List of Online Courses and Certifications

The network and data are shielded from risks such as attacks and breaches thanks to network security. This is a broad and all-encompassing phrase that refers to technology solutions, procedures, policies, and configurations for network usage, accessibility, and comprehensive threat protection. Edward Chow, a qualified professor, teaches the Secure Networked System with Firewall and IDS certification course, which was developed by the University of Colorado System and made available through Coursera.

Secure Networked System with Firewall and IDS online training is targeted at the participants who want to master the functionalities of the tools like DMZ Firewall and IDS for securing network systems. The 8 hours of self-paced learning materials are provided with the Secure Networked System with Firewall and IDS online classes which cover topics like intrusion detection systems, network defense, firewall performance, as well as creating a dual-firewall DMZ, and enforcing security policies.

The course 3D Data Visualization for Science Communication gives an introduction to 3D data visualisation and emphasises on cinematic design and science communication for attracting a wide range of audience. The candidates will build visualisation literacy, they will be able to write and create their own visualisations. The course is provided by The University of Illinois at Urbana-Champaign which is a top university when it comes to teaching, public engagement and research.

The course will cover a wide range of topics under 3D Data Visualization for Science Communication which includes an introduction to scientific visualisation, critiquing visualisation, computer graphics, visualising pipeline, 3D geometry, computational resources, programming, data representation, virtual coordinates, transformations and attributes, data artefacts, pre visualisation, camera design, image artefacts, to name a few.

This course will be purely taught online using lecture videos, quizzes, discussion forum and reference reading materials. The candidates will be expected to clear all the quizzes and tests included in the course to be eligible for being certified in the course if on the event of purchasing the certification.

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 twelve hours 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.

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.

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 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 21 hours 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.

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 16 hours 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.

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. 

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.

Open source community projects produce open source software using a technique known as an open source development methodology. Open source software is designed in a manner that makes it available to everyone. These software products come with their source code and can be modified and improved upon underneath an open-source license. The Open Source Software Development Methods online certification was designed by The Linux Foundation and is delivered by Coursera with instruction provided by Jerry Cooperstein, a Certified Instructor.

 Open Source Software Development Methods online course aims to teach the students about the best practices, how to promote diversity in open source software, and how to work in open source projects successfully by obtaining a lot of practical understanding. Open Source Software Development Methods online classes also teach about the principles of proprietary software, open source software, OSS licensing, continuous integration, pragmatism, idealism, and more.

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.

System validation is a discipline that seeks to understand the principles of computational complexity and system interaction. This is also seen as the logical subsequent stage for computer science and the advancement of software development. System validation enables automatic evaluation of a system's behavior models to determine whether the system is operating properly. System Validation (2): Model process behaviour certification course is created by EIT Digital and taught by Jan Friso Groote - a certified professor, which is presented by Coursera.

System Validation (2): Model process behaviour online course is intended for candidates who are interested in learning about the methods for creating behavior for embedded systems. With System Validation (2): Model process behaviour online classes, candidates will be provided with 3 hours of digital lessons which explain how to develop process behavior using specific protocols and decentralized algorithms as well as discusses topics like parallel behavior, sequential composition, recursive process specification, data types, conditional operators, hiding operator 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.

The Python Project for Data Engineering certification course, developed by IBM Skills Network and taught by Ramesh Sannareddy, a subject matter expert in data engineering, and Joseph Santarcangelo, a Ph.D., data scientist at IBM, is made available by Coursera, which is intended for participants who want to evaluate their expertise by using web scraping and extracting data with APIs, all with the help of numerous hands-on experiments.

Python Project for Data Engineering online classes provides 9 hours of prerecorded learning materials with an emphasis on assisting participants in obtaining the knowledge necessary to apply fundamental Python abilities by utilizing various data collection and data processing strategies. The Python Project for Data Engineering online course covers subjects such as Watson Studio, Jupyter notebooks, and API functions as well as demonstrates how to extract data from various file formats, change it into particular datatypes, and then load it into a particular source for analysis.

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.

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.

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.

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.

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.

Machine Learning Certification Course online training is designed by Board Infinity, a virtual learning environment for trainees that would aid them in obtaining excellence and fulfilling their professional goals. Machine Learning Certification Course online training by Board Infinity is for participants who desire to acquire the scientific study of algorithms and statistical models that machine learning utilizes to become professional machine learning engineers.

