List of Online Courses and Certifications

The Introduction to Blockchain Technologies programme by Coursera will familiarise you with the essential skills and principles of Blockchain technology. Coursera offers the certification course in association with the world’s leading business school – INSEAD. 

The Introduction to Blockchain Technologies course primarily covers the fundamentals of Blockchain technology and strengthens your understanding, as well as the knowledge, of why the technology has become so revolutionary. Furthermore, the course commences with understanding the limitations of the use of the internet in business and other economic activity. 

The Introduction to Blockchain Technologies online course further enhances the essential concepts of Blockchain such as mining, public-key cryptography, proof-of-work, hashing, and double-spend problems. The online course also covers the common challenges faced during the development of Blockchain and the seven fundamental design principles of the technology. 

Besides, a certification in Blockchain also provides a unique opportunity to meet the key players who work in the Blockchain environment. Therefore, the Introduction to Blockchain Technologies course will not only equip you with skills to thoroughly understand the concept of Blockchain but also, to teach others about the technology with ease. 

The Fundamentals of Network Communication course by Coursera is an intermediate-level course that is part of the Computer communications Specialisation. It will take you back to the core of networks and help you identify the major functions and concepts that are the crux of layered IT architecture. You will learn about how networks support the services and protocols.

Through the Fundamentals of Network Communication online programme, you will explore the field of digital communication and understand its fundamental concepts. The curriculum covers the error control techniques such as polynomial code, internet checksum, and parity check.

The University of Colorado offers the Fundamentals of Network Communication training course. Your instructor will be a highly qualified professional, Interim Dean Xiaobo Zhou, who will deliver the lectures via pre-recorded videos. This course is entirely self-paced and online. So, you can enjoy learning about computer communications at your own pace and comfort. Upon course completion, you can earn a shareable certificate.

In the present age of technology, where the world is moving at a very fast pace, the advances in technology with the help of robotics seem to have never-ending horizons if taken up as a career. The course is for people who are inquisitive about robots and are willing to take-up robotics as a career. It is for someone who is intending to put efforts in order to learn the basics of mathematical modelling techniques that are applied in all subsidiary fields of robotics.

The course Modern Robotics, Course1: Foundations of Robot Motion is a part of specialisation- Modern Robotics: Mechanics, planning, and control that consist of six short courses that prepare the student for taking up advanced study in robotics or pursue robotics as a profession.

In the course 1-Foundation of Robot motion, the participant will learn about the basic material required for the robot configuration in robots with closed chains and in robots with serial mechanisms.

The participant will be building a library having a collection of robotics software in various languages like MATLAB, Python, and Mathematica, etc. They will also be making the use of robotic simulator V-REP on the cross-platform, which will assist them to create DIY (Do it yourself) robots at their home with no cost or investment involved.

Cloud Computing Applications, Part 2: Big Data and Applications in the Cloud is the online certification programme offered by Coursera. It is the online certification programme made available by the University of Illinois at Urbana-Champaign. Cloud Computing Applications, Part 2: Big Data and Applications in the Cloud Certification Course can only be taken by the learners as part of the two-course series ‘Cloud Computing Specialization’ offered by the  University of Illinois at Urbana-Champaign. The programme helps the learners explore cloud computing and big data. 

Administered by Coursera, Cloud Computing Applications, Part 2: Big Data and Applications in the Cloud Training will explore the applications of cloud computing and will closely examine deep learning technologies, cloud computing platform, mobile cloud computing, graph processing,  large-scale data storage, examples of cloud-based applications and the like. Plus, the course will cover novel applications of cloud computing and cloud computing applications in business. Cloud Computing Applications, Part 2: Big Data and Applications in the Cloud Certification by Coursera is designed in a self-paced mode and can be covered within the minimum duration of 2 weeks. 

The course of inferring causal effects from the observational data offered by the platform of Coursera is free of cost course. The enrolled candidate can get a certificate for this course after paying a fixed amount according to the guidelines of the Coursera platform. The duration for this course is 5 weeks. This course is taught under the guidance of experts from the University of Pennsylvania. The E-certificate is available after the completion of this course.

