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Learn about beginner-friendly end-to-end AI projects like Langchain, Pinecone, OpenAI, HuggingFace, and LLAMA 2 models.

This course covers:

The Master LangChain course on building AI apps is a comprehensive instructional program for learning the latest and most popular AI technologies, such as OpenAI, LLAMA2 and HuggingFace. It comes with 9.5 hours of on-demand video that covers an array of topics from basic concepts to advanced implementations. There are also 31 articles and 24 downloadable resources to supplement the video content so that learners can get a comprehensive understanding of the technologies.

What you'll learn

Develop AI apps with OpenAI, LLAMA2 and HuggingFace

Learn to integrate ML models with OpenAI API’s

Understand the different components of a Langchain based AI application such as data ingesting, pre-processing, model selection and deployment.

Gain knowledge on Natural Language Processing (NLP) techniques such as tokenization, stemming, lemmatization and vectorization.

This course is ideal for learners who are interested in developing AI applications with the latest technologies. Those who have basic knowledge of AI and machine learning can use this course to advance their skillset with the help of projects and tutorials. After completing this course, learners will be able to create their own Langchain based AI applications using OpenAI, LLAMA2 and HuggingFace.

About the author

Are you interested in utilizing AI to develop innovative language-based applications?

LangChain is a comprehensive course that can help you become an expert from a beginner in a short period of time.

By using AI applications powered with state-of-the-art LLM models like OpenAI and Hugging Face in Python, you can take part in a project-based learning journey.

LangChain provides the necessary skills and knowledge to develop innovative LLM solutions for a variety of problems.

Here are some of the projects that will be worked on:

Project 1 aims to create a question-answering application by combining the capabilities of LangChain, OpenAI, and Hugging Face Spaces.

Project 2 involves the development of a conversational bot using LangChain and OpenAI to deliver an interactive user experience.

Project 3 aims to develop an AI-powered app designed for children, which will assist in the exploration of interconnected categories of objects and promote educational development.

Project 4 involves creating a marketing campaign app that utilizes persuasive sales copy to increase sales and brand exposure.

Project 5 involves the development of a ChatGPT clone with an added summarization feature, providing a versatile and valuable chatbot experience.

You can easily create multiple-choice quizzes for your students using LangChain and Pinecone.

Project 7 is a CSV data analysis tool that assists in analyzing CSV files by providing answers to queries about the data.

Project 8 Introducing Project 8: Youtube Script Writing Tool - A user-friendly and efficient tool designed to effortlessly create compelling YouTube scripts.

Project 9 is a support chat bot for your website that assists your visitors and customers in finding relevant data or blog links that may be useful to them.

Project 10 The Automatic Ticket Classification Tool categorizes support tickets based on their content, which helps to streamline ticket management and response processes.

Project 11 is an HR project that utilizes AI to assist in resume screening, optimizing the hiring process through smart analysis and recommendations.

Project 12 The Email Generator is a tool that generates customized emails, which can help save time and effort in creating personalized messages.

Project 13 is an invoice extraction bot that utilizes LLAMA 2, an AI-powered tool, to accurately and efficiently extract key details from invoices. Improve efficiency in your data entry process.

This course aims to provide a comprehensive understanding of LangChain, starting from the fundamentals and advancing towards the creation of practical LLM-powered applications.

LangChain enables programmers to effectively utilize large language models, such as ChatGPT, pinecone, LLAMA 2, and Huggingface, and seamlessly integrate them with external data sources. This integration improves the models' capacity to understand and reply to human language.

LangChain is built with Python and offers a user-friendly interface that is designed for beginners, making it accessible to aspiring developers.

Overview:

The goal is to develop advanced language-based applications.

LangChain is a suitable library for you.

Expand your strategies beyond simple techniques like keyword matching or rule-based systems to optimize your reach with langchain.

Utilize the capabilities of LLMs, LangChain applications, and incorporate them with cognitive or information sources and pinecone.

Discover the vast potential and explore new opportunities with applications using LangChain and Pinecone.

The course includes LangChain, LLMs, Chat Models, Indexes, Prompts, Chains, Memory, and Agents.

This course offers both theoretical knowledge and practical experience. Students will participate in practical activities and real-world projects to strengthen their understanding of these concepts and techniques.

By the end of the course, students will have the necessary skills to effectively apply Langchain and build robust, powerful, and scalable LLM applications for various purposes.

Take advantage of this opportunity to become a language model expert.

You can enroll in the LangChain course to enhance your AI app development skills and experience a transformative journey. LangChain, OpenAI, ChatGPT, LLM, langchain pinecone, LLAMA 2, and HuggingfacePython are tools that can enable the creation of advanced AI applications that push the limits of what is achievable.

Prepare to unleash your complete potential and become a proficient developer in the field of language-based AI through langchain.

Practical activities and real-world projects are incorporated throughout the applications using LangChain pinecone course to enhance understanding of the concepts and techniques.

By the end of the course, you will have the ability to effectively apply Langchain pinecone to build LLM applications that are strong, effective, and scalable for various purposes.

Requirements

If you are an AI enthusiast looking to get started with Master LangChain, there are a few requirements you will need to meet. Firstly, you should have a basic understanding of Python programming. This is important as Master LangChain utilizes Python for its core functionality. Additionally, having knowledge of OpenAI, LLAMA2 and HuggingFace libraries would be beneficial. These libraries provide powerful tools for creating AI applications. Finally, you should be familiar with AI concepts such as natural language processing and machine learning.

By enrolling in this course, you will gain insight into the workings of LangChain and be able to create powerful AI applications using LLMs, pinecone, OpenAI, LLAMA2 and HuggingFace. This course will provide an excellent platform for taking your skills to the next level and establishing yourself as an AI expert.

This course is intended for:

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