887 Java courses

Advance your Java programming skills with our comprehensive course on Object-Oriented Programming. Dive into classes, methods, inheritance, polymorphism, and more, while mastering essential concepts like encapsulation and dependency injection. Perfect for developers looking to elevate their Java expertise.

Discover a holistic approach to understanding the world of coding with the enriching bundle: "C# Coding, Java and Python Programming." This remarkable course package promises an engaging blend of two prestigious QLS-endorsed programmes and five CPD QS-accredited offerings. As a testament to your efforts, every successful participant will be rewarded with hardcopy certificates, providing a tangible representation of their coding prowess. Diving into this treasure trove of knowledge, participants will uncover the intricacies of C#, Java, and Python through our QLS-endorsed courses. Each class has been meticulously structured to enhance comprehension and ensure a rewarding learning journey. Furthermore, five CPD QS-accredited courses extend the learning experience beyond, covering JavaScript, ASP.Net, Data Visualization, and Scratch. Key Features of the C# Coding, Java and Python Programming Bundle: 3 QLS-Endorsed Courses: We proudly offer 3 QLS-endorsed courses within our C# Coding, Java and Python Programming bundle, providing you with industry-recognized qualifications. Plus, you'll receive a free hardcopy certificate for each of these courses. QLS Course 01: Basic C# Coding QLS Course 02: Introduction to Java QLS Course 03: Diploma in Python Programming 5 CPD QS Accredited Courses: Additionally, our bundle includes 5 relevant CPD QS accredited courses, ensuring that you stay up-to-date with the latest industry standards and practices. Course 01: Coding Essentials - Javascript, ASP. Net, C# - Bonus HTML Course 02: Master JavaScript with Data Visualization Course 03: Python from Scratch Course 04: Coding with Scratch Course 05: Mastering Java for Beginners & Experts In Addition, you'll get Five Career Boosting Courses absolutely FREE with this Bundle. Course 01: Professional CV Writing Course 02: Job Search Skills Course 03: Self-Esteem & Confidence Building Course 04: Professional Diploma in Stress Management Course 05: Complete Communication Skills Master Class Convenient Online Learning: Our C# Coding, Java and Python Programming courses are accessible online, allowing you to learn at your own pace and from the comfort of your own home. Learning Outcome: Develop a comprehensive understanding of C#, Java, and Python programming languages. Gain insights into JavaScript and ASP.Net through CPD QS-accredited courses. Uncover the techniques of Data Visualization using JavaScript. Understand the fundamentals of coding with Scratch. Master the art of Java for both beginners and experts. Learn how to build projects from scratch using Python. Become proficient in the use of coding essentials, including HTML. Embark on an enriching journey into the realm of coding with the "C# Coding, Java and Python Programming" bundle. This carefully curated package equips learners with the fundamentals and advanced aspects of three critical programming languages. The offering also extends to five other relevant courses, all of which are CPD QS-accredited, presenting a comprehensive coding landscape. These add-on subjects dive deeper into JavaScript, ASP.Net, Data Visualization, and Scratch, making this bundle a powerhouse of coding knowledge. CPD 250 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Aspiring coders who aim to grasp the fundamentals and advanced techniques of key programming languages. Professionals seeking to diversify their skill set with a comprehensive understanding of coding. Students of computer science desire to deepen their understanding of critical programming languages. Existing coders looking to bolster their resumes with QLS-endorsed and CPD QS-accredited courses. Career path C# Developer: £30,000 - £45,000 Java Developer: £35,000 - £55,000 Python Programmer: £45,000 - £65,000 JavaScript Developer: £30,000 - £50,000 ASP.Net Developer: £35,000 - £55,000 Data Analyst (specialising in data visualisation): £30,000 - £60,000 (Note: Salary estimates are based on the average UK salaries as of 2023.) Certificates Digital certificate Digital certificate - Included Hard copy certificate Hard copy certificate - Included