The enrolled candidates will be provided with all the quizzes, assignments, video lectures, web links for books and references. As this course is free of cost and online, it is easily accessible for all the sections of society. Financial aid is also provided. The course of inferring causal effects from the observational data is highly recommended for all the students, teachers and researchers who are interested in this field. Financial aid is also available for all learners who cannot afford the fee. Total 33 percent of people started a new career after completing this course and 29 percent of them got career benefits after pursuing this course.

The University of Alberta and Alberta Machine Intelligence Institute offer the Sample-based Learning Methods training programme in conjunction with Coursera. An intermediate-level course, the programme is spread across four weeks, with intensive modules on reinforcement learning. The course will also help you understand how learning from experience can help you attain optimal behaviour. 

The Sample-based Learning Methods certification course will help you understand concepts like Temporal Difference learning, Monte Carlo strategy, exploration, dynamic programming, and more. Moreover, the certification course will provide you with a chance to apply TD algorithms, Expected Sarsa, Q-learning, and more.

Instructors will conclude the Sample-based Learning Methods online course by looking at how algorithms can combine model-based planning and temporal difference updates to fast-track learning. Additionally, the certification course offers the flexibility to learn at your own pace in your own time and set your own deadlines. 

You will also receive a combined shareable certificate from the University of Alberta and Coursera, upon completion of the Sample-based Learning Methods course.

Geometric problems have always been solved via geometric algorithms. Functioning using geometric algorithms requires a thorough understanding of numerous mathematical topics, including algebra, differential geometry, topology, combinatorial optimization, etc. The Geometric Algorithms certification course was developed by EID Digital and is offered through Coursera, which is instructed by Dr. Kevin Buchin, a professor of mathematics and computer science at the Eindhoven University of Technology.

The Geometric Algorithms online course provides the methods and ideas required for the creation and study of geometric algorithms and data structures and covers the algorithmic aspects of computer science, computer graphics, robotics, and virtual reality. The Geometric Algorithms online classes provide 2 weeks of in-depth video lectures covering the fundamentals of line sweep algorithms, plane sweep algorithms, and numerous triangulations. By the completion of the course, applicants will be capable of selecting the algorithm or data structure that should be applied to study a given problem and find a solution.

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.

A descriptive manual for a fundamental redesign of a complete network, including the cloud, wide-area network, branches, data centers, remote user access, and network security infrastructure, is called network transformation. Intel® Network Academy - Network Transformation 101 online certification is created by Intel and is taught by Intel Network Academy which is offered by Coursera for individuals who want to develop their skills in network transformation and software networking operations.

Intel® Network Academy - Network Transformation 101 online course provides 2 weeks of digital resources that cover a range of the topic including software-defined infrastructure, network functions virtualization, software-defined WAN, network slicing, service provider transformation, software-defined networking, communication service provider, telco cloud, visual cloud, artificial intelligence, IoT licensing, IoT wireless technologies, radio access technology, cellular technology, and more. By the end of the Intel® Network Academy - Network Transformation 101 online classes, individuals will have acquired knowledge of key Intel technologies, industry trends, and technical aspects of NFV deployments.

The technological advancements have it's pro`s as well as cons. Nowadays cybercriminals have become more advanced and use sophisticated tools that one cannot even think of and cause devastating effects. To avoid such problems, one needs to rethink their security and amend accordingly for the same.

With the increasing risks of cyberattacks, cyber security needs to be taken care of by each and every business company to avoid digital dark arts. Which would not only prevent disruption of the company's revenue and details but also will help them maintain competitiveness in the industry. Therefore, they will always have to evolve their security with the evolution of technology.

This is a perfect platform to learn about IT security and how to defend against the digital dark arts. Our course is designed in a way which will help the beginners to understand things easily and make it easy for them to grasp knowledge.

Offered by the University of Michigan, the Internet History, Technology, and Security programme by Coursera will lay an emphasis in the life of candidates who want to make a career in the field of networks and Internet. Understanding the key importance of the web and the Internet, candidates will start taking this area seriously. They will gain knowledge as to how the web and internet can be used to create something massive, innovative and lastly helping the society in progressing. 

The programme has been conceptualised keeping future trends into consideration. The candidates will hold expertise in this field and gain immense learning in Internet Protocol, Internet Security, Internet and Internet Architecture. 

