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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


  • 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 (3.6K) · Intermediate · Course · 1 - 4 Weeks

    Category: Preview
    Preview
    Category: Credit offered
    Credit offered
  • G

    Google Cloud

    Introduction to Large Language Models

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

    ★ 4.5 (1.4K) · Beginner · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • 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

    ★ 4.5 (11) · Intermediate · Course · 1 - 3 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • 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 Engineering Tools, 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, Transfer Learning, Data Pipelines, Model Training

    ★ 4.5 (988) · Intermediate · Specialization · 3 - 6 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • 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 (313) · Beginner · Specialization · 3 - 6 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • 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 (618) · Intermediate · Project · Less Than 2 Hours

    Category: Free
    Free
    Category: Credit offered
    Credit offered

What brings you to Coursera today?

  • 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

    ★ 4.8 (7.8K) · Beginner · Course · 1 - 3 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • I

    IBM

    IBM Generative AI Engineering

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

    ★ 4.7 (99K) · Beginner · Professional Certificate · 3 - 6 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • 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, Transfer Learning, Verification And Validation, Data Quality

    ★ 3.6 (14) · Intermediate · Specialization · 3 - 6 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • I

    IBM

    Generative AI and LLMs: Architecture and Data Preparation

    Skills you'll gain: Large Language Modeling, Generative AI, Generative Model Architectures, LLM Application, Generative Adversarial Networks (GANs), Hugging Face, Data Pipelines, PyTorch (Machine Learning Library), Natural Language Processing, Data Preprocessing, Model Training, Recurrent Neural Networks (RNNs)

    ★ 4.6 (421) · Intermediate · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • P

    Pearson

    Quick Start Guide to Large Language Models (LLMs)

    Skills you'll gain: Prompt Engineering, Large Language Modeling, LLM Application, Retrieval-Augmented Generation, Fine-tuning, ChatGPT, Natural Language Processing, Generative AI Agents, OpenAI API, Model Deployment, Model Optimization, Embeddings, OpenAI, Transfer Learning, Generative Model Architectures, Multimodal Prompts, Generative AI, Cloud Deployment, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning

    Intermediate · Specialization · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • D

    DeepLearning.AI

    Natural Language Processing

    Skills you'll gain: Natural Language Processing, Supervised Learning, Transfer Learning, Recurrent Neural Networks (RNNs), Markov Model, Embeddings, Dimensionality Reduction, Large Language Modeling, Machine Learning Methods, Text Mining, Statistical Machine Learning, Fine-tuning, Artificial Neural Networks, Classification Algorithms, Data Preprocessing, Deep Learning, Tensorflow, Logistic Regression, Feature Engineering, Applied Machine Learning

    ★ 4.6 (6.2K) · Intermediate · Specialization · 3 - 6 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
1234…661

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
  • Generative AI and Large Language Models: Coursera
  • Generative AI Engineering with LLMs: IBM
  • Large Language Model Operations (LLMOps): Duke University
  • Finetuning Large Language Models: DeepLearning.AI
  • Prompt Engineering for ChatGPT: Vanderbilt University
  • IBM Generative AI Engineering: IBM
  • Large Language Models: H2O.ai
  • Generative AI and LLMs: Architecture and Data Preparation: IBM

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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