List of Online Courses and Certifications

The Cybersecurity: Identity and Access Management Online Course is an 8-week long course that features the concepts and approaches of cyber security and the proposed methods for protecting cyberspaces and computer systems. The course is offered by MIT xPRO in collaboration with Emeritus.

Through the Cybersecurity: Identity and Access Management Certification Course, learners will be introduced to the fundamentals of cybersecurity engineering. The course will assist learners in their journey to become cyber security professionals.

The Cybersecurity: Identity and Access Management Training Course will be delivered by the experts at MIT xPRO through informative case studies and video lectures. The course will be assessed through assignments and projects that will help understand the domain of cyber security.

The ‘Certificate in Cybersecurity Defense’ online course is about the core principles involved in the defense systems of cybersecurity. The course is provided by the online provider Emeritus in collaboration with MITxPro. The course is organized for eight weeks and the students are expected to spend fifteen to twenty hours every week to complete the course.

The course curriculum is focused on the basics of cybersecurity such as cryptography strategies, security operations center (SOC), incident response (IR) techniques, secure system and network administration in firms, and aspects of cloud security. The course instructors for this program are academic and industry professionals who will guide the students with theoretical and experimental insights on cybersecurity through discussions and case studies.

The students of the ‘Certificate in Cybersecurity Defense’ training program are given the course certificate after completing the program and they can pay the course fee in flexible installments.

Machine learning, which combines the areas of statistics, optimization, computing, and data mining, is being embraced across sectors due to its capacity to solve issues in the availability of large data sets. The Machine Learning: Practical Applications online course covers a wide spectrum of machine learning methodologies, with a focus on artificial intelligence in current business analytics.

Modern machine learning achievements include its use in commercial activities like recommendation systems (like Amazon and Netflix), search engines, and promotion. In financial companies, machine learning technologies are rapidly being utilized for algorithm-based trading, forecasting consumer behaviour, risk, and compliance. The Machine Learning: Practical Applications Training from the London School of Economics provides a systematic approach to artificial intelligence in current business statistics.

The Machine Learning: Practical Applications syllabus engages with real-world challenges by implementing various machine learning models to large datasets in R, interpreting the predictions, and evaluating these predictions to guide the business.

The Launching into Machine Learning programme is a part of the Machine Learning with TensorFlow specialisation, offered by Google Cloud. This Beginner-level online professional course takes about 14 hours to complete. The course of instruction in English and subtitles are also provided for ease of grasping. 

The Launching into Machine Learning online course is offered by industry-leading professionals who have had multiple years of work experience in Machine learning and Tensorflow. Thus, you can be assured of being trained by the best in class. Through this course, you will understand the essence of deep learning and how to optimise it to mitigate common problems in machine learning. 

The Launching into Machine Learning certification syllabus provides you with repeatable and scalable test datasets perfect for training and evaluation. Moreover, you will learn to evaluate the models through loss functions and performance metrics. What’s more, the flexible schedule allows you to learn at your own pace and convenience. 

The Managing Machine Learning Projects with Google Cloud certification course is designed as a beginner level programme. The programme can be joined from the platform of Coursera. It offers a self-paced learning experience and students can learn from the available study material without any restrictions. 

The programme does not charge any amount for joining and learning from the course. Participants will be able to complete the whole Managing Machine Learning Projects with Google Cloud certification syllabus in approximately fourteen hours as it contains eight modules that will take up to a month. Students will be able to gain information regarding machine learning with respect to business problems. 

Students will be able to obtain a certificate if they complete the Managing Machine Learning Projects with Google Cloud programme within the given time. Candidates have the option to reset the deadlines according to the schedule of their suitability. The course also includes quizzes, readings, discussions, and assignments in order to provide a better learning experience for the students. The topics included in the Managing Machine Learning Projects with Google Cloud certification can be completed in the duration of one to three hours. 

Machine learning and artificial intelligence are new technological steps that can be applied in numerous fields to bring innovative breakthroughs. Machine learning and artificial intelligence has also an extraordinary scope and application in the medical and healthcare field. Fundamentals of Machine Learning for Healthcare will help the students to understand the significance of machine learning and artificial intelligence in the medical field and their potential to bring about transformations. 

