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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: Preview
      Preview
      D

      DeepLearning.AI

      Generative AI with Large Language Models

      Skills you'll gain: Large Language Modeling, Generative AI, Prompt Engineering, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Scalability, Reinforcement Learning, Natural Language Processing, Machine Learning, Performance Tuning, Python Programming, Software Architecture

      4.8
      Rating, 4.8 out of 5 stars
      ·
      3.4K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Introduction to Large Language Models

      Skills you'll gain: Large Language Modeling, Prompt Engineering, Generative AI, Google Cloud Platform, Performance Tuning

      4.4
      Rating, 4.4 out of 5 stars
      ·
      1.1K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free
      Free
      D

      DeepLearning.AI

      Finetuning Large Language Models

      Skills you'll gain: Large Language Modeling, Prompt Engineering, Applied Machine Learning, Data Processing, Generative AI, Deep Learning

      4.6
      Rating, 4.6 out of 5 stars
      ·
      549 reviews

      Intermediate · Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      D

      Duke University

      Large Language Model Operations (LLMOps)

      Skills you'll gain: Prompt Engineering, Apache Airflow, Generative AI, Databricks, Large Language Modeling, MySQL, Extract, Transform, Load, Data Pipelines, Scalability, Jupyter, Exploratory Data Analysis, Data Lakes, Serverless Computing, Microsoft Azure, Data Transformation, Data Ethics, OpenAI, Apache Spark, Debugging, PyTorch (Machine Learning Library)

      4.4
      Rating, 4.4 out of 5 stars
      ·
      199 reviews

      Beginner · Specialization · 3 - 6 Months

    • G

      Google Cloud

      Transformer Models and BERT Model

      Skills you'll gain: Natural Language Processing, Large Language Modeling, Artificial Neural Networks, Deep Learning, Unstructured Data

      4.1
      Rating, 4.1 out of 5 stars
      ·
      120 reviews

      Advanced · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      Generative AI Engineering with LLMs

      Skills you'll gain: Prompt Engineering, Large Language Modeling, Generative AI, PyTorch (Machine Learning Library), Natural Language Processing, Generative AI Agents, ChatGPT, User Interface (UI), Artificial Intelligence and Machine Learning (AI/ML), Human Computer Interaction, Artificial Neural Networks, Artificial Intelligence, Applied Machine Learning, Text Mining, Deep Learning, Application Development, Data Processing, Performance Tuning, Data Ethics, Feature Engineering

      4.5
      Rating, 4.5 out of 5 stars
      ·
      567 reviews

      Intermediate · Specialization · 3 - 6 Months

    What brings you to Coursera today?

    • Status: Free Trial
      Free Trial
      V

      Vanderbilt University

      Prompt Engineering for ChatGPT

      Skills you'll gain: Prompt Engineering, ChatGPT, Artificial Intelligence, Large Language Modeling, Generative AI, Application Development

      4.8
      Rating, 4.8 out of 5 stars
      ·
      6.4K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      H

      H2O.ai

      Large Language Models

      Skills you'll gain: Large Language Modeling, Generative AI, OpenAI, Data Cleansing, Exploratory Data Analysis, ChatGPT, Data Management, Natural Language Processing, Prompt Engineering, Artificial Intelligence and Machine Learning (AI/ML), Data Quality, Business Logic, Data Transformation, AI Personalization, MLOps (Machine Learning Operations), Artificial Intelligence, Applied Machine Learning, Performance Tuning, Benchmarking, Artificial Neural Networks

      3.6
      Rating, 3.6 out of 5 stars
      ·
      11 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Preview
      Preview
      D

      Duke University

      Foundations of Local Large Language models

      Skills you'll gain: Generative AI, Prompt Engineering, Large Language Modeling, MLOps (Machine Learning Operations), Data Ethics, Application Deployment, PyTorch (Machine Learning Library), Natural Language Processing, Risk Management Framework, Open Source Technology, Rust (Programming Language)

      4.2
      Rating, 4.2 out of 5 stars
      ·
      17 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      C

      Coursera Instructor Network

      Understanding Large Language Models in Business

      Skills you'll gain: Large Language Modeling, Business Modeling, Trend Analysis, Business Strategy, Business Process, OpenAI, Prompt Engineering, Business Analysis, ChatGPT, System Design and Implementation, Generative AI, Natural Language Processing, Artificial Intelligence

      4.5
      Rating, 4.5 out of 5 stars
      ·
      10 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free
      Free
      D

      DeepLearning.AI

      LangChain Chat with Your Data

      Skills you'll gain: Large Language Modeling, Data Import/Export, Data Access, Generative AI, Data Processing, Prompt Engineering, Data Storage Technologies, Natural Language Processing

      4.8
      Rating, 4.8 out of 5 stars
      ·
      627 reviews

      Beginner · Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      I

      IBM

      IBM AI Engineering

      Skills you'll gain: Prompt Engineering, Large Language Modeling, Unsupervised Learning, PyTorch (Machine Learning Library), Keras (Neural Network Library), Supervised Learning, Applied Machine Learning, Generative AI, Deep Learning, Natural Language Processing, Reinforcement Learning, Scikit Learn (Machine Learning Library), Regression Analysis, Generative AI Agents, Artificial Neural Networks, Machine Learning Algorithms, ChatGPT, Machine Learning, Python Programming, Data Science

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      21K reviews

      Intermediate · Professional Certificate · 3 - 6 Months

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

    • Generative AI with Large Language Models: DeepLearning.AI
    • Introduction to Large Language Models: Google Cloud
    • Finetuning Large Language Models: DeepLearning.AI
    • Large Language Model Operations (LLMOps): Duke University
    • Transformer Models and BERT Model: Google Cloud
    • Generative AI Engineering with LLMs: IBM
    • Prompt Engineering for ChatGPT: Vanderbilt University
    • Large Language Models: H2O.ai
    • Foundations of Local Large Language models: Duke University
    • Understanding Large Language Models in Business: Coursera Instructor Network

    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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