List of Online Courses and Certifications

If you have already learnt about the basics of Algorithms, you are now ready to take the next logical step into more complex algorithms and problem-solving. The idea behind this Advanced Algorithm and Complexity course is to teach you how to build upon the algorithm basics and utilize new ideas. In this course, we will be starting with network flows that are employed in the typical applications like detecting disjoint paths, optimal matching, and flight schedules along with a few other surprising applications like the segmentation of images in computer vision.

In the next segment, we teach linear programming with its application in allotting and optimizing budgets, Portfolio optimization, finding a diet that is cheap and satisfies all the requirements. Further, we discuss the inherent hard problems that have no perfectly good solutions known (and neither are likely to be found) and how you can solve them in practice. The course finishes with a slight introduction to the streaming of algorithms that are used, most heavily in Big Data Processing. These algorithms are mostly designed to process huge data sets without being capable of storing even a single dataset.

The Certification course on Learn to Program: The Fundamentals is taught by professors of the Toronto University. This course will introduce the simplest fundamentals of programming that act as the building blocks for every program written on computers. This course will help you develop an understanding and liking of the way programs function and how you can write simple and effective programs by making the use of Python language.

It is an introductory course for anyone interested in learning about programming and the Python language. It helps candidates in developing an insight into the basics and functioning of program writing. The course teaches simple ways to design and write programs using variables and functions. The course goes into detail about various Python basics and their applications. It helps you in having an overall understanding of Python Program writing fundamentals.

Further, the course will help you understand how you can solve various challenges using different conditions of Python. The programs learned in this course will help candidates take the first step into the world of computer languages and programming. Complete with assignments and quizzes, this course is the perfect way to get started with a career in Python and computer programming.

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.

The Responsive Website Basics: Code with HTML, CSS, and JavaScript certification by Coursera has been designed to focus on the three key computer programming languages that are used for designing and programming. Students will get to learn the languages as well as create an interactive web page using basic elements while controlling layout and style.  

The Responsive Website Basics: Code with HTML, CSS, and JavaScript certification by Coursera in collaboration with Goldsmiths, University of London aims to teach students the functions along with defining the purpose of the languages. This course is the first step in the Responsive Website Development and Design Specialisation series by Coursera, which contains a total of six courses. In the course, you will learn three important web development and web designing languages such as javascript, HTML, and CSS.

Furthermore, the Responsive Website Basics: Code with HTML, CSS, and JavaScript certification course is an online and self-paced programme that enables students to learn according to their own schedules and from their homes. The course focuses on practical aspects equally, and therefore, students need to complete assignments as well as practice exercises during the course.

Principles of Computing (Part 2), available on Coursera, is developed and administered by Rice University to render the candidates a detailed knowledge of the whole range of aspects of computer science such as computing, fundamental concepts of mathematics and programming. This course is the 4th of 7 courses in the Fundamentals of Computing Specialization. 

Computing (Part 2) Certification Course, provided by Coursera, will help the learners to gain a thorough understanding of programming needed to develop effective and efficient solutions for computational problems using the Python programming language. During the programme, the students will be given adequate practical training using hands-on weekly mini-projects based on the mathematical and programming principles covered in the programme. 

Principles of Computing (Part 2) Certification by Coursera will touch not only on the aspects of programming such as recursion, assertions, and invariants; but also on the strands of mathematics including searching, sorting, and recursive data structures. Principles of Computing (Part 2) Certification Syllabus will assist candidates to upgrade their capability to write well-made software and come up with outstanding solutions for computational issues by developing algorithms. 

Principles of Computing (Part 1) is an intermediate-level programme meant to train the students on the principles of computing. The two-part programme, administered by Rice University, has been built based on the programming skills and knowledge in the course 'Introduction to Interactive Programming in Python’. Principles of Computing (Part 1) Certification Syllabus is structured in two parts. The first part will focus on the programming and will discuss the related concepts such as coding standards and testing. 

The second part of the Principles of Computing (Part 1) Certification Course i,e the mathematical part, will talk about probability, combinatorics, etc along with their practical application in computer science. Principles of Computing (Part 1) Certification by Coursera, offered by Coursera, is the third in 7 courses of Fundamentals of Computing Specialization. 

Here most standard combinatorial settings are addressed in the Combinatorics and Probability course that can help answer questions of this nature. In particular, this course focuses on improving the ability to differentiate these settings from algorithmic problems in real life. This will assist candidates to apply new knowledge in practice. Besides that recursive counting technique that is necessary for algorithmic implementations is also addressed here.

