Job Oriented IT Courses at GK Software Technologies
At GK Software Technologies, our job-oriented IT courses are crafted to prepare learners for real-world technology careers. We focus on practical, industry-relevant skills through hands-on training, real-time projects, and expert mentorship. Our programs are designed for students, graduates, and working professionals who want to build confidence and enhance employability. We offer live, trainer-led classes for all technologies , ensuring interactive learning and continuous guidance. With both offline and online learning modes, flexible schedules, and personalized support, GK Software Technologies empowers learners to gain the right skills and succeed in today’s competitive IT industry.
Java Full Stack Course
The Java Full Stack Developer Course is designed to provide comprehensive, job-oriented training in both front-end and back-end technologies. The program emphasizes hands-on development, real-time projects, and industry best practices, enabling learners to design, develop, and deploy complete web applications with confidence.
1. Core Java & OOP Concepts: Strong foundation in object-oriented programming, data types, collections, exception handling, and multithreading.
2. Advanced Java (JDBC & Servlets): Database connectivity, server-side programming, and request–response handling.
3. Spring Framework: Dependency Injection, Spring MVC, and building scalable enterprise applications.
4. Spring Boot: Developing RESTful applications with auto-configuration and microservice-ready architecture.
5. Hibernate & JPA: Object-relational mapping, database persistence, and query optimization.
6. Front-End Technologies (HTML, CSS, JavaScript): Creating responsive and interactive user interfaces.
7. Front-End Frameworks (React / Angular): Component-based UI development and dynamic web applications.
8. Database Management (MySQL / PostgreSQL): Database design, SQL queries, and performance tuning.
9. Version Control (Git & GitHub): Source code management, collaboration, and deployment workflows.
10. Real-Time Projects & Deployment: End-to-end application development, testing, and deployment on servers or cloud platforms.
Course duration: 90-120hrs.
Python Full Stack Course
Python is a powerful, easy-to-learn programming language that is widely used across multiple industries. Due to its simple syntax and flexibility, Python is an excellent choice for students and beginners who want to build a successful career in the IT field. At Gk Software Technologies, Mysuru, we offer professional Python training designed to help learners gain practical, job-oriented skills. This course provides end-to-end training in Python-based full stack development, focusing on real-time applications, hands-on projects, and industry-relevant tools. Python Full Stack Developer Course is designed to provide comprehensive, job-oriented training in both front-end and back-end technologies.
1. Core Python: Python syntax, data types, control structures, functions, and object-oriented programming.
2. Advanced Python: Modules, packages, file handling, error handling, and standard libraries.
3. Django Framework: MVC architecture, models, views, templates, and routing.
4. REST API Development: Building and consuming APIs using Django REST Framework.
5. Front-End Technologies: HTML, CSS, JavaScript for responsive UI development.
6. Front-End Framework: React or Angular fundamentals.
7. Database Management: MySQL / PostgreSQL database design and queries.
8. Authentication & Security: User login, sessions, and role-based access.
9. Version Control: Git and GitHub for code management.
10. Real-Time Projects: End-to-end full stack application development.
Course duration: 90-120hrs.
Data Science Course
The Data Science course focuses on data analysis, visualization, and predictive modeling using industry-standard tools and real-world datasets.
1. Python for Data Science: NumPy, Pandas, and data manipulation techniques.
2. Statistics & Probability: Data analysis and statistical foundations.
3. Data Cleaning: Handling missing data and outliers.
4. Data Visualization: Charts and dashboards using Matplotlib and Seaborn.
5. SQL: Querying databases and extracting insights.
6. Machine Learning: Supervised and unsupervised algorithms.
7. Model Evaluation: Accuracy, precision, recall, and validation.
8. Feature Engineering: Data transformation techniques.
9. Tools: Jupyter Notebook, Excel, and Power BI basics.
10. Capstone Project: Real-world data analysis project.
Course duration: 90-120hrs.
