Advanced Python with Streamlit

SKILLS: Interactive Application Development | Machine Learning Integration | Cloud Deployment

Course Fee - ₹ 1500

Registration Closed

Overview

Advanced Python with Streamlit is a hands-on course that equips learners to build interactive Python web applications using Streamlit. Participants master file handling, data visualization, machine learning integration, and GitHub project management while completing practical projects that develop industry-ready skills for designing, deploying, and maintaining real-world applications.

START DATE

Jul 01 2026

END DATE

Oct 15 2026

Delivery Mode

Online

Duration

15 Hours

Type

Theory

Course Fee

₹ 1500

Credentials and Certification

1 Credit

Course Category Micro-Credentials (Advanced)

TARGET AUDIENCE CHRIST University students

Digital Credential

indicating verified micro-credential completion.

RECOMMENDED FOR

Students exploring industry-relevent skills

Professionals planning to upskill and reskill

Faculty building digital deployment literacy

COURSE DELIVERY

Action-based learning materials with guided assessments and faculty support.

Course Outcomes

Our curriculum matches modern standard practices to provide exceptional training milestones.

Streamlit Application Development

Understand Streamlit fundamentals and build interactive web application interfaces using components, layouts, and responsive design principles.

CORE KNOWLEDGE

Data Processing and File Handling

Implement file handling, data processing, and data management techniques to efficiently work with structured and unstructured datasets.

PRACTICAL LEARNING

Data Visualization and Analytics

Create meaningful visualizations and integrate analytical dashboards that transform data into actionable insights for effective decision-making.

DATA VISUALIZATION

Machine Learning Integration

Develop and integrate machine learning models into Streamlit applications to deliver predictive analytics and intelligent decision support solutions.

AI APPLICATIONS

Robust Application Development

Utilize session state management, input validation, and exception handling to build reliable, secure, and user-friendly Streamlit applications.

SOFTWARE DEVELOPMENT

Version Control and Deployment

Apply GitHub-based version control, collaborative development practices, and deployment workflows to manage and deliver professional software projects.

INDUSTRY READINESS

ELIGIBILITY CRITERIA

UG and PG students

Course Instructor

Expert guidance from acclaimed industry professional leaders.

Dr Vijay Arputharaj

Assistant Professor

Dr. Vijay Arputharaj J is an Associate Professor with over 15 years of teaching and research experience. His expertise includes Python, genomics, bioinformatics, AI, and digital learning. He has published 20+ research papers, authored book chapters, and developed innovative micro-credential courses

Program Overview

Academic Curriculum

A meticulous, guided learning path engineered to transform your cloud engineering expertise.

Module 1

Introduction to Streamlit and Interactive Web Applications

Module 2

Data Handling and Visualization

Module 3

Machine Learning Application Development

Module 4

Version Control and Project Deployment

Module 5