Free It Software Courses & Certifications

We are witnessing a phenomenal era, which is digitally powered with technologies flourishing exponentially. With the strong presence of Big Data, computer systems are now capable of deriving acute information and desired results through analysis of this structured and unstructured data, which ultimately forms the ‘big data’. It is also witnessed that such analysis of Big Data is highly relevant and informative for large organisations, businesses and professionals to optimize their performances.

Considered to be information assets, Big Data enables effective decision making, optimizing processes and cost effectiveness in large, medium as well as small organisations. However, to yield the benefits of this high volume, high velocity and high variety of big data, it becomes essential to analyse this big data using various tools and techniques. This is where the knowledge of using Hive, Spark SQL, DataFrames and GraphFrames comes very handy. Analysts engaged in big data analysis are highly in demand and using these tools, one can efficiently analyse the big data to facilitate important decision making and process optimisation in their employer organisations.

The Big Data Analysis: Hive, Spark SQL, DataFrames and GraphFrames online programme offered by Coursera will impart key skills to the participants in using big data analysis tools and pursue their careers in the area of big data analysis. 

The Online Programme on Big Data and AI Techniques by FORE School of Management aims to explore Big Data Analytics techniques and enable learners to apply it in their research work or teaching. The programme focuses more on practice than theory, and as such, learners will have to undertake several practical assignments.

The Online Programme on Big Data and AI Techniques Training is 40 hours long and spread across six weeks. Therefore, learners will have to devote around six hours to the programme each week. Classes are live on weekdays between 2 PM and 5 PM. They can also indulge in real-time interactions with the course educators, clarifying all their doubts and queries.

For the practical exercises that are part of the Online Programme on Big Data and AI Techniques Certification Syllabus, learners need laptops with at least 4 GB RAM. The student and the teacher will work on their respective laptops and simultaneously solve each assignment. Even though it is an online programme, the learning experience is as if the teacher and the students are in a laboratory working together.

Swayam’s Predictive Analytics certification course is targeted at students and practitioners who wish to improve their knowledge in predictive analytics. Predictive Analytics is a popular competitive strategy across various business sectors, and it identifies high-performance companies. Its objective is to predict the probability of occurrence of future events which can lead to effective business management.

The Predictive Analytics training covers important topics such as regression models which can help the learners understand relationships among variables and how decisions are made by exploiting these relationships. Predictive analytics problems use various models such as logistic regression, decision trees, linear regression, and neural networks which are discussed in this course.  

Besides, the Predictive Analytics programme on the provider site of Swayam by the Indian Institute of Management, Bangalore, and NPTEL prepares candidates for careers in the field of data analytics. This course is a good fit if you are looking for the right competitive strategy for making companies successful. You can master predictive analytics tools and earn a certificate upon successful completion of this programme.

The free online course, Getting Started with Azure available at Coursera is offered by Learn Quest. The course is an introduction to Microsoft Azure services, Deploying Virtual Machines, Cloud Management, and many more.The 100% online course helps you learn Navigating Azure Tools And Services, Azure Network Security, Deploying Azure Network, etc.

The students of the course will gain familiarity with the most important Azure topics and help you practice the Implementation of infrastructure components.The course is spread across 6 weeks which includes topics related to Azure. There are online videos from professional instructors, some reading materials, and quizzes to test your learning. 

At the end of the course, you will receive Getting Started With Azure Course Certification which will help you in enhancing your CV and LinkedIn profile.The online course will only take 20 hours to complete but it’s very flexible which means you can complete the course according to your timetable and commitments. Henceforth, the course provides the learners with flexible deadlines.

The online course in AWS Computer Vision: Getting Started with GluonCV by Coursera is spread out over six weeks, wherein a new module is picked up every week, to focus on computer vision’s various aspects with GluonCV. The programme starts by discussing the basic concepts of computer vision and progresses by providing an overview of machine learning, using the GluonCV toolkit and Apache MXNet to build and train CV models, discussing deep learning concepts, and artificial neural networks. In the last week, the candidates submit a final project where they apply their learnings and visualize the output.

The AWS Computer Vision: Getting Started with GluonCV online course is offered by Amazon Web Services on Coursera, and thus, comprehensively covers the various AWS services like Amazon SageMaker, AWS Deep Learning, Amazon Rekognition and many more. The curriculum provides content through pre-recorded videos, readings, practice quizzes, and flexible deadlines, to help candidates learn at their own pace.

Furthermore, the AWS Computer Vision: Getting Started with GluonCV online programme provides financial aid as well. It will equip the candidates with the knowledge on how to build a computer vision model, how to set up different services, their benefits and limitations.

The Information Technology Foundations course provided by edX and taught by the Western Governors University is an introductory level program which is a system consisting of the development of a common goal. The course examines the system that helps the candidate to learn more about the system and service, data management, programming. These are the different components of IT that the course will make the candidates explore. 

