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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 Michigan

      Building Database Applications in PHP

      Skills you'll gain: PHP (Scripting Language), MySQL, Database Application, Database Development, Object Oriented Programming (OOP), Authentications, Web Applications, SQL, Server Side, Application Security

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.1K reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free
      Free
      D

      DeepLearning.AI

      AI Agents in LangGraph

      Skills you'll gain: Generative AI Agents, OpenAI, Large Language Modeling, Prompt Engineering, Artificial Intelligence, Human Factors

      4.7
      Rating, 4.7 out of 5 stars
      ·
      149 reviews

      Intermediate · Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Machine Learning in the Enterprise

      Skills you'll gain: MLOps (Machine Learning Operations), Google Cloud Platform, Data Management, Data Governance, Workflow Management, Applied Machine Learning, Data Pipelines, Machine Learning, Predictive Modeling, Feature Engineering, Continuous Monitoring

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.5K reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Toronto

      Motion Planning for Self-Driving Cars

      Skills you'll gain: Algorithms, Computer Vision, Simulations, Predictive Modeling, Scenario Testing, Data Structures, Spatial Data Analysis

      4.8
      Rating, 4.8 out of 5 stars
      ·
      482 reviews

      Advanced · Course · 1 - 3 Months

    • U

      University of Glasgow

      MBA Essentials

      Skills you'll gain: Business Administration, Leadership Studies, Digital Transformation, Supply Chain Management, Marketing, Financial Data, Innovation, Corporate Sustainability, Accounting, Business Modeling, Change Management, Business Economics, Project Management, Business Strategies, Global Marketing, Digital Marketing, B2B Sales

      4.6
      Rating, 4.6 out of 5 stars
      ·
      198 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      S

      Stanford University

      Probabilistic Graphical Models 2: Inference

      Skills you'll gain: Bayesian Network, Bayesian Statistics, Statistical Inference, Markov Model, Graph Theory, Sampling (Statistics), Applied Machine Learning, Statistical Methods, Probability & Statistics, Algorithms, Probability Distribution, Machine Learning Algorithms, Computational Thinking

      4.6
      Rating, 4.6 out of 5 stars
      ·
      488 reviews

      Advanced · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Virginia

      Customer-Centric IT Strategy

      Skills you'll gain: Information Technology, Business Strategy, Design Thinking, Process Design, Large Language Modeling, Cybersecurity, Business Modeling, Agile Methodology, Artificial Intelligence, Project Portfolio Management, Cost Benefit Analysis, Technical Communication, User Story

      4.6
      Rating, 4.6 out of 5 stars
      ·
      665 reviews

      Beginner · Course · 1 - 4 Weeks

    • L

      Lund University

      Digital Business Models

      Skills you'll gain: Business Modeling, Digital Transformation, Innovation, Business Process, Software Development, Network Analysis, Business Strategy, E-Commerce, Market Share, Strategic Thinking, Value Propositions, Application Programming Interface (API)

      4.6
      Rating, 4.6 out of 5 stars
      ·
      563 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of California, Irvine

      TOEFL Test-Taking Strategies

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

      4.8
      Rating, 4.8 out of 5 stars
      ·
      137 reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Washington

      Social Media Data Analytics

      Skills you'll gain: R Programming, Text Mining, Statistical Analysis, Correlation Analysis, Web Scraping, Regression Analysis, Analytics, Big Data, Data Analysis, Data Mining, Unstructured Data, Data Collection, Scripting, Application Programming Interface (API), Python Programming

      4.1
      Rating, 4.1 out of 5 stars
      ·
      296 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      C

      Coursera Instructor Network

      Introduction to Retrieval Augmented Generation (RAG)

      Skills you'll gain: Prompt Engineering, Large Language Modeling, ChatGPT, OpenAI, Generative AI, Artificial Intelligence and Machine Learning (AI/ML), Natural Language Processing, Application Development, Data Store, Data Storage Technologies

      4.3
      Rating, 4.3 out of 5 stars
      ·
      12 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      C

      California Institute of the Arts

      Web Design: Wireframes to Prototypes

      Skills you'll gain: Wireframing, Mockups, Responsive Web Design, Web Design, User Interface (UI) Design, User Experience Design, Prototyping, Web Language, Graphic and Visual Design, HTML and CSS, Typography, Peer Review

      4.8
      Rating, 4.8 out of 5 stars
      ·
      868 reviews

      Intermediate · Course · 1 - 3 Months

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

    • Building Database Applications in PHP: University of Michigan
    • AI Agents in LangGraph: DeepLearning.AI
    • Machine Learning in the Enterprise: Google Cloud
    • Motion Planning for Self-Driving Cars: University of Toronto
    • MBA Essentials: University of Glasgow
    • Probabilistic Graphical Models 2: Inference: Stanford University
    • Customer-Centric IT Strategy: University of Virginia
    • Digital Business Models: Lund University
    • TOEFL Test-Taking Strategies: University of California, Irvine
    • Social Media Data Analytics: University of Washington

    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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