Duration 4 Days 24 CPD hours This course is intended for This is an introductory-level Java programming course, designed for experienced developers who wish to get up and running with Java, or who need to reinforce sound Java coding practices, immediately. Overview Working in a hands-on learning environment, guided by our expert team, attendees will learn to: Understand not only the fundamentals of the Java language, but also its importance, uses, strengths and weaknesses Understand the basics of the Java language and how it relates to OO programming and the Object Model Learn to use Java exception handling features Work with the Modular system (Project Jigsaw) Understand and use classes, inheritance and polymorphism Understand and use collections, generics, autoboxing, and enumerations Process large amount of data using Lambda expressions and the Stream API Abstract, static and private methods in interfaces Take advantage of the Java tooling that is available with the programming environment being used in the class Specific Java 11 features covered: Using the Local Variable Type in Lambda expressions; Updates made to the String AP Time Permitting: Quick look ahead - Java 12, Java 13, Java 14 and Beyond If you're an experienced OO developer (coming from a C# or C++ background, etc.) who needs to transition to programming in Java, this fast-paced, hands-on course will get you there quickly. Fast Track to Java Programming for OO Experienced Developers is a four-day, lab-intensive class where you'll quickly be immersed in working with the latest Java 11 programming techniques, using best practices for writing solid, robust (and well-written!) modern object-oriented applications. In addition to learning excellent, current coding skills in Java, you'll explore the new improved features for better performance and new capabilities for addressing rapid application development that Java 11 brings to the table. This course includes several key aspects that were introduced in Java 9, Java 10, and Java 11 including the Java Modular System, Local Variable Type Inference, and several API updates. This course also includes a Quick Look at what?s next in Java ? Java 12, Java 13, Java 14 and beyond. The Java Platform Java Platforms Lifecycle of a Java Program Responsibilities of JVM Documentation and Code Reuse Using the JDK Setting Up Environment Locating Class Files Compiling Package Classes Source and Class Files Java Applications The Eclipse Paradigm Workbench and Workspace Views Editors Perspectives Projects Writing a Simple Class Classes in Java Class Modifiers and Types Class Instance Variables Primitives vs. Object References Creating Objects Adding Methods to the Class Passing Parameters into Methods Returning a Value from a Method Overloaded Methods Constructors Optimizing Constructor Usage Language Statements Operators Comparison and Logical Operators Looping Continue and Break Statements The switch Statement The for-each() Loop Using Strings Create an instance of the String class Test if two strings are equal Get the length of a string Parse a string for its token components Perform a case-insensitive equality test Build up a string using StringBuffer Contrast String, StringBuffer, and StringBuilder Specializing in a Subclass Extending a Class Casting The Object Class Default Constructor Implicit Constructor Chaining Fields and Variables Instance vs. Local Variables: Usage Differences Data Types Default Values Block Scoping Rules Final and Static Fields Static Methods Using Arrays Arrays Accessing the Array Multidimensional Arrays Copying Arrays Variable Arguments Local-Variable Type Inference Type inference Infering Types of Local Variables The var Reserved Type name Benefits of Using var Backward Compatibility Java Packages and Visibility Class Location of Packages The Package Keyword Importing Classes Executing Programs Visibility in the Modular System Java Naming Conventions Inheritance and Polymorphism Polymorphism: The Subclasses Upcasting vs. Downcasting Calling Superclass Methods from Subclass The final Keyword Interfaces and Abstract Classes Separating Capability from Implementation Abstract Classes Implementing an Interface Abstract Classes vs. Interfaces Introduction to Exception Handling Exception Architecture Throwing Exceptions Checked vs. Unchecked Exceptions Exceptions Handling Multiple Exceptions Automatic Closure of Resources Creating Your Own Exceptions Utility Classes Wrapper Classes Autoboxing/Unboxing Enumeration Syntax Using Static imports Introduction to Generics Generics and Subtyping Bounded Wildcards Generic Methods Legacy Calls to Generics When Generics Should Be Used Lambda Expressions and Functional Interface Lambda Expression Syntax Functional Interfaces Type Inference in Java 8 Method references Collections Characterizing Collections Collection Interface Hierarchy The Set, List and Queue Interfaces Map Interfaces Using Collections Collection Sorting Comparators Using the Right Collection Lambda expressions in Collections Streams Processing Collections of data The Stream interface Reduction and Parallelism Filtering collection data Sorting Collection data Map collection data Find elements in Stream Numeric Streams Create infinite Streams Sources for using Streams Collectors Creating Collections from a Stream Group elements in the Stream Multi-level grouping of elements Partitioning Streams Introduction to the Module System Introduce Project Jigsaw Classpath and Encapsulation The JDK internal APIs Java 9 Platform modules Defining application modules Define module dependencies Implicit dependencies Implied Readability Exporting packages Java Date/Time The Date and Calendar classes Introduce the new Date/Time API LocalDate, LocalDateTime, etc. Formatting Dates Working with time zones Manipulate date/time values Java 12 and beyond Provide an overview of changes since Java 11 Introduce Preview Features Records (Java 14) Switch Expressions (Java 12, Java 13, Java 14) Text Blocks (Java 13, Java 14) Helpful NullPointerExceptions (Java 14) Pattern Matching for instanceof (Java 14) Additional course details: Nexus Humans Fast Track to Core Java Programming for Object Oriented Developers (TT2104-J11) training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the Fast Track to Core Java Programming for Object Oriented Developers (TT2104-J11) course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

This video covers the essential topics necessary for working with Apache Maven. You will understand the techniques and methods to create multi-module Apache Maven projects from scratch, along with delving into topics needed for testing and deploying Java applications.

