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

IBM
Building Generative AI-Powered Applications with Python
Skills you'll gain: Generative AI, Web Applications, IBM Cloud, Python Programming, OpenAI, Serverless Computing, Cloud Applications, Front-End Web Development, Application Development, Artificial Intelligence, Natural Language Processing, Back-End Web Development
4.7
Rating, 4.7 out of 5 stars
126 reviews
Intermediate · Course · 1 - 3 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
1.4K reviews
Beginner · Project · Less Than 2 Hours
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
573 reviews
Beginner · Project · Less Than 2 Hours
IBM
Generative AI and LLMs: Architecture and Data Preparation
Skills you'll gain: Generative AI, PyTorch (Machine Learning Library), Natural Language Processing, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Deep Learning, Jupyter, Data Processing, Machine Learning
4.7
Rating, 4.7 out of 5 stars
151 reviews
Intermediate · Course · 1 - 4 Weeks
IBM
Generative AI: Foundation Models and Platforms
Skills you'll gain: Generative AI, OpenAI, IBM Cloud, Tensorflow, Artificial Intelligence, Artificial Neural Networks, PyTorch (Machine Learning Library), Deep Learning, Natural Language Processing, Machine Learning, Open Source Technology
4.7
Rating, 4.7 out of 5 stars
173 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, Creative Thinking, Creativity, Artificial Intelligence, Risk Management Framework, OpenAI, Productivity Software, Microsoft Excel, Data Ethics, Data Analysis, Information Management, Creative Problem-Solving, Natural Language Processing, Data Transformation, Technical Communication
4.8
Rating, 4.8 out of 5 stars
5.7K reviews
Beginner · Specialization · 1 - 3 Months
Vanderbilt University
Prompt Engineering for ChatGPT
Skills you'll gain: ChatGPT, Generative AI, Artificial Intelligence, Creative Thinking, Creative Problem-Solving, Natural Language Processing, Problem Solving, Application Development, Communication
4.8
Rating, 4.8 out of 5 stars
5.1K reviews
Beginner · Course · 1 - 3 Months
Vanderbilt University
Generative AI Automation
Skills you'll gain: ChatGPT, Ideation, Verification And Validation, Data Presentation, Generative AI, Document Management, Creative Thinking, Creativity, Image Analysis, Data Capture, Artificial Intelligence, OpenAI, Data Analysis, Organizational Skills, Risk Management Framework, Computer Vision, Productivity Software, Microsoft Excel, Data Storytelling, Creative Problem-Solving
4.8
Rating, 4.8 out of 5 stars
5.8K reviews
Beginner · Specialization · 3 - 6 Months
Stanford University
Probabilistic Graphical Models
Skills you'll gain: Bayesian Network, Applied Machine Learning, Graph Theory, Machine Learning Algorithms, Probability Distribution, Statistical Modeling, Markov Model, Decision Support Systems, Machine Learning, Predictive Modeling, Network Model, Probability & Statistics, Network Analysis, Statistical Inference, Statistical Machine Learning, Sampling (Statistics), Natural Language Processing, Statistical Methods, Algorithms
4.6
Rating, 4.6 out of 5 stars
1.5K reviews
Advanced · Specialization · 3 - 6 Months
Status: Free
Coursera Instructor Network
Fine-tuning Language Models for Business Tasks
Skills you'll gain: ChatGPT, OpenAI, Generative AI, Forecasting, Business Solutions, Artificial Intelligence, Business Strategies, Natural Language Processing, Applied Machine Learning, Technology Roadmaps, Personalized Service
2.8
Rating, 2.8 out of 5 stars
10 reviews
Beginner · Course · 1 - 4 Weeks
Status: Free
DeepLearning.AI
LangChain for LLM Application Development
Skills you'll gain: OpenAI, Generative AI, Application Development, Application Frameworks, Natural Language Processing, Artificial Intelligence, Unstructured Data
4.7
Rating, 4.7 out of 5 stars
99 reviews
Beginner · Project · Less Than 2 Hours
IBM
Introduction to Artificial Intelligence (AI)
Skills you'll gain: Artificial Intelligence, Generative AI, Data Ethics, OpenAI, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Artificial Neural Networks, ChatGPT, Governance, Machine Learning, Business Transformation, Ethical Standards And Conduct, Computer Vision, Emerging Technologies, Natural Language Processing
4.7
Rating, 4.7 out of 5 stars
17K reviews
Beginner · Course · 1 - 4 Weeks