LLM Apps with Langchain
There has been an explosion in the use of Large Language Models (LLMs) in the last year with a new model being released almost every week. These LLMs have proved to be general reasoning engines capable of solving multiple types of problems from simple text summarization to complex code generation and even agentic workflows. Langchain has emerged as the most popular library to use when building LLM-powered applications and in this course, we will explore components like Langchain-Core, LangServe, and LangSmith to build, deploy, and track the performance of our apps. In the end, you will have a strong understanding of the challenges in building LLM apps and make use of the LangChain library to create LLM solutions.
Course taught by expert instructors
Sidharth Ramachandran
Senior Director, Knowledge Engineering
Sidharth is a Senior Director at one of the largest media companies in Europe where he is responsible for building data products for their streaming platform. He is also the co-author of “Blueprints for Text Analytics”, a technical book on NLP techniques published by O’Reilly. He has degrees in Engineering & Management and previously also built his own text automation startup that was featured on Techcrunch.
The course
Learn and apply skills with real-world projects.
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Accelerate your learning with projects that mirror the work done at industry-leading tech companies. Put your skills to the test and start applying them today.
Flexible schedule for busy professionals
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