AI-Artificial Intelligence Course
This course introduces learners to artificial intelligence concepts with practical implementation using Python and real-world use cases.
1. AI Fundamentals: Concepts, applications, and ethical considerations.
2. Python for AI: Programming foundations and libraries.
3. Machine Learning: Algorithm selection and model training.
4. Deep Learning: Neural networks and architectures.
5. NLP: Text processing and chatbot development.
6. Computer Vision: Image recognition and analysis.
7. Data Handling: Datasets and feature extraction.
8. Model Optimization: Performance tuning techniques.
9. AI Tools: TensorFlow and PyTorch basics.
10. AI Projects: Practical AI-based applications.
Course duration: 90-120hrs.
Cloud Computing Course
The Cloud Computing course provides hands-on training in cloud platforms, services, and deployment models used by modern enterprises.
1. Cloud Fundamentals: IaaS, PaaS, and SaaS models.
2. AWS / Azure Basics: Core cloud services overview.
3. Virtual Machines: Compute and storage services.
4. Cloud Networking: VPC, load balancers, and security.
5. Cloud Storage: Object and block storage solutions.
6. Databases: Cloud-managed database services.
7. Security & IAM: Identity and access management.
8. Monitoring: Logs, alerts, and performance metrics.
9. Deployment: Hosting applications on cloud.
10. Live Cloud Projects: Real-time cloud deployments.
Course duration: 90-120hrs.
Web development Course
This course focuses on building responsive, user-friendly websites using modern web technologies and best development practices.
1. HTML5: Structure and semantic elements.
2. CSS3: Styling, layouts, and responsiveness.
2. CSS3: Styling, layouts, and responsiveness.
3. JavaScript: Client-side scripting.
4. Bootstrap: Responsive design framework.
5. UI/UX Basics: User experience principles.
6. DOM Manipulation: Dynamic content.
7. Forms & Validation: User input handling.
8. Website Optimization: Performance and SEO basics.
9. Hosting: Domain and server basics.
10. Live Website Projects: Real-world development.
Course duration: 90-120hrs.
Digital Marketing Course
This course provides practical training in online marketing strategies to build brand visibility and generate business leads.
1. Digital Marketing Fundamentals: Online marketing overview.
2. SEO: On-page and off-page optimization.
3. SEM: Google Ads and paid campaigns.
4. Social Media Marketing: Platform strategies.
5. Content Marketing: Blogs and copywriting.
6. Email Marketing: Campaign management.
7. Analytics: Google Analytics insights.
8. Lead Generation: Funnels and conversions.
9. Marketing Tools: Automation platforms.
10. Live Campaign Projects: Hands-on practice.
Course duration: 90-120hrs.
Software Testing Courses
This course focuses on manual and automation testing skills required for quality assurance roles using Selenium and industry tools.
1. Software Testing Basics: SDLC and STLC.
2. Manual Testing: Test cases and defect tracking.
3. Automation Concepts: Testing frameworks.
4. Selenium WebDriver: Browser automation.
5. Java for Selenium: Programming basics.
6. TestNG: Test execution and reports.
7. XPath & Locators: Element identification.
8. Data-Driven Testing: Excel and scripts.
9. CI/CD Basics: Automation pipelines.
10. Live Automation Projects: Real-time testing.
Course duration: 90-120hrs.
Hardware & Networking Courses
This course provides foundational and practical knowledge of computer hardware, networking, and IT infrastructure support.
1. Computer Hardware: Components and assembly.
2. Operating Systems: Windows and Linux basics.
3. Networking Fundamentals: LAN, WAN, and protocols.
4. IP Addressing: IPv4 and subnetting.
5. Network Devices: Routers, switches, firewalls.
6. Troubleshooting: Hardware and network issues.
7. Server Basics: Installation and management.
8. Network Security: Basic security concepts.
9. Cabling: Structured network cabling.
10. Practical Labs: Hands-on network setup.
Course duration: 90-120hrs.
.NET Full Stack Developer Course