Online Programming And Development Courses & Certifications

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 online programme on Microsoft Future Ready: Principles of Machine Learning with Python Programming by FutureLearn is a part of the ethic law and the process of implementing an AI solution on the Microsoft Azure ExpertTrack course. The course will be held for a duration of five weeks on the online platform.  Upon completing the syllabus the students will learn about the fundamentals of Machine learning and further learn the mechanisms of applying it in the real world domain. The students will be working on two tools namely- Azure and Python. The appearing students will also be working on real-world examples to develop their skills and practice.

Machine Learning with Python: A Practical Introduction Certification Course will explore many popular and modern algorithms including Classification, Regression, Clustering, and models such as Train Split, Root Mean Squared Error (RMSE). Also, students will look and learn from genuine and authentic examples of machine learning and see how it affects society in ways you may not have speculated. 

Machine learning from the past few years has become an integral part of many commercial applications, software and research projects, yet this field is not exclusive to huge companies and organizations with extensive research teams. If you start to use Python language, even as a beginner, this short-term course will teach you practical ways to write and build your own machine learning solutions and machine learning applications are limited only by your imagination.

The Machine Learning with Python: A Practical Introduction Classes will be useful for the students to create products that parse, reduce, simplify and categorize computer data, and then extract actionable intelligence from that data. Machine Learning with Python: A Practical Introduction Certification Course is offered by EdX in association with IBM. There are two options for pursuing the self-paced programme; verified and free. In the verified mode, the learners can take the self-paced course by paying the fee and get unlimited access and in the free mode, they can audit it for a limited duration. 

Python for Data Science, AI & Development Certification by Coursera will guide candidates through the basics and technical aspects of one of the most popular programming languages which is taught widely in educational institutions due to its relevance in the industry. This course is a perfect start for learning Python for data science and programming in general. It adopts a beginner-friendly pace so anyone willing to know about Python as a programming language can take up the course.

Python for Data Science, AI & Development Certification Syllabus has been designed to train individuals with zero knowledge of programming to master Python in a matter of a few hours. Throughout the course, candidates will learn numerous things like Python fundamentals and data structures and analysis, supported by rich hands-on exercises within the course modules and additional reading material to polish their learnings from the lectures.

By the end of this course, learners will be adept in creating basic programs, solving real-world problems in Python and working with data. This course is well-suited as a free online learning programme for more advanced learning as well wherein professionals with tight schedules can pursue the course at their own pace.

Computing in Python III: Data Structures training will allow the students to learn about the complex ways that are included in files, data, dictionaries and lists for building and structuring programmes. The five-week programme will deal with - loops, conditionals, and functions by learning the basics of Python programming. After Computing in Python III: Data Structures comes to an end the candidates will be able to solve strong and complex programme statements. The programme comprises several parts that will be delivered with the help of short video lectures. 

The Computing in Python III: Data Structures certification by edX has included the listed topics like- lists, strings, output and inputs in its curriculum. The programme will allow the applicants to work on real-world problems. The students will be able to grade applications that will be tracked and upgrade the average score of an individual over time. The students will also be solving multiple-choice questions in the Computing in Python III: Data Structures certification course. The candidates can learn the course in a self-paced mode both during the audit or verified tracks. There are two main differences between the two tracks. The candidates will be getting unlimited time to learn the course with some money during the verified track. In the audit mode, the candidates will only have limited access to the course material free of cost without the chance to secure a certification.

Computing in Python IV: Objects and Algorithms certification offered by the platform of edx gives opportunity to all students who want to learn a python programming language and are interested to pursue this career professionally. Students have to attend the Computer in Python IV: Objects and Algorithms course in 100 per cent online mode. Participants need to spend at least 5 weeks studying for Computing in Python IV: Objects and Algorithms certification syllabus. Learners should invest 9-10 works per week to complete the course. 

Computing in Python IV: Objects and Algorithms training is created in association with Georgia Tech for this course. Students will learn about the subjects such as computer science for learning through this Computing in Python IV: Objects and Algorithms certification course. Candidates who will be able to complete the course can gain verified certification for this programme. Students need to pay the quoted amount by the platform for availing of the certificate. Students can avail the course at zero cost as well. The programme is an introductory level programme.

