What are the best LLM courses online?

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

What skills can I learn from courses on Large Language Models (LLMs) on Coursera?

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.

Do I need prior experience in artificial intelligence to start learning about LLMs on Coursera?

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.

What certifications and credentials can I earn through LLM courses on Coursera?

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.

What career opportunities can be pursued with skills in Large Language Models?

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.

How can I purchase LLM training courses for my team?

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.

Meilleurs cours et certificats en Large Language Models 2026

Browse
Large Language Models

Cours en Large Language Models

Les cours sur les large language models peuvent vous aider à comprendre comment ces modèles analysent le langage, génèrent du texte et répondent à des requôtes. Vous pouvez développer des compétences en création de prompts, évaluation, utilisation d'API et bonnes pratiques pour travailler avec ces modèles.

Cours et certificats populaires en Large Language Models

Status: Preview
DeepLearning.AI
Generative AI with Large Language Models
Skills you'll gain: Generative AI, Large Language Modeling, Prompt Engineering, PyTorch (Machine Learning Library), Python Programming, Applied Machine Learning, Scalability, Natural Language Processing, Responsible AI, Machine Learning, Reinforcement Learning, Performance Tuning
4.8
Rating, 4.8 out of 5 stars
3.5K reviews
Intermediate · Course · 1 - 4 Weeks
Status: Free Trial
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
4.5
Rating, 4.5 out of 5 stars
1.2K reviews
Beginner · Course · 1 - 4 Weeks
Status: Free Trial
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
7.2K reviews
Beginner · Course · 1 - 3 Months
Status: Free Trial
IBM
Generative AI Engineering with LLMs
Skills you'll gain: Prompt Engineering, Large Language Modeling, Generative AI, PyTorch (Machine Learning Library), LLM Application, Natural Language Processing, Artificial Intelligence and Machine Learning (AI/ML), Data Pipelines, Text Mining, Data Ethics, Artificial Intelligence, Deep Learning, Performance Tuning, Applied Machine Learning, Data Processing, Artificial Neural Networks, Reinforcement Learning, Document Management, Database Management Systems, Data Storage Technologies
4.5
Rating, 4.5 out of 5 stars
808 reviews
Intermediate · Specialization · 3 - 6 Months
Status: Free Trial
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
4.5
Rating, 4.5 out of 5 stars
256 reviews
Beginner · Specialization · 3 - 6 Months
Status: Free
DeepLearning.AI
Finetuning Large Language Models
Skills you'll gain: Large Language Modeling, LLM Application, Prompt Engineering, AI Personalization, Network Model
4.6
Rating, 4.6 out of 5 stars
592 reviews
Intermediate · Project · Less Than 2 Hours

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Status: Free Trial
IBM
IBM AI Engineering
Skills you'll gain: Prompt Engineering, Apache Spark, Large Language Modeling, PyTorch (Machine Learning Library), Computer Vision, Unsupervised Learning, Generative AI, PySpark, Keras (Neural Network Library), Supervised Learning, Deep Learning, Reinforcement Learning, Regression Analysis, LLM Application, Scikit Learn (Machine Learning Library), Applied Machine Learning, Natural Language Processing, 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
Google Cloud
Transformer Models and BERT Model
Skills you'll gain: Large Language Modeling, Natural Language Processing, Generative Model Architectures, Artificial Neural Networks
4.1
Rating, 4.1 out of 5 stars
124 reviews
Advanced · Course · 1 - 4 Weeks
Status: Free Trial
IBM
IBM Generative AI Engineering
Skills you'll gain: Prompt Engineering, Exploratory Data Analysis, Data Wrangling, LangChain, Prompt Patterns, Large Language Modeling, Unsupervised Learning, PyTorch (Machine Learning Library), Generative AI, Restful API, Keras (Neural Network Library), Data Transformation, Supervised Learning, Flask (Web Framework), Data Analysis, Data Cleansing, Data Manipulation, Responsible AI, LLM Application, Data Import/Export
4.6
Rating, 4.6 out of 5 stars
96K reviews
Beginner · Professional Certificate · 3 - 6 Months
Status: Free Trial
H2O.ai
Large Language Models
Skills you'll gain: Large Language Modeling, LLM Application, Artificial Neural Networks, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Generative AI, Data Management, Prompt Engineering, Training Programs, Data Validation, Data Cleansing, Program Evaluation, Natural Language Processing, Applied Machine Learning, MLOps (Machine Learning Operations), Data Transformation, Verification And Validation, Data Quality, Performance Tuning, Data Processing
3.5
Rating, 3.5 out of 5 stars
13 reviews
Intermediate · Specialization · 3 - 6 Months
Status: Free Trial
IBM
Introduction to Artificial Intelligence (AI)
Skills you'll gain: Responsible AI, Generative AI, Natural Language Processing, Business Intelligence, Content Creation, Risk Mitigation
4.7
Rating, 4.7 out of 5 stars
22K reviews
Beginner · Course · 1 - 4 Weeks
Status: Free Trial
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
292 reviews
Beginner · Course · 1 - 4 Weeks

Searches related to large language models

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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
Prompt Engineering for ChatGPT: Vanderbilt University
Generative AI Engineering with LLMs: IBM
Large Language Model Operations (LLMOps): Duke University
Finetuning Large Language Models: DeepLearning.AI
IBM AI Engineering: IBM
Transformer Models and BERT Model: Google Cloud
IBM Generative AI Engineering: IBM
Large Language Models: H2O.ai

Frequently Asked Questions about Large Language Models

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

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.‎

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.