Fundamentals of Machine Learning for Healthcare Certification Syllabus will introduce the learners to the basic concepts of machine learning and its applications in medicine and healthcare. By taking the course offered by Stanford University, the students will learn healthcare, health policy, pharmaceutical development, data science, and many more. 

Fundamentals of Machine Learning for Healthcare Certification Course, administered by Coursera, is a beginner-level programme that can be taken by the candidates at their own pace. Fundamentals of Machine Learning for Healthcare Certification by Coursera, instructed by Matthew Lungren who is the Associate Professor at the Department of Radiology, and Serena Yeung who is the Assistant Professor at Biomedical Data Science, is the third course in AI in Healthcare Specialization. 

The Intelligent Investing for Everyone programme addresses the various investment-related topics and bridges the gap between professional investors and everyone else. Whether you're investing in your own portfolio or an organisation's, you can enjoy better investment outcomes using AI, Machine Learning (ML), Blockchain, and big data techniques and tools.

This 8-week online curriculum involves interactive sessions held by the prestigious Berkeley Haas faculty. It has been divided into eight modules for maximum comprehension. Approximately 3-5 hours every week will be required to finish the Intelligent Investing for Everyone course.

You’ll learn concepts via case studies, moderated discussion groups, live office hours, and real-world application exercises. Once you complete the Intelligent Investing for Everyone training successfully, you’ll be one step closer to UC Berkeley’s alumni, a private worldwide network of over 41,000 members across 80 countries. 

You will also get a completion certificate from UC Berkeley Executive Education that highlights your gained skills to prospective recruiters.

Social and Economic Networks: Models and Analysis certification course will guide the candidates on the formation of networks. The learner will study exhibiting patterns of networks and their structure impacting their diffusion, learning, and other behaviors. The course will analyze the patterns on the basis of maths, social science, physics, economics, statistics, and computer science. The Social and Economic Networks: Models and Analysis course is an initiative by Stanford University for learners who are keen to understand the depth of networks. 

Social and Economic Networks: Models and Analysis training is available on the online learning platform of Coursera, where learners are exposed to multiple reading materials, videos, and quizzes for comprehensive knowledge. This is an online course of 8 weeks duration, the classes of which can be completed in 29 hours. The candidates who have enrolled in the course through the certification mode will receive Social and Economic Networks: Models and Analysis certification by Stanford University and Coursera by the end of the course. 

Also Read: Social Networks

The Networks Illustrated: principles Without Calculus course is offered by Princeton University and is taught by two top educators with a background of Electrical Engineering. This is a beginner-level programme and takes approximately 24 hours to complete. This course has around 12 modules, with extensive videos and quizzes. Besides, you will get practice assignments and exercises within the curriculum.

The Online Networks Illustrated: Principles Without Calculus Programme by Coursera explores answers using simple language and addresses fundamental questions about the social and technical network systems by summarising theories. The course proceeds with illustrations, anecdotes and analogies and mathematics as elementary as addition and multiplication. 

Coursera’s Networks Illustrated: Principles Without Calculus, is a course which explores the theories behind the social and technical connections. Networking Courses usually involve a lot of mathematical details for better understanding of the algorithms and systems behind the social and technological networks. However, to fully understand networking, you need to look more into the main ideas behind how the networking systems function. 

The Network Security course thoroughly covers all the aspects of network security such as network auditing, intrusion detection, evidence collection, and even contingency planning against attacks. The meticulously designed course content very lucidly explains how to prepare for network attacks using numerous pattern-proof strategies and also teaches how to defend against network attacks from a wider perspective.

Network Security by edX very thoroughly discusses various vulnerabilities in networks and systems. Through this course, candidates get to understand how to identify when attacks are happening inside the networks using strategically presented course material and lectures. The 8-week self-paced Network Security training empowers the candidates with ample time and opportunity to thoroughly understand various topics and aspects of network security, its impact, and various guidelines related to it. The candidates also get to explore the concepts and principles of wireless and wired data network security. The Network Security programme also discusses physical layer mechanisms, applications, filters, and encryption. 