Welcome to the world of machine learning, Java, and Python programming! This exciting bundle offers a comprehensive learning experience with a variety of courses that will equip you with the knowledge and skills needed to excel in these fields. Within this bundle, you will find a total of eight courses, including three QLS-endorsed courses and five relevant CPD QS-accredited courses. The three QLS-endorsed courses in this bundle are the Machine Learning with Python course, the Introduction to Java course, and the Diploma in Python Programming. These courses have been carefully curated and designed to provide you with a solid foundation in machine learning and programming using both Java and Python. Upon completion of these courses, you will receive hardcopy certificates to showcase your achievement. In addition to the QLS-endorsed courses, this bundle also includes five CPD QS-accredited courses. These courses are highly relevant to the field and will further enhance your understanding and expertise. They include Azure Machine Learning, Complete Python Machine Learning & Data Science Fundamentals, Machine Learning Model Using AWS SageMaker Canvas, Statistics & Probability for Data Science & Machine Learning, and 2021 Data Science & Machine Learning with R from A-Z. Key Features of the Machine Learning, Java and Python Programming Bundle: 3 QLS-Endorsed Courses: We proudly offer 3 QLS-endorsed courses within our Machine Learning, Java and Python Programming bundle, providing you with industry-recognized qualifications. Plus, you'll receive a free hardcopy certificate for each of these courses. QLS Course 01: Machine Learning with Python QLS Course 02: Introduction to Java QLS Course 03: Diploma in Python Programming 5 CPD QS Accredited Courses: Additionally, our bundle includes 5 relevant CPD QS accredited courses, ensuring that you stay up-to-date with the latest industry standards and practices. Course 01: Azure Machine Learning Course 02: Complete Python Machine Learning & Data Science Fundamentals Course 03: Machine Learning Model Using AWS SageMaker Canvas Course 04: Statistics & Probability for Data Science & Machine Learning Course 05: 2021 Data Science & Machine Learning with R from A-Z In Addition, you'll get Five Career Boosting Courses absolutely FREE with this Bundle. Course 01: Professional CV Writing Course 02: Job Search Skills Course 03: Self-Esteem & Confidence Building Course 04: Professional Diploma in Stress Management Course 05: Complete Communication Skills Master Class Convenient Online Learning: Our Machine Learning, Java and Python Programming courses are accessible online, allowing you to learn at your own pace and from the comfort of your own home. Learning Outcomes: Gain a comprehensive understanding of machine learning principles and algorithms. Develop proficiency in programming with Python and Java, and apply these skills to real-world projects. Explore the fundamentals of data science and statistical analysis. Learn how to leverage cloud-based platforms, such as Azure and AWS, for machine learning tasks. Build and deploy machine learning models using various frameworks and tools. Acquire practical knowledge in data preprocessing, feature selection, and model evaluation techniques. Gain expertise in using R for data science and machine learning applications. This bundle combines the power of machine learning, Java programming, and Python programming to provide you with a comprehensive skill set in these high-demand fields. With a total of eight courses, including three QLS-endorsed and five CPD QS-accredited courses, this bundle covers all the essential topics and techniques needed to succeed. Whether you are a beginner looking to enter the world of machine learning and programming or an experienced professional seeking to expand your knowledge and skills, this bundle has something for everyone. From understanding the fundamentals to applying advanced algorithms, you will gain a deep understanding of machine learning principles and the ability to develop robust applications using Java and Python. CPD 250 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Individuals interested in starting a career in machine learning, Java programming, or Python programming. Professionals seeking to enhance their skills and stay updated with the latest trends in these fields. Students pursuing degrees in computer science, data science, or related disciplines. Anyone looking to broaden their knowledge and explore the exciting field of machine learning and programming. Career path Machine Learning Engineer: £45,000 - £90,000 per year Data Scientist: £40,000 - £80,000 per year Java Developer: £30,000 - £70,000 per year Python Developer: £35,000 - £75,000 per year Cloud Solutions Architect: £50,000 - £100,000 per year Statistical Analyst: £35,000 - £65,000 per year Certificates Digital certificate Digital certificate - Included Hard copy certificate Hard copy certificate - Included

Understanding the basics of Apache Maven through practical demonstration

In this course, we take you step by step through the most common features and programming idioms of the Groovy programming language, enabling you to supercharge your developer productivity by harnessing the power of Groovy's lightweight and succinct programming syntax.

