Online Programming And Development Courses & Certifications

Java language is one of the most preferred and popular languages used worldwide. Offered by Duke University, the Java Programming: Arrays, Lists, and Structured Data course certification programme by Coursera, prepares the candidate to master the Java language and all the other elements associated with it. 

The program teaches several skills such as Java Programming, Hash Table, Data Structure and Cryptography. Once completed, candidates will get a shareable certificate. It can be shared electronically ahead. The programme is also available in different languages namely, Korean and English. The candidates will become master in Java programming language and learn to read and write data, solve different problems, manipulate and store data and perform many other things that are needed for creating new data structures. 

This is a 14-hour certification course that’s provided 100 percent online. Candidates will get study material in the form of recordings, online video lectures, quizzes, and assignments.

Java is one of the well-known programming languages in the world, both in terms of developing applications and software, as well as web pages and websites. To create programming solutions of the codings, candidates need an absolute grip over the concepts of Java Interface, through excellent course materials and real world projects.

Java Programming: Principles of Software Designing by Coursera brings all these features to the candidates and more. It not only teaches the candidates the know-how of developing software but also what it actually takes to build an impressive one, that is, logical and creative thinking and design.

There is more to Java than learning and implementing the codes but there are only a handful of cyber enthusiasts in the cyber world who can comprehend that while also making the most benefits from it. This course offers exactly that to the candidates in the form of a hidden gem for Java Programmers.

Introduction to Java Programming – Part 1 is ideal for learning and developing the fundamentals of elemental Java programming and the topic of data abstraction.  Introduction to Java Programming – Part 1 certification emphasizes the subject of “Computer Science”. The object-oriented framework will be provided in Introduction to Java Programming – Part 1 so that students are made familiar with problem representation. 

Introduction to Java Programming – Part 1 certification course will be focusing on - loops, statements, variables, data abstractions, loops, and others. The programme will thus be introducing the participants to the core elements of java programming. The five-week session will consist of two parts. In the first half, the applicants will be introduced to the various domains of data types, problem-solving, branching, and loops. While the second half of the course will focus on - string manipulation, simple event-driven programming, fileI/O, and others. The certification session will thus be enabling the participants to tackle real-world problems and frame solutions according to the requirements. 

The candidates will have two tracks to choose their study mode for completing this course. One is the audit track which offers self-paced learning free of cost for a limited period only. On the other hand, the other track is called the verified track which offers unlimited access to the course but for it the candidates need to pay some fee.

Introduction to Java Programming – Part 2 Online Certification online course is a self-paced learning experience that introduces you to the basics of Java programming language. The online certification is split into two five-week courses, and this second part covers some of the advanced topics such as multi-dimensional arrays and character strings. 

Furthermore, the Introduction to Java Programming – Part 2 training uses images to explain and enhance your understanding of the concepts. The course curriculum is well-curated and teaches students how to write procedural programs using control statements, loops, variables, data abstraction, and more. Ultimately, the program aims to teach how real-life problems can be solved using the right algorithm. 

Besides, Introduction to Java Programming – Part 2 certification is entirely free of cost for interested students. Moreover, it has been developed by edX in association with the prestigious Hong Kong University of Science and Technology. Students can earn a certificate by paying the fee and sharing it on LinkedIn to improve their chances of getting employed. The students may choose any one of the tracks available namely verified and audit to complete the programme. Both the tracks are self-paced but during the audit track, the candidates will get limited period access to the course. On the other hand, the verified track offers unlimited time for accessing the course.

The candidates can enroll in the Java programming fundamentals course by edX and learn the basics of coding involved while doing programming. In the world of coding, java is the most basic needed, the candidates will be taught loops, conditional statements, and syntax in the Java programming fundamentals certification course.

The course involves question sets for candidates to help them assess their learning at every stage. Assignments help them stay on track and come up with the best possible solutions. Java programming fundamentals online course will be conducted by experts who have great knowledge in this field; the candidates can reach out to them at any point for help.