There are 2 tracks namely the audit and the verified track offered by edX which are self-paced. The candidates may choose any of these tracks that can be enrolled. The main differences between these 2 tracks are the access timing for the course materials and obtaining the certificate of participation. During the audit track, the access is limited and no certification is given whereas during the verified track, access is unlimited and a certification is also offered.

In this era of globalisation and mongering threat of cybersecurity attacks, developing secure and efficient computer systems and the regime has become inevitable for every organisation touched by the digital revolution. Information Security - 5 - Secure Systems Engineering by SWAYAM discusses everything one needs to know about information security and the engineering of secure systems to build a strong conceptual idea of the same.

The syllabus deals with various challenges and issues in systems and mechanisms by which they can be mitigated. The first part will cover such security threats which can hamper the system health and can lead to major cyberattacks. To understand them in-depth, the course will also discuss how such vulnerabilities could arise from simple programming flaws like a buffer that overflows to complicated application runtime characteristics that are demonstrated through side-channels like the power consumption of the device and execution time. 

It will also deal with the case analysis of recent cyberattacks like Heartbleed, Stagefright, and Meltdown and Spectre. The course will be taught by adopting multimedia technology and aims to reach every person looking for quality education at minimal to no cost. It will be taught by a faculty from IIT Madras.

The Networking and Security Architecture with VMware NSX online programme is provided by the online education provider website, Coursera, and developed by the cloud computing and virtualisation company, VMware. This online certification course is for eight weeks and with the content duration being twenty hours in total. Chris McCain who is the Director of product and management in networking and security will be the course instructor giving his valuable inputs for this Networking and Security Architecture with VMware NSX programme. 

This intermediate-level training course is a study about the software-defined approach to networking with a knowledge of IT techniques of routing, switching, firewalling, disaster recovery, business continuity, and the concepts of cloud and security. The experimental teaching methodologies and the learning sessions will enable the candidates to comprehend the techniques involved in the working of VMware NSX and its applications in the field of virtual networking. This Networking and Security Architecture with VMware NSX allows the students to learn at their own speed and convenience

The key connection between the hardware of a device and the programmes that run on it is given by operating systems [OS]. This enables us to write programmes without thinking a lot about hardware. It also guarantees that the resources of the computer, such as its CPU, memory and hard disc are used sufficiently. In this programme, it is concentrated on how the OS is able to do all this effectively. For candidates with previous computer organisational experience, this is an introductory programme. The Introduction to Operating Systems programme will focus on an OS called xv6, which is similar to the Linux operating system in many aspects.

For the Introduction to Operating Systems programme, SWAYAM is not charging any learning fee. Candidates can learn the programme for free but to get a certificate they have to pay a fee. Candidates will get an e-certificate with the logos of NPTEL and IIT Madras.

The curriculum of the Introduction to Operating Systems programme is designed by experts of IIT Madras and it will be containing all necessary details for a candidate. The programme will be having 8 weeks of duration and candidates will be able to learn from any where.

The Digital transformation of megapolises: from zero to #1 in UN digital e-government ranking online course is offered by the online educational platform Coursera and the course is developed by the HSE University. The course materials and assessments are designed to be completed within eighteen hours in their entirety, the students own the liberty to take the course at their own convenient speed. This online programme is instructed by the course educator Artem Ermolaev and Andrey Belozerov who are experts in the field. 

The Digital transformation of megapolises: from zero to #1 in UN digital e-government ranking online training is about understanding and analysing the strategies of transformation management. It helps one explore the practical ideas related to raising funds for digital projects in a city aiding the process of digital transformation. This course is about discovering the strategies involved in the formation of smart cities and the gaining skills required to promote government projects.

In a progressive statistics world, corporations want individuals who can extract key information from data in order to make smarter business decisions. UCT's Data Science with Python online course helps students build realistic data science and analytical abilities for implementing it in real-world business contexts.

According to a McKinsey report, organizations that have at least one senior leader who has been trained in data are 70% more likely to perform better. The Data Science and Python Training teaches about broadly applicable libraries of python and how these techniques may and are applied in real-world business settings. The course demonstrates the concept of uncovering more robust correlations in order to guarantee that training models are usable.

