Events

Model Deployment is a critical phase in the machine learning pipeline where a developed model is made available in a production environment, enabling it to generate real-world predictions. The value of machine learning can only be actualized when a model is successfully deployed and integrated into a product or service.

In this workshop, you'll delve into the process of deploying a machine learning model onto a web application using Flask, a leading Python web framework. By the end of the session, you'll have a firm grasp of the deployment process and be well-prepared

The workshop is organized into distinct segments as follows:

 Kick-start your Flask journey by creating your first web app.

: Learn to add forms to your web app and understand how to use Jinja for efficient template management.

: Step-by-step guidance on deploying your pre-trained machine learning model on a local Flask server.

: Once your model is deployed locally, learn the ins and outs of making it accessible online.

: Lastly, discover how to use CSS to enhance the look and feel of your webpage.

The workshop's speaker is a B.Tech grad from Kolkata, skilled in programming and data science. He started coding 7 years ago in languages like C, Java, Python, and JavaScript. Three years ago, he shifted to Data Science, after improving his problem-solving skills through competitions on platforms like Codechef, Hackerrank, and Leetcode. He attended multiple ML and Coding workshops/hackathons  Now, for two years, he's been a dedicated data science teacher, guiding others in the exciting fields of Machine Learning and Data Science

Workshop on Machine Learning Model Deployment

Ever wondered how ChatGPT is integrated into the tools we use everyday? 

Learn what goes into building a ChatGPT powered application from someone who has done it himself. Understanding how this high-power high-output tool works will give you a better understanding of what it takes to create great AI-powered products for the future. 

As you build your Tech career, it's important to get a bird's eye view of the latest developments and happenings - especially when there is so much happening! See you Live with Aakash!

2. Experimentation with OpenAI Playground

3. Integrating ChatGPT into a web application

4. Example use cases and prompt engineering

5. Deploying your application to the cloud

Aakash is the CEO and co-founder of Jovian. He holds a degree in Computer Science and Mathematics from IIT Bombay. Aakash has worked as a software engineer at Twitter, Ireland & San Francisco. He was a world finalist at ACM ICPC, the olympics of programming. Courses taught by Aakash have over 5 million views on YouTube.

Building AI-Powered Applications with ChatGPT | Live Workshop

The talk will delve into how TensorFlow can be used for Computer Vision tasks like image classification, object detection, and segmentation. The basics of Convolutional Neural Networks (CNN) will also be covered. Additionally, the talk will showcase real-world applications of computer vision in various industries such as healthcare, autonomous driving, etc.

Nitin Tiwari (Google Developer Expert - Machine Learning)

An avid learner of ML who loves to understand how tech works; I have worked with Machine Learning and Computer Vision since 2019 when I first worked as an intern for an AI-based startup during my college days. Since then, my journey in AI/ML began where I have used Machine Learning to solve a variety of environmental, business, and other domain problems. From building a pose classifier application for controlling video games to building a platform for visual data extraction from dashboards for automating data pipelines in businesses, I have had the opportunity to apply my skills to create some exciting things. I love to explore TensorFlow and share my knowledge and new findings through community talks, lectures, blog posts, and projects on GitHub repositories. I also mentor students and aspiring ML enthusiasts to get started with their journey in Machine Learning.