Online Programming And Development Courses & Certifications

Arun Motoori, a software testing blogger and trainer, established the Java Made Easy for Beginners, Testers, Selenium, and Appium online certification, which is delivered through Udemy and is intended for individuals who want to learn Java programming to start their automation journey. The Java Made Easy for Beginners, Testers, Selenium, and Appium online course focuses on teaching the functionalities of Java along with Selenium and Appium for automation testing.

Java Made Easy for Beginners, Testers, Selenium and Appium online classes ingles more than 77.5 hours of extensive video lectures and 5 articles which cover a range of topics related to java which include JDBC, OOPs concepts, generics, comment, variable, classes, flow control, data types, operators, literals, objects, arrays, methods, string class, buffer class, wrapper class, packages, constructors, keywords, modifiers, collection framework and more. Applicants will receive a certificate for completing this course, which will validate their knowledge and learning in automation testing using Java, Selenium, and Appium.

Durgasoft Nagoor Babu - Trainer at Durgasoft Solutions created the Complete Core Java In Simple Way Part - 2 certification course, which is available on Udemy and is aimed at learners who want to improve their knowledge of core java concepts such as language fundamentals, operators, flow control, oops concepts, and more. The Complete Core Java In A Simple Way Part 2 online course focuses on offering a thorough understanding of sophisticated technologies such as JSP, JDBC, Servlets, JPA, Spring, and Hibernate.

Complete Core Java In Simple Way Part - 2 online classes by Udemy employs 50 hours of extensive video lectures to teach both theoretical and practical understanding of concepts such as networking, multithreading, arrays, remote method invocation, and collection framework, garbage collections, generics, JVM architecture, and more. Learners will be able to work on a variety of projects using the Java programming language by the end of this course.

Object-oriented programming (OOP) is a software framework that organizes software development around objects, instead of just operations and concepts. An object is an information field with its own set of properties and behaviour. Learn Object Oriented Programming (OOPs) Concepts In Java online certification is designed by Durgasoft Nagoor Babu - Certified Trainer at Durgasoft and is delivered by Udemy.

Learn Object Oriented Programming (OOPs) Concepts In Java online course provide 43 hours of detailed video-based lessons which begin the introduction to the difference between structures and unstructured programming languages. Learn Object Oriented Programming (OOPs) Concepts In Java online classes are divided into 180 comprehensive lectures which cover a range of topics about oops concepts in Java which include flow control, keywords, operators, instance context, relationships, association, inheritance, polymorphism, object creation, object cloning, constructor and a lot more.

Java Native Interface (JNI) is a programming interface for developing Java native procedures and integrating the Java virtual machine into native applications. The primary purpose is to ensure native method libraries are binary compatible throughout all Java virtual machine architectures on a system. The Java Native Interface (JNI) in-depth certification course is prepared by Meisam Bahadori, a professional engineer and educator, and is presented by Udemy.

Java Native Interface (JNI) in-depth online course is for software engineers and java programmers who want to learn how to develop java code using native methods and how to bundle that code with a C++ library that implements those native methods. Java Native Interface (JNI) in-depth online classes include more than 38.5 hours of prerecorded lessons, 45 downloaded materials, and 13 articles that cover the principles of both C++ and Java programming as well as the features of NetBeans IDE and Eclipse IDE.

Meisam Bahadori - Professional Engineer & Instructor created the Java for Scientific Computing online certification, which is offered by Udemy and is aimed at learners who wish to study java programming and become certified java programmers. The goal of the Java for Scientific Computing online classes by Udemy is to offer students a thorough understanding of basic scientific computing principles like finding roots, optimization, and solving differential equations.

Java for Scientific Computing online course incorporates 59 hours of video lectures, as well as 95 downloadable materials, articles, and associated slides that have been carefully designed and arranged. Learners will learn about expression evaluation, operator overloading, particle swarm optimization, numerical integration, differential equations, symbolic function, constructor visualization, root finding, and other topics in scientific computing through this training program.

It is an inversion of the control container and application framework for the Java platform. All Java programs can take advantage of the framework's fundamental features, and it has special enhancements for creating web applications on top of the Java EE platform. The framework's popularity in the Java community stems from its role as an extension of the enterprise Java Beans model, despite the fact that it does not mandate a particular programming model. It's free to use and modify the Spring Framework. The inversion of the control container is at the heart of the Spring Framework because it offers a standardized approach to configuring and managing Java objects through reflection. The Java Spring Tutorial: Learn Java's Popular Web Framework certification is made available by Udemy to candidates who aspire to learn the Java web framework, including how to code for the web.

