List of Online Courses and Certifications

Software-defined networking has its biggest hand in this generation of networking industry looking at recent technological development. SDN has evolved at a very good speed which makes it applicable to many fields of networking which are within the data center for the cloud as well as the new world of the lot. In this period where software is mainly used to control all the networks, it becomes very important and extremely easy to adapt to whatever changes and evolution the software industry goes through.

SDN also is important for establishing a foothold in cloud computing, network security and intent base networking. To go along step by step with the evolution of the technology it becomes very crucial for all the software personals to master their skills and stand in the tough competition that is prevailing in the industry. This is a perfect platform for them that will help them to sharpen their skills and walk towards a bright future.

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 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.

Poor implementation can disrupt the user experience, which is why it is essential to execute highly functional web pages. The HTML, CSS, and Javascript for Web Developers certification courses are specially designed to help developers create efficient, interactive web pages and enhance the end-user experience. 

An introductory course, the HTML, CSS, and Javascript for Web Developers certification course,  created by John Hopkins University and offered on the Coursera platform,  teaches how to use the essential tools to design webpages. Learn to code interactive, user-friendly web pages to automatically rearrange and resize the webpage to fit the size of the user’s screen. 

Moreover, the training course will equip the candidates with the most popular and influential language for web development: Javascript. Build functional web applications using Ajax to disclose the server-side functionality and data to the end-user.

In the HTML, CSS, and Javascript for Web Developers certification course, candidates will receive online videos and interactive lectures. Besides, Yaakov Chaikin – a professor at John Hopkins University with years of experience, will instruct the training 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.

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 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.

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 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.

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.

The discipline of system validation addresses the principles of information processing and system communication. It enables automated analysis based on behavioural system models to determine whether a system is functioning properly. The methods proposed for system validation enable demonstrating the absence of mistakes. Coursera is offering the System Validation (3): Requirements by Modal Formulas certification course, which was developed by EIT Digital and taught by Jan Friso Groote, a Certified Professor.

System Validation (3): Requirements by modal formulas online course is intended for applicants who wish to learn how to create simple and effective embedded systems while also designing them to be fully functional. System Validation (3): Requirements by modal formulas online classes are intended to teach the applicants how to express requirements for automata to build the proper relationship between the demands and the behaviour of the system.

The discipline of system validation addresses the principles of information processing and system interaction, which enables automated analysis related to behavioural information systems to determine whether a system is functioning properly. Demonstrating the absence of mistakes using system validation approaches makes it possible to create embedded systems. System Validation (4): Modelling Software, Protocols, and other behaviour online certification is developed by EIT Digital and taught by Jan Friso Groote - a certified professor, which is offered by Coursera.

System Validation (4): Modelling Software, Protocols, and other behavior online course offers 3 hours of self-paced study materials that highlight the effectiveness of formal approaches in protocols and software modelling. System Validation (4): Modelling Software, Protocols, and other behaviour online classes include topics like MOOC modelling, linearization, process equations, parameterised boolean equation system, compositional design, state-space explosion, as well as discussions about various protocols like bit protocol, sliding window protocol and more.

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.

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 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 Embedded UVM open source Emulation & Functional Verification course by NIT Patna is being imparted by the Electronics and ICT academy as a part of the Joint Online Faculty Development Programme. 

National Institute of Technology Patna offers courses in Architecture, Civil Engineering, Computer Science & Engg., Electronics & Communication Engg., Electrical Engg., and Mechanical Engg. It also includes well-established departments for Physics, Mathematics, Chemistry, Humanities and Social Sciences.

This course has been structured to give the learners an introduction of the universal verification methodologies. They will learn about the diverse aspects of UVM open-source Emulation & Functional Verification. 

They will be given knowledge about the event simulation technology, working of the simulation tools, bus functional models, different concepts of object-oriented programming, phasing and objection mechanisms of universal verification methodology and the concepts of SoC Verification. This course aims to develop the faculty/mentor and to increase the employability of the graduates, diploma holders in this stream of the industry.

A geographic information system is one that creates, manages, analyses, and maps all types of data. It connects data to the map and integrates the location with all types of descriptive information. GIS mapping is the process of inputting the data layers into the GIS System to generate a map. The course Introduction to GIS Mapping is designed by the experts for providing the foundational knowledge of GIS mapping to the interested learners. 

