ML Club

### August Online Session: End-to-End ML Model Deployment (FastAPI & Streamlit)

💡 You've built a great ML model—now what? Learn how to deploy it for real-world use!
Building an ML model is just the first step. To make an impact, you need to deploy it so others can use it! In this hands-on session, we’ll explore FastAPI and Streamlit, two powerful Python frameworks for deploying machine learning models as APIs and interactive web applications.

### What You’ll Learn:

✅ Setting up an ML model API using FastAPI
✅ Deploying an interactive ML app with Streamlit
✅ Handling user inputs and making real-time predictions
✅ Connecting frontend interfaces with ML models
✅ Best practices for model deployment and scaling

### Who Should Attend?

📊 Data Scientists & ML Engineers who want to deploy models in production
💻 Developers looking to integrate ML into web applications
🚀 Anyone interested in MLOps and real-world AI applications
📌 Prerequisites: Basic Python & machine learning knowledge

📅 Date: 12 August 2025
🕕 Time: 1800 London
🌍 Where: Online (Link provided upon registration)

🔗 Register Now & Learn How to Deploy Your ML Models Like a Pro!
#MachineLearning #ModelDeployment #FastAPI #Streamlit #MLOps #MLClub #DataScience

### September Online Session: LLMOps with Optik – Managing Large Language Models in Production

💡 Building powerful LLMs is one thing—operationalizing them is another! Learn how to deploy and manage Large Language Models efficiently.

With the rise of Large Language Models (LLMs), organizations face new challenges in deployment, monitoring, and optimization. In this hands-on session, we’ll explore LLMOps—the best practices for deploying, managing, and maintaining LLMs in production using Optik.

### What You’ll Learn:

✅ What is LLMOps, and why does it matter?
✅ Introduction to Optik for LLM model optimization
✅ Deploying LLMs efficiently in cloud & edge environments
✅ Monitoring model performance & ensuring reliability
✅ Handling real-world challenges like drift, latency & scaling

### Who Should Attend?

🚀 ML Engineers & Data Scientists working with LLMs
🔍 MLOps & DevOps Professionals interested in LLM deployment
📊 AI Enthusiasts & Researchers exploring LLM applications
📌 Prerequisites: Basic knowledge of machine learning & deep learning

📅 Date: 9th September 2025
🕕 Time: 1800 London
🌍 Where: Online (Link provided upon registration)

🔗 Register Now & Master LLMOps for Scalable AI Solutions!
#LLMOps #Optik #LargeLanguageModels #MachineLearning #MLOps #MLClub #AI