The Java Spring Tutorial: Learn Java's Popular Web Framework online training includes 28  hours of video, four articles, 166 downloadable resources, and a digital certificate upon course completion.

The Java Spring Tutorial: Learn Java's Popular Web Framework online classes consisting of spring, bean configuration, auto wiring, annotation, SPEL, databases, web applications, web forms, AOP, spring security, apache tiles, logging, hibernate, web flow, JSON, AJAX, and spring mail.

Java was initially released by Sun Microsystems in 1995 as a programming language and computing platform. It started out as a simple platform, but it's grown to be the foundation on which many modern services and applications are built. Java remains integral to the development of cutting-edge, digital services and products with an eye toward the future. Even though the Java runtime and the application are increasingly combined in modern Java programs, there are still a number of programs and even some websites that cannot be used unless a desktop Java is installed. This website, Java.com, caters to users who may still need Java for desktop applications, especially those designed for Java 8. programmers and curious end-users alike. Spring Framework Master Class - Java Spring the Modern Way certification is made available by Udemy to candidates who aspire to master spring development in its entirety

Spring Framework Master Class - Java Spring the Modern Way online training includes 12.5 hours of video, 14 articles, one downloadable resource, and a digital certificate upon course completion.

Spring Framework Master Class - Java Spring the Modern Way online classes consist of spring framework, Github, java spring framework, auto wiring in-depth, JUnit Project, tools, unit testing, spring boot, spring AOP, web application, and interacting with databases.

It is an inversion of the control container and application framework for the Java platform. In addition to the core features, which can be used by any Java program, the framework also includes tools for creating web applications in the Java EE environment. This framework has become widely used in the Java community as an extension of the enterprise java beans (EJB) model, despite the fact that it does not mandate a particular programming model. There is no cost to use the spring framework. When using the spring framework, you can take advantage of its own aspect-oriented programming (AOP) framework, which helps to separate non-trivial concerns into separate modules. spring Framework for Beginners with Spring Boot certification is made available by Udemy to candidates who want to develop knowledge of the most in-demand business frameworks.

spring Framework for Beginners with Spring Boot online training includes 18 hours of video and a digital certificate upon course completion.

spring Framework for Beginners with Spring Boot online classes consist of core java, spring boot, spring core, spring MVC, spring ORM, spring data JPA, REST, AOP terms, and spring security.

Full stack development refers to the development of an entire application, including the front end and the back end. The front end consists of the user interface, while the back end is responsible for the application's business logic and workflows. HTML, CSS, and Javascript can build the website UI. The backend is written in languages such as Java and Python. Additionally, a quality web application requires scalability, event handling, and routing, which are typically handled by libraries and frameworks such as spring boot and Django. A full-stack developer can independently implement both front-end and back-end workflows, such as placing an order or updating a user's profile. Full Stack: Angular and Java Spring Boot E-Commerce Website certification is made available by Udemy to prospective applicants who have the goal of developing a full-stack online store using angular with spring boot for Java.

Full Stack: Angular and Java Spring Boot E-Commerce Website online training includes 25.5 hours of video, seven articles, 213 downloadable resources, and a digital certificate after the course is accomplished.

Full Stack: Angular and Java Spring Boot E-Commerce Website online classes consist of angular, development tools, typescript application, creating classes, inheritance, interface, bootstrap CSS, spring boot, angular project, template, Keyword, category, product master, Pagination, Shopping Cart, check out, log in, refactoring, security, and order history.

Reactive programming is a declarative programming paradigm in computer science that focuses on streams of data and the spread of change. This paradigm makes it simple to express both static and dynamic data streams, and to alert the execution model to the existence of an inferred dependency, allowing for the automatic propagation of changes to the data flow. The development of reactive programming languages makes use of a number of well-known techniques. the requirement for domain-specific languages to be specified. real-time processing, embedded systems, and detailed hardware specifications are all examples of constraints of this type. Alternatively, reactivity can be built into the specification of general-purpose languages. Reactive Programming with Spring Framework 5 certification is made available by Udemy to candidates who aspire to learn how to implement reactive programming using the spring framework.

Reactive Programming with Spring Framework 5 online training includes 12.5 hours of video, four articles, 16 downloadable resources, and a digital certificate upon course completion.

Reactive Programming with Spring Framework 5 online classes consisting of reactive programming, net flux reactive, spring web client, web flux, R2DBC,  functional endpoints, reactive streams, reactive mongo, reactive RabbitMQ, spring framework, functional programming, Java streams, and GitHub basics.