This is a 15-hour course and candidates will receive a certification after they submit all the assignments and meet the requirements. Candidates who are willing to enrol in the programme but are facing financial difficulties can apply for financial aid as well.

A geographic information system or GIS is a new technology that helps in creating, analyzing, managing, and mapping all types of data. Because of too many advantages, the software is used by many prominent companies. The data acquisition in the GIS is the process of sampling signals that measure the physical conditions of the real world and convert the resulting samples into digital numeric values that can be manipulated by a computer. GIS Map design is the process of creating a map to represent geographic information. The course of GIS Data Acquisition and Map Design is an initiative by Coursera and the University of Toronto for learners who are keen to learn about GIS. 

GIS Data Acquisition and Map Design training will be given by the experts of the University of Toronto to the students through the online mode. This is a beginner-friendly course that can be completed in 2 weeks. The students shall have flexible deadlines for the course. This course is the second out of the four courses offered by Coursera in the domain of GIS. The candidates will also receive GIS Data Acquisition and Map Design certification by Coursera at the end of the course. 

Also Read: Geographic Information Systems

The Machine Learning with Python certification course offered by IBM is a comprehensive program designed to introduce learners to the basics of machine learning using the Python programming language. Machine Learning with Python programme offered by IBM is the 13 hours (approx.) duration certification course having 6 moudules in total where students can learn on their own pace.

The Machine Learning with Python  certification course, offered by IBM via Coursera, is the intermediate level programme where students will learn classification techniques using different classification algorithms, namely K-Nearest Neighbors (KNN), decision trees, and Logistic Regression. You’ll also learn about the importance and different types of clustering such as k-means, hierarchical clustering, and DBSCAN.  Machine Learning with Python certification course offered by IBM helps the students to learn new concepts from industry experts and develop job-relevant skills with hands-on projects along with shareable career certificate from IBM.

The method of programming commands for computers to follow is known as computer programming. The commands, commonly referred to as code, are written in a programming language that the system can comprehend and use to take the action or address a condition. The Introduction to Computer Programming certification course, which is offered by Coursera, was created by the University of London and is instructed by Dr. Edward Anstead, Associate Lecturer, and Dr. Simon Katan, Lecturer.

Introduction to Computer Programming online course includes 2 weeks of digital lessons, assignments, and exams that offer candidates the fundamental knowledge and abilities needed to create computer programs in a sophisticated programming environment. Students taking Introduction to Computer Programming online classes will discover how to use the Javascript programming language and the p5.js library, as well as how to create 2D graphics as well as will learn about the mathematical concepts necessary to master the arithmetical and computational tools required for problem-solving in computer science and modeling phases.

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.

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.

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.

The  Learn to Program: Crafting Quality Code programme by Coursera is a well-crafted course that focuses on teaching the skill for writing quality code every single time. Quality is a code that will run efficiently and correctly. The learners of the course will be taught to design the program, validate and code it too. The course further elaborates on how they can compare two or more programs that address a similar task. A simple and easy to understand programme that will help candidates upskill themselves for the future needs of programming.

The course will cover key features, responsible for the writing and execution of an efficient code. It will help develop an insight into the palindrome algorithms and using it to solve various problems in the programming domain. It will guide learners to apply logic and solve the most complicated issues in program writing and utilizing simple tools to solve them.

The course requires all the candidates to work on assignments throughout the course, these assignments will give hands-on experience to learners and will be essential in learning to use the concepts of this course and its applications. The Learn to Program: Crafting Quality Code course is an intermediate level course that is taught by specialists from the industry.

Introduction to Architecting Smart IoT Devices online certification is designed by EIT Digital and taught by Martin Timmerman - Professor, which is delivered by Coursera for learners who want to master the strategies and techniques utilized for architecting IoT devices. The goal of the Introduction to Architecting Smart IoT Devices online course by Coursera is to assist learners to acquire the knowledge of the features of embedded systems.

Introduction to Architecting Smart IoT Devices online classes incorporate 2 weeks of lectures that cover everything from the basics of the internet of things to the foundations of a robust embedded systems domain. With this course, learners will also be taught about system lifecycle, system modeling, software failures, hardware failures, design patterns, code generation, hacking, traceability matrix, Shannon's principle, and more.