Differences between the conditional statements have been covered more simply in the Java programming course. The course also involves certification for the candidates, if they go for a verified course. The certification is provided at the end of Java programming fundamentals when the candidate completes it. Edx offers 2 tracks which are namely the verified track and the audit track. For the verified track, the candidates may access the course for a lifetime by paying some fee. The audit track on the other hand is free of cost but the materials can be accessed only for a limited period access.

Java Programming: Build a Recommendation System certification is a 5-week long programme that requires only 5 hours of a participant’s time to finish off. Also, this course is part 5 of the Java Programming and Software Engineering Fundamentals Specialization. If candidates wonder a lot regarding how Netflix or Amazon decides to recommend movies or products to their user bases, then this course is a must for them.

The Java Programming: Build a Recommendation System training will help in creating recommender systems. Also, the participants will work with movie’s data that includes reviews, and customer ratings but these can be applied to restaurants, books or more. Candidates after course completion can with flair write answers to the questions based on data including what kind of items should be recommended to different user bases.

The Deep Learning on Azure with Python certification course is a five-week-long online programme designed to help you develop the critical skills required of a Machine Learning Engineer. You will understand the intricate workings of Deep Learning during this programme. You will also know about the Data Science skills needed to build Machine Learning (ML) models.

Throughout the Deep Learning on Azure with Python online programme offered by FutureLearn, you will explore how ML enables you to build complex systems. Also, you will know about its broad spectrum of applications, including medical diagnosis, self-driving cars, etc.

For building ML models during FutureLearn’s Deep Learning on Azure with Python online course, you will use Microsoft Cognitive Services on the MS Azure cloud platform. Python programming shall be used for this purpose. You will get hands-on experience and a thorough introduction to the field of Machine Learning with practical examples. Moreover, by obtaining the course certificate, you can prove to your future employers that you are job-ready and skilled in this field. 

The Introduction to R Programming for Data Science online certification was developed by IBM Skills Network and instructed by Yan Luo, Ph.D., Data Scientist, and Developer and is made available through Coursera and is targeted at individuals who are interested in learning the fundamental ideas behind data science and data analysis operations using the features of R programming. The Introduction to R Programming for Data Science online course teaches individuals about the fundamentals of the R language, including data types, data manipulation methods, and how to carry out basic programming operations.

Introduction to R Programming for Data Science online classes contains 10 hours of video-based study materials that introduce individuals to basic programming concepts, standard data structures, and data manipulation techniques, all with the assistance of the R programming language. Individuals who successfully finish this program will be able to develop a basic program in RStudio, work with data in a data frame or matrix, and complete the final project as professional data analysts utilizing Watson Studio and Jupyter notebooks to gather and evaluate data-driven insights.

Analyzing Data with Python certification course is designed by IBM and taught by Joseph Santarcangelo - PhD., Data Scientist at IBM, which is delivered by edX, which is targeted at the students looking for a comprehensive learning environment that could assist in their mastery of the concepts and methods required to develop the skills necessary for analyzing data with the Python programming language. Students who are interested in enrolling in the Analyzing Data with Python online classes by IBM and edX should be familiar with the fundamentals of programming in Python.

Analyzing Data with Python online training is a 5-week learning program that includes approximately 20 hours of extensive video-based materials that cover topics such as data loading, data manipulation, data preparation, data cleaning, linear regression, data visualization, ridge regression, polynomial regression, and machine learning models. Students who successfully finish the verified version of this program will also receive a skill badge that validates their knowledge and skills. This self-paced programme free course and they learners can upgrade it to the verified mode and get certification by paying the course fee. 

The Certificate Program in Python for Data Science training is a comprehensive programme to help you familiarise and master the most important language for machine learning and data science– Python. The course curriculum features all the necessary lessons to help you understand the key concepts of Python, such as its basics, syntax, functions, data structures, linear algebra features, plotting, predictors, and many more. 

The Certificate Program in Python for Data Science by Eruditus also focuses on preparing you to be an enhanced professional of the object-oriented language. Hence, the course will also help you understand and implement powerful packages of Python, such as Matplotlib, SciPy, Pandas, and more. These will help you get in-depth knowledge on how Python packages are used to manipulate data, create predictive and insightful models, and their applications in data science. 

