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★ 4.9 (142 reviews)
Full Stack Development – Practical Coding & Job Ready Program
Master Modern Web Development from Scratch with Real-Time Projects, React, Node.js, Databases & Industry Expert Training
Duration
3 Months
Next Batch
15th Nov 2026
Enrollment
1,680+ enrolled
Course Highlights & Key Takeaways
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100% Practical Code Labs
Build real-world apps in our live cloud labs.
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Full Stack Project Portfolio
Get 15+ industry projects for your profile.
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1-on-1 Expert Mentorship
Personalized guidance from senior tech leads.
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Placement Support
Dedicated assistance for career transitions.
About This Course
The Full Stack Development program is a comprehensive, industry-aligned course equipping students with modern frontend and backend engineering skills.
Moving beyond theory into building scalable applications, RESTful APIs, and full-stack projects, this program ensures you are ready for real-world challenges.
What You'll Learn
- Master HTML5, CSS3, and modern JavaScript (ES6+) fundamentals
- Build responsive user interfaces using React.js and component architecture
- Develop robust backend services and REST APIs using Node.js and Express.js
- Design, query, and manage relational and non-relational databases (MongoDB, SQL)
- Implement state management, routing, and authentication (JWT, OAuth)
- Understand version control, Git workflows, and collaborative coding
- Test and debug applications using industry tools and Postman
- Deploy applications to cloud platforms and web hosting servers
- Build full-stack capstone projects for your professional portfolio
- Prepare for software developer and full-stack engineering interviews
Tools & Technologies
React.js
Node.js
Express.js
JavaScript
MongoDB
SQL
Git
Postman
Course Highlights
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Real-World Full Stack Projects
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Focus on Both Theory + Practical
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Hands-on Coding Labs
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Strong Foundation for Tech Career
Course Curriculum
01
Data Fundamentals & Excel Mastery
Covers advanced spreadsheet operations, data cleaning techniques, formulas, pivot tables, and exploratory data analysis basics.
02
SQL & Relational Databases
Focuses on writing complex SQL queries, joins, aggregations, subqueries, and extracting data from relational database management systems.
03
Python for Data Analysis
Involves data manipulation, cleaning, and preprocessing using Python libraries including Pandas, NumPy, and Jupyter Notebooks.
04
Data Visualization & Business Intelligence
Teaches dashboard design, interactive visual reporting, DAX measures, data modeling, and business storytelling.
05
Statistical Analysis & Business Metrics
Enforces statistical testing, hypothesis validation, KPI tracking, and driving data-backed business decisions.
06
Capstone Project & Portfolio Building
Focuses on end-to-end dataset analysis from raw data ingestion to dashboard deployment, final presentations, and career interview prep.