Introduction to GIS Mapping training is an initiative of the Coursera and the University of Toronto to provide in-depth knowledge of GIS Mapping. This is the online, self-paced course available on the Coursera platform. The course shall train students in GIS, Mapping, and Spatial Analysis. The candidates will learn about the process of getting started with the software of GIS, recording the locations using coordinates, and making the two-dimensional and three-dimensional earth. This is the first of the four courses provided by the Coursera on GIS Mapping. The candidates will also receive Introduction to GIS Mapping certification by the Coursera by the end of the course. 

Also, read

• Basics of Remote Sensing, GIS & GNSS Technology and Their Applications
• An Introduction to GIS and QGIS 3

The Interprofessional Healthcare Informatics certification course is a course designed in joint association between the University of Minnesota, and Coursera. Basically this programme is like a graduate level course. This programme shall be incorporating al the educational innovations that are enabled by educational innovations so athta the subject matter can be brought back to life

The Interprofessional Healthcare Informatics training considers teaching related to some topics like emerging technologies, gaming, telehealth, eScience, and much more. The entire programme will actually focus on emerging technologies like gaming, simulations, telehealth, etc. The course is an individual one which is not under any course specialization. 

Blockchain for the decision-maker certification course is designed by EIT Digital and the Budapest University of Technology and Economics which is taught by Enrique Barra - Ph.D. and Asja  Kamenica - Head of EIT Digital Professional School, which is delivered by Coursera and is aimed at participants who want to master the functionalities and strategies associated with blockchain to make better decisions. Blockchain for the Decision Maker online course explains the features that the blockchain offers, including distributed ledger principles.

Blockchain for the decision-maker online classes provides comprehensive digital content that takes about an hour of effort and instructs participants on the hyper ledger ecosystem, ledger technology, process-driven transition, and blockchain integration. This course also clarifies the difference between open networks and private networks built specifically for particular business needs. Participants will also receive a shareable certificate after completing the course, validating their understanding of the methods for using blockchain to make decisions.

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

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

The Python Project for Data Science certification course, created by IBM Skills Network and taught by Azim Hirjani, a Cognitive Data Scientist, and Joseph Santarcangelo, a Ph.D., a Data Scientist at IBM, is offered through Coursera, which is designed for candidates who want to learn about the strategies and procedures related to using Python programming to work with data for data science operations.

Python Project for Data Science online training involves 8 hours of digital lectures accompanied by hands-on projects where students will be assisted in creating a simplistic dashboard in Python. The Python for Data Science, AI, and Development course by IBM is a prerequisite for participation in the Python Project for Data Science online course, which teaches students about topics like data structures, data extraction, data analysis, dashboards, web scraping, and much more. 

The Data Visualization with R online certification, created by IBM Skills Network, is taught by Yiwen Li, a software engineer, Tiffany Zhu, a data scientist, Saishruthi Swaminathan, a data scientist, and developer advocate, and Gabriela de Queiroz, a program director, and it is offered through Coursera, which is intended for learners who want to master the Grammar of Graphics and learn how the ggplot2 data visualization package for R applies to basic bar charts, pie charts, scatter plots, line plots, box plots, and histograms.

Data Visualization with R online classes incorporates 1 week of learning materials that concentrate on teaching the methods for personalizing charts and plots using themes and talking about the methods for using data visualization for Leaflet. With Data Visualization with R online training, learners will be taught about concepts involved with data science, data visualization, and data analysis as well as acquainted with approaches for building interactive dashboards using the R Shiny package.

The Python Project for AI & Application Development online certification was developed by IBM Skills Network and is taught by Ramesh Sannareddy, a Data Engineering Expert, and Joseph Santarcangelo, a Ph.D., a Data Scientist at IBM, which is available through Coursera and is intended to help students gain an understanding of the techniques to put their knowledge of the strategies and concepts of python to use for artificial intelligence operations and developing applications.

Students are strongly encouraged to take IBM's “Python for Data Science, AI, and Development” course before enrolling in the Python Project for AI & Application Development online training. Python Project for AI & Application Development online classes cover subjects including status code analysis, application testing, and python packages and tools like Flask and Theia labs. By the end of the course, students will have the skills necessary to start utilizing Python to develop AI-powered applications, create and execute unit tests, and distribute the application.

