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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 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

    • I

      IIMA - IIM Ahmedabad

      Pre-MBA Statistics

      Skills you'll gain: Sampling (Statistics), Probability, Probability & Statistics, Statistical Hypothesis Testing, Statistics, Data Literacy, Statistical Inference, Estimation, Statistical Analysis, Descriptive Statistics, Data Analysis

      4.6
      Rating, 4.6 out of 5 stars
      ·
      281 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      Icahn School of Medicine at Mount Sinai

      Systems Biology and Biotechnology

      Skills you'll gain: Matlab, Bioinformatics, Quantitative Research, Unsupervised Learning, Data Synthesis, Mathematical Modeling, Molecular Biology, Data Analysis, Pharmacology, Science and Research, Network Analysis, Analytical Skills, Scientific Methods, Differential Equations, Computational Logic, Experimentation, Biochemistry, Laboratory Experience, Analysis, Biology

      4.4
      Rating, 4.4 out of 5 stars
      ·
      974 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      R

      Rice University

      Medical Terminology I

      Skills you'll gain: Medical Terminology, Orthopedics, Medical Records, Urology, Anatomy, Electronic Medical Record

      4.9
      Rating, 4.9 out of 5 stars
      ·
      669 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      M

      Meta

      Introduction to Data Analytics

      Skills you'll gain: Data Storytelling, Business Metrics, Key Performance Indicators (KPIs), Data Cleansing, Data Modeling, Analytics, Data Analysis, Data Visualization, Data Validation, Exploratory Data Analysis, Data Quality, Data Manipulation, Generative AI, Data Collection

      4.8
      Rating, 4.8 out of 5 stars
      ·
      860 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      E

      Edureka

      Learn Generative AI with LLMs

      Skills you'll gain: Generative AI, Large Language Modeling, ChatGPT, Natural Language Processing, Computer Vision, Deep Learning, Predictive Modeling, Text Mining, Data Ethics, Image Analysis, Classification And Regression Tree (CART), Prompt Engineering, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Tensorflow, Applied Machine Learning, Machine Learning Algorithms, OpenAI, Supervised Learning, Personally Identifiable Information

      3.7
      Rating, 3.7 out of 5 stars
      ·
      41 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Developing Data Models with LookML

      Skills you'll gain: Looker (Software), Data Modeling, Dashboard, Database Design, Data Warehousing, Performance Tuning, SQL, Data Analysis, Business Analytics

      4.7
      Rating, 4.7 out of 5 stars
      ·
      63 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      A

      Arizona State University

      Chino básico: Lenguaje y cultura empresarial

      Skills you'll gain: Peer Review, Language Learning, Setting Appointments, Hotels and Accommodations, Oral Expression, Business Communication, Cultural Sensitivity, Verbal Communication Skills, Cultural Diversity, Communication, Travel Arrangements, Telephone Skills, Hospitality, Language Competency, Vocabulary, Constructive Feedback, Oral Comprehension, Scheduling, Greeting Customers, Professional Networking

      4.5
      Rating, 4.5 out of 5 stars
      ·
      513 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of Illinois Urbana-Champaign

      Financial Analysis - Skills for Success

      Skills you'll gain: Financial Statements, Financial Statement Analysis, Financial Forecasting, Financial Accounting, Variance Analysis, Financial Analysis, Income Statement, Balance Sheet, Performance Measurement, Management Accounting, Return On Investment, Revenue Forecasting, Cash Flow Forecasting, Financial Management, Cost Management, Financial Data, Budgeting, Finance, Accounting, Business Valuation

      4.7
      Rating, 4.7 out of 5 stars
      ·
      422 reviews

      Beginner · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Python Classes and Inheritance

      Skills you'll gain: Object Oriented Programming (OOP), JSON, Object Oriented Design, Unit Testing, Python Programming, Maintainability, Debugging, Software Testing, Data Structures

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.7K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Minnesota

      Software Development Processes and Methodologies

      Skills you'll gain: Software Development Methodologies, Agile Methodology, Software Engineering, Software Development Life Cycle, Requirements Analysis, Application Deployment, Agile Software Development, Systems Development, Software Architecture, Verification And Validation, Process Driven Development, Waterfall Methodology, System Requirements, Software Testing, Scrum (Software Development), Release Management, User Requirements Documents, Development Testing, Software Design, Maintainability

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.1K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of California, Davis

      JavaScript for Beginners

      Skills you'll gain: jQuery, Javascript and jQuery, Ajax, Javascript, Data Validation, UI Components, HTML and CSS, Scripting, JSON, Scripting Languages, Web Development Tools, JavaScript Frameworks, Web Applications, Web Design and Development, Event-Driven Programming, Game Design, Application Programming Interface (API), Object Oriented Programming (OOP), Animations, Programming Principles

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.1K reviews

      Beginner · Specialization · 3 - 6 Months

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

    • Introduction to GIS Mapping: University of Toronto
    • Pre-MBA Statistics: IIMA - IIM Ahmedabad
    • Systems Biology and Biotechnology: Icahn School of Medicine at Mount Sinai
    • Medical Terminology I: Rice University
    • Introduction to Data Analytics: Meta
    • Learn Generative AI with LLMs: Edureka
    • Developing Data Models with LookML: Google Cloud
    • Chino básico: Lenguaje y cultura empresarial: Arizona State University
    • Financial Analysis - Skills for Success: University of Illinois Urbana-Champaign
    • Python Classes and Inheritance: University of Michigan

    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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