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.

Top Large Language Models Courses - Learn Large Language Models Online

Explore the Large Language Models (LLMs) Course Catalog

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
4.4
Rating, 4.4 out of 5 stars
1.1K 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
6.7K reviews
Beginner · Course · 1 - 3 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
4.4
Rating, 4.4 out of 5 stars
221 reviews
Beginner · Specialization · 3 - 6 Months
Status: Free
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
632 reviews
Beginner · Project · Less Than 2 Hours
Status: Preview
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 Trial
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
11 reviews
Beginner · Course · 1 - 4 Weeks

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Status: Free Trial
IBM
IBM Generative AI Engineering
Skills you'll gain: Prompt Engineering, LangChain, Large Language Modeling, Prompt Patterns, Predictive Modeling, Unsupervised Learning, PyTorch (Machine Learning Library), Generative AI, Restful API, Keras (Neural Network Library), Supervised Learning, Exploratory Data Analysis, Flask (Web Framework), Data Wrangling, Data Analysis, Regression Analysis, LLM Application, Deep Learning, Scikit Learn (Machine Learning Library), Data Import/Export
4.6
Rating, 4.6 out of 5 stars
92K reviews
Beginner · Professional Certificate · 3 - 6 Months
Status: Free Trial
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
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
251 reviews
Beginner · Course · 1 - 4 Weeks
Status: Free
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
Vanderbilt University
Prompt Engineering
Skills you'll gain: Prompt Engineering, ChatGPT, Prompt Patterns, Ideation, Verification And Validation, Data Presentation, LLM Application, Productivity, OpenAI, Document Management, Responsible AI, Generative AI, Large Language Modeling, Risk Management Framework, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Creative Thinking, Problem Solving, Data Analysis, Information Management
4.8
Rating, 4.8 out of 5 stars
7.6K reviews
Beginner · Specialization · 1 - 3 Months
Status: Free Trial
H2O.ai
H2O ai Large Language Models (LLMs) - Level 1
Skills you'll gain: Large Language Modeling, LLM Application, Artificial Neural Networks, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Generative AI, Prompt Engineering, Natural Language Processing
3
Rating, 3 out of 5 stars
8 reviews
Beginner · Course · 1 - 4 Weeks