Moreover, the Python for Data Science Certificate Program also provides hands-on assignments where you will implement Python’s packages and tools to get real-time industry experience. Upon completion, you will be awarded the Python for Data Science certification, conducted by IIT Bombay. 

The Python Functions, Files, and Dictionaries certification course by Coursera introduces user-defined functions and the dictionary data structure. In the curriculum, you will learn about global and local variables, optional and keyword parameter-passing, lambda expressions, named functions, and Python’s sorting function as well. You will also learn how to pass in another function as an input, to control the sorting order. 

The course also includes a final project, where you will have to read social media data from a file, write out .csv files, and compute sentiment scores. The course covers chapters 10 to 16 of the ‘Fundamentals of Python Programming’ textbook, which is available for free as the programme’s accompanying text.

Suppose you have already taken up the Python Basics course, and want to expand your knowledge of Python. In that case, the Python Functions, Files, and Dictionaries training is ideal for you. Both these courses are geared towards new students of Python programming. Those who have had some exposure to Python, need a refresher, or wish to dive deeper into it, will also get benefitted from this course.

Computing in Python II: Control Structures by edX tries to go deep into the programming world. It tries to build on the existing knowledge of operators and variables. This is neatly organized into five sections. The learners will be able to write complex programmes in Python and get Computing in Python II: Control Structures certification benefits. This certification syllabus ensures faster and more complex computing in Python ability for the learners.

The course by edX is distributed evenly in several parts. The course proceeds in short video lectures. It will have tests such as multiple choice questions and problems in coding. Computing in Python II: Control Structures certification course is a self-paced online programme. It is an introductory-level course. It offers 90% financial assistance to those learners who earn a low income annually. 

The verified learners will benefit from a verified Computing in Python II: Control Structures certificate. The Certificate of Computing in Python II: Control Structures training will have the logo of The Georgia Institute of Technology. The candidates will be learning the course either in the verified mode or the audit mode. The audit track supports course material viewing only for a limited time and the verified track mode supports unlimited course material viewing.

The Computing in Python I: Fundamentals and Procedural Programming certification course by edX is the beginning course for the candidates who are new to this programming language. It covers the basics of the processes involved in the process of compiling and debugging the code such as how a computer interprets a line of code, and how to write, run and take the output of the code. 

Computing in Python I: Fundamentals and Procedural Programming online course will train the candidates to write small programs in Python that use concepts like logical and mathematical operators. Gradually, the students will learn to program for complex problems. The Python course makes the candidates practice and solve more coding problems.

Computing in Python I: Fundamentals and Procedural Programming training consists of both audit and verified tracks. The audit track is free for the candidates to learn completely. The certification is provided only to the verified track students. The certificate awarded is verified by the student’s identification. This course is shareable and has the logo of Georgia Tech and the instructors’ signature. The candidates will be learning in a self-paced mode with limited access during the audit mode and during the verified mode, the candidates will get unlimited access.

The online certification course on Automating Real-World Tasks with Python by Coursera has been developed by Google in accordance with Coursera is a 100% online course that has the level fixed as a beginner. While availing of the session the students will get to be trained by the professionals and experts of Python language. 

In the Automating Real-World Tasks with Python certification syllabus the students will be covering the topics of-  Data Serialization, Data Serialization Formats, More About JSON1, Useful Operations for Python Requests, Sending the Email Through an SMTP Server, Adding Graphics to our PDFs1, Adding Tables to our PDFs, Introduction to Generating PDFs, Project Problem Statement and others. 

By devoting a time period of 16 hours the course can be easily completed by the students. After completing the course the students will learn to use the Application Programming Interfaces (APIs) to interact with web services.

The Crash Course on Python certification is based on an online teaching method and provides a free of cost programme to learn from. Participants who enroll in the online training will acquire information regarding programming, its features and benefits, and program writing with the help of Python. 

