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- CCC – Course on Computer Concepts
Master Front-End, Back-End, Full-Stack, Data Science & Machine Learning
Software Development & Full-Stack Career Program
- Certified Training Standard
- 16 Months Practical Track
- Hands-on Live Coding & Project Labs
- Front-End, Back-End, Database & Data Science
- Senior Software Engineer Trainers
This Course Includes
- 100% Practical Coding & Software Labs
- Live Project & Portfolio Development
- Dedicated Job Placement Assistance
About this course
The Software Development Career Program at Shiv Tech Institute, Ghodasar, Ahmedabad is an end-to-end practical training program. Designed for students pursuing or planning UG/PG degrees (such as BCA, B.Sc IT, B.Tech in IT, BE in IT, MCA, M.Sc IT, M.Tech in IT, ME in IT, etc.), diploma holders, and career switchers, this course covers everything from core languages (C, C++, Java, Python) to modern web development (HTML, CSS, JavaScript, WordPress), database management (MySQL, DBMS), Data Science, and Machine Learning. We also offer dedicated academic guidance and admission support for Online Bachelor’s and Master’s degree programs alongside practical technical skill training.
Course Highlight
- Beginner to Advanced Programming & Full-Stack Training
- Practical Hands-On Training in Front-End & Back-End Web Development
- Live Real-World Coding Projects & Capstone Assignments
- Master Industry-Standard Technologies (C, C++, Java, Python, Web Dev, MySQL)
- Comprehensive Portfolio Creation & Professional Resume Building
- Intensive Technical Mock Interviews & Career Grooming
- ISO Recognized Certificate Upon Course Completion
- 100% Dedicated Career Guidance & Job Placement Support
1. Programming & Core Languages (Languages & OOPs)
This module covers foundational programming, logical reasoning, and object-oriented concepts required for university curriculums (BCA, MCA, BE, B.Tech) and enterprise software development.
Topics include:
- C & C++: Logic Building, Flowcharts, Pointers, Memory Management & OOPs
- Core & Advanced Java: Classes, Inheritance, Exception Handling, Collections & Multithreading
- Python Programming: Data Structures, Functional Programming, Modules & Automation
- Problem Solving: Data Structures & Algorithms (DSA) Fundamentals
- Code Optimization: Algorithmic Efficiency, Debugging & Best Practices
2. Front-End Web Development & Design
Students master modern UI/UX design, responsive layouts, and interactive front-end web architecture required for modern full-stack web applications.
Topics include:
- HTML5 & CSS3: Semantic Elements, Layouts, Flexbox, CSS Grid & Animations
- JavaScript (ES6+): DOM Manipulation, Event Handling, Async/Await & APIs
- UI Frameworks: Bootstrap, Tailwind CSS & Mobile-First Responsive Design
- CMS Development: WordPress Theme Customization, Plugins & E-Commerce Integration
- Version Control: Git & GitHub for Collaborative Project Management
3. Back-End Development & Database Management (DBMS)
This module focuses on server-side programming and application logic used to power dynamic websites and applications.
Topics include:
- Server-Side Programming Concepts
- PHP / Python / Node.js Basics
- Form Handling and Data Processing
- Authentication and User Management
- REST API Development
4. Database Management Systems (DBMS & SQL)
Master relational and non-relational database design, enterprise data modeling, complex queries, and backend database integration.
Topics include:
- Database Architecture: Relational Database Design, Normalization (1NF to 3NF) & ER Diagrams
- SQL Mastery: DDL, DML, DCL, Complex Joins, Indexing, Triggers, Views & Stored Procedures
- MySQL & DBMS: Database Creation, CRUD Operations & Data Optimization
- NoSQL Basics: Introduction to MongoDB & Document-Oriented Databases
- Backend Integration: Connecting Databases with Python, Java, PHP & Web Applications
5. Data Analytics & Business Intelligence
Designed for BCA, MCA, BE, and B.Tech students to learn how to extract insights from enterprise databases, clean raw data, and perform statistical analysis.
Topics include:
- Data Processing: Exploratory Data Analysis (EDA), Data Cleaning & Feature Scaling
- Python for Data Analysis: Pandas, NumPy, Matplotlib & Seaborn Libraries
- Data Visualization: Creating Reports, Dashboards & Graphical Analytics
- SQL for Analytics: Aggregations, Window Functions & Extracting Insights
- Statistical Methods: Descriptive Statistics, Distributions & Probability Basics
6. Data Science & Machine Learning (Advanced Engineering)
Designed for advanced tech students (MCA, BE, ME, M.Tech) to build intelligent systems, predictive models, and deploy machine learning algorithms.
Topics include:
- Machine Learning Fundamentals: Supervised & Unsupervised Learning Algorithms
- ML Algorithms: Linear Regression, Decision Trees, Classification & Clustering
- Model Training & Evaluation: Scikit-Learn, Feature Engineering, Accuracy Metrics & Testing
- Predictive Analytics: Building Intelligent Applications with Real Datasets
- Capstone Live Project: End-to-End Full-Stack & Machine Learning Project Deployment