Beginners Guide to Langchain
Discover the Langchain platform and learn how to build and deploy language models using its powerful tools and APIs. Explore custom training, fine-tuning, and deployment options.
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An outline of this training course
This introductory course provides a comprehensive overview of Langchain, empowering beginners with the essential knowledge to navigate the world of language models. Learn to utilize large language models effectively, explore various tools and techniques, leverage your own data for enhanced performance, engage in dynamic conversations with your data, create captivating visuals using the model's capabilities, and master the art of generating insightful reports. Unlock the potential of Langchain and embark on your journey towards proficiency in natural language processing.
What are needed to take this course
Prerequisites for this course include a foundational understanding of natural language processing (NLP) concepts. Students should be familiar with the basics of NLP and have a grasp of key terminology and techniques. Additionally, a solid understanding of programming fundamentals is essential, preferably in a language commonly used for NLP tasks such as Python. Knowledge of machine learning concepts, including supervised and unsupervised learning, is also important for comprehending the underlying principles of language models.
Who is the course for
This course is designed for individuals who are looking to gain practical knowledge and skills in utilizing language models for various NLP tasks.
Details of what you will learn during this course
By the end of this course, you will:
- Understand the fundamentals of using large language models effectively.
- Explore essential tools and techniques for working with Langchain.
- Learn how to utilize your own data to enhance model performance.
- Engage in dynamic conversations and interactions with your data.
- Create compelling visuals using Langchain's capabilities for data visualization.
What you get with the course
- A 1+hour self-paced video training
Field(s) of Study
Computer Software & App
Instruction Delivery Method
***This course was published in June 2023
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