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Large Language Models Courses

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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Find the best Large Language Models course for your goals

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Introduction to Large Language Models

    Skills you'll gain: Large Language Modeling, Prompt Engineering, LLM Application, Generative AI, Prompt Patterns, Generative Model Architectures

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

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    V

    Vanderbilt University

    Prompt Engineering for ChatGPT

    Skills you'll gain: Prompt Engineering, ChatGPT, Prompt Patterns, LLM Application, Productivity, OpenAI, Generative AI, Artificial Intelligence, Large Language Modeling, Artificial Intelligence and Machine Learning (AI/ML), Creative Thinking, Creative Problem-Solving, Problem Solving

    4.8
    Rating, 4.8 out of 5 stars
    ·
    6.8K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Large Language Model Operations (LLMOps)

    Skills you'll gain: Prompt Engineering, Databricks, Large Language Modeling, LLM Application, Generative AI, Performance Analysis, Apache Airflow, Workflow Management, Amazon Bedrock, Data Lakes, ChatGPT, Extract, Transform, Load, OpenAI, Multimodal Prompts, MLOps (Machine Learning Operations), AWS SageMaker, Performance Tuning, Scalability, Database Management Systems, Generative Model Architectures

    4.4
    Rating, 4.4 out of 5 stars
    ·
    226 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Preview
    Preview
    D

    Duke University

    Foundations of Local Large Language models

    Skills you'll gain: Responsible AI, Generative AI, LLM Application, Cloud Applications, Application Deployment, Large Language Modeling, Data Ethics, Prompt Engineering, Risk Management Framework, Open Source Technology, Rust (Programming Language)

    4.1
    Rating, 4.1 out of 5 stars
    ·
    18 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free
    Free
    D

    DeepLearning.AI

    LangChain Chat with Your Data

    Skills you'll gain: LangChain, LLM Application, Large Language Modeling, Extract, Transform, Load, Data Processing, Data Import/Export, Semantic Web, Generative AI, Prompt Engineering, Document Management

    4.8
    Rating, 4.8 out of 5 stars
    ·
    636 reviews

    Beginner · Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    I

    IBM

    IBM Generative AI Engineering

    Skills you'll gain: Exploratory Data Analysis, Prompt Engineering, Data Wrangling, LangChain, Prompt Patterns, Large Language Modeling, Generative AI, Unsupervised Learning, PyTorch (Machine Learning Library), LLM Application, Supervised Learning, Keras (Neural Network Library), Data Transformation, Flask (Web Framework), Feature Engineering, Data Analysis, Data Cleansing, Data Manipulation, Unit Testing, Data Import/Export

    4.6
    Rating, 4.6 out of 5 stars
    ·
    93K reviews

    Beginner · Professional Certificate · 3 - 6 Months

What brings you to Coursera today?

  • Status: Free Trial
    Free Trial
    I

    IBM

    Introduction to Artificial Intelligence (AI)

    Skills you'll gain: Generative AI, Responsible AI, LLM Application, Natural Language Processing, Market Opportunities

    4.7
    Rating, 4.7 out of 5 stars
    ·
    21K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Generative AI: Foundation Models and Platforms

    Skills you'll gain: Generative AI, Generative Model Architectures, OpenAI, Large Language Modeling, LLM Application, Prompt Engineering, Deep Learning, Responsible AI, Natural Language Processing

    4.7
    Rating, 4.7 out of 5 stars
    ·
    260 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free
    Free
    D

    DeepLearning.AI

    Large Language Models with Semantic Search

    Skills you'll gain: LLM Application, Large Language Modeling, Data Processing, Big Data, Applied Machine Learning, Semantic Web, Natural Language Processing

    Beginner · Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    C

    Coursera Instructor Network

    Understanding Large Language Models in Business

    Skills you'll gain: Large Language Modeling, LLM Application, Trend Analysis, Real Time Data, Analytics, OpenAI, Business Marketing, Program Development, Business Strategy, Generative AI, ChatGPT, Technology Roadmaps, Market Trend, Artificial Intelligence and Machine Learning (AI/ML), MarTech, Artificial Neural Networks, Content Marketing, Customer experience improvement

    4.5
    Rating, 4.5 out of 5 stars
    ·
    12 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of California, Davis

    Learn Spanish: Basic Spanish Vocabulary

    Skills you'll gain: Peer Review, Language Learning, Spanish Language, Oral Expression, Grammar, Oral Comprehension, Vocabulary, Culture, Writing and Editing, Language Competency, Research, Writing

    4.6
    Rating, 4.6 out of 5 stars
    ·
    3.7K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    IBM AI Developer

    Skills you'll gain: Prompt Engineering, Software Development Life Cycle, Prompt Patterns, Software Architecture, Generative AI, LLM Application, Responsive Web Design, Flask (Web Framework), Cascading Style Sheets (CSS), Large Language Modeling, Unit Testing, LangChain, Software Design, Software Development Methodologies, Responsible AI, Data Import/Export, Python Programming, Engineering Software, Machine Learning, Data Science

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    76K reviews

    Beginner · Professional Certificate · 3 - 6 Months

Large Language Models learners also search

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

  • Introduction to Large Language Models: Google Cloud
  • Prompt Engineering for ChatGPT: Vanderbilt University
  • Large Language Model Operations (LLMOps): Duke University
  • Foundations of Local Large Language models: Duke University
  • LangChain Chat with Your Data: DeepLearning.AI
  • IBM Generative AI Engineering: IBM
  • Introduction to Artificial Intelligence (AI): IBM
  • Generative AI: Foundation Models and Platforms: IBM
  • Large Language Models with Semantic Search: DeepLearning.AI
  • Understanding Large Language Models in Business: Coursera Instructor Network

Frequently Asked Questions about Large Language Models

Browse the LLM courses below—popular starting points on Coursera.

  • Generative AI with Large Language Models: DeepLearning.AI
  • Introduction to Large Language Models: Google Cloud
  • Large Language Model Operations (LLMOps): Duke University
  • Finetuning Large Language Models: DeepLearning.AI
  • Generative AI Engineering with LLMs: IBM
  • Large Language Models: H2O.ai
  • Foundations of Local Large Language models: Duke University‎

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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