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
DeepLearning.AI
LangChain Chat with Your Data
Skills you'll gain: ChatGPT, Data Processing, Data Store, Data Import/Export, Generative AI, Query Languages, OpenAI, Text Mining, Unstructured Data, Natural Language Processing
4.8
Rating, 4.8 out of 5 stars
584 reviews
Beginner · Project · Less Than 2 Hours
Status: Free
Duke University
Foundations of Local Large Language models
Skills you'll gain: Generative AI, Application Deployment, Cloud Computing, Other Programming Languages, Data Ethics, MLOps (Machine Learning Operations), Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Natural Language Processing, Command-Line Interface, Open Source Technology, Rust (Programming Language)
4.5
Rating, 4.5 out of 5 stars
14 reviews
Beginner · Course · 1 - 4 Weeks
Vanderbilt University
Prompt Engineering
Skills you'll gain: ChatGPT, Ideation, Verification And Validation, Data Presentation, Document Management, Generative AI, Artificial Intelligence, Risk Management Framework, Productivity Software, Microsoft Excel, Creative Thinking, Creativity, Data Ethics, Data Analysis, Natural Language Processing, Data Transformation, Technical Communication, Workflow Management, Content Creation, Data Validation
4.8
Rating, 4.8 out of 5 stars
6.1K reviews
Beginner · Specialization · 1 - 3 Months
Status: New
IBM
IBM Generative AI Engineering
Skills you'll gain: Generative AI, Data Wrangling, Unit Testing, Supervised Learning, Feature Engineering, ChatGPT, Keras (Neural Network Library), Unsupervised Learning, Natural Language Processing, Data Cleansing, Jupyter, Data Analysis, Deep Learning, Data Manipulation, PyTorch (Machine Learning Library), Artificial Intelligence, Data Import/Export, Data Ethics, Exploratory Data Analysis, Scikit Learn (Machine Learning Library)
4.6
Rating, 4.6 out of 5 stars
84K reviews
Beginner · Professional Certificate · 3 - 6 Months
Vanderbilt University
Generative AI Automation
Skills you'll gain: ChatGPT, Ideation, Verification And Validation, Data Presentation, Generative AI, Document Management, Image Analysis, Data Capture, Artificial Intelligence, OpenAI, Data Analysis, Organizational Skills, Risk Management Framework, Computer Vision, Productivity Software, Microsoft Excel, Creative Thinking, Creativity, Data Ethics, Natural Language Processing
4.8
Rating, 4.8 out of 5 stars
6.1K reviews
Beginner · Specialization · 3 - 6 Months
Status: Free
DeepLearning.AI
ChatGPT Prompt Engineering for Developers
Skills you'll gain: ChatGPT, OpenAI, Generative AI, Application Programming Interface (API), Natural Language Processing, Jupyter
4.7
Rating, 4.7 out of 5 stars
1.5K reviews
Beginner · Project · Less Than 2 Hours
Arizona State University
Arizona State University TESOL
Skills you'll gain: Lesson Planning, Peer Review, Teaching, Pedagogy, Literacy, Curriculum Planning, Instructing, Learning Strategies, Instructional Strategies, Motivational Skills, Educational Materials, Grammar, Learning Styles, Technology Strategies, Technology Roadmaps, Performance Review, Design Elements And Principles, Design Strategies, Vocabulary, Language Learning
4.9
Rating, 4.9 out of 5 stars
21K reviews
Beginner · Professional Certificate · 3 - 6 Months
Status: New
Whizlabs
NVIDIA: Large Language Models and Generative AI Deployment
Skills you'll gain: Generative AI, PyTorch (Machine Learning Library), Natural Language Processing, Deep Learning, MLOps (Machine Learning Operations), Application Deployment, Tensorflow, Artificial Intelligence, System Monitoring, Data Cleansing, Machine Learning, Data Processing, Reinforcement Learning
Intermediate · Course · 1 - 4 Weeks
University of Michigan
Python for Everybody
Skills you'll gain: Web Scraping, Data Processing, Relational Databases, JSON, Database Design, SQL, Network Protocols, Databases, Web Services, Restful API, Programming Principles, Data Cleansing, Data Structures, Data Storytelling, Data Collection, Computer Programming, Python Programming, Data Manipulation, Development Environment, Computational Thinking
Build toward a degree
4.8
Rating, 4.8 out of 5 stars
277K reviews
Beginner · Specialization · 3 - 6 Months
Status: Free
DeepLearning.AI
Large Language Models with Semantic Search
Skills you'll gain: Data Processing, Big Data, Semantic Web, Natural Language Processing, Text Mining, Information Architecture, Web Analytics and SEO, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence
Beginner · Project · Less Than 2 Hours
DeepLearning.AI
Sequence Models
Skills you'll gain: Natural Language Processing, Artificial Neural Networks, Tensorflow, Artificial Intelligence and Machine Learning (AI/ML), PyTorch (Machine Learning Library), Deep Learning, Applied Machine Learning, Text Mining, Machine Learning
4.8
Rating, 4.8 out of 5 stars
31K reviews
Intermediate · Course · 1 - 4 Weeks
Status: New
H2O.ai
H2O ai Large Language Models (LLMs) - Level 3
Skills you'll gain: Generative AI, OpenAI, ChatGPT, Applied Machine Learning, Predictive Modeling, Benchmarking, Artificial Intelligence, Natural Language Processing
Advanced · Course · 1 - 3 Months