The Combinatorics and Probability course is part of Introduction to Discrete Mathematics for Computer Science Specialisation. There are total of five courses in it and Combinatorics and Probability is the second one. The language of computer science is known as Discrete Mathematics. In many areas including data science, software engineering and machine learning, one needs to work fluently. Via a fun approach, candidates are introduced to this language. Firstly they will solve several interactive puzzles that are specially designed especially for this online specialisation. Then actual solving methods and significant ideas will be introduced to them. It is sure that candidates will gain a deeper understanding in this way and will appreciate the beauty of the underlying concepts better. Programming examples, projects and problems are integrated into the specialisation in order to get the knowledge closer to IT applications.

Developing a comprehensive insight into the level of understanding of artificial intelligence (AI) and how to distinguish between reality and hype Artificial intelligence is the modelling of human intelligence processes by machines, especially computer systems. 

The Artificial Intelligence: Distinguishing Between Fact and Fiction course explains how to learn different elements of human intellect and differentiate between the claims and existing realities of AI. The Artificial Intelligence: Distinguishing Between Fact and Fiction certification was developed by Coventry University, which received five QS Stars for Teaching and Online Learning, which is offered through FutureLearn. Artificial Intelligence: Distinguishing Between Fact and Fiction training is a comprehensive programme that comprises two weeks of open-level digital lessons, operates entirely online with an unlimited membership and teaches about the characteristics of human intellect as well as the reality of AI.

VLSI chip is a modern and complex chip that is often called a remarkable beast. It packs a billion transistors, logic gates employed in millions to compute and control, huge memory blocks, a third party worked, pre-designed functions that come in blocks (IP blocks or Intellectual Property blocks) embedded in the chip. How can you actually design this chip? The sequence of CAD tools that use abstract descriptions provided for the chip which are refined meticulously in steps to come up with a final design. 

This course is a second part of the VLSI CAD course called the certification course on VLSI CAD Part II: Layout. The course focuses on the important tools that are used for designing and creating an ASIC (Application Specific Integrated Circuit) or an SoC design process (System of Chip). The main target of this course is to help candidates develop an understanding and better knowledge of the key geometrical and logical representations that make it feasible to map from the logic part to layout and particularly to route, place, to evaluate the perfect timing of the large logic networks. 

The VLSI CAD Part II: Layout certificate programme goal is that candidates should be able to utilize and understand the working of tools right at the basic level of its fundamental logic and algorithms and the supporting data structures. The Course is well-curated to include ASIC routing and placement, technology mapping, Analysis of timing involved, etc

The VLSI CAD Part1: Logic course by Coursera has been designed to focus on computer-aided design (CAD), and its major design tools to create an Application Specific Integrated Circuit (ASIC) or a System on Chip (SoC) design. The course begins by shedding light on the key representations of Boolean logic that make it possible to synthesize and verify gate-level logic in designs. We further move along the design chain from logic to layout.

This course teaches students to understand how these tools work at their fundamental algorithms and data structures levels. The Coursera VLSI CAD Part1: Logic course includes topics like Computational Boolean algebra, logic verification, and logic synthesis.

Furthermore, Coursera’s VLSI CAD Part1: The logic programme is an online learning course that allows the students to train at their own convenience and pace. The course has been offered by the University of Illinois at Urbana-Champaign which is known for its programs, academic excellence, and internationally renowned faculty as well as alumni.

Learn how digital images and videos are produced, altered, processed, and used from the Image and Video Processing: From Mars to Hollywood with a Stop at the Hospital programme offered by the Duke University. From how computers and digital cameras shape pictures to the use of special effects in Hollywood movies to how the Mars Rover has been able to send photos through millions of miles of space, candidates will be introduced to the vast world of digital imaging.

The Image and Video Processing: From Mars to Hollywood with a Stop at the Hospital programme begins by looking at how the human visual system functions and then shows you how digital images work in mathematics, engineering and computer science. Candidates will learn the basic algorithms used for image adjustment and explore the standards of JPEG and MPEG for video image encoding and compression. They will learn about image segmentation, filtering and noise reduction. Finally, the programme will finish with methods of image processing used in the medical field.

In this era of technology, the world has evolved to an extent that we have become dependent on networking for growth and survival. Active networking is said to be vital in career growth by building one`s reputation in every form. Exchange of information during challenges is beneficial for networking as it allows one to gain new insights that wouldn’t be possible to get otherwise. 

Every company searches for employees that have good knowledge about it and can handle the company's network effectively in a smart manner. This course will help the candidate learn and gain about the process work and train them in the field of networking by learning in detail about its bits and bytes and help them gain mastery. The course is designed by keeping in mind all the needs that are required for a beginner to learn in order to successfully finish the course and upgrade their portfolio.

