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  • Large Language Models

Large Language Models Courses

Large Language Models courses can help you learn natural language processing, text generation techniques, and model evaluation methods. You can build skills in fine-tuning models, understanding tokenization, and implementing ethical AI practices. Many courses introduce tools like TensorFlow and PyTorch, along with libraries such as Hugging Face Transformers, that support developing and deploying AI applications that leverage large language models.

Popular Large Language Models Courses and Certifications


  • 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

    4.5
    Rating, 4.5 out of 5 stars
    ·
    1.5K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Bestseller
    Bestseller
    D

    DeepLearning.AI

    Generative AI with Large Language Models

    Skills you'll gain: Generative AI, Large Language Modeling, Generative Model Architectures, Fine-tuning, LLM Application, Model Training, Model Deployment, Python Programming, Scalability, Model Optimization, Machine Learning, Model Evaluation, Reinforcement Learning

    4.8
    Rating, 4.8 out of 5 stars
    ·
    3.6K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    P

    Packt

    AI LLM Fundamentals: Intro to Large Language Models+ChatGPT

    Skills you'll gain: Prompt Engineering, Fine-tuning, LLM Application, Large Language Modeling, ChatGPT, Generative AI, Generative Model Architectures, Machine Learning Methods, Embeddings, Artificial Intelligence and Machine Learning (AI/ML), Responsible AI, Model Training, Deep Learning, AI literacy, Natural Language Processing, Model Optimization, AI Workflows, Convolutional Neural Networks

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    C

    Coursera

    Generative AI and Large Language Models

    Skills you'll gain: Generative AI, Generative Model Architectures, Large Language Modeling, LLM Application, Generative Adversarial Networks (GANs), Retrieval-Augmented Generation, OpenAI, Hugging Face, OpenAI API, Multimodal Prompts, Responsible AI, AI Security, Autoencoders, Model Deployment, Fine-tuning, Application Deployment

    4.2
    Rating, 4.2 out of 5 stars
    ·
    13 reviews

    Intermediate · Course · 1 - 3 Months

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  • Status: Free Trial
    Free Trial
    D

    Duke University

    Large Language Model Operations (LLMOps)

    Skills you'll gain: Prompt Engineering, Databricks, Large Language Modeling, Model Deployment, LLM Application, Generative AI, Retrieval-Augmented Generation, Generative Model Architectures, Apache Airflow, Hugging Face, Amazon Bedrock, Vector Databases, Data Lakes, ChatGPT, Extract, Transform, Load, OpenAI, MLOps (Machine Learning Operations), Performance Tuning, Prompt Patterns, OpenAI API

    4.4
    Rating, 4.4 out of 5 stars
    ·
    347 reviews

    Beginner · Specialization · 3 - 6 Months

What brings you to Coursera today?

  • Status: Free Trial
    Free Trial
    I

    IBM

    Generative AI Engineering with LLMs

    Skills you'll gain: Prompt Engineering, Large Language Modeling, Retrieval-Augmented Generation, Generative AI, PyTorch (Machine Learning Library), Prompt Patterns, Generative AI Agents, Fine-tuning, Vector Databases, LLM Application, Generative Model Architectures, Generative Adversarial Networks (GANs), Embeddings, Natural Language Processing, Tool Calling, Hugging Face, Model Optimization, Reinforcement Learning, Transfer Learning, Data Pipelines

    4.5
    Rating, 4.5 out of 5 stars
    ·
    1.1K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    V

    Vanderbilt University

    Prompt Engineering for ChatGPT

    Skills you'll gain: Prompt Engineering, ChatGPT, Prompt Patterns, LLM Application, AI literacy, AI Enablement, AI powered creativity, Artificial Intelligence, Large Language Modeling, Game Design

    4.8
    Rating, 4.8 out of 5 stars
    ·
    8.1K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free
    Free
    D

    DeepLearning.AI

    Finetuning Large Language Models

    Skills you'll gain: Fine-tuning, Large Language Modeling, Model Training, Prompt Engineering, Retrieval-Augmented Generation, Model Optimization, Transfer Learning, Data Preprocessing