The term relational database refers to a particular kind of database that stores and makes available connected data items. On the relational model, an easy-to-understand method of representing data in tables, relational databases are built. Introduction to Relational Databases (RDBMS) certification course is taught by Sandip Saha Joy - Data Scientist, Rav Ahuja - Global Program Director, Lin Joyner - Senior Instructional Designer & Content Developer, and is developed by IBM Skills Network and Rose Malcolm - Senior Instructional Designer & Content Developer, which is delivered by Coursera.

Introduction to Relational Databases (RDBMS) online course focus on assisting individuals in recognising the many database types that are suitable for the particular sorts of data they are working with and the processing requirements as well as providing individuals with a good understanding of how information is stored, analyzed, and retrieved. Introduction to Relational Databases (RDBMS) online classes incorporate 2 weeks of hands-on practical learning materials to help individuals in learning the methodologies for building relational data models and the approaches to use them with their data.

The State University of New York and the University at Buffalo collaborated to create the Energy: The Enterprise online certification, which is delivered by Coursera and taught by Martin Casstevens, manager of the business formation, commercialization, and instructor, which is intended for applicants interested in a career in the energy sector as well as current workers who are unfamiliar with its fundamental concepts.

Energy: The Enterprise online course by Coursera comprises 17 hours of prerecorded learning resources which aims to provide a comprehensive understanding of how energy is changing and how various factors, including price, availability, sustainability, technological breakthroughs, lifestyle, and environmental awareness, are influencing the change. With the help of Energy: The Enterprise online training, applicants will also take part in the discussion of how the energy infrastructure changes with the environment while controlling costs, frequently deploying a new workforce while offering the highly dependable grid power required for a thriving and prosperous economy.

Deep learning, also known as deep neural learning or deep neural network, is an artificial intelligence functionality that resembles the functioning of the human brain in digesting data and developing correlations used in decision making. Deep Learning and Computer Vision online certification is designed by Board Infinity, an online educational platform for job applicants and learners that will assist them in realizing their full potential to achieve their career goals. 

Deep Learning and Computer Vision online course focuses on providing a hands-on experience of the core concepts and principles associated with deep learning and computer vision. Deep Learning and Computer Vision online classes include a variety of data science topics, including natural language processing and neural networks, such as convolutional and recurrent neural networks. Candidates will have developed competencies in technologies such as OpenCV, Jupyter, Tensorflow, Python, Numpy, and others by the end of this course.

The term ETL describes a set of procedures used to extract data from one system, change it, and load it into a target network. A more general name for any group of operations that transfer data from one system to another, possibly transforming it along the way, is a data pipeline. ETL and Data Pipelines with Shell, Airflow, and Kafka certification course is developed by IBM Skills Network and taught by Yan Luo - Ph.D., Data Scientist & Developer, Jeff Grossman - Certified Instructor, Sabrina Spillner - Senior Instructional Designer & Content Developer, and Ramesh Sannareddy - Data Engineering Expert, which is made available by Coursera. 

ETL and Data Pipelines with Shell, Airflow, and Kafka online training is designed to help the students gain an understanding of the two different approaches to converting raw data into analytics-ready data including the ETL process and ELT process. ETL and Data Pipelines with Shell, Airflow, and Kafka online course explains the differences between ELT and ETL processing, identifies instances for each, and goes over the procedures and tools needed for extracting data, combining it logically or physically, and importing it into data sources.

“Everyday Excel, Part 2” is the second part of the famous “Everyday Excel” training programme. Intensifying on the theories studied in the first course the learners will carry on expanding their knowledge in the uses of Excel. Although this training program is intended for intermediate users, advanced users too will benefit from it, in learning new tools and skills in Excel. After finishing this course, the candidates will possess enough skills to take up part 3 of the series Everyday Excel, which is project-based.

This specialisation series, which is divided into three parts aims to teach the candidates basic as well as advanced tools in Excel.  This curriculum is intended to be intriguing and enjoyable. It aims to encompass a wide range of learners so that a variety of experiences and abilities come together to teach something new to everyone.

A distinctive characteristic of this course is the compulsion to complete weekly assignments in the application itself, i.e. in Excel, which will push students into hands-on learning.