Shell scripting is the collection of operations that must be run so that the shell can do so. Long and repeated command procedures are allegedly combined within one program so that they can be performed as needed. The main goal of writing a shell script is to lighten the end workload. Hands-on Introduction to Linux Commands and Shell Scripting online certification is developed by IBM Skills Network and taught by Rav Ahuja - Global Program Director and Sam Prokopchuk - Data Scientist, which is offered by Coursera.

Hands-on Introduction to Linux Commands and Shell Scripting online course involves 1 week of hands-on training materials that provide a practical introduction to Linux, commonly used Linux commands, Unix commands, and bash shell scripting to automate a range of activities. Hands-on Introduction to Linux Commands and Shell Scripting online classes discusses the concepts and techniques involved with topics like Linux distribution, networking, and shell scripting as well as will explain the methodologies for interacting with the Linux terminal, running commands, navigating directories, editing files, installing software, and more.

Python for Data Science Bootcamp certification course is created by Board Infinity, an online educational network aimed at working professionals and participants that would help them grow and thrive by enabling them to function efficiently. The Python for Data Science Bootcamp online course by Board Infinity is for participants who want to learn the fundamentals of Python programming for data science to become certified data scientists.

Python for Data Science Bootcamp online classes is a self-paced training program that includes case studies, assignments, and projects to help participants gain a thorough understanding of technologies such as Anaconda, Numpy, Pandas, Jupyter, Matplotlib, and Seaborn, as well as Python concepts such as arrays, lists, and data frames. Participants will be able to develop their Python scripts to undertake basic data analysis in a Jupyter-based simulated environment by the end of this training program.

The ‘Clinical Natural Language Processing’ online course is focused on delivering students insights on the strategies and tools involved in the processing of texts and collecting information from clinical data. This data analysis course is part of the clinical data science specialization and is provided by Coursera in association with the University of Colorado. The students of this course can explore the text data in R and can gain knowledge of the practical applications of finding out any diabetic issues from the clinical data. 

The course can be completed within an estimated period of one week in about three weeks and the students can study at their own pace. The instructor for this intermediate-level program is Laura K. Wiley, an Assistant Professor from the Division of Biomedical Informatics and Personalized Medicine at the Anschutz Medical Campus. 

The ‘Clinical Natural Language Processing’ online training program ensures students with an industrially significant course certificate that can be shared online for the development of their career.

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.

Fundamentals of Deep Learning certification course is created by Board Infinity, a learning system that aims to help individuals achieve excellence and achieve their professional goals. The Fundamentals of Deep Learning online classes by Board Infinity are for students who are looking for a thorough training program that will help them develop a solid understanding of the principles and practices of deep learning.

Fundamentals of Deep Learning online course is a self-paced learning program that includes more than 6 hours of detailed video lectures, as well as numerous projects, case studies, and assignments to give students a well-rounded learning experience. This course starts with a basic introduction to machine learning and then moves on to more advanced subjects like neural networks. Students will have a thorough grasp of how to use Python, Pandas, NumPy, Tensorflow, and Anaconda for a variety of deep learning tasks by the end of this training course.

Big Data and Hadoop & Spark certification course is created by Board Infinity, an online educational platform aimed at job seekers and students that will help them set realistic goals by allowing them to reach their full potential. The Big Data and Hadoop & Spark online course aims to teach individuals how to use technologies like Hadoop and Apache Spark to methodically collect data and analyze data sets that are too complicated.

Big Data and Hadoop & Spark online classes comprise more than live video-based classes along with case studies and assignments. This course covers Hadoop, Spark, Hive, PySpark, NoSQL, HDFS, and YARN, as well as other big data and big data analytics technologies. Individuals will receive a certificate from Board Infinity upon successful completion of this course, demonstrating their understanding of big data analytics topics.

Big Data Foundation Course online certification is created by Board Infinity, an online educational infrastructure targeting job applicants and learners that will enable them to grow and succeed by allowing people to function effectively. Big Data Foundation Course online classes by Board Infinity are for learners who are seeking a comprehensive training initiative to enhance their knowledge and skills in big data so that they can become skilled big data specialists from the ground up.

The Big Data Foundation Course syllabus features more than 14 hours of prerecorded video lessons that aim to help learners comprehend market dynamics, uncertain relations, and client preferences, and discover trends that enable companies to make data-driven decisions. Learners will also learn how to use tools like Hadoop, Hive, Apache Spark, MySQL, Apache Pig, PySaprk, Sqoop, MapReduce, and others to methodically extract information and analyze data sets that are too huge and complex.