Getting Started with SAS programming course certification is for the learners who want to acquire skills and gain knowledge about SAS programming. This course is helpful for learners who are just beginners. The SAS programming language is a system programming language which is operated for statistical analysis. It can easily be used as common spreadsheets and databases for better understanding of the contents. SAS programming language is most commonly used in the commercial market and is open-source software. 

SAS stands for Statistical Analysis System. It is a software suite developed to ease statistical and commercial market analysis. SAS programming can easily process complex data and give out various insights that help in better decision making or predict possible solutions for the problem.  SAS is a very powerful analytics programme for various organizations who needs an urgent solution from their data. SAS provides a bunch of analytics solutions and helps by providing industry knowledge for easy access to the solutions. 

Machine Learning has emerged as one of the most popular branches of engineering over the years. The Python program is a popular language for programming as the syntax is simpler and it consists of a lot of code libraries, which makes coding relatively easy, as compared to its counterparts. 

Summer Training Program on Machine Learning using Python (Development and Deployment) Certification Course from the Electronics & ICT Academy of IIT-Roorkee is specifically designed to train students in Python coding, in the field of ML engineering. The duration of the course is 14 days and 40 hours. The number of seats is 60. The Training is coordinated by Professor R. Balasubramanian and Professor Partha Pratim Ray from IIT-Roorkee, along with Professor Sanjeev Manhas serving as the Principal Investigator.

The course trains students for a career in Machine Learning engineering or Data Science, which according to Kdnuggets, will generate about one million job opportunities in the near future. Also, the popular Forbes magazine has listed Data science as one of the best jobs to pursue as a career.

The soul of programming is said to be data structures and algorithms. Data structures aim to hold the data while the algorithms aim to solve the problem using the data. Data structures are the key to the computer algorithms which help the programmers to manage the data efficiently. The perfect selection of data helps to enhance the efficiency of the computer programme.

Computer science in this era is all about sorting and computing from given data. So, it is necessary to have a powerful knowledge about data structure, it will help one deal with different ways of arranging, storing and processing the data. It helps in utilizing maximum space and also decreases the complexity in deletion of data, addition as well as insertion of data.

To be a successful data processor one should acquire all the skills appropriately and should master their skills that will make them stand out of the crowd. Each and every company searches for an employee who has the ability to overcome all the problems and keep up to the needs and the requirements of the company. This is the platform where they can shape their skills for the same.

The Analysis of Algorithms online course familiarises students with calculating the computational complexity of algorithms. The training also covers function generation, recurrences, telescoping, and more concepts related to the scientific study of algorithm performance. Candidates learn about real asymptotics, symbolic methods, and basic structures like words, permutations, strings, trees, and mappings, through the programme.

The Coursera Analysis of Algorithms programme is 100% online and free course. It consists of pre-recorded video lectures, pop quizzes, readings, assignments, and practical exercises across a nine-week curriculum. Robert Sedgewick, who is currently the William O. Baker Professor of Computer Science at Princeton, will be your instructor. 

The Online Analysis of Algorithms training course is an advanced-level programme offered in collaboration with Princeton University. Candidates will need approximately 20 hours to finish this course. Besides, you will get English subtitles for the video lectures and flexible deadlines to learn at ease. Since this is free training; candidates will not receive a certification.

Offered by Duke University, the Writing, Running and Fixing Code in C Programme, is ideal for professionals interested in learning and mastering the basics of programming language. The need of the hour, coding is one of the most sought after areas that is always and will remain in trend. Understanding the key requisites of the corporate world, the programme will enable candidates to learn and master different skills namely, debugging, compiler, C Programming and many others. The programme is a beginner level programme and can be pursued by professionals keen on learning to code. To make it easy, the programme is also accessible in different languages apart from English. The candidate will learn about planning algorithms, compiling and thereafter running it. The programme offers a certificate in the end if successfully completed.

C# is one of the best programming languages for beginners and professional programmers alike. And the Unity game engine is becoming increasingly popular among indie game developers. In 2016, Unity games were downloaded 16,000,000,000.

The More C# Programming and Unity course, explains why C# and Unity should be used instead of some other language and game engine. Throughout this course, learners will continue building their foundational Unity and C# knowledge by exploring more Unity and C# topics.

The More C# Programming and Unity course is part of the C# Programming for Unity Game Development Specialization programme offered by the University of Colorado. The curriculum for this course is designed with the assumption that candidates have taken the previous course in the specialization, and have the prerequisite knowledge. Therefore, before applying to this course, candidates must make sure that they have that knowledge, either by taking the previous course or from personal experience.