An NVP report states that 92% of C-suite leaders are expanding their expenditure on Artificial intelligence and Big data. The Data Science with Python syllabus provides statistical understanding, which serves as a basis for understanding the dynamics of artificial intelligence. The course delves into supervised learning algorithms via neural networks and tree-based models, as well as unsupervised learning algorithms of AI via hierarchical clustering and K-means.

The Full-Stack Development live advanced online course will build upon your knowledge and experience as a developer. You will be introduced to foundational back-end concepts through a combination of lessons and hands-on practice. The intermediate programme will also fill gaps in your existing coding toolbox and prepare you for the next stage of your career.

Furthermore, the Full-Stack Development training programme is a part-time course, spread over 8 weeks. Thus, working professionals will be able to manage their job along with this course. Some of the curriculum’s topics include HTTP requests and methods, data persistence, front-end, and back-end security techniques, API implementation, document-oriented databases, cloud-hosted deployment, and server communication.

Lastly, you can attend the Full-Stack Development by Juno College of Technology through the live online or in-person format. You will get opportunities to implement your practical knowledge during the programme. You can also upskill yourself and move on to senior positions in your field after completing this training.

Also Read:
Full-Stack Software Engineer
Full Stack Web Development Bootcamp

The course Industrial Internet of Things (IoT) on Google Cloud Platform (GCP) is designed by the Google Cloud team. Here, you are going to learn every fundamental detail about sensors, devices, and analysis. However, even though you will get to learn about sensors and devices the main focus will be on the cloud side. This course is designed in a different way from many other Coursera courses as here your major learning is going to be through quizzes, projects, and labs.

You will learn about the nuances of scaling, device communication, and processing streaming data. And as mentioned before you will learn the cloud side of IIOT through simulated lab devices. 

Some skills that you will learn here that will help you grow in your career includes the cloud side of IoT, Cloud IoT Core, Pub/Sub, and Dataflow, implement a pipeline from their device to BigQuery and Dataprep, store data on Cloud Google storage and use BigQuery and Dataprep to gain insights into IoT data.

Throughout, you will get to practice these skills in almost 7 labs. After that, you will get a chance to test yourself in a Capstone lab using Cloud IoT Core Inspector.

MIT xPRO’s Designing and Building AI Products and Services programme is designed for entrepreneurs and tech professionals in AI. The course offers holistic insights into AI’s applications and design principles implied across numerous industries. Offered in partnership with Emeritus, this 8-week training primarily revolves around explaining AI tech tools and fundamentals, allowing you to explore the design processes involved in various AI-based products.

As you progress through the Designing and Building AI Products and Services course syllabus, you’ll learn how to create AI-based product proposals to present to your internal investors or stakeholders. MIT’s renowned faculty use in-depth examples and data to teach you the numerous stages in designing AI-based products, along with the essentials of deep learning and Machine Learning algorithms. Upon course-end, you’ll know how to use these to solve practical problems.

Moreover, the Designing and Building AI Products and Services online course enhances your knowledge via demos, design-support activities, and crowdsourcing. You’ll gain market-ready skills to evaluate AI solutions’ opportunities and make the cases for them. 

Lastly, MIT xPRO will also award you the Designing and Building AI Products and Services certificate, should you meet its eligibility requirements. 

The Introduction to Uncertainty Analysis and Experimentation certification course will begin with fundamental subjects on the study of complexity and its applications and offer an outline of exploration. This course would learn from professional engineers, scholars, and engineering students at UG, PG, and Ph.D., from many disciplines. The course is divided into different segments as per the week's scheduled curriculum that will intellectually focus on every particular module and sub-chapter in a more comprehensive manner. 

The Introduction to Uncertainty Analysis and Experimentation training will be given more importance to promote analytical learning in the course. The subjects include the method of experimentation, measurement errors, measurement and outcome uncertainty, the transmission of uncertainty, pre-and post-test uncertainty analysis, set-up configuration uncertainty analysis, and regression and correlation. The approach would adopt the "performance test code" of ASME and the ISO "Guide to the expression of measurement uncertainty." The Introduction to Uncertainty Analysis and Experimentation certification will provide a brief structure of the field and each core segment that is essentially included in the particular major. A selection of practical applications and the use of national and international principles relating to engineering and research and their importance to education will be addressed in the programme.

