Online Programming And Development Courses & Certifications

The PYTHON Programming Language course by DIYguru provides knowledge to the participants in various fields of Python language. This course deals with concepts like conditional statements, functions, lists, error handling, dictionaries, strings, and regular expressions. The course also covers concepts in debugging tools that are involved to solve the bugs in the code.

This course provides a wonderful opportunity for the students to improve their coding skills in the python language. The course can be accessed at any time from anywhere. The course includes interactive sessions with instructors that helps the candidate to clear their doubts. The participants would be trained to write programs that send email notifications. 

The participant would also be trained to write programmes that would do pattern recognition with the help of regular expression concepts.

The certificate is provided to the candidates who successfully complete the online module. This certification stands as a testimony to the candidate's programming skills in Python. It also adds value to the resume of the candidate.

The Ministry of Electronics & Information Technology, Government of India and NIELIT Haridwar campus collaborates on a Digital India platform to offer a Python Programming certification course. The course is designed in such a way that it first introduces students to the basics of the Python language starting with scripts. Within a duration of four to six weeks, the course progresses from writing and running scripts to later into more features such as regular expressions, file operations, and working with binary data. The program deals with Python and its modules with functionality. 

The Python Programming training course is also unique in providing the emphasis on Python features that are special in nature. The course at the end also offers a two-week project without any extra fee and students completing the course successfully with all required conditions are given an e certificate or certificate of completion. Since it is an online course, the student can complete the entire programme from the comfort of his or her home.

The Crash Course in Python (M) certification covers the entire thing the candidate will find in particular python programming's standard book. Throughout this sequence, the candidates can know about the different modules as well as how to implement them. Then in python, candidates will know about intra- and inter statements. Afterwards, they can learn how to use the print statement to display a similar message on the python terminal. 

Thereafter, the candidate will learn about the various forms of cycles, such as those for and while loops, accompanied by split and resume sentences. After that, they will be exposed to the variables, return expression, read lines functions, and string operators. Not just this, candidates also get to know about file processes, along with class and object definitions throughout the Crash Course in Python (M) training. 

In the entire programme, candidates will get to learn from the real practical case studies where python’s relevance sort the problem out. The entire course is designed in a particular way that will make the learning of curriculum so practical and relatable that will help the candidate to know and learn Python in a more effective way. 

Programming for Everybody (Getting Started with Python) certification is for participants who want to master the programming language Python through a short course. This course is a collective effort of the University of Michigan, and Futurelearn. FutureLearn supplies all the material related to the course via interactive articles and videos in a short format.

For the students, the Programming for Everybody (Getting Started with Python) certification syllabus will enclose topics like basic to core concepts. With progress in this course, this programming language can help with variables that can store information calculation. After the course, candidates will from a novice become a professional programmer.

The Programming for Everybody (Getting Started with Python) training requests only 4-5 hours of their entire time every week for getting a grasp on this course. With this course certificate, the learners can up their programming skills related to a computer, and take to a level further.

The C for Everyone: Structured Programming course by Coursera is the second one in their ‘Coding for Everyone: C and C++ Specialization’ programme. This training is completely self-paced, 100% virtual, and progresses towards an advanced understanding of C and C++. Besides, the deadlines are flexible, and the coursework is in the form of pre-recorded videos. Thus, you will not miss an iota of what is being taught.

The curriculum, created in collaboration with the University of California, Santa Cruz, spans across six weeks, with a practice exercise at the end of every lesson, to help you test the concepts you’ve learnt. The lessons in C will teach you the basics of programming, while the lessons in C++ will develop on those foundational lessons. Moreover, the graded quizzes and assignments with peer feedback will help gauge your expertise even further. 

Furthermore, you will also receive the certification of specialization after you successfully complete the Coursera C for Everyone: Structured Programming programme. The certificate is shareable on LinkedIn, printed Resumes, and CVs. Additionally, Coursera offers financial aid for this course as well.

The Python and Math for Data Science online programme by Metis are developed to serve as a foundation to develop your Data Science skills. This part-time course has 36 hours of learning content. You will attend two live virtual classes every week over six weeks.

During the Beginner Python and Math for Data Science certification course, you will explore the foundations of Python programming, linear algebra, probability, statistics, and calculus. Moreover, you will learn about the most common Python libraries such as Matplotlib, Pandas, and NumPy.

Metis’ Python and Math for Data Science online course will also introduce you to advanced Python concepts. These include functions, string manipulations, debugging, and error handling. This part-time programme will help you become skilled to write efficient code.

The Python and Math for Data Science training comprise detailed material on linear algebra, including vectors, linear equations, matrices, eigenvalues, etc. You will study stats topics like ANOVA, p-value, hypothesis testing and more.

C++ has stepped up in popularity because of its usefulness in writing code rapidly and compactly. The four major components of this programming language are functions, algorithms, iterators, and containers. The C++ Programming – A practical Approach by E&ICT Academy, IIT Kanpur helps candidates to deep dive into all the above in a short span of 6 weeks.

Besides, the C++ Programming – A practical Approach certification syllabus has important topics like binary numbers and memory, variables, outputting text, and the ‘if’ statement. Candidates also get acquainted with char and bool, white loops, ‘for’ loops, break and continue, arrays, classes, constructors and destructors, among others. These help candidates to develop a GUI application or a game successfully.

The C++ Programming – A practical Approach online course has practice assignments and a group project which will help candidates learn better and improve their knowledge. The course is equipped with 16 hours of video lectures. At the end of the training, students will be skilled to develop a complete programme.

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.

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.

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.