Information Technology Foundations course gives knowledge from the hardware to the software structure of the computers. The integration of the hardware, software, and user requirements through networking is very important for the learners to understand the course

The participants will receive a certificate when they complete the course with minimum pass marks. The signature of the instructors and the logo of the Western Governors University are given on the certificate making the certificate speak its value in the resume or portfolio. Participants who wish to start or restart their careers will find the Information Technology Foundations certification course more useful and valuable. Among the 2 tracks offered to the candidates, during the audit mode, the candidates will get limited access to the course materials for free during the verified track, the candidates will get unlimited access but will have to pay a fee.

Web 3.0 is the next generation of the internet, which will be a greatly decentralised and more transparent version of the web. You need to learn the latest skills, like building decentralised applications (dApps) to thrive in this environment. The Mastering Web3 with Waves online course by Coursera will teach you how to create a dApp using Waves blockchain and the Ride programming language.

During the Mastering Web3 with Waves certification course, you will become familiar with JavaScript, GitHub, non-fungible tokens (NFTs), HTML, Git, smart assets, and smart contracts. Also, you will deeply explore concepts such as digital assets, consensus algorithms, the evolution of the web, distributed ledgers, and cryptocurrencies.

Coursera’s Mastering Web3 with Waves syllabus is systematically divided into six weekly modules, comprising practical assignments, quizzes, and video tutorials. You will also create a project near the end of the course, the Coupon Bazaar dApp. Moreover, the E-Learning Development Fund offers the course. 

The delivery of various services via the Internet is referred to as cloud computing. These tools and programs comprise digital data, servers, networks, networking, and programs. Cloud-based storage enables the saving of files to remote databases as opposed to retaining them on a proprietary hard drive or local storage device. The Cloud Computing Basics (Cloud 101) certification course is developed by LearnQuest, an online learning platform, and taught by Jim Sullivan, a Master Trainer and Technology Practitioner, which is made available by Coursera.

 Cloud Computing Basics (Cloud 101) online classes incorporate 8 hours of online learning resources which begin with the fundamental concepts of cloud computing and cloud deployment and go on to describe the functionalities of storage services, cloud dynamics, and degrees of managed infrastructure. Cloud Computing Basics (Cloud 101) online training also covers a variety of subjects like HPC cloud, big data cloud, and hybrid cloud as well as discusses the concepts like bare metal computing, serverless computing, artificial intelligence, internet of things, Kubernetes, Docker, API, AWS, Azure, IBM Cloud, GCP, and salesforce.

Spatial Data Science and Applications certification course is a specialized course for the learners seeking for understanding Data Science and its applications. Programming and analysis are needed everywhere. Every big company today needs employees with skills to operate analysis related to data structure and the study of the whole data format. 

Such need and study have brought a new requirement in today’s operating market which helps in gaining necessary information about various aspects of data structure. Topics like DBMS, SDBMS, HDFS and others are explained thoroughly under this course. With flexible deadlines, this Spatial Data Science and Applications online course is a one-stop destination for the learners seeking proper knowledge under this course. 

The duration of Spatial Data Science and Application training course is 6 weeks and is available for the learners with a genuine interest in the subject. 

Materials Data Sciences and Informatics is an intermediate-level course ventured jointly by the Georgia Institute of Technology and Coursera. The system is a flexible one that allows the learners to pursue it in the online mode at their own pace and time. Materials Data Sciences and Informatics Certification Course, offered by Coursera, can be taken by non-English speaking learners too as the subtitles are provided in the languages of, Portuguese (European), Spanish, French, and Russian. 

Materials Data Sciences and Informatics Certification by Coursera is all about the nascent discipline of Materials Informatics that is part of computational, material, and information science. The learners can complete the certification programme within the minimum duration of 9 hours. They can make a deep understanding of data science, informatics, data science in materials science, biomedical informatics and data science, statistics, and the like. 

The internet was once celebrated as the ultimate platform for self-expression and open communication. But it has now become a global surveillance device. With its endless capacity to process and store data, the internet can pose a dire threat to individual privacy and national security. To learn more about this developing issue, take the Cyberwar, Surveillance and Security course by edX.

People are starting to realise that their data and online activities are being monitored 24/7. And they are beginning to call for restrictions on such practices. After taking the Cyberwar, Surveillance, and Security training, you too will be sufficiently informed to join the debate. You will learn about national security laws, and laws related to personal and commercial privacy, in the post-Snowden online world. 

The University of Adelaide put together the Cyberwar, Surveillance, and Security certification syllabus. And upon course completion, you can receive a certificate with their logo and the course instructors’ signatures, if you pay the certification fee. Candidates don’t require any academic qualification to pursue the introductory computer science programme.

The Introduction to Machine Learning certification course is offered by Duke University. It will help you know your strengths and apply your skills in the most efficient manner to get work done. It will give you additional knowledge that will make you more confident in your work and perform better at your workplace or start your own business. 

The course will give you a brief overview of machine learning models like natural language processing, logistic regression, convolution neural networks, and multilayer perceptrons, while also explaining how these models can be put to use for solving technical problems in various industries like medical, image recognition, and text prediction. 

