Build and Deploy Projects with Streamlit Cloud

Hosted by Siddarth Ranganathan

347 students

What you'll learn

Best Practices and Setting up

Learn the essential tips and techniques for seamless and effective cloud deployment.

Deploy End-to-End Data Science Projects

Master the process of turning your models into fully functional, cloud-hosted applications.

Showcasing Your Work

Understand how to share your deployed projects and build a professional portfolio that stands out.

Why this topic matters

Deploying projects in the cloud is crucial for Data Scientists to build a strong portfolio. It enables them to showcase work as interactive, accessible applications for stakeholders and recruiters. By bridging the gap between model development and real-world usability, cloud deployment highlights their ability to deliver end-to-end solutions, enhancing professional credibility.

You'll learn from

Siddarth Ranganathan

Principal Data Science Manager at Microsoft

Siddarth brings 20 years of experience spanning Healthcare, eCommerce, and Tech. He currently leads a team of 20 data scientists and engineers, driving high-impact initiatives for Azure, delivering scalable solutions and measurable outcomes.

Go deeper with a course

AI-ML Projects for Data Professionals
Manisha Arora and Siddarth Ranganathan
© 2025 Maven Learning, Inc.