Participants who are interested to learn through this programme have the freedom to learn the subjects according to their schedules as this course is a self-paced learning programme. Though the course can be learned depending on one's schedule the candidates will have only limited access to the course during the audit track but unlimited time to complete the course in the verified track.

The University of Edinburgh and University ORT Uruguay provide the Code Yourself! An Introduction to Programming programme in conjunction with Coursera. Global leaders in online learning, these institutes offer the beginner-level course to individuals getting started with programming. Candidates enjoy a comfortable and comprehensive curriculum throughout the certification course.

Moreover, the modules of the Code Yourself! An Introduction to Programming online course is spread across five weeks, which candidates can finish in approximately twelve hours. You can also practice your concepts straightway on Scratch and make the most of the certification course. Besides, the instructors for the course are Dr. Areti Manataki (Teaching and Research Fellow at The University of Edinburgh) and Ines Friss de Kerreki (PhD at University ORT Uruguay).

The Code Yourself! An Introduction to Programming course is perfect for coders who are just starting since the certification course comprises understandable and accessible lectures with exciting assignments. Upon successful course completion, you will also receive a course completion certificate. 

Coursera courses give access to E-learning video lectures, quizzes, practice exercises, projects, and community discussion forums. This course is being offered by LearnQuest on Coursera. LearnQuest is a training partner delivering comprehensive industry-leading technology education classes and training solutions worldwide.

The Introduction to Programming in Swift 5 course by Coursera has been created for learners who aspire to learn about the basics of the Swift programming language and develop their career in that direction. This course will give the learners a comprehensive introduction of the basics of Swift programming language irrespective of whether they have any experience with other programming languages. 

The course will give the learners knowledge about the Swift 5 programming concepts, object-oriented programming and model view controller. They will develop the skills required to install the necessary programming tools, working with data such as Integers and Strings, working with data constructs such as arrays, dictionaries and creating reusable code with functions.

It will equip the participants to build simple programs using the Swift programming language and they will be ready to learn iOS mobile development. This course is a part of the Swift 5 iOS Application Developer Specialization Course.

Offered by the Duke University, the Pointers, Arrays and Recursion certification programme is the third programme amongst all the four programmes in Introduction in Programming in C Specialization programme. This is a beginner level programme and hence gives freedom to candidates to learn from the base. The curriculum has been developed by industry experts and so it provides a strong foundation to them. The programme introduces the candidates with the novel concepts namely, recursion, arrays and pointers. The course is delivered online via different modes namely videos, practice exercises, quiz, assignments, and many others. The programme is worth doing and is ideally best suited for professionals who want to excel and master in programming in C.

Kotlin is the modern computer programming language, it is advanced and gives more power to developers for performing everyday tasks. The kotlin language is safe, concise, and pragmatic. It is focused majorly on interoperability with another language, i.e JAVA code. The application of Kotlin is almost exactly the same place as Java is being used already: development for the server-side, and designing of android apps, etc Kotlin is one hundred percent compatible with the existing Java framework. It has great tooling support. The language is very pragmatic with an intuitive flow that makes it easy to be grasped especially for Java developers. 

This course on Kotlin for Java Developers focuses on JVM bytecode. The course concentrates on the beauty and power of Kotlin, it highlights the basics of the Kotlin language with a discussion on various corner cases, and especially the ones relating to Java interoperability. Certificate Course On Kotlin For Java Developers By Coursera is based most importantly on the Java experience, it will exhibit the similarities existing between both the languages and concentrates on the differences. 

The course is an overview of Kotlin and its interoperability with Java, It will however not cover the fundamentals of programming. It teaches learners functional programming using Kotlin, nullability, programming oriented towards the object using Kotlin, Basic syntax, Java interoperability, power of Kotlin Language standard library.

The course is an intermediate level and it is taught by experts from Jetbrains. This course will help Candidates appreciate the advanced features of using Kotlin integrated with Java. It will better prepare professionals to overcome the programming challenges they face at work and help them find workable solutions.