Coursera provides an array of courses in diverse fields. These courses include E-learning videos, projects, community forums, peer reviews, and practice exercises. This course is being offered by the University of Washington on Coursera. 

The framework of the Programming Languages, Part C course by Coursera has been designed to give the learners exposure to the basic concepts of programming languages. This course strongly focuses on functional programming as it is important for learning how to write robust, elegant, composable and reusable programmes.

The course offers a blended curriculum which trains the participants in using language constructs effectively and designing correct and elegant programs. The coursework utilizes the languages Ruby, Racket, and ML as vehicles for teaching the concepts which will make the participants more efficient in programming in any language and learning the new ones at the same time. This course, Part C is a part of a 3- part course. The instructor for this course is Dan Grossman, a professor at the University of Washington who has been teaching programming languages at the University since 2003. He holds the J. Ray Bowen Professorship For Innovation In Engineering Education.

Julia Scientific Programming is designed for the beginner-level learners to make a detailed understanding of Julia which is the high-performance programming language developed exclusively for scientific computing, physics, chemistry, astronomy, bioinformatics, engineering, data science, etc. Julia Scientific Programming Certification Syllabus, prepared and instructed by Juan H Klopper and Henri Laurie, will shed light on various aspects of Julia such as command line, variables, functions, program files, and the like. 

Julia Scientific Programming Certification Course, available on Coursera, is offered by the University of Cape Town and includes on-screen demonstrations, video lectures, quizzes, practical peer-reviewed projects, etc. Julia Scientific Programming Certification by Coursera is structured in a flexible fashion that enables the learners to learn at their own pace and decide the deadline as per their schedule. 

The Introduction to CSS3 by Coursera is the second course in the specialisation of “Web Design for Everybody.” It is structured to help you get familiarised with the basics of Cascading Style Sheets (CSS3). The course curriculum focuses on how CSS3 is used to stylize websites through unique layouts, fonts, and customised shades. It will teach you mainly about writing CSS rules, how you can test codes, and establishing professional programming habits. 

The Introduction to CSS3 by Coursera has been designed in association with the University of Michigan, Ann Arbor. Industry-expert instructors will teach you the core concepts such as styling with CSS3, pseudo-classes, transitions, and more. These will help you gain fluency in evaluating web pages, sketching designs, and implementing those using CSS. The programme will teach you how CSS is used in web development to enhance the styling of web pages and ensure that they do not create barriers for viewers with physical and cognitive disabilities. 

Furthermore, the Introduction to CSS3 certification course features free enrolment, fully online learning, pre-recorded course content, and flexible deadlines. They allow you to learn the concepts at your own pace. After completing the course, you will receive the certificate. 

The Introduction to Automated Analysis Online Course is an intermediate level course and third course out of the four-course series, Software Testing and Automation Specialization. The 100% online course available on the Coursera platform introduces learners to state-of-the-art systems and techniques for automated analysis. 

The Introduction to Automated Analysis Certification Course helps learners in understanding the approaches of automated analysis in generating tests and checking for defects in the software that could lead to security issues. The course is taught by Mike and Kevin Wendt, Department of Computer Science and Engineering from The University of Minnesota.

The Introduction to Automated Analysis Live Course is delivered through expert video lectures, academic readings and practice exercises. The course can be set to flexible deadlines according to the learner's schedule. After completion of the course, you will gain a shareable certificate of completion.

The Excel/VBA for Creative Problem Solving, Part 1 course is a comprehensive 6-week study designed for learners looking to improve, expand, and optimise their Excel skills. This programme delves deep into the world of Visual Basic for Applications (VBA) and its robust automation, programming, and customisation functionalities.

The Excel/VBA for Creative Problem Solving, Part 1 training programme, is the first course in a three-part specialisation that aims at instilling problem-solving skills by leveraging various computational techniques employed by Excel/VBA. The curriculum includes crucial practice exercises at the end of each week’s module to help you consolidate the knowledge gathered throughout the week.

Moreover, the Online Excel/VBA Creative Problem Solving, Part 1 course by Coursera includes real-life problems that will help you realise the industry problems you might face in your career. Further, to pass each module, you will need to achieve the minimum required marks in the given week’s problem-solving assignment along with the mastery quiz. Upon successful course completion, you also receive a certificate of completion from Coursera and the University of Colorado Boulder. You can share the certificate directly on your LinkedIn profile.

Java is a popular programming language that offers a lot of opportunities to aspiring coders wanting to build a career for themselves. This course by Coursera brought in association with Duke University, is exactly what one needs.