This course will take you through the basics as well as advanced concepts in TestNG and automation framework building. The course focuses on important concepts such as TestNG, Java, Maven, Selenium WebDriver, page object model, and page factory design. You need to know the basics of core Java and Selenium to get started.

Duration 4 Days 24 CPD hours This course is intended for This course is geared for experienced skilled Java developers, software developers, data scientists, machine learning experts or others who wish to transtion their coding skills to Scala, learning how to code in Scala and apply it in a practical way. This is not a basic class. Overview Working in a hands-on learning environment led by our expert instructor you'll: Get comfortable with Scala's core principles and unique features, helping you navigate the language confidently and boosting your programming skills. Discover the power of functional programming and learn techniques that will make your code more efficient,maintainable, and enjoyable to write. Become proficient in creating dynamic web applications using the Play Framework, and easily connect to databases with the user-friendly Slick library. Master concurrency programming with Akka, empowering you to build scalable and fault-tolerant applications that excel in performance. Enhance your testing skills using ScalaTest and ScalaCheck, ensuring the reliability and quality of your Scala applications, while having fun in the process. Explore the fascinating world of generative AI and GPT technologies, and learn how to integrate them into your projects,adding a touch of innovation and intelligence to your Scala solutions. If your team requires different topics, additional skills or a custom approach, our team will collaborate with you to adjust the course to focus on your specific learning objectives and goals. Discover the power of Scala programming in our comprehensive, hands-on technical training course designed specifically for experienced object-oriented (OO) developers. Scala is a versatile programming language that combines the best of both OO and functional programming paradigms, making it ideal for a wide range of projects, from web applications to big data processing and machine learning. By mastering Scala, you'll be able to develop more efficient, scalable, and maintainable applications. Fast Track to Scala Programming for OO / Java Developers is a four day hands-on course covers the core principles of Scala, functional programming, web application development, database connectivity, concurrency programming, testing, and interoperability between Scala and Java. Additionally, you'll explore cutting-edge generative AI and GPT technologies, learning how to integrate them into your Scala applications for intelligent suggestions or automation. Throughout the course you?ll explore the latest tools and best practices in the Scala ecosystem, gaining valuable knowledge and experience that can be directly applied to your day-to-day work. With 50% of the course content dedicated to hands-on labs, you'll gain practical experience applying the concepts you've learned across various projects, such as building functional web applications, connecting to databases, designing modular components, and implementing concurrency. Upon completing the course, you'll have a solid understanding of the language and its features, empowering you to confidently apply your new skills in data science and machine learning projects. You'll exit well-prepared to create efficient, scalable, and maintainable Scala applications, regardless of the complexity of your projects. Introduction to Scala Scala features and benefits Comparing Scala with Java and other OO languages Installing Scala and setting up the development environment Object-Oriented Programming in Scala Classes and objects Traits, mixins, and inheritance Companion objects and factories Encapsulation and polymorphism Functional Programming Basics Pure functions and referential transparency Higher-order functions and currying Immutability and persistent data structures Pattern matching and recursion Having Fun with Functional Data Structures Lists, sets, and maps in Scala Folding and reducing operations Stream processing and lazy evaluation For-comprehensions Building Web Applications in Functional Style Introduction to Play Framework Functional web routing and request handling JSON handling with Play-JSON Middleware and functional composition Connecting to a Database Introduction to Slick library Database configuration and setup Querying and updating with Slick Transactions and error handling Building Scalable and Extensible Components Modular architecture and design patterns Dependency injection with MacWire Type classes and type-level programming Implicit parameters and conversions Concurrency Programming & Akka Introduction to Akka framework and Actor model Actor systems and message passing Futures and Promises Supervision and fault tolerance Building Confidence with Testing Introduction to ScalaTest and ScalaCheck Unit testing and property-based testing Test-driven development in Scala Mocking and integration testing Interoperability between Scala and Java Calling Java code from Scala Using Java libraries in Scala projects Converting Java collections to Scala collections Writing Scala code that can be called from Java Using Generative AI and GPT Technologies in Scala Programming Overview of GPT and generative AI Integrating GPT with Scala applications Use cases and practical examples

Learning about Servlets and JSP lays a great foundation for learning all modern-day frameworks. In this course, we will start by talking about some network components and understand the basics of networking with simple real-world examples. And then, we will jump into some good examples of network programming.