Individuals with a hybrid combination of analytical abilities and domain-specific experience are required to accelerate data-driven business choices as the amount of data available affects the way businesses function. The Data Analysis and Visualization online course by Rice University equips participants with the information and skills they need to analyze, display, and convey data insights successfully within their company.

According to the Entrepreneur report, Businesses that use big data analytics can save 10% on their overall costs. The Data Analysis and Visualization Training teaches how to use technology resources like SQL, Tableau, and VBA with the help of industry professionals. The program also teaches how to use sophisticated Excel tools, databases, and realistic statistics to grasp the basics of statistical analysis.

A Businesswire study says that by 2022, business analytics and big data are expected to generate $274.3 billion in global revenue. Data Analysis and Visualization certification course teaches how to communicate successfully with clients through data narration, using data-driven conclusions and excellent visualization approaches.

According to a World Economic Forum report, By 2025, the world will generate 463 exabytes of data every day. As the world is becoming increasingly data-driven, future leaders must have quantitative abilities to support business management strategy and decision-making. The Data Analysis for Management online course provides applicants with the practical tools and information they need to comprehend, interpret, and convey information relative to their job and organisation.

A PwC report states that 77% of CEOs want to use data-driven choices to improve operational excellence and generate revenue. The Data Analysis for Management Training, led by LSE specialist academics, helps candidates learn how data-driven frameworks may help them make sound choices in a fast-paced environment.

The Data Analysis for Management certification course encourages applicants to complete a capstone project in which they apply the tools and ideas learned to derive business insights from real-world data sets. Candidates will also get experience visualising and reporting on insights gleaned from sets of data using Tableau, a renowned data analytics and business intelligence program.

With an increasing reliance on descriptive statistics to influence decision-making, the process of extracting information from data has now become an extremely desirable skill. The Data Analysis online course by UCT begins with an introduction to data analysis foundations and the larger possibilities of statistics in commerce. The course covers a broad range of statistical approaches and is organised all over the broad outlines of various data studies: inferential, descriptive, predictive, exploratory and prescriptive.

Data analysts play an important role in assisting company executives in making informed decisions, distinguishing between efficient and inefficient practices, cutting expenses, and solving significant problems; they are thus an essential component of any successful organizational team. The Data Analysis Training involves learning how to acquire, store, organize, analyze, and interpret data.

The Data Analysis certification syllabus provides opportunities to test data analysis methods on real-world datasets. Finally, The course provides practical skills that can be implemented immediately in the organization to handle particular business demands in Sales, Finance, marketing, Human resource management and Operations management. 

Data analysis is very critical in biology and one of the key skills of biologists for academic research and industry. Data Analysis for Biologists can guide you on the possession of data analysis needed for biology practitioners. The online course is an 8-week long program. Data Analysis for Biologists Certification Course will walk you through the concepts of data analysis and its application in biology as well as the concepts of linear algebra, statistics, and the whatnot. 

Data Analysis for Biologists Certification is offered jointly by Swayam and IIT Guwahati which can be enrolled by the learners without paying any fee. However, the certificate of completion will be provided to those who sat for the exam by paying the fee. The course is meant for undergraduate and postgraduate level learners who are from the background of biology and biotechnology.

The Database Management System online course throws light on the backbone of all major applications used today, i.e. databases and their models, design paradigms, and structured query language (SQL), to name a few. Students get the opportunity to closely examine the file organizations, data structures, database designs, implementation, models, and more!

IIT Kharagpur has curated the Database Management System certification syllabus so that learners get familiarised with a wide array of concepts. These range from relational data models and SQL to entity-relationship modeling, database designs, and data normalization. Moreover, learners will also work on weekly assignments to explore query coding practices using MySQL or any other open platform. 

The Database Management System training is spread over eight weeks. Students will be undertaking this curriculum with Professor Partha Pratim Das and Professor Samiran Chattopadhyay as their instructors, who have years of academic teaching experience. With their combined professional expertise, students can be assured of being trained by some of the country’s best minds!

