LangChain on Azure - Building Scalable LLM Applications

🌟 Course Title: LangChain on Azure - Building Scalable LLM Applications

📚 Course Headline: Navigating the Azure Landscape: A Pathway from Basic AI Applications to Scalable Microservices

🚀 Course Description:

Embark on a transformative learning journey with our course, "LangChain on Azure - Building Scalable LLM Applications." This is not just another online course; it's a deep dive into the world of Azure services and Large Language Models (LLMs), designed to elevate your skills from basic AI applications to robust, scalable microservices.

🛠️ Setting the Foundation:

• Azure Account Configuration: Get started with setting up your Azure account structures and organizing your resources efficiently into resource groups.
• Azure Blob Storage Management: Master the practical aspects of handling and storing large amounts of unstructured data using Azure Blob Storage.

🔍 Exploring Vector Stores:

• Understanding Different Options: Explore and compare Azure Cognitive Search, PgVector, and other vector stores to determine their suitability for your applications.
• Data Embedding and Insertion: Learn the intricacies of chunking raw data, embedding it, and inserting it into a vector store.
• Retrieval Augmented Generation (RAG) Process: Perform RAG processes on vector stores using Jupyter notebooks to enhance your application's capabilities.

🏭 From Local Development to Cloud Deployment:

• Docker and Docker-compose: Transition from Jupyter notebooks to setting up services locally with docker-compose, gaining insights into how these services operate.
• Cloud Services Deep Dive: Understand the deployment process for services like Container Registry and App Service in the cloud.

📱 Implementing Event-Driven Indexing:

• Document Indexing: Implement an event-driven indexing process with Blob Triggers, the Event Grid, and Azure Functions to dynamically index documents as they are updated in Blob Storage.

🔒 Security Best Practices:

• Firewall Setup for Databases: Secure your application by setting up a firewall for your database.
• IP-based Access Restrictions: Ensure your application's security with IP-based access restrictions for robust protection against unauthorized access.

🤝 Target Audience: This course is meticulously designed for individuals with foundational knowledge of Python, Docker, and LangChain. If you're aiming to build real applications with a production-grade architecture beyond the scope of simple playground apps with Streamlit, this course will provide you with the necessary tools and insights.

💡 Why Enroll?

• Practical Azure Knowledge: Gain hands-on experience with Azure services that are essential for building scalable LLM applications.
• Real-World Skills: Transition from theory to practice by working on real-world projects that mirror the challenges and solutions encountered in professional environments.
• Scalability Focus: Learn how to build applications that scale, handling a growing number of requests and data with ease.
• Community Engagement: Join a community of like-minded learners and professionals who are passionate about AI and Azure technologies.

Enroll now and unlock the potential of Azure for your LLM projects! 🌟