Git is the most popular open-source distributed version control system. Git is a content tracker that keeps track of the progress that individuals make to files because they have documentation of what has been accomplished and can go back to particular versions if necessary. The Linux Foundation developed the Using Git for Distributed Development online certification, which is offered by Coursera and is instructed by Jerry Cooperstein, Director of Training.

 Using Git for Distributed Development online training is intended for developers who are dispersed throughout the world and working on challenging projects while coordinating their work rationally and monitoring their distributed systems. Using Git for Distributed Development online classes offer the chance to help applicants utilize git effectively and contribute in a short period as well as to explain the git workflows, spot issues with their workflows, and find solutions to those issues.

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 course- Concurrent Programming in Java is the part of the Concurrent, Parallel, and Distributed Programming in Java Specialization. The course is offered by Rice University which is ranked among top 100 universities across the world and top 20 universities in the United States of America. The course is for students and professionals who intend an in-depth study of programming in Java.

The programme teaches all the fundamental concepts of concurrent programming in Java 8. The knowledge of concurrent programming assists developers to mediate the parallel programs using shared resources more efficiently. Towards the end of the course, the participants will use basic concurrency constructs like locks, threads, atomic variables, actors, isolation critical sections, concurrent collections, critical sections. Also, the theoretical foundation concepts like deadlock, progress guarantees, linearizability, and starvation will be taught in the course. The knowledge of theoretical foundations of concurrency will empower the participant to be meticulous and avoid subtle and common errors in programming.

The Python Data Structures course by Coursera is the next stage of learning Python, where you will progress from the procedural programming basics to explore Python’s in-built data structures. The included concepts are dictionaries, lists, and tuples. The course curriculum covers the Python 3 software. It will help you gain fluency in these data structures and how they perform highly-complex data analysis. This programme covers chapters Six to Ten of the “Python for Everybody” textbook.

The Python Data Structures training is designed in collaboration with the University of Michigan. The course covers strings, installation, and usage of Python, Files, Dictionaries, Lists, and more. You get pre-recorded course videos, graded quizzes, practice quizzes, assignments, among others, to help you learn the key concepts. 

Furthermore, the Coursera Python Data Structures certification course has free enrolment and financial aids as well. The course has been built to fit your schedule, and hence consists of pre-recorded content, flexible deadlines, and 100 percent online learning. The course content is available in English, with subtitles in Arabic, French, Russian, Spanish, English, and Korean. After satisfactory completion, you will receive the Coursera certificate as well.

Offered by the University of Michigan, the Using Python to Access Web Data Programme is conducted by Coursera. Coursera is one of the premium skill-based training and learning academies which enables professionals to seek and specialise courses that will aid them in gaining professional competitiveness and edge over other professionals.  Specially curated by experts from the industry, Using Python to Access Web Data Programme is an ideal programme to learn the basics of Python as well as implement it in real-life scenarios. The skills that the candidates will master are Python 3, Web Scraping, XML, JSON and others. 

This certification is a 7-day free trial programme. Thereafter if the candidate is willing to continue then one can do so by paying a nominal amount per month. The programme will also cover Json, HTML and XML data formats in Python. In addition to this, candidates will get a digital or electronic certificate as well as post completion of the course. 

The Introduction to Interactive Programming in Python course is offered by Coursera to give a better understanding of programming with the Python platform and their relative benefits with better development of programs in inbuilt devices and mobile platforms. The platform of python is robust, simple, and responsive inbuilt data in some type of functions. The programme invites every aspirant to get brighter career opportunities using python programming.

Programming with Python is in-demand nowadays due to its inbuilt environment and responsive platform. Programming with python is secured, robust, and simple. Therefore the programming has many built applications that are running in every operating system vigorously. The programming experience with python has many added advantages like data integrity, prevention of data redundancy, and authorization as well. So organizations are looking forward to making python more advanceable with the present technological advancement.

The course is offered by Coursera-an online digital learning platform with certification and many more learning benefits. The learning experience with Coursera made many learners get skilled and self-learning with flexible options. The opportunities with Coursera learnings have increased drastically within the very short course time. Therefore learning this from Coursera can be helpful in increasing career opportunities.