Deploying machine learning models on the cloud is powerful, but presenting them through interactive dashboards takes it to the next level. With Streamlit, you can transform simple Python scripts into fully functional web apps—without needing frontend skills.
In this Masterclass, you’ll learn step-by-step how to build, enhance, and deploy ML dashboards using Streamlit. From capturing user input to hosting your app in the cloud, this session is your complete guide to making ML models accessible, engaging, and impactful.
What You’ll Learn:
Why Streamlit is perfect for ML dashboards & prototypes
Creating user interfaces for ML models with Python
Adding charts, sliders, text boxes, and real-time visualizations
Deploying apps locally & on the cloud
Best practices for performance & scalability
Why Learn with Imarticus Learning?
Expert-led sessions with real-world projects
Flexible learning paths for students & professionals
Career support: mock interviews, resume building, job portal
Proven success: 10,000+ career transitions, 52% avg. salary hike
Featured Programs:
Postgraduate Program in Data Science and Analytics (PGA) – 6 months, 100% job assurance, 25+ projects, tools like Python, Tableau & Power BI
Executive Postgraduate Program in Data Science and AI (EPGP-DSAI) – 11 months, designed for working professionals, 35+ projects, 2,500+ hiring partners
Start your journey in Data Science & AI with Imarticus Learning and elevate your career in cloud-powered analytics.
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