LangChain Masterclass - Build 15 OpenAI and LLAMA 2 LLM Apps Using Python

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This comprehensive course unlocks the boundless potential of LangChain, Pinecone, OpenAI, and LLAMA 2 LLM, guiding you from AI novice to expert. Dive into 15 different practical projects, from dynamic chatbots to data analysis tools, and cultivate a profound understanding of AI, empowering your journey into the future of language-based applications.

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97 on-demand videos & exercises
Level: Beginner
9hrs 59mins
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What to know about this course

Unlock the boundless possibilities of AI and language-based applications with our LangChain Masterclass. In this comprehensive course, you will embark on a transformative journey through the realms of LangChain, Pinecone, OpenAI, and LLAMA 2 LLM, guided by experts in the field.

In this course, you will embark on a journey through a diverse range of projects designed to deepen your understanding and application of cutting-edge technologies. These hands-on endeavors encompass a broad spectrum of applications, from creating dynamic question-answering applications powered by LangChain, OpenAI, and Hugging Face Spaces, to developing engaging conversational bots that enhance user interactions. You will even venture into the realm of educational AI, crafting customized experiences for children. As you progress, you will build captivating marketing campaigns, explore the world of summarization-enriched chatbots, and streamline tasks such as multiple-choice quiz creation and CSV data analysis. Plus, you will discover how to optimize HR processes, simplify email customization, and extract vital invoice details. With projects spanning from text-to-SQL query assistance to customer care call summaries, this course equips you with a comprehensive toolkit for advancing your skills and revolutionizing various domains of AI and software development.

By the end of this course, you will not only have a strong grasp of LangChain’s capabilities but also a robust portfolio of AI applications that showcases your expertise.

Who's this course for?

This course is designed for individuals eager to explore the dynamic world of AI-powered language applications. If you are passionate about harnessing the potential of LangChain, Pinecone, OpenAI, and LLAMA 2 LLM, this course is your gateway to expertise.

Prerequisites are minimal, requiring only a basic understanding of programming and coding. A curious mind and enthusiasm for AI are your most valuable assets.

What you'll learn

  • Build AI-powered chatbots and applications with LangChain
  • Create dynamic question-answering systems and conversational bots
  • Implement automated marketing and customer support tools
  • Learn to streamline data analysis and CSV processing
  • Explore HR resume screening and email customization
  • Master invoice data extraction and SQL query tools

Key Features

  • Learn about embeddings and vector data stores to enhance LangChain performance
  • Work on 15 diverse projects, including question-answering apps, conversational bots, and more
  • Develop a solid understanding of LangChain components such as LLM wrappers, prompt templates, and memory

Course Curriculum

About the Author

Sharath Raju

Sharath Raju is a senior software engineer specialized in AI and robotics. It has been over eight years since he worked in software development, robotic process automation (RPA), and AI app implementation. He has implemented over 80 RPA processes using UiPath and Microsoft Power Automate and has also built several AI-powered apps using different technologies. It is so true that someone learns more efficiently by practicing the skill than just reading something. Having a passion to share his knowledge in these technologies, he has created several step-by-step and easy-to-digest courses. His goal is to help you get ready for the future by learning new technologies and to prepare you to become more productive by getting familiar with the relevant and useful resources. He is still learning and exploring his field of work, and therefore, he welcomes any valuable feedback.

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