Unleash the power of AI at Multicloud4u Technology's exclusive event "Building Production-Ready AI Apps with Llama Hugging Face and Python" on October 31 2025. Hosted online at 9:00 PM this immersive workshop led by renowned speaker Dr. Abhishek Mishra is a must-attend for tech enthusiasts.

Join us for an intensive hands-on workshop where you'll learn the complete workflow for developing real-world Artificial Intelligence applications using the state-of-the-art Llama model the Hugging Face ecosystem and Python.

Large Language Models (LLMs) like Llama have revolutionized AI development and the Hugging Face platform provides the essential tools to deploy them effectivel... Show more

What You Will Learn (Key Takeaways)

Mastering the Hugging Face Ecosystem: Learn to navigate the Hugging Face Hub and utilize the transformers library PEFT (Parameter-Efficient Fine-Tuning) and Inference Endpoints for efficient model deployment.

Integrating Llama: Understand how to load and use various Llama model versions (e.g. Llama 3) for text generation classification and advanced reasoning tasks.

Performance and Optimization: Explore techniques like quantization Grouped-Query Attention (GQA) and efficient inference to ensure your Llama-powered app runs fast and cost-effectively.

Who Should Attend

This workshop is ideal for:

Python Developers looking to pivot into AI/ML.

Data Scientists and ML Engineers seeking hands-on experience with Llama and the Hugging Face stack.

Tech Leads and Architects evaluating open-source LLMs for product integration.

Learn the basics of LLMs Architecture like Transformers.

Explore Opensource LLMs from Hugging Face

Mastering the Hugging Face Ecosystem: Learn to navigate the Hugging Face Hub and utilize the transformers library and Inference Endpoints for efficient model deployment.

Integrating Llama: Understand how to load and use various Llama model versions (e.g. Llama 3) for text generation classification and advanced reasoning tasks.

Developing & Deploying the App: Build a functional interactive demo using Python libraries like Flask and prepare your application for deployment to Azure.

Prerequisites

Attendees should have intermediate proficiency in Python and a basic understanding of Machine Learning/Deep Learning concepts. A laptop with internet access will be required for the hands-on coding exercises.