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Java Best Practices for Efficient, Scalable, and Secure Code
Published 3/2024
Created by Andrii Piatakha
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 110 Lectures ( 33h 11m ) | Size: 16.3 GB
Tips and Tricks from OOP Foundations to Advanced Architecture Design Concepts - Guide for Developers, Architects, QAs
What you'll learn:
Java Best Practices
Solid Foundation in OOP Principles
Application of SOLID Principles
Effective OOP Interview Preparation
Hands-On Exam on Object-Oriented Programming
Understanding Java Platform Module System (JPMS)
Comprehensive Testing Techniques for Java Platform
Adoption of TDD, BDD & ATDD Methodologies
Object-Oriented Architecture Design
The Best Clean Code Practices
Application of GoF Design Patterns
Preparation for Design Patterns Interviews
Stay Updated with Java New Versions
Effective Logging Practices in Java
Java Secure Coding Practices
Designing RESTful Architectures
Understanding Software Development Metrics and KPIs
Web Application Design Patterns
Requirements:
Basic Java Knowledge: A fundamental understanding of Java programming is essential. Students should be familiar with Java syntax, data types, control structures, and basic concepts.
Programming Experience: Participants should have prior experience in writing Java code. Familiarity with coding practices and basic software development concepts is advantageous.
Development Environment Setup: Students should have a working Java development environment set up on their machines. This includes the Java Development Kit (JDK), Integrated Development Environment (IDE) like IntelliJ or Eclipse, and a version control system (e.g., Git).
Familiarity with Version Control: Some familiarity with version control systems, particularly Git, is recommended. This knowledge will aid in collaborative coding practices and project management.
Motivation for Best Practices: An eagerness to learn and apply best practices in Java development is crucial. The course emphasizes industry-standard approaches to writing efficient, maintainable, and secure code.
