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⚡️ 8 free courses to master large language models:

1- LLM University

The course provides an understanding of how LLM work, their practical applications, and guides students in using LLMs to build and deploy applications.
https://docs.cohere.com/docs/llmu

2- hugging face NLP course

This course provides comprehensive knowledge of Hugging Face transformers, datasets, tokenizers, and the Accelerate tool in the field of Natural Language Processing (NLP).
https://huggingface.co/learn/nlp-course/chapter1/1

3- DeepLearningAI

A collection of free courses created in collaboration with many companies such as LangChain, OpenAI, Google, Weights & Biases, Microsoft and others.
https://www.deeplearning.ai/short-courses/

4- Weights_biases course

This course shows how to create LLM-based applications using API, Langchain и W&B Prompts . He talks about developing, experimenting, and evaluating LLM-oriented applications.
https://www.wandb.courses/courses/building-llm-powered-apps

5- Introduction to LLMs course by google cloud

An introductory level course covering what LLMs are, their use cases, and how to improve LLM performance using prompt tuning
https://www.cloudskillsboost.google/course_templates/539

6- Databricks courses

The program includes two courses: " LLMs: Application through Production " and " LLMs: Foundation Models from the Ground Up "
https://www.databricks.com/blog/enroll-our-new-expert-led-large-language-models-llms-courses-edx

7- Course "LangChain & Vector Databases in Production" from activeloopai, towards_AI and Intel

The three-course series will provide students with the knowledge and skills to learn, fine-tune, and integrate LLM into production.
https://learn.activeloop.ai/courses/langchain

8- LLM Bootcamp

Covers topics such as Prompt Engineering, LLMOps, UX for language user interfaces, augmented language models, rapid LLM application development, future trends in LLM, fundamental concepts and walkthrough of askFSDL.
https://fullstackdeeplearning.com/llm-bootcamp/

https://www.tgoop.com/CodeProgrammer

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⚡️ 8 free courses to master large language models:

1- LLM University

The course provides an understanding of how LLM work, their practical applications, and guides students in using LLMs to build and deploy applications.
https://docs.cohere.com/docs/llmu

2- hugging face NLP course

This course provides comprehensive knowledge of Hugging Face transformers, datasets, tokenizers, and the Accelerate tool in the field of Natural Language Processing (NLP).
https://huggingface.co/learn/nlp-course/chapter1/1

3- DeepLearningAI

A collection of free courses created in collaboration with many companies such as LangChain, OpenAI, Google, Weights & Biases, Microsoft and others.
https://www.deeplearning.ai/short-courses/

4- Weights_biases course

This course shows how to create LLM-based applications using API, Langchain и W&B Prompts . He talks about developing, experimenting, and evaluating LLM-oriented applications.
https://www.wandb.courses/courses/building-llm-powered-apps

5- Introduction to LLMs course by google cloud

An introductory level course covering what LLMs are, their use cases, and how to improve LLM performance using prompt tuning
https://www.cloudskillsboost.google/course_templates/539

6- Databricks courses

The program includes two courses: " LLMs: Application through Production " and " LLMs: Foundation Models from the Ground Up "
https://www.databricks.com/blog/enroll-our-new-expert-led-large-language-models-llms-courses-edx

7- Course "LangChain & Vector Databases in Production" from activeloopai, towards_AI and Intel

The three-course series will provide students with the knowledge and skills to learn, fine-tune, and integrate LLM into production.
https://learn.activeloop.ai/courses/langchain

8- LLM Bootcamp

Covers topics such as Prompt Engineering, LLMOps, UX for language user interfaces, augmented language models, rapid LLM application development, future trends in LLM, fundamental concepts and walkthrough of askFSDL.
https://fullstackdeeplearning.com/llm-bootcamp/

https://www.tgoop.com/CodeProgrammer

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