    4.6
    Rating, 4.6 out of 5 stars
    ·
    626 reviews

    Intermediate · Project · Less Than 2 Hours

  • Status: Top AI Program
    Top AI Program
    I

    IBM

    IBM Generative AI Engineering

    Skills you'll gain: Prompt Engineering, Prompt Patterns, Unit Testing, Large Language Modeling, LangChain, Retrieval-Augmented Generation, Data Wrangling, Responsible AI, Exploratory Data Analysis, Unsupervised Learning, Model Evaluation, Generative Model Architectures, PyTorch (Machine Learning Library), ChatGPT, Generative AI, LLM Application, Keras (Neural Network Library), Vector Databases, Fine-tuning, Data Import/Export

    4.7
    Rating, 4.7 out of 5 stars
    ·
    101K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    H

    H2O.ai

    Large Language Models

    Skills you'll gain: Large Language Modeling, LLM Application, Model Evaluation, Fine-tuning, Collaborative Software, Artificial Neural Networks, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Model Optimization, Generative AI, Data Management, Model Training, Data Preprocessing, Generative Model Architectures, Natural Language Processing, Data Validation, Data Cleansing, Applied Machine Learning, Transfer Learning, Verification And Validation

    3.7
    Rating, 3.7 out of 5 stars
    ·
    15 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Python for Data Science, AI & Development

    Skills you'll gain: Data Import/Export, Python Programming, NumPy, Scripting, Data Collection, Data Analysis

    4.6
    Rating, 4.6 out of 5 stars
    ·
    44K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Top AI Program
    Top AI Program
    G

    Google Cloud

    Introduction to Generative AI Learning Path

    Skills you'll gain: Responsible AI, LLM Application, Generative Model Architectures, AI literacy, AI Product Strategy, Deep Learning, Statistical Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    15K reviews

    Intermediate · Specialization · 1 - 3 Months

What brings you to Coursera today?

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Best Large Language Models courses from IBM

Top-rated Large Language Models courses offered by IBM on Coursera.

  1. 1
    Generative AI Engineering with LLMs
    IBMIntermediate3 - 6 Months4.5(1,087)IBM
  2. 2
    IBM Generative AI Engineering
    IBMBeginner3 - 6 Months4.7(100,617)IBM
  3. 3
    Python for Data Science, AI & Development
    IBMBeginner1 - 3 Months4.6(43,744)IBM

Best Large Language Models certificate programs

Earn a certificate in Large Language Models from top universities and companies.

  1. 1
    Large Language Model Operations (LLMOps)
    Duke UniversityBeginner3 - 6 Months4.4(347)Specialization
  2. 2
    Large Language Models
    H2O.aiIntermediate3 - 6 Months3.7(15)Specialization
  3. 3
    Introduction to Generative AI Learning Path
    Google CloudIntermediate1 - 3 Months4.7(14,962)Specialization

Best Large Language Models courses for beginners

Top-rated beginner-friendly Large Language Models courses with no prerequisites.

  1. 1
    Introduction to Large Language Models
    Google CloudBeginner1 - 4 Weeks4.5(1,511)No prerequisites
  2. 2
    Prompt Engineering for ChatGPT
    Vanderbilt UniversityBeginner1 - 3 Months4.8(8,092)No prerequisites

Frequently Asked Questions about Large Language Models

Large language models (LLMs) are advanced artificial intelligence systems designed to understand and generate human-like text. They utilize vast amounts of data and sophisticated algorithms to learn patterns in language, enabling them to perform a variety of tasks, such as translation, summarization, and content creation. The importance of LLMs lies in their ability to enhance communication, automate processes, and provide insights across numerous fields, including education, healthcare, and business. As organizations increasingly rely on data-driven decision-making, understanding LLMs becomes essential for leveraging their capabilities effectively.‎

Careers in large language models are diverse and growing rapidly. You might consider roles such as AI Research Scientist, Machine Learning Engineer, Data Scientist, or Natural Language Processing (NLP) Specialist. These positions often involve developing and implementing LLMs for various applications, including chatbots, recommendation systems, and content generation tools. Additionally, roles in product management and AI ethics are emerging as organizations seek to responsibly integrate LLMs into their operations. With the right skills and knowledge, you can position yourself for a rewarding career in this dynamic field.‎