The Fuzzy Logic and Neural Networks certification is a multidisciplinary course which can be pursued by graduate or postgraduate students. Students who decide to pursue this course will get to know about fuzzy clustering, fuzzy reasoning, neural network, etc. The programme does not have any limitations regarding the admission process and can be joined by the interested students throughout the year without having to pay any amount. The course is provided as well as mentored by the Indian Institute of Technology, Kharagpur. The teachings of the course are in online mode throughout the Fuzzy Logic and Neural Networks certification syllabus of the course.

The Fuzzy Logic and Neural Networks programme is conducted by the platform of Swayam which is a government-initiated platform and gives free courses to all the students across the country. The duration which is needed to complete the course is 2 months. Candidates can learn from the programme as per their schedules since this is a self-paced course. The online training authorizes the students to be a certified user of the programme by obtaining the certificate through the mode of an exam fee followed by the offline exam. The Fuzzy Logic and Neural Networks online course also provides interactive sessions through case studies and discussions which can be done through the discussion groups created for the user of the course.

The Advanced Computer Architecture certification is offered under the Department of Computer Science and engineering. Swayam offers this program in association with IIT Guwahati. Participants who take admission in this course come to know about high-end microprocessors, cache memory, cache optimization using gem5, etc. The course does not ask the students to pay any fees to access the course. The Advanced Computer Architecture training given through this program is completely online and there is no requirement of attending the video sessions at any specific time. The video lectures can be joined by the students at any time. Similarly, candidates can leave the sessions too according to their requirements. 

Students also get the chance to acquire a verified certificate for the online course which can be availed by paying the registration amount as exam fees and qualifying for an in-person exam. The approximate time which will be taken by the mentor of the course to complete the Advanced Computer Architecture certification syllabus is 8 weeks. Students can also learn from the course on their own if they want to choose a longer period of time than 8 weeks. The program is available on the website throughout the year so that students can apply to the course whenever they feel the need. 

The Agile Project Management style emerged from the software development industry and has since spread to a variety of industries. The Agile Project Management online course offered by the UCT and delivered by the course provider Getsmarter is distinguished by the segmentation of work into small phases, with a focus on fast delivery and plan flexibility.

The Agile Project Management Training helps in understanding and applying Agile techniques for several advantages, including boosting an organization's capacity to react to changing business demands, boosting team productivity, improving project efficiency and quality, and boosting customer happiness.

The Agile Project Management Syllabus aims to provide the information and practical skills needed to operate effectively in Agile corporate contexts. The course helps candidates to acquire skills related to their present function as well as teaches how to create an Agile Project Management framework, which includes proper implementation techniques, adaptable plans, and a Risk management approach.

The JavaScript training course by June College of Technology builds upon your existing CSS and HTML knowledge and enables you to create more dynamic websites. This course is designed to allow coders to enhance their front-end development skills with JavaScript – one of the most in-demand programming languages.

Every lecture in this JavaScript online training is packed with hands-on exercises. Juno features a 10:1 student to instructor ratio, meaning that you’ll receive a near-personalised learning experience, and won’t ever feel left behind. 

With a regularly updated syllabus and best-in-class instructors, the JavaScript programme gives you the programming knowledge you need and the means to solidify your skillset with current best practices and industry standards. 

The JavaScript online programme is available in part-time and accelerated learning modes. You’ll also be working on two industry-grade projects based on real-life scenarios. By the end of the programme, you’ll be equipped with the skills, support, and experience you require to launch your web development career. 

Also Read: JavaScript and JQuery Essentials Training and Certification , Intermediate JavaScript

The Spring Framework Certification Training course by Edureka will cover the core concepts and features of Spring. These include how to create a Spring application, dependency injection, integrating Maven, integrating hibernate with Spring, employing JSF, and apache tiles for making user views, among others.

After completing the course, you can– keep your application secure, understand spring framework infrastructure, Spring Web Flow, and Spring MVC. In addition, you will be able to build an application using Maven, create a web application using Spring MVC, integrate hibernate with Spring, and many other tasks. 

Moreover, in the Spring Framework Certification Training online course, you will receive hands-on training through 24 hours of live online instructor-led classes, lifetime access to the Learning Management System, 24x7 technical support, assignments, real-life case studies, and a community forum for peer-to-peer interaction.

Besides, upon completion of the Spring Framework Certification Training, professionals can find lucrative jobs across industries as a certified Spring Framework Expert.