LangChain MasterClass: Build 15 LLM Apps with Python

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LangChain MasterClass: Build 15 LLM Apps with Python

Coursera · Intermediate ·🧠 Large Language Models ·3mo ago

Key Takeaways

Builds 15 LLM apps with Python using LangChain and large language models

Original Description

This course features Coursera Coach! A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course. Unlock the power of LangChain and large language models (LLMs) to create innovative applications. In this course, you'll learn to develop 15 real-world applications that integrate LLMs using Python, giving you hands-on experience with tools like OpenAI, Hugging Face, and LLAMA 2. You will start by understanding the fundamentals of LangChain and gradually move towards building sophisticated applications like chatbots, data analysis tools, resume screening apps, and more. The course is structured around practical projects that introduce key concepts in sequential modules. You'll explore topics like memory management, text embeddings, prompt engineering, and chain concepts. With each project, you'll master a unique feature of LangChain, such as implementing question-answering systems, conversational agents, and data processing tasks. By the end of the course, you'll have built a diverse portfolio of applications, including a support chatbot, invoice extraction bot, and a YouTube script generator. Whether you're looking to enhance your AI skills or jumpstart your career in AI development, this course will provide the tools, knowledge, and practical experience you need. This course is ideal for developers, data scientists, and AI enthusiasts looking to dive deeper into building language model-powered applications. It is suitable for those with a basic understanding of Python, and no prior experience with LangChain is necessary.
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