Java Programming Essentials

External: Coursera Courses ↗ · Coursera

Open Course on External: Coursera

Free to audit · Opens on External: Coursera

Java Programming Essentials

Coursera · Intermediate ·📐 ML Fundamentals ·2mo ago
Welcome to Java Programming Essentials, a foundational course designed to introduce you to the core principles of Java programming and object-oriented development in modern software environments. This course covers Java fundamentals, program structure, data types, control flow, methods, object-oriented programming concepts, collections, exception handling, and JVM memory basics. By the end of this course, you will be able to: -Explain how Java programs are structured and executed -Write clean and well-structured Java programs using modern syntax -Apply object-oriented principles such as encapsulation, inheritance, abstraction, and polymorphism -Use Java Collections like List, Set, and Map effectively -Implement structured exception handling for robust applications -Describe stack and heap memory behavior in Java -Build and refine a small console-based Java application Through guided coding demos and practical exercises, you will write Java programs from scratch, implement object-oriented designs, work with collections, handle runtime errors, and refactor code using best practices. These activities help bridge the gap between programming theory and real-world application development. This is a beginner-friendly course for aspiring Java developers, computer science students, and professionals transitioning into software development. No prior Java experience is required; basic logical reasoning and familiarity with programming concepts are sufficient.
Watch on External: Coursera ↗ (saves to browser)
Sign in to unlock AI tutor explanation · ⚡30

Related AI Lessons

46 Real-World Hackathon Problems With Datasets and Research Papers
Explore 46 real-world hackathon problems with datasets and research papers to improve your skills in AI, ML, and data science
Dev.to · SentinelCipher
Summing 50,000 emission line items in the wrong order changes your total
Learn how the order of summing emission line items affects the total due to non-associative floating-point addition
Dev.to · Jeremiah Say
Reducing the Complexity of Deep Learning Models for EEG Analysis on Wearable Devices
Learn to reduce deep learning model complexity for EEG analysis on wearable devices, enabling efficient automated healthcare services
ArXiv cs.AI
The way ML identifies DDoS attacks
Learn how ML identifies DDoS attacks to protect websites from overwhelming traffic
Medium · AI
Up next
How to Do Agentic Data Analysis
DataCamp
Watch →