LangChain MasterClass- OpenAI LLAMA 2 LLM AI Apps|| Gen AI
Build AI apps with LangChain, OpenAI, Llama 2 & more! Learn generative AI & vector databases (Pinecone). Practical LLM development. Hugging Face course.
Course Content
LangChain MasterClass- OpenAI LLAMA 2 LLM AI Apps|| Gen AI is an all-levels Udemy course taught by Sharath Raju. It runs 9h 48m, is taught in English, and includes a certificate of completion. Learners rate it 4.3 out of 5 from 1,256 reviews, with 8,294 students enrolled. It is a paid course, last updated September 2025.
Unlock the Power of AI with LangChain: Build Revolutionary Language Applications
Ready to harness the transformative potential of artificial intelligence and create cutting-edge language-based applications? This comprehensive course will guide you from beginner to expert in LangChain – the leading open-source framework for building powerful AI applications. Learn to integrate Large Language Models (LLMs) like GPT-4 and Google Gemini Pro with external data sources to develop scalable and high-performance AI solutions.
Dive into hands-on projects and master key LangChain components:
- LLM Wrappers: Effectively utilize various LLMs for diverse tasks.
- Chains: Orchestrate complex workflows with sequential operations.
- Agents: Empower your applications with autonomous decision-making capabilities.
- Embeddings & Vector Databases: Learn to leverage Pinecone for efficient semantic search and retrieval.
- Data Connections: Connect your applications to a wide range of data sources.
- Memory: Implement context and state management for conversational AI.
Project Highlights:
- Question-Answering Application: Build a dynamic question-answering system using LangChain, OpenAI, Hugging Face Spaces, and Google Gemini Pro.
- Conversational Bot Development: Create an engaging conversational bot with LangChain and OpenAI for interactive user experiences.
- AI App for Children: Develop an educational AI app that helps children discover related objects and fosters learning.
- Marketing Campaign App: Build a marketing campaign app leveraging persuasive sales copy generation for increased brand reach and sales.
- ChatGPT Clone with Summarization: Develop a versatile ChatGPT clone with an added summarization feature.
- MCQ Quiz Creator App: Effortlessly generate multiple-choice quizzes for students using LangChain and Pinecone.
- CSV Data Analysis Tool: Analyze CSV data by querying the data using natural language.
- YouTube Script Writing Tool: Create compelling YouTube scripts quickly and easily.
- Website Support Chatbot: Implement a support chatbot to help website visitors find relevant information.
- Automatic Ticket Classification Tool: Automate support ticket classification for streamlined ticket management.
- HR Resume Screening Assistance: Utilize AI for resume screening to optimize the hiring process.
- Email Generator using LLAMA 2: Automate email generation for personalized messaging.
- Invoice Extraction Bot using LLAMA 2: Extract key details from invoices with AI-powered accuracy.
Course Content:
This course explores the capabilities of LangChain, an open-source framework combining LLMs (including GPT-4 and Google Gemini Pro) with external data sources. You'll gain expertise in LLM integration, Chains, Agents, Embeddings, Vector Databases (with a focus on Pinecone), and Data Connections. We'll use Python and Streamlit to build modern web app front-ends.
Course Highlights:
- Master LangChain, LLMs, Google Gemini Pro, Chat Models, Prompts, Indexes, Data Connections, Chains, Agents, and Memory.
- Develop robust AI applications by integrating cognitive and information sources with Pinecone.
- Explore innovative possibilities with LangChain and Google Gemini Pro for Pinecone-powered applications.
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