The Crash Course on Python certification is designed for beginner level students and lays the foundation for writing programs by Google in participation with Coursera. The course does not require any degree or experience in order to be able to pursue the programme. The online programme allows the candidates to learn from the course on their own schedules and requirements. The content of the Crash Course on the Python certification syllabus is divided into five weeks, and approximate 20 hours to learn from the course successfully. 

The program can be accessed in English, however, there are subtitles that are available in eight different languages - French, Spanish, Portuguese (European), Vietnamese, Russian., and more. The course will be mentored by the instructors who are industry experts and professionals. By the time the Crash Course on Python training course comes to an end, learners will be able to acquire a certificate at the end of the program by following the required procedure.

A part of FutureLearn's Advanced and Applied AI on Microsoft Azure ExpertTrack; the Microsoft Future Ready certification course aims to help you prepare for the various Microsoft Microcredentials. This is a data science course that runs for five weeks. 

The Microsoft Future Ready certification syllabus has been divided into weeks, steps, and activities you can pursue at your own pace. During this course, you will gain industry-specific knowledge of Python programming and machine learning through theoretical as well as practical experience. 

You will become adept at developing, validating, and deploying different types of machine learning models in the Microsoft Future Ready course. This course will also help you understand complex data relationships using Python and Azure Notebooks to derive insights effectively. 

Besides, once you complete all the steps in the Microsoft Future Ready online course, you'll be eligible for a digital certificate to verify your machine learning knowledge and skills. 

The C Programming: Getting Started Online Course will provide learners with the basic principles of C programming, which is considered one of the most popular programming languages. The learners will get the opportunity to use a browser tool and test their hands-on coding skills to learn and improve through practical applications.

The C Programming: Getting Started Training Course is taught over 5 weeks in a self-paced manner. The course is instructed by Petra Bonfert-Taylor, Professor at Dartmouth College, and Remi Sharrock, Professors at IMT. This programming course is the first course in the C Programming with Linux Professional Certificate programme.

The C Programming: Getting Started Certification course requires 4 to 5 hours weekly for learners to understand the concepts properly. The course receives financial support from the Patrick & Lina Drahi Foundation. The course will be delivered through online study materials and assessed through online assignments and exams. EdX gives two options for learners to pursue the self-paced course, namely, verified and audit-free. In the verified mode, the learners can access the self-paced course unlimitedly and in the free mode, they can audit it for a limited duration. 

Accessing, processing, and presenting data are the essentials of application development. Data is usually stored in databases, either on the cloud or on-premise. Developers need to learn how to access this data via programming languages. The Developing Applications course by edX will help you get comfortable with these programming languages and introduce you to various fundamental database concepts.

The Developing Applications course starts with SQL, a powerful yet simple programming language for managing and querying data. You will also engage in hands-on cloud database experiments. Besides SQL, the course also covers other software like Django, using which you will create a full-blown web app that can persist, present, and process data.

With the Developing Applications programme, you will also learn how to work with databases using object-oriented programming through Object-Relational Mapping (ORM). All the information will be provided through video lectures, assignments, and readings. There’s also a certificate option available if you wish to showcase your skills and advance your career.

The Introduction to Cloud Development with HTML, CSS, JavaScript online course is an IBM-based programme that has been created to help a candidate become a full-fledged cloud application engineer in the future.  The Introduction to Cloud Development with HTML, CSS, JavaScript syllabus will focus its curriculum on much of the new-age tools and languages used in the development of cloud-based applications. 

The course will cover languages that are used in front-end development such as CSS, HTML and JavaScript and learn tools that are used to keep track of project changes such as GitHub and Git. This certification is a part of multiple programmes namely IBM full-stack cloud developer professional certificate and cloud application development foundations specialization. The Introduction to Cloud Development with HTML, CSS, JavaScript by Coursera is taught by Upkar Lidder, a senior software engineer with the help of IBM resources. The course is in the online Coursera platform and can be completed within a total duration of 13 hours with a flexible schedule. 

