentals of Revenue Management: The Cornerstone of Revenue Strategy: ESSEC Business School
    • Advanced Computer Vision with TensorFlow: DeepLearning.AI
    • Data Visualization & Dashboarding with R: Johns Hopkins 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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