Machine Learning Certification Course online classes cover a wide range of machine learning topics, including natural language processing, deep learning, supervised and unsupervised learning, artificial neural networks, probability, and statistics, convolutional neural networks, and include more than 40 hours of comprehensive learning, as well as case studies and projects. This course also includes sections on Python, pandas, OpenCV, Numpy, Anaconda, ANOVA, Matplotlib, Seaborn, and other programming languages.

R programming is an extensively employed data science language of programming that is heavily used in the business, making this one of the most important skills to acquire in the data science industry. R Programming Course for Data Science online certification is designed by Board Infinity, an online learning environment for professionals that would help them achieve their professional goals by assisting them in achieving excellence.

R Programming Course for Data Science online classes features more than 6 hours of extensive video-based learning material along with assignments and projects to assist candidates to acquire a hands-on comprehension of the tools and concepts like data analysis, time series analysis, text analysis, string manipulation, natural language processing, R studio, statistics, and more. By the end of the R Programming Course for Data Science online training, candidates will have developed their knowledge to develop programs in R programming and perform basic data analysis tasks.

Angular JS online certification is developed by Board Infinity, a learning system aimed at assisting individuals in achieving excellence and achieving their professional objectives. The Angular JS online course by Board Infinity is for individuals who want to learn how to utilize the core principles of Angular JS for a range of front-end development tasks.

 Angular JS online classes cover topics such as Javascript, AJAX, REST API, full-stack development, routing, navigation, and dependency injection and provide more than 20 hours of thorough live video-based lessons backed by various case studies and assignments. Individuals will also learn how to use Angular directives, forms, and services, as well as how to enable and build the service components. Individuals will be able to use the key functionalities of Angular JS for a variety of full-stack apps, including single-page web applications, by the end of this course.

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 25 hours of 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.

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. 

With an increase in demand for qualified professionals in the Information, Communication Technology and Electronics sectors, it’s high time to enrol in a quantum computing course. The course will help professionals not only in specialising in the existing and changing technologies but also in various fields of R&D and electronic manufacturing. 

Quantum Computing is a specialization course of quantum physics where you can learn the use of quantum phenomena (superposition and entanglement) to perform computation. Quantum computers can solve computational problems faster than classical computers. A technical course for your higher education, Quantum Computing will help you surge ahead in your career. A course in Quantum Computing will help you solve problems above a specific size and complexity. In this new era of technology, Quantum Computing is an ideal specimen.

Organised by ICT Academy and supported by the Ministry of Electronics and Information Technology, Quantum Computing course is available both in the classical classroom as well as online platforms. The live interactive classes, eminent faculty members and assignments make the classes interesting and highly recommended among qualified professionals. 

Become a Machine Learning Engineer courses are created by Board Infinity, an e-learning platform designed for learners to assist them in accomplishing goals to achieve their professional goals. Become a Machine Learning Engineer online classes by Board Infinity are designed for individuals who want guidance directly from industry experts and to enhance their practical understanding to become certified AI and ML specialists.

This course aims to give students a thorough understanding of both basic and advanced artificial intelligence and machine learning topics and approaches, such as deep learning, computer vision, natural language processing, generative algorithms, and convolutional neural networks. Applicants will have established experience in a variety of machine learning and artificial intelligence tools, including Power BI, Seaborn, Numpy, Pandas, Keras, Python, Maplplotlib, and Tensorflow, by the end of this course.

NIELIT Gangtok offers this certificate program in the Internet of things (IoT) using Arduino With a hands-on approach to the Internet of Things concepts, the course has several modules with a total duration of 60 hours. In these modules, it covers content relating to the development of prototypes with devices used for activation, sensing, communication, and processing. It is designed to develop skills as well as experiences for the participants. 

The course starts with an introduction to the Internet of Things and then progresses to the Arduino Uno simulation environment used in prototype building. The course covers the sensors and actuators required in detail for making interfacing with Arduino in the Internet of Things. 

The course also discusses the basic networking and IoT protocols required. Apart from the protocols, the course also focuses on the cloud platforms which are beneficial for IoT. The course ends with students taking a project and upon successful completion will receive a certificate of completion.