The online session on Developing Cloud Apps with Node.js and React by Coursera will be offering an opportunity to the students to work on real-life examples in the domain of developing cloud apps. In the course, the students will be elaborating more on the server-side Javascript and the frameworks that are related to it. Upon completing the Developing Cloud Apps with Node.js and React training the students will have their skills strengthened in developing efficient web browsers. Over the period of fourteen hours the Developing Cloud Apps with Node.js and React certification syllabus will be dealing with topics namely- Working with JSON, Asynchronous I/O with callback programming, IBM cloud monitoring with LogDNA and Sysdig, Testing cloud applications, Creating callback functions, Introduction to logging and others.

The Engineering Maintainable Android Apps is a  certification programme, provided by Vanderbilt University, which is the fourth in five courses in the Android App Development Specialization. Engineering Maintainable Android Apps Certification Syllabus is intended to assist the learners to have a solid understanding of numerous methods to engineer the  Android apps,

Engineering Maintainable Android Apps Certification Course, available on the platform of Coursera, will introduce the candidates to the various related aspects including the test-driven development methods, performing the unit tests using JUnit and Robotium, and many more. Engineering Maintainable Android Apps Certification by Coursera will provide the students with a sheer glance of best practices of software engineering that enable the building of maintainable code for mobile apps. 

Data Analysis with R Programming is Google Data Analytics Certificate's seventh certification course, which provides applicants the necessary skills they need to get an introductory level data analysts’ job. The applicant would learn the programming language known as R in this course. The candidate can learn how to use RStudio and the environment for working with R throughout the course. 

This course also covers R-unique software programmes and techniques, such as R kits. Candidates will learn how R enables them to clean up, coordinate, interpret, view, and report information in fresh and more efficient ways. Current Google data analysis providers will continue to offer practical instructions and services to registered applicants for basic data analyst roles. 

Data Analysis with R Programming certification will be awarded after the successful submission of the quizzes. The candidate will adapt the new programming called ‘R’ and implement its use to solve the respective problems and get efficient solutions. 

The C++ for C programmers, Part A certification course, will help you to secure qualification in the C++ programming language, which serves as the basis for any specialisation one wants to undertake in computer science. Moreover, the simple structure of the programme will assist the beginners who wish to strengthen their foundation in the C++ language.

The C++ for C programmers, Part A course by Coursera also helps you to enhance your skills in various programming concepts such as graph theory, C++11, and Graph algorithms. Candidates will receive hands-on learning throughout the certification course via diverse practical exercises and examples. These exercises will help you improve your understanding of object-oriented software and algorithms.

Furthermore, the University of California, Santa Cruz offers the C++ for C programmers, Part A programme in conjunction with Coursera, while experienced professionals in the field instruct the training course. You can apply for the certification course to enhance your expertise and thereby, secure various career opportunities.

Coursera has designed C++ for C programmers, Part B, to transform the beginners to programmers. This course offers comprehensive knowledge of computer programming by understanding to troubleshoot, code, and decode composite problems with C and C++. The course is recommended for skilled C programmers who aspire to function in C++. The given assignments under this programme may require basic knowledge of object-oriented software and algorithms. 

In an order of four, C++ for C programmers, Part B is the last one in “Coding for Everyone: C and C++ Specialization”. While the previous courses focused on the fundamentals of programming in C and advanced C++ syntax and semantics, this course would provide a practical aspect of the programming language. Through graded assignments, the candidates would get ample opportunities in creating programmes and rectifying errors that may be while coding.

The Development of Real-Time Systems certification course focuses on embedded systems’ challenge of attaining timing correctness. With the help of this course, you will gain the necessary knowledge to plan and arrange a real-time system practically and in theory.

During the Development of Real-Time Systems online course by Coursera, you will utilise established mathematical proofs to design real-time systems on paper. Also, you will know how to apply the theory into practice with the help of prevalent scheduling techniques. The course consists of numerous examples, quizzes, video lessons, peer-reviewed assignments and practical programming assessments.

Developed by EIT Digital, the Development of Real-Time Systems syllabus will take you through the process of programming a real-time system in the C language. You will be using FreeRTOS real-time kernel for this. The programme will acquaint you with examples of these systems like emergence breaks, multimedia systems, airbags, avionics, QoS in web servers, etc.

