Large Language Models (LLMs) have undoubtedly emerged as a significant breakthrough in artificial intelligence in recent years. It is demonstrating exceptional proficiency in comprehending and generating human-like writing. Understanding the fundamentals, practical intricacies and applications of LLMs may appear intimidating to several individuals yet, this essay blog aims to assist. Continue reading to discover 8 Free Courses to Master Large Language Models!
Several reputable platforms offer comprehensive courses on LLMs. Here are some notable options:
AI for Educators by Microsoft
Microsoft designs this educational path that lasts for four hours in order to explore the most important AI trends in the field of education. There is a significant emphasis build on Large Language Models (LLMs) throughout the entirety of the course curriculum.
Some of the topics that are covered include an introduction to the Generative AI models that serve as the basis for LLMs, rapid engineering, and ethical AI practices.
An introduction that is fair and suitable for data scientists, engineers working with artificial intelligence and machine learning, and regular users who are interested in learning more about LLMs and how they might improve day-to-day tasks. This is one of the courses from 8 Free Courses to Master Large Language Models.
Anthropic Prompt Engineering Courses
Prompt engineering is undoubtedly the most important ability for end users of LLMs to enhance daily tasks and applications. This is a collection of five brief asynchronous courses organize in a GitHub repository, to master prompt engineering skills utilizing the Claude AI tool via its API.
Key themes include prompt engineering, real-world prompting, and prompt evaluations, alongside tutorials utilizing cloud platforms such as AWS and Google Cloud.
Cohere’s LLM University
Individuals who are interested in delving deeper into the technical aspects of LLMs may find this collection of information at LLM University to be a good alternative to consider.
However, a result of its exploration of text generation and representation, semantic search engines, Retrieval Augmented Generation (RAG), and other topics, it is an intriguing alternative to consider after finishing the other starting courses that are described in this article.
The final section of the course dedicates to analyzing how the knowledge and skills gain in Amazon Web Services. This is one of the courses from 8 Free Courses to Master Large Language Models.
Generative AI with Large Language Models by DeepLearning
This course provides students with an in-depth examination of the fundamentals of generative artificial intelligence, with a particular focus on large language models (LLMs).
This course includes the collecting of data, the selection of models, the architecture of transformers, and the applications of deployment strategies. It can be access through Coursera and consists of practical projects that designs to improve comprehension.
Introduction to Large Language Models by Google
This course aims for LLM applications as well as those who shows interest in a moderate introduction to the technology that underpins these models. It is a free course that blends the fundamentals of rapid engineering with the foundations of LLM.
This course is perfect for individuals who are new to LLMs and want to begin with knowledge that is simple to comprehend before moving on to more in-depth resources. It does this by providing a 30-minute learning experience.
Large Language Models Course by Mistral AI
The LLM Fundamentals, LLM Scientist and LLM Engineer are the three sections that make up this course, on GitHub.
This course covers fundamental information regarding mathematics, Python, neural networks. Also covers construction of LLMs utilizing the approaches and the development of applications that are based on LLMs. This is one of the courses from 8 Free Courses to Master Large Language Models.
Large Language Model Agents
This course, taught together by UC Berkeley and Google DeepMind, addresses the fundamentals of LLMs. This course provides an in-depth examination of agent-based development for LLM applications. Lectures occur synchronously on specific dates, however registration for next sessions is available at any moment during periodic openings.
The course provides a certificate of completion upon the submission and successful passing of an assignment.
Large Language Models Specialization by H2O.ai
Learners are provided with a solid basis and advanced competencies in natural language processing through this Coursera specialization. This specialty covers LLM foundations, data preparation, fine-tuning, and complex techniques throughout the course.
Students gain hands-on experience with H2O.ai instruments such as LLM DataStudio, h2oGPT and EvalGPT through their participation in the course.
Conclusion
This article provides 8 Free Courses to Master Large Language Models. It is encompassing beginning principles suitable for everybody and intermediate subjects. It is of more technical nature long with pertinent end-user themes such as rapid engineering. By integrating multiple courses, you will get a substantial foundation in this captivating domain of AI.
