5 courses to master LLMs

Large Language Model or LLM has become more popular recently thanks to products like ChatGPT and Google Gemini. Decades ago, people never knew what ai was capable of, and today, everyone is doing everything they can to catch up with the trends. If I look at the job board, many companies are now also looking for LLM skills as a prerequisite.

With the competitive advantage that LLMs provide, it is an idea that we should at least try to learn about them. Whether you are a beginner or a data professional, we must try to master LLMs to stand out.

In this article, I will discuss five courses that will help you master the LLM. What are these courses? Let's get into it.

First, we have the Full Stack LLM Intensive Course developed by fullstackdeeplearning.com. The website offers excellent self-paced deep learning courses, but we would focus on the LLM courses.

Since 2023, the company has held the Bootcamp in person, but also publishes all learning material in reading and video formats. The good thing about these courses is that you can start learning, regardless of your level of knowledge. However, you still expect to have some knowledge of machine learning, although the LLM is not necessary.

The course aims to help you get up to speed with state-of-the-art LLM and be ready to create and deploy LLM applications. To do this, the courses offer several topics:

• LLM Fundamentals
• Quick engineering
• LLMOps: Deployment and Learning in Production
• UX for language user interfaces
• Augmented language models

The course is easy to follow, so don't miss this free LLM Bootcamp course to master the LLM.

The next course is LLM University by Cohere. Cohere is a company specialized in LLM products and research development, letting you know what LLM is all about. The company has a big initiative to help people understand LLM by launching a free LLM university course.

LLM University offers courses on natural language processing and large language models. The course aims to enhance students' skills and strengthen the NLP foundation and practical approach to applying the LLM in real-world situations.

The courses cover several topics:

• NLP and ML Fundamentals
• Combining endpoints to create applications
• What are large language models?
• Representing text with Cohere endpoints
• Text generation with Cohere endpoints

The courses are suitable for both beginners and professionals as at the end of the course, you can launch production-ready LLM applications.

The third course that we have to master the LLM is the LLM Powered Application Building Course by weight and biases (WB). The company focuses on developing an end-to-end machine learning platform, one of which is the LLM application.

The course offers many self-administered video courses that you can follow to learn how to develop LLM applications. Theme includes:

• Introduction to LLM Application
• LLM API
• Building LLM Applications
• Optimize LLM Application

It is a more advanced course, so we are expected to know programming language and basic LLM knowledge. However, the course is easy enough to follow so that you can learn right away.

He ai/courses/langchain” rel=”noopener” target=”_blank”>LangChain and vector databases in production by activeloop is an advanced course to master LLM production applications. Instead of focusing solely on the LLM, this course will guide you to enhance the existing LLM so that it is ready for any customer-facing application.

To advance in the LLM industry, we must understand LangChain and Vector Databases, which are integral to the production of LLM applications. By taking this course, you will understand the following concepts:

• Introduction to LangChain and LLM
• Incitement
• Using vector databases
• Indexing organization
• Combining things with Chain

The courses are great if you already know the basics of LLM, but everyone can follow them, even if you are a beginner.

The last course is Large Language Models: Application to Production by data bricks. Databricks is a company that provides a business intelligence platform, including the creation and deployment of LLM applications. This course is an industry standard which would be good if you want to apply for an LLM job.

The course is intended for developers, data scientists, and engineers, but it is acceptable to follow even if you are not. Using popular frameworks and SOTA techniques such as HuggingFace, LangChain, Vector Database, Data Embedding and many others, you will learn advanced techniques for developing and producing LLM applications.

The courses will teach you many topics related to the LLM, including:

• Applications with LLM
• Embeddings, vector databases and search
• Reasoning in several stages
• LLM adjustment and evaluation
• Society and LLM: bias and safety
• LLMOps

By the end of the course, you'll be ready to create advanced LLM applications that companies will surely want to use.

This article discusses five courses designed to prepare the student to develop and produce LLM applications. Learn everything from this course and you will be prepared to apply for LLM jobs.

Cornellius Yudha Wijaya He is an assistant data science manager and data writer. While working full-time at Allianz Indonesia, she loves sharing Python tips and data through social media and print media.