The branch of algorithm theory that aims to solve problems related to geometric objects is known as Computational Geometry. Its application areas include computer robotics, graphics, computer-aided design, geographic information systems, and many others. In this course, candidates will learn to apply computational geometry to several algorithmic approaches and assess their strengths and weaknesses in a context. That will allow them to select the most appropriate method to approach a specific problem.

The Computational Geometry certification course covers various core computational tasks, such as computing the convex hull in a point set, testing point inclusion in a polygon, triangulating a polygon, intersecting line segments, and processing orthogonal range queries. It pays attention to the evaluation of geometric predicates and proper representation of geometric primitives, which are critical for the efficient implementation of an algorithm. 

Learners can complete the Computational Geometry course in approximately nineteen hours. Upon completion, they can purchase a shareable certificate of completion from Coursera.

This program on ‘Full Stack Applied AI Course’ is developed and designed by the data science institute for the candidates to transform into python professionals with AI and ML skills. The program is scheduled for four hundred hours and the candidates will be required to attend a total number of fifty classes in which they are allowed to explore the features of deep learning, machine learning, and data science within the scope of applied artificial intelligence to meet the business needs.

The learners will get hands-on experience with the software tools such as Python and other data science aspects. The ‘Full Stacked Applied AI online course’ curriculum is application-based and includes data extraction, wrangling statistical frameworks, supervised and unsupervised machine learning strategies that are required for various applications of AI. The assignments, case studies, projects, and evaluation helps the students upskill themselves with experimental industrial insights and gain a valuable certification.

Aptech Learning offers the Data Structures in C programme, and it is part of their short-term course offering. Data structures efficiently collect and organise data and enable the rendering of data elements for improved organisation and storage. The course curriculum covers important data structure concepts and skills that are employed in C.

Aptech Learning’s Data Structure in C course will allow the participating candidates to pursue a lucrative career as a C programmer. The course focuses on familiarising the candidates with basics such as algorithm analysis, queues, arrays, trees, graphs, and strings. Furthermore, the curriculum covers advanced concepts associated with data structures in C.

For the Aptech Learning Data Structures in C training, candidates can also avail of an instant student loan facility. It can be utilised to fund their Aptech learning experience. In addition, the course spans only one month, and thus, the learners can acquire industry-ready skills in a short duration. Sessions are usually scheduled for two hours each, thrice a week.

The Intro to Frontend Development Course by CareerFoundry is your ultimate quick fix for designing and delivering easy-to-interact websites. It is a short 1-month course that covers all the basics of frontend web development. 

Learners will explore the two basic languages of HTML and CSS through the Intro to Frontend Development training. They will also learn about the ins and outs of building responsive layouts, applying core development skills, and debugging. Besides, an expert mentor tailored to your unique needs will always be by your side, giving valuable feedback and clearing doubts along the way. 

There's also the benefit of study flexibility as you only need to devote 15 to 20 hours per week towards course completion. Moreover, if it takes you more than a month, you will receive a 1-month extension + mentor time at no extra cost. 

Besides an official certificate, you will also get access to a global community of over 3,000 students, alumni, and career specialists. The Intro to Frontend Development certification course will boost your career skill set, and by learning to code, you will maximise the value you add to your company.

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Web Development Course Online
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Computational thinking is a problem-solving process this includes a number of dispositions and characteristics. CT is essential to the development of computer applications, besides this, it can also be used to support problem-solving across all disciplines, this includes math, science, and the humanities. C programming is the foundational computer programming language that is widely used in technology and helps in building applications. The Computational Thinking with Beginning C Programming Specialization course is a combo course that provides knowledge and skills in computational thinking and C programming. 

Computational Thinking with Beginning C Programming Specialization certification course is offered by the University of Colorado and Coursera for learners who are keen to be a part of this domain. This is a beginner-friendly, self-paced course that can be completed in approximately 1 months. The course comprises 4 courses that ensure the overall development of the learner. If the learner is unable to afford the course, he or she shall get financial aid from Coursera. The learner shall also receive Computational Thinking with Beginning C Programming Specialization certification by Coursera.