To work effectively with large language models, you should focus on acquiring a blend of technical and analytical skills. Key areas include programming languages such as Python, familiarity with machine learning frameworks like TensorFlow or PyTorch, and a solid understanding of natural language processing concepts. Additionally, knowledge of data handling, model evaluation, and ethical considerations in AI is crucial. Courses that cover these topics can help you build a strong foundation and prepare you for practical applications in the field.‎

There are several excellent online courses available for learning about large language models. Notable options include the Large Language Models Specialization, which provides a comprehensive overview of LLMs, and the Generative AI and Large Language Models course, focusing on practical applications. For those interested in a structured learning path, the Quick Start Guide to Large Language Models (LLMs) Specialization is also a great choice.‎

Yes. You can start learning large language models on Coursera for free in two ways:

  1. Preview the first module of many large language models courses at no cost. This includes video lessons, readings, graded assignments, and Coursera Coach (where available).
  2. Start a 7-day free trial for Specializations or Coursera Plus. This gives you full access to all course content across eligible programs within the timeframe of your trial.

If you want to keep learning, earn a certificate in large language models, or unlock full course access after the preview or trial, you can upgrade or apply for financial aid.‎

To learn about large language models, start by identifying your current skill level and areas of interest. You can begin with introductory courses, such as the Introduction to Large Language Models, which provide a solid foundation. As you progress, consider more specialized courses that focus on specific applications or technologies. Engage with hands-on projects to apply what you learn, and participate in online communities to connect with others in the field. This approach will help reinforce your understanding and build your confidence.‎

Courses on large language models typically cover a range of topics, including the fundamentals of natural language processing, the architecture of LLMs, training techniques, and evaluation methods. You may also explore practical applications, such as building chatbots, content generation, and ethical considerations in AI. Advanced courses might explore into specific frameworks and tools used in the industry, providing you with the skills needed to implement LLMs effectively.‎

For training and upskilling employees or the workforce in large language models, consider courses like the Building Production-Ready Apps with Large Language Models course, which focuses on practical implementation. Additionally, the H2O AI Large Language Models (LLMs) - Level 1 course provides foundational knowledge that can be beneficial for teams looking to integrate LLMs into their projects. These courses can help organizations enhance their capabilities and stay competitive in the evolving landscape of AI.‎

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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Skills

  • Beginner Large Language Models
  • Advanced Large Language Models
  • LLMs Guided Projects
  • Transformer Models
  • Generative AI
  • Claude
  • Prompt Engineering
  • Agentic AI

Related Certificates

  • LLM Engineering That Works Prompting Tuning and Retrieval Certificate
  • IBM RAG and Agentic AI Certificate
  • Build AI Agents with OpenAI Tools Certificate
  • IBM Deep Learning with PyTorch, Keras and Tensorflow Certificate
  • IBM Generative AI Engineering Certificate
  • Generative AI for Leaders Certificate
  • Microsoft 365 Copilot for Productivity Certificate
  • PyTorch for Deep Learning Certificate

Courses & Specializations

  • Pearson Quick Start Guide to LLMs, Unit 3
  • Pearson Quick Start Guide to LLMs, Unit 1
  • Pearson Quick Start Guide to LLMs, Unit 2
  • Packt AI LLM Fundamentals Intro to Large Language Models ChatGPT Course
  • LLM Engineering Prompting Fine Tuning Optimization RAG Specialization
  • Nvidia Large Language Models and Generative AI Deployment Course
  • Azure LLM Large Language Models Course
  • Fine Tuning Optimizing Large Language Models Course

Career Resources

  • Generative AI vs Large Language Models Guide
  • How Do Large Language Models Work Guide
  • Large Language Models Interview Questions Guide
  • Large Language Models Guide
  • Transfer Learning From Large Language Models Guide
  • LLM vs Generative AI Guide
  • Large Language Model Applications Guide
  • Llama vs Alpaca LLM Guide

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