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.

Best Large Language Models (LLMs) Courses & Certificates Online [2025]

Explore the Large Language Models (LLMs) Course Catalog

Status: Preview
DeepLearning.AI
Generative AI with Large Language Models
Skills you'll gain: Generative AI, Large Language Modeling, OpenAI, ChatGPT, Prompt Engineering, PyTorch (Machine Learning Library), Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Tensorflow, Python Programming, Applied Machine Learning, Scalability, Natural Language Processing, Machine Learning, Application Deployment, Reinforcement Learning, Performance Tuning, Performance Metric
4.8
Rating, 4.8 out of 5 stars
3.4K reviews
Intermediate · Course · 1 - 4 Weeks
Status: Free Trial
Vanderbilt University
Prompt Engineering for ChatGPT
Skills you'll gain: Prompt Engineering, ChatGPT, Productivity, Generative AI, Artificial Intelligence, Large Language Modeling, Creative Thinking, Ingenuity, Brainstorming, Problem Solving, Application Development, Collaboration
4.8
Rating, 4.8 out of 5 stars
6.3K reviews
Beginner · Course · 1 - 3 Months
Status: Free Trial
Google Cloud
Introduction to Large Language Models
Skills you'll gain: Large Language Modeling, Prompt Engineering, Generative AI, Google Cloud Platform, Artificial Intelligence and Machine Learning (AI/ML)
4.4
Rating, 4.4 out of 5 stars
1K reviews
Beginner · Course · 1 - 4 Weeks
Status: Free
DeepLearning.AI
Finetuning Large Language Models
Skills you'll gain: Large Language Modeling, Prompt Engineering, Generative AI, Performance Tuning, Data Processing, Deep Learning
4.6
Rating, 4.6 out of 5 stars
546 reviews
Intermediate · Project · Less Than 2 Hours
Google Cloud
Transformer Models and BERT Model
Skills you'll gain: Large Language Modeling, Natural Language Processing, Generative AI, Artificial Neural Networks
4.1
Rating, 4.1 out of 5 stars
119 reviews
Advanced · Course · 1 - 4 Weeks
Status: Free Trial
IBM
Generative AI Engineering with LLMs
Skills you'll gain: Prompt Engineering, Large Language Modeling, Generative AI, PyTorch (Machine Learning Library), Generative AI Agents, Natural Language Processing, OpenAI, Artificial Intelligence and Machine Learning (AI/ML), ChatGPT, Data Pipelines, Artificial Intelligence, Text Mining, Data Ethics, Artificial Neural Networks, Application Development, Deep Learning, Applied Machine Learning, Performance Tuning, Semantic Web, Reinforcement Learning
4.5
Rating, 4.5 out of 5 stars
527 reviews
Intermediate · Specialization · 3 - 6 Months

What brings you to Coursera today?

Start my career

Change my career

Grow in my current role

Explore topics outside of work

Status: Free Trial
Duke University
Large Language Model Operations (LLMOps)
Skills you'll gain: Prompt Engineering, Databricks, Large Language Modeling, Generative AI, Performance Analysis, Apache Airflow, Workflow Management, Data Lakes, ChatGPT, Extract, Transform, Load, OpenAI, AWS SageMaker, Performance Tuning, Scalability, Database Management Systems, Dataflow, Data Transformation, Microsoft Azure, MLOps (Machine Learning Operations), Natural Language Processing
4.4
Rating, 4.4 out of 5 stars
190 reviews
Beginner · Specialization · 3 - 6 Months
Status: Free Trial
IBM
IBM AI Engineering
Skills you'll gain: Prompt Engineering, Large Language Modeling, PyTorch (Machine Learning Library), Unsupervised Learning, Generative AI, Keras (Neural Network Library), Supervised Learning, Deep Learning, Reinforcement Learning, Regression Analysis, Scikit Learn (Machine Learning Library), Applied Machine Learning, Generative AI Agents, Natural Language Processing, Tensorflow, Artificial Neural Networks, OpenAI, 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
Status: Free
DeepLearning.AI
LangChain Chat with Your Data
Skills you'll gain: Large Language Modeling, Data Processing, Data Store, Data Access, Generative AI, Prompt Engineering, Document Management, Query Languages, Natural Language Processing
4.8
Rating, 4.8 out of 5 stars
622 reviews
Beginner · Project · Less Than 2 Hours
Status: Preview
Duke University
Foundations of Local Large Language models
Skills you'll gain: Generative AI, Cloud Applications, Application Deployment, Large Language Modeling, Other Programming Languages, Data Ethics, MLOps (Machine Learning Operations), Prompt Engineering, Statistical Programming, Risk Management Framework, Natural Language Processing, Performance Testing, Command-Line Interface, Rust (Programming Language)
4.2
Rating, 4.2 out of 5 stars
17 reviews
Beginner · Course · 1 - 4 Weeks
Status: Free Trial
H2O.ai
Large Language Models
Skills you'll gain: Large Language Modeling, Collaborative Software, Artificial Neural Networks, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Generative AI, Prompt Engineering, Machine Learning Methods, Training Programs, Data Validation, Data Cleansing, Program Evaluation, Business Logic, Natural Language Processing, Applied Machine Learning, AI Personalization, MLOps (Machine Learning Operations), Data Processing, Data Transformation, Verification And Validation
3.6
Rating, 3.6 out of 5 stars
11 reviews
Intermediate · Specialization · 3 - 6 Months
Status: Free Trial
IBM
IBM Generative AI Engineering
Skills you'll gain: Exploratory Data Analysis, Prompt Engineering, Data Wrangling, Large Language Modeling, Unsupervised Learning, PyTorch (Machine Learning Library), Generative AI, Restful API, ChatGPT, Keras (Neural Network Library), Data Transformation, Supervised Learning, Flask (Web Framework), Data Analysis, Data Cleansing, Data Manipulation, Deep Learning, Jupyter, Regression Analysis, Data Import/Export
4.6
Rating, 4.6 out of 5 stars
90K reviews
Beginner · Professional Certificate · 3 - 6 Months