The Mastering Perl Scripting Certification Training by Edureka is a course designed to help you develop and deploy applications with Perl scripting language. The training course enables the candidates to understand the Perl syntax, file operations, data types, and regular expression while keeping in mind the Perl coding standards. You will learn to minimise the development cycle durations of designing web applications.

The Mastering Perl Scripting Certification Training programme also guides you in designing rich GUI with the Perl/Tk module to create end-user friendly programs. In addition, the course allows you to dive deep into the theoretical and applied benefits and limitations of using Perl.

Moreover, the training is curated and mentored by industry experts and trainers with years of relevant experience. The training is a self-paced online learning session, which enables participants to study at their convenience by reviewing exercises to reinforce their lessons. Besides, the course also certifies you as an expert in Perl.

The PHP and MySQL with MVC Frameworks Certification Training will make you a certified PHP and MySQL expert. The course familiarises you with PHP scripting and MySQL databases. You will learn to build dynamic, user-friendly, and database-driven web applications using PHP and MySQL.

The PHP and MySQL with MVC Frameworks Certification curriculum focuses primarily on using PHP and MySQL along with the CakePHP model–view–controller (MVC) framework. The programme includes sections covering the installation, configuration, connection, and database handling practices of PHP, MySQL and CakePHP. 

Moreover, the PHP and MySQL with MVC Frameworks Certification course allows you to master the crucial concepts of PHP and MySQL and enhances your web application development skills. You will become proficient in PHP programming skills, developing, and creating functions, and object-oriented concepts.

The training, which is crafted by industry expert practitioners, is a self-paced online learning session to ensure smooth learning for candidates. Besides, you also become a certified expert in PHP and MySQL with MVC Frameworks.

The Electronics & Information and Communication Technology Academy at IIT Kanpur offers the Azure Data Lake certification course. It is a six-week course, replete with assignments, project work, and online lectures. The total credit score assigned is 44, inclusive of lecture, laboratory, tutorial, self-study, and assignments/project hours.

The Azure Data Lake certification syllabus spreads across six learning modules. Students will learn to develop, populate, and query Azure Data Lake using Visual Studio. The curriculum covers the introduction of Azure Data Lake and its different access paths. Additionally, custom functions and monitoring of the U-SQL catalogue are studied.

Students need to complete the assignments and final quiz allotted to receive the Azure Data Lake certification. They need to also work on project work using a PowerPoint presentation based on their understanding of the course. A demo version of this course is available, including only the first three topics included in the first module.

The Certificate in Data Analysis with R programme offers in-depth knowledge about using R, an open-source programming language, in the field of data science. 

With constant technological and business advancements, data analysis has become a popular domain with fantastic career opportunities. It revolves around applying analytical and statistical techniques and analysing data sets. This helps the decision-making process and prediction of business tactics to a great extent.

The R language provides the various techniques used in statistical computing, graphical representation, and data analysis. The online course, Certificate in Data Analysis with R, deals with practices that involve classical statistical tests, clustering, linear and nonlinear modelling, classification, time-series analysis, etc. You can also boost your career with outstanding employment opportunities by receiving the government-authenticated course certificate. 

If you are hoping to get employed by IT companies, improving your skills with the Certificate in Data Analysis with R online training will not only polish your resume but also increase your chances of being recognized in the industry.

Data is everywhere today. Thus, an increasing number of companies are analysing, tracking, and using data insights to make informed decisions. Codecademy’s Analyze Data with Python online course is designed to teach you the essentials of data analysis. Moreover, it offers a certificate of completion.

During Analyze Data with Python certification course, you will learn how the NumPy library is used to perform statistical calculations, organise large amounts of data, and store arrays of numbers. You will also study foundational concepts of Pandas library for data analysis and manipulation.

Throughout the Analyze Data with Python online course by Codeacademy, you will go through rich content on Pandas, SciPy, Jupyter Notebooks, NumPy, MatPlotLib, and more. The curriculum also requires you to build three data analysis projects, namely FetchMaker, A/B Testing for ShoeFly.com, and A/B Testing at Nosh Mish Mosh. Thus, you will build real-world, practical skills while solidifying theory.

R is a well-known programming language used in Data science courses. The Analyze Data with R certification programme will teach you the foundational concepts of the R programming language. During the course, you will study basic data structures and coding concepts, including functions, loops, control flow, etc., in R.

Codecademy’s Analyze Data with R online course will train you on getting the most out of your datasets. This will enable you to conduct statistical analyses and generate stunning visualisations. You will also explore R libraries such as ggplot2, gtrendsr and more.

Throughout the eight-week duration of the Analyze Data with R online programme by Codecademy, you will learn about key applications of R, including regression, data cleaning, and analysis. You'll also learn to investigate, reshape, and clean data with data frames. 

