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Software Technology

NexTech Skills facilitates real and functional training that enhances your ability to utilize this operating system confidently as your guide to enhancing your career

Duration: 3 Months

Program Fee: PKR.14,000

Fee Installment Plan: Available

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OVERVIEW

The Software Technology Mastery Course is a one-year comprehensive program designed to equip learners with in-depth knowledge and hands-on skills in various software technologies. Covering a wide array of topics, this course dives deep into both foundational and advanced aspects of software development, architecture, and methodologies. By the end of the program, learners will have the expertise to build scalable, efficient, and innovative software solutions across multiple platforms, with a focus on career readiness, practical skills, and a professional portfolio.

1. Introduction to Software Engineering and Development
  • Overview of Software Development: Software lifecycle, SDLC (Software Development Life Cycle), methodologies like Agile and Waterfall.
  • Programming Basics: Introduction to programming concepts, algorithms, and data structures.
  • Tools and Technologies: Setting up development environments, version control with Git, using IDEs, and debugging.
  • Object-Oriented Programming (OOP): Concepts like classes, objects, inheritance, polymorphism, and encapsulation.
  • C/C++: Understanding low-level programming, memory management, and performance optimization.
  • Java: Advanced Java concepts for enterprise-level applications.
  • Python: Scripting, automation, and web development with Python.
  • JavaScript: Web development and full-stack capabilities.
  • Data Structures: Arrays, linked lists, stacks, queues, trees, graphs, hash maps, etc.
  • Algorithms: Searching, sorting, dynamic programming, recursion, and optimization techniques.
  • Complexity Analysis: Big O notation, time-space trade-offs, and algorithm efficiency.
  • Design Patterns: Singleton, Factory, Observer, Strategy, and others.
  • Software Architecture: Layered architecture, microservices, monolithic architecture, event-driven architecture, and client-server models.
  • UML Diagrams: Use case, sequence, class, and activity diagrams for system modeling.
  • Front-End Development: HTML5, CSS3, JavaScript, frameworks like React.js, Angular, Vue.js.
  • Back-End Development: Node.js, Python with Django/Flask, Ruby on Rails, and Java-based back-end technologies.
  • APIs and Web Services: RESTful APIs, SOAP, GraphQL, and API design best practices.
  • Databases: SQL (MySQL, PostgreSQL) and NoSQL (MongoDB) database systems, normalization, and optimization techniques.
  • Cloud Platforms: AWS, Azure, and Google Cloud.
  • Virtualization and Containers: Docker, Kubernetes for container orchestration.
  • Distributed Systems: Load balancing, horizontal scaling, CAP theorem, and eventual consistency.
  • Cloud-Native Applications: Designing applications optimized for cloud environments.
  • Native Mobile Development: Android (Java/Kotlin), iOS (Swift).
  • Cross-Platform Development: React Native, Flutter, and Xamarin.
  • Mobile App Architecture: MVVM, MVP, and VIPER patterns for app development.
  • Introduction to DevOps: CI/CD pipelines, automation, and version control systems.
  • Automation Tools: Jenkins, GitLab CI, CircleCI for automating the build, test, and deployment process.
  • Configuration Management: Ansible, Chef, Puppet.
  • Monitoring and Logging: Prometheus, Grafana, ELK stack (Elasticsearch, Logstash, Kibana).
  • Types of Testing: Unit testing, integration testing, system testing, and user acceptance testing (UAT).
  • Testing Frameworks: JUnit, Mocha, Jest, Selenium, Cypress.
  • Test-Driven Development (TDD): Writing tests before code and ensuring code quality.
  • Bug Tracking and QA Tools: Jira, Bugzilla, TestRail.
  • Introduction to AI/ML: Basics of AI, supervised vs. unsupervised learning.
  • Machine Learning Algorithms: Linear regression, decision trees, random forests, and neural networks.
  • Deep Learning: Understanding deep neural networks, CNNs, RNNs, and TensorFlow.
  • AI Integration: Integrating AI/ML models into software applications.
  • Software Security: OWASP Top 10, secure coding practices, SQL injection prevention, cross-site scripting (XSS) mitigation.
  • Cryptography: Symmetric and asymmetric encryption, hashing, digital signatures, and certificates.
  • Secure Software Development: Ethical hacking, penetration testing, and security audits.
  • Building a Strong Portfolio: Structuring and organizing a portfolio with real-world projects.
  • Project Management: Using Agile tools (Trello, Jira) for managing software development projects.
  • Technical Interview Preparation: Preparing for coding challenges, system design interviews, and behavioral interviews.
  • Resume Building and Networking: Crafting a professional resume, LinkedIn optimization, and networking strategies.
  • Project Selection and Design: Choose a comprehensive software project that covers multiple skills learned throughout the course.
  • Development and Deployment: Build and deploy a fully functional software application or system.
  • Presentation and Feedback: Present the capstone project to instructors and peers, receive feedback, and refine the project.

Certification

Upon successful completion of the course and capstone project, participants will earn a Professional Certification in Software Technology. This certification highlights expertise across a wide range of software development and technological skills, enabling learners to stand out in the job market.

Career Opportunities

Graduates of the Software Technology Mastery Course are well-prepared for various roles in the software industry. This one-year program is designed to provide not only technical expertise but also practical skills, project experience, and career-ready tools for success in the software development field.

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