Data science, machine learning, and scientific computation need to solve calculation-intensive problems. Therefore, the code’s execution speed plays a key role in proper operations. The LAFF-On Programming for High-Performance certification course will teach you basic methods to speed up your code and achieve high performance on your modernistic CPUs.

The LAFF-On Programming for High-Performance by edX emphasizes on amortization of data transfer cost and picking the appropriate algorithm to accomplish considerable speedup and high efficiency. Moreover, you will learn about extracting parallelism at multiple levels and other techniques for optimizing performance.

The LAFF-On Programming for High-Performance certification syllabus utilizes notable examples of matrix-matrix multiplication to demonstrate cardinal procedures essential in pushing your modern CPUs to reach their full potential. The course has a comprehensive curriculum to equip you with the skills to implement high-efficiency techniques. It will also provide MATLAB online licenses to the learners for free during the course duration. The candidates can participate in the programme by enrolling using any of the available tracks namely audit or the verified track. During both tracks, the candidates will be able to progress at their speed but in the audit track, the course material access is limited. Moreover, in the verified track, the candidates shall be able to access the course materials for an unlimited period and during the verified track the candidates will be getting only limited period access.

Among the various programming languages the world has seen, Shell programming, also known as scripting, has cleared the test of time and continues to be many programmers’ choice from 1970 to date. This era has seen the likes of Assembly followed by C and C++. The last decade or so has seen the introduction of Python and Java as well.

Shell Programming remains prominent in routine tasks, software configuration environments as well and automation in the software arena. Thus, it is a necessity for all programmers. In some instances, its variants have also been successful. Thus, it is commonly found in many medium-sized software development teams. Its use spans testing, software production, and integration.

The Shell Programming course at edX will embrace the most popular Linux shell that has been around for 50 years now. Students will gain tremendous hands-on experience in utilizing the shell interface with its useful commands that improve productivity, thereby saving coding effort on repetitive tasks. The candidates who enroll in any track of the course will be able to progress at their speed. Both tracks - audit and verified may be opted for by the candidates for finishing the course. If the candidates want to learn for free without a certificate they may choose the audit track which is open for a limited period of access. For unlimited and paid access the students should switch over to the verified track.

Design Computing: 3D Modeling in Rhinoceros with Python Rhinoscript certification is taught for just 5 weeks provided by both Futurelarn, EIT Food, University of Turin, and the European Institute of Innovation and Technology, where candidates can decide for themselves how, and when they want to invest their time in learning. This course is intended for people who want to learn to code for designing. 

Today’s world is affected by the ardent use of algorithms, and the people who are designing should be capable of creating programs of design computing. The Design Computing: 3D Modeling in Rhinoceros with Python Rhinoscript certification syllabus has been structured in such a way that fundamental design’s problems can be solved using Python syntax, and its design. 

The Design Computing: 3D Modeling in Rhinoceros with Python Rhinoscript training will help students understand the application of geometrically focused lessons of design and its exercises. The content is taught by an esteemed professor of Michigan University who has been into research for nearly 200 years.

Much like Nvidia’s CUDA programming, OpenCL is a standard for writing parallel programs, especially for heterogeneous systems. OpenCL instructions are also synthesised into the FPGL environment. The Introduction to OpenCL on FPGAs course will discuss the basics of OpenCL standards. You will also learn about the platform, programming models, execution, and memory that define the OpenCL specification.

Moreover, the Introduction to OpenCL on FPGAs training programme will also cover the syntax of the OpenCL language. The differences and similarities between CUDA and OpenCL will be highlighted as well. Lastly, the course will navigate through the applications of OpenCL language and its advantages.

Dennis Ejorh and Nikhil Venkatesh will be your course instructors. The Introduction to OpenCL on FPGAs online course content will be delivered through readings, video lectures, and hands-on practice exercises. Lastly, if you pay for the certificate option, you will also receive a completion certificate, which you can use to highlight your skills and improve your career prospects.