Java Programming: Solving Problems with Software is although a single course but can be applied to use for Certificate Programs or Specialisation courses all the same because of its diverse syllabus on a beginner level. The candidates will learn a lot from the contents of the course like developing and debugging programs and designing algorithms.

It teaches problem-solving techniques that come in very handy in jobs thus providing essential industry-relevant skills and preparing candidates to become the best in their leagues. As the world etches closer to a highly digitized reality being in the coding business will profit the candidates largely, and this course is the way to it.

The Parallel Programming in Java online course by Coursera is the first of the three-course Specialization in the Parallel, Concurrent, and Distributed Programming in Java. The certification course takes approximately 19 hours for completion and is an intermediate-level course in terms of difficulty.

Moreover, the Parallel Programming in Java certification course is offered by Rice University, which is one of the top 20 universities in the United States and holds a global ranking among the top 100 universities. The instructor for this course is Professor Vivek Sarkar, who has worked on multiple projects on parallel programming, making him an expert on the subject.

The Parallel Programming in Java online course is an excellent introduction to parallel programming and java concurrency. The certification course comprises exciting and informative lectures, helpful summaries, fun quizzes, active discussion boards, and graded assignments. Coursera also gives you a certificate upon successful completion of the course.

The Distributed Programming in Java programme by Coursera introduces you to the fundamental concepts of Distributed Programming in Java 8. The course will equip learners with practical skills of using popular distributed programming frameworks in Java programming. These include Sockets, Hadoop, Spark, Multicast Sockets, Kafka, RMI and MPI. Besides, you will learn different approaches on how to combine distribution with multithreading.

Rice University offers the Distributed Programming in Java course. It is taught by a top instructor of Coursera and is the third part of a three-part programme, “Parallel, Concurrent and Distributed Programming in Java Specialisation”. It is a 100 percent online course with plenty of video-lectures that are delivered in English. It has seven modules and can be completed in approximately 18 hours. Further, there are assignments and quizzes at the end of every module of the curriculum.

Moreover, the Coursera Distributed Programming in Java programme offers you the opportunity to earn a shareable course completion certificate.

The Programming for Everybody (Getting Started with Python) certification course is the perfect head-start to help you get familiarised with computer programming basics using the powerful programming language, Python. The course covers the Python 3 software and the basics of constructing a program from several simple Python instructions. This programme covers the first five chapters of the “Python for Everybody” textbook. After completion, you will be able to undertake advanced programming courses as well. 

The Programming for Everybody (Getting Started with Python) online course has been built in collaboration with the University of Michigan. It consists of pre-recorded course videos, readings, graded assignments, quizzes, practice quizzes, and more. Through these, you will learn the core concepts such as Python programming, its uses, expressions, variables, iterations, loops, and more.

Moreover, the Programming for Everybody (Getting Started with Python) training by Coursera is designed to fit your busy schedule. Hence, there are flexible deadlines, recorded content, and is entirely online. The curriculum content is available in English with subtitles in Chinese (Simplified), Arabic, German, Turkish, Korean, and English. 

The Python Foundations for AI/ML training is a beginner’s course where you can learn the fundamentals of the programming language called Python. Today, Python has become essential in the IT field amid technical advancements. This course helps explicitly to build your knowledge and use Python for artificial intelligence and machine learning.  

Multinational firms use artificial intelligence to bring efficiency to their operations. The Python Foundations for AI/ML certification course will help candidates get better opportunities in their careers and to enhance their earnings. The course also equips you with the knowledge of the current trends and practices followed by industries to navigate through artificial intelligence and machine learning.   

The Python Foundations for AI/ML online programme is taught by Asokan Pichai, who is considered to be the programming guru and has 35 years of experience in the software development field. The course curriculum has a mini hackathon towards the end to polish your skills and tests your progress. 

Foundations of Objective-C App Development is an online course created and provided by the University of California and instructed jointly by Don Patterson, the Associate Professor at Informatics and Computer Science, and Sam Kaufman, the Partner at Gradient. Foundations of Objective-C App Development Certification Syllabus is intended to assist the students to have a deep understanding of Objective-C programming language and the process of developing an Objective-C App. 

To pursue the Foundations of Objective-C App Development Certification, offered by Coursera, the learners will need a Mac laptop, desktop computer, or an iOS device with a simulator to work with Objective-C programming. The foundations of Objective-C App Development Certification by Coursera will facilitate the learners to build a solid foundation of numerous advanced aspects of iOS development and build the potential for developing iOS apps. 

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.