R is a well-known programming language developed for Data Scientists.  Lastly, you will work on three capstone projects to practically implement your learnings. After successful course completion, you will get a certificate of completion.

The Analyze Data with SQL certification programme is built to impart in-depth knowledge of SQL (Structured Query Language). During this curriculum, you will learn the fundamentals of SQL databases and prepare for technical interviews.

The Analyze Data with SQL online course by Codecademy will also help you explore advanced SQL topics such as date functions, math functions, and window functions. Thus, you will become proficient in writing your own queries to access data.

During the Analyze Data with SQL training, you will work on three projects to build real-life skills. The course learnings will enhance your SQL toolset, enabling you to implement theory to datasets. You will also understand how to grab data from different sources to draw advanced conclusions.

Furthermore, you will explore relevant data concepts, including Data Science, SQLite, queries, command line, databases, tables, and more. Codecademy’s Analyze Data with SQL course also offers a completion certificate with the Pro subscription.

The Analyze financial data with Python online course prepares applicants for a data analytics role in the finance industry. Students will learn the fundamentals of Python programming, which will be used to process and analyse financial data. After the course, you will become proficient in using Python for data analysis. 

Furthermore, Codecademy’s Analyze financial data with Python certification course caters to individuals who want to learn quantitative finance and build a portfolio with Python. Since this is a beginner-friendly course, you can quickly learn through step-by-step guidance. You can gain a new skill quickly through hand-picked and well-curated content.

Additionally, the Analyze financial data with Python programme concludes with a capstone project to test your programming and financial skills. You can also obtain a certificate on completion to enhance your qualifications and employability.

The Machine Learning, Data Science, and Deep Learning with Python online course is a 15.5 hours on-demand course provided by Udemy. The course teaches about Keras and Tensorflow that are used to create artificial neural networks. The course also teaches about deep learning that may be used to classify data, pictures, and feelings.

Machine Learning, Data Science, and Deep Learning with Python training teachers to use linear regression, multivariate regression, and polynomial regression to make predictions. The course teaches about Seaborn and MatPlotLib that are used to visualize data. Candidates will learn to deploy machine learning at a huge scale with Apache Spark's MLLib.

The Machine Learning, Data Science, and Deep Learning with Python syllabus covers the use of Support Vector Machines (SVM), K-Means clustering, KNN, Naive Bayes, PCA, and Decision Trees to classify data. The course teaches to develop a movie recommendation system that combines user-based and item-based collaborative filtering.

Natural Language Processing with Deep Learning in Python online certification was created by Lazy Programmer Inc., Artificial Intelligence and Machine Learning Engineer, Lazy Programmer Team, and is offered through Udemy Inc. which is an online learning platform, that helps individuals progress in their careers.

Natural Language Processing with Deep Learning in Python online course will teach how the GloVe method uses matrix factorization to find word vectors, using recurrent neural networks to solve natural language processing problems such as part-of-speech tagging and named entity recognition, as well as gain an understanding of how neural networks solve almost any problem, and how to use recursive neural networks to solve the sentiment analysis negation problem

Natural Language Processing with Deep Learning in Python online training is designed for individuals who are familiar with programming and have some experience in it as this course comes with prerequisites such as calculus, matrix addition, multiplication, probability, python coding, Numpy coding, neural networks and backpropagation, gradient descent algorithms, coding feedforward neural network in Theano or TensorFlow, coding recurrent neural network / LSTM / GRU in Theano or TensorFlow, tree algorithms. The interested learners could enrol on the course by paying the fee. 

Advanced AI: Deep Reinforcement Learning in Python certification course is designed by Lazy Programmer Inc. - artificial intelligence and machine learning engineer and its team which is presented by Udemy, an online learning platform, to assist students to succeed in their occupations.

Advanced AI: Deep Reinforcement Learning in Python online course focuses on the use of deep learning and neural networks in reinforcement learning. The course will teach about the TD Lambda algorithm to deepen the understanding of temporal difference learning, and a particular variety of neural networks called the RBF network, policy gradient method, and deep Q-Learning (DQN), and asynchronous advantage actor-critic (A3c).

Advanced AI: Deep Reinforcement Learning in Python syllabus is designed for individuals who are familiar with programming as this course comes with prerequisites such as college-level calculus, probability, object-oriented programming, python coding, Numpy coding, linear regression, gradient descent, writing ANNs and CNNs in Theano or TensorFlow, Markov decision processes (MDPs) and implement dynamic programming, Monte Carlo, and temporal difference learning to solve MDPs. The interested learners could enrol on the course by paying the fee.