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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
      S

      Shanghai Jiao Tong University

      Mandarin Chinese for Intermediate Learners: Capstone Project

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

      3.9
      Rating, 3.9 out of 5 stars
      ·
      11 reviews

      Intermediate · Course · 1 - 3 Months

    • U

      Universitat Autònoma de Barcelona

      Linguistic Diversity, What for?

      Skills you'll gain: Language Competency, Language Interpretation, Translation, and Studies, Cultural Diversity, Diversity Awareness, Cultural Responsiveness, Advocacy, Cultural Sensitivity, Creativity, Anthropology, Intercultural Competence, Community Development, Discussion Facilitation

      4.8
      Rating, 4.8 out of 5 stars
      ·
      21 reviews

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      V

      Vanderbilt University

      Chat with Your Data: Generative AI-Powered SQL Data Analysis

      Skills you'll gain: SQL, Generative AI, Data Visualization, Query Languages, Data Storytelling, Data Analysis, Debugging, Data-Driven Decision-Making, Exploratory Data Analysis, ChatGPT, Prompt Engineering, Databases, Data Integrity

      5
      Rating, 5 out of 5 stars
      ·
      20 reviews

      Beginner · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Essential Causal Inference Techniques for Data Science

      Skills you'll gain: Regression Analysis, Data Science, Statistical Machine Learning, Data-Driven Decision-Making, R Programming, Statistical Inference, Applied Machine Learning, Classification And Regression Tree (CART), Machine Learning, Statistical Methods, Advanced Analytics, Data Analysis, Predictive Modeling

      4.5
      Rating, 4.5 out of 5 stars
      ·
      38 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free
      Free
      D

      DeepLearning.AI

      Embedding Models: From Architecture to Implementation

      Skills you'll gain: Large Language Modeling, Artificial Neural Networks, Deep Learning, Semantic Web, Natural Language Processing, Text Mining, Applied Machine Learning

      Beginner · Project · Less Than 2 Hours

    • Status: Free
      Free
      C

      Coursera Project Network

      Tweet Emotion Recognition with TensorFlow

      Skills you'll gain: Tensorflow, Python Programming, Natural Language Processing, Artificial Neural Networks, Text Mining, Machine Learning Algorithms, Deep Learning, Data Processing

      4.5
      Rating, 4.5 out of 5 stars
      ·
      163 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Diagnosing Health Behaviors for Global Health Programs

      Skills you'll gain: Behavioral Health, Mental and Behavioral Health, Cultural Sensitivity, Public Health, Health Policy, Sociology, Community Health, Social Sciences, Program Evaluation, Learning Theory

      4.7
      Rating, 4.7 out of 5 stars
      ·
      93 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      E

      EIT Digital

      Web Connectivity and Security in Embedded Systems

      Skills you'll gain: Cryptography, Security Requirements Analysis, Network Architecture, Network Security, Internet Of Things, Cybersecurity, Web Services, Encryption, Embedded Systems, Network Protocols, Public Key Cryptography Standards (PKCS), Computer Networking, Threat Modeling, Simple Object Access Protocol (SOAP), TCP/IP, Restful API, Information Privacy, OSI Models

      4.4
      Rating, 4.4 out of 5 stars
      ·
      171 reviews

      Intermediate · Course · 1 - 3 Months

    • I

      ISC2

      Access Control

      Skills you'll gain: Authentications, Authorization (Computing), Identity and Access Management, Security Controls, User Provisioning, Data Access, Information Systems Security, Computer Security, Network Architecture

      4.5
      Rating, 4.5 out of 5 stars
      ·
      26 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      Generative AI: Elevate your Data Engineering Career

      Skills you'll gain: Generative AI, Database Design, Data Pipelines, Query Languages, Extract, Transform, Load, Snowflake Schema, Star Schema, Data Warehousing, Data Ethics, Data Infrastructure, Data Architecture, Data Mining, Data Synthesis, Data Analysis, Artificial Intelligence, Data Quality

      4.8
      Rating, 4.8 out of 5 stars
      ·
      29 reviews

      Intermediate · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Data Science Challenge

      Skills you'll gain: Applied Machine Learning, Jupyter, Machine Learning Algorithms, Machine Learning, Predictive Modeling, Data Science, Python Programming, Predictive Analytics

      4.7
      Rating, 4.7 out of 5 stars
      ·
      163 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • U

      University of Copenhagen

      Business Models for Innovative Care for Older People

      Skills you'll gain: Gerontology, Competitive Analysis, Design Thinking, Innovation, Rehabilitation, Intellectual Property, Health Technology, Chronic Diseases, Health Systems, Geriatrics, Health Care, Long Term Care, Service Design, Value Propositions, Business Modeling

      4.5
      Rating, 4.5 out of 5 stars
      ·
      229 reviews

      Intermediate · Course · 1 - 3 Months

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

    • Mandarin Chinese for Intermediate Learners: Capstone Project: Shanghai Jiao Tong University
    • Linguistic Diversity, What for?: Universitat Autònoma de Barcelona
    • Chat with Your Data: Generative AI-Powered SQL Data Analysis: Vanderbilt University
    • Essential Causal Inference Techniques for Data Science: Coursera Project Network
    • Embedding Models: From Architecture to Implementation: DeepLearning.AI
    • Tweet Emotion Recognition with TensorFlow: Coursera Project Network
    • Diagnosing Health Behaviors for Global Health Programs: Johns Hopkins University
    • Web Connectivity and Security in Embedded Systems: EIT Digital
    • Access Control: ISC2
    • Generative AI: Elevate your Data Engineering Career : IBM

    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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