Online IT Software Courses & Certifications

Managing cybersecurity is all about managing risk, specifically the risk to an organization’s invaluable information assets. The GRC Approach to Managing Cybersecurity course examines the importance of governance, risk management, and compliance or GRC in the overall cybersecurity management process. The role of GRC in critical functions of policies, planning, and the administration of technologies for giving support to the protection of critical information assets, is also discussed.

The GRC Approach to Managing Cybersecurity training course is part of the Managing Cybersecurity Specialisation programme, offered by the University System of Georgia. It is the second in a series of five courses. The medium of instruction for the pre-recorded video lectures is English, and each video is around fifteen minutes long.

At the end of each module of the Coursera GRC Approach to Managing Cybersecurity programme, there are suggested reading materials and practise assignments. After the completion of the course, candidates can purchase a shareable electronic certificate from Coursera which they can add to the Certifications section present on their LinkedIn profiles.

The Cyber Security Risk Management online course which is provided by edX imparts skills and wisdom to all the learners in the concepts like qualitative risk assessment, framework, case studies, automatic metric calculations, risk mitigation, risk assessment, quantitative risk assessment, risk analysis, analysis techniques, tools, life cycle, information security metrics, and risk management methodologies.

This Cyber security Risk Management certification programme helps the candidate to understand the evolution of information security. The participant will explore big data, artificial intelligence and information security through this course. Various industry-related case studies are also discussed in this programme. The principles and frameworks of cyber security are also taught through this online course.

The Cyber Security Risk Management classes course by edX certification adds value to the curriculum vitae and resume of the learner. The certificate can also be posted to the LinkedIn profile of the candidate. Certificates are provided to all successful participants of the verified programme. The certificate has the logo of the institution and the signature of the instructor. 

This particular course on edX has 2 tracks namely audit and verified which may be opted by a candidate for enrolling. Both the tracks have a self-paced mode but the audit track offers no certification thereby allowing only limited access to the course materials without any cost. The verified track offers unlimited access to the programme thereby offering a certification provided the candidates are interested in paying some money.

Cybersecurity Capstone certification course provides advanced knowledge of cybersecurity and how to detect anomalies. This online course dives deep into cyberspace and provides handy and practical tools. The Cybersecurity Capstone online course by edX recommends its participants to be well-equipped with a laptop or computer, a good internet connection and a java-enabled browser. Case studies of real-world cyber investigations will be a part of the Cybersecurity Capstone certification syllabus.

This course will have assessment questions within the course. Cybersecurity Capstone training is verified by the Rochester Institute of Technology. It is an instructor-paced course. The candidates will be carefully guided through online instructor scheduled classes. It is one of the courses on the MicroMasters programme. The candidates who are willing to enrol for this course are asked to complete other courses listed in the MicroMasters programme as well. 

The certificate given to the candidates on successful completion of the Cybersecurity Capstone programme can be used for all purposes. It can be used for gaining the MicroMasters credential. It can be used to gain new connections on Linkedin. Since Cybersecurity Capstone training is a performance-based course, it will prove to be beneficial in one’s professional goals.

The Cybersecurity fundamentals by edX help candidates get detailed about the field of security in the world of computing. The candidates will be given an overview of how different branches of security have got a major role to play in computing. 

The threat involved and experienced in the field of computing is one of the dangerous things today. The candidates will gain insight on how to tackle it. The aspirants will have the platform to explore their knowledge and play with it to the best of their potential.

The course assignments, tasks, projects, and quizzes. The candidates will also be awarded the certification at the end of the Cybersecurity fundamentals online course. This motivates them for better performance and helps them get better jobs, salary hikes, and promotions in their career. Cybersecurity fundamentals certification also opens opportunities for candidates to enter the field of cybersecurity. The students have the option to select any one track from either the audit track or the verified track which are both self-paced. The audit track is free but course material access is limited to a certain period. Similarly, the verified track offers paid and unlimited access the course materials.

Computer Forensics is a part of the RITx Cybersecurity MicroMasters Computer Forensics programme. It deals with digital forensics. Digital forensics interprets cyber crimes. It is based on real-life implications. It is designed to impart knowledge of court admissibility. The usage of Linux/Unix and Windows for performing computer forensics is emphasised. The course has graded quizzes included in the Computer Forensics certification syllabus for the candidates. 

Computer Forensics training course by edX is one of the courses of the MicroMasters programme which ensures MicroMasters credential. It is an instructor-paced course. It will provide timely interaction with the instructor. Computer Forensics certification will be obtained after completing this online course, which eventually will fetch direct admission into the professional market. The Computer Forensics certification is shareable on all platforms such as Linkedin. It can also be downloaded and printed for a CV or resume. 

The certificate will push the candidates one step ahead in gaining the MicroMasters credential. edX offers both audit and verified tracks into which the candidates may enrol to learn this particular course. The verified track will help the candidates to learn about this course for a limited period whereas the audit track will allow free access to the course materials but that too for a limited period.

Big cyber attacks and assaults regularly dominate the media: cybercriminals targeting retail giants' weaknesses, foreign interference in elections, and new kinds of ransomware highlight the necessity of preparedness for these dangers. The Cybersecurity: Managing Risk in the Information Age online course provides candidates with a thorough knowledge of how to detect and manage operational, legal, and reputational risk.

Assessing threats and risk management has become a vital talent for business executives, analysts, technology professionals, and cybersecurity personnel, and it has become a core element of company operations. The Cybersecurity: Managing Risk in the Information Age training teaches learners how to analyse and remediate online cybersecurity risks inside an organization's systems, networks, and data, as well as how to handle a cyber threat.

According to a Symantec report, their Global Intelligence Network blocks 142 million attacks each day. with the Cybersecurity: Managing Risk in the Information Age syllabus, candidates will get the skills and knowledge needed to preserve the confidentiality and integrity of digital assets.

The modern digital era has revolutionized the way companies conduct business. But this has also created many security risks to the companies and the customers. Cybersecurity is a real threat to the world, there is a need for professionals with the cybersecurity skills to tackle online security threats associated with industries. The Fundamentals of Cybersecurity online course explores key elements of cybersecurity from both International and South African perspectives.

The Fundamentals of Cybersecurity training teaches to defend sensitive data of a company and support the organisation in case of any thwarting cyberattacks and respond to them accordingly. The program develops the ability to create a stable network model and an appropriate incident management strategy for a company.

The Fundamentals of Cybersecurity syllabus develops a basic understanding of cybersecurity management concepts as well as the appropriate environment. The course provides an opportunity to assess Cyber-threats and examine company Information technology practices.

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 Traditional and Non-Traditional Optimization Tools training is designed to explain the optimization process and its principles in depth. You will study traditional optimization tools during this course, including their subgroups, namely - direct search and gradient search methods, steepest descent, random walk method, etc. You will become aware of the significance of optimization to develop the most efficient product at the lowest cost.

The Traditional and Non-Traditional Optimization Tools online program also provides insights into non-traditional tools of optimization such as the genetic algorithm (GA), particle swarm optimization, simulated annealing, etc. It is an eight-week-long course with 20 hours of video lectures, where these methods will be explained along with relevant numerical examples.

The Traditional and Non-Traditional Optimization Tools certification course teaches working principles of multi-objective optimization. These include goal programming, distance-based Pareto-GA, weighted sum approach, and more. You will also understand techniques to handle constraints, benefits, and drawbacks of GA. This elective course also provides a completion certificate when you fulfill certain criteria. 

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.

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.