It is a combination of practical as well as theoretical knowledge about Machine learning, that will provide you with a framework for understanding how you can implement data science models and machine learning algorithms. The  Introduction to Machine Learning Training Course will allow you to work on a real-world hands-on project that is required in the fast-developing technological world. 

This Data-driven Astronomy online course is designed and developed by the University of Sydney for the candidates to learn on the Coursera online education platform. This physical and astronomical course is expected to be completed by the students in twenty hours entirely. The intermediate-level course is a study about the scope of data science in the field of astronomy and the role of tools and techniques of machine learning that are used to understand the data. 

In the Data-driven Astronomy training course, the candidates are provided with the opportunity to know and comprehend the problems that may arise while handling large datasets, the strategies to use algorithms, and the ways to use the different programming languages and software tools to decipher the data. 

The course instructors for this online certification course are associate professor Tara Murphy and Simon Murphy, a postdoctoral researcher at the school of physics at the University of Sydney. 

The Enterprise Software Lifecycle Management by edX is a prologue to programming lifecycle the board utilizing the affirmed standards and best practices created by IT pioneers and made for enormous scope frameworks activity. Beginning with the rudiments of life cycles Enterprise Software Lifecycle Management certification course will make the learner challenge their present knowledge. The candidate will be able to figure out how to settle on defended choices on the business level programming arrangements and the right way to apply the standards and strategies they learned.

The Enterprise Software Lifecycle Management online course will furnish directors with the abilities they need to comprehend the standards and utilize the best-in-class strategies and practices for the executives.

This software engineering online training course will show the candidates the techniques and models and practices of programming advancement to make the cycle sensible and bring about high-caliber and proficient programming items. For a better understanding of this course, candidates can complete the Demo 101 course.  This program will impart a series of Enterprise Software Lifecycle Management certification benefits to the candidates.

The duration of Enterprise Software Lifecycle Management training is 6 weeks and candidates can study the course at their own pace.

Business organizations now need expert big data professionals to understand customer behaviour out of the complex and unstructured data of pictures, posts, tweets, audio files, videos and satellite images. Edx here presents you with a foundational course to get started with big data and climb up the ladder of a career in the industry. Big Data, Hadoop, and Spark Basics is an introductory computer science course that provides an introductory understanding of big data and its tools. 

Big Data, Hadoop, and Spark Basics Certification, provided by edX, is a beginner-level programme offered by IBM. The online programmes will explore big data processing tools such as Apache Spark, Hive and Hadoop. Big Data, Hadoop, and Spark Basics Certification by IBM is a 6-week long programme that demands 2-3 hours per week from the learners to devote. The self-paced programme is a free certification programme that can be upgraded to the fullest mode by paying the fee. 

Used by over 90% of developers, Git is one of the most powerful and adaptable version control systems. In the Collaborative Coding with Git certification course the candidates will find ways to visualise and explore a project’s history via Git repositories. The candidates will enable them to quickly adapt to a new collaborative environment, especially if they are working with Git remotely.

The Collaborative Coding with Git certification by Futurelearn is in collaboration with the University of Manchester and the Institute of Coding. The course teaches you techniques such as maintaining high-quality code, code review to ensure safe code changes, maintaining consistent coding styles across large teams, etc. 

The Collaborative Coding with Git online course will teach students how to explore Git as a quality assurance tool, and learn how to use GIT to facilitate team learning, as well as enhance their workflows, collaboration, and code quality. The course is ideal for freshers/professionals interested in or working in software development.

The Developing Scalable Apps in Python course is designed as an advanced-level course for the students. Candidates can take up the course virtually through the website of Udacity. The programme has rich learning content, which is taught by industry professionals. The course is offered to all the participants at zero cost, and there are no extra or hidden charges for anything in the Developing Scalable Apps in Python online course. 

The platform works on a self-paced learning method, and students are free to access the course 24x7 without any restrictions. There are no limitations regarding minimum attendance percentage, and the course has flexible deadlines. Candidates will be able to complete the Developing Scalable Apps in Python syllabus in approximately six weeks. Candidates will acquire the learnings from the course through interactive quiz sessions and various exercises. 

Machine Learning (ML) is rapidly transforming the world. The Big Data Applications: Machine Learning at Scale certification programme is an advanced-level online course to provide you with comprehensive ML knowledge. During the course, you will explore what type of real-life problems can be solved with ML.

Offered by Yandex, the Big Data Applications: Machine Learning at Scale training by Coursera will equip you with skills to build ML models through practical assignments. You will also learn how to create your recommender system.

Throughout the Big Data Applications online training’s five-week duration, you will go through extensive reading material, practise exercises and quizzes. It will also include exclusive video lessons delivered by top-rated instructors.

Coursera’s Big Data Applications online course will educate you on the various applications of Big Data and ML. The skills you develop will enable you to undertake different kinds of pragmatic machine learning tasks. Upon course completion, you can also earn the coveted e-certificate, which is purchasable.

Fundamentals of Parallelism on Intel Architecture Certification Programme keeps candidates hooked with its engaging and informative course offerings. From forms of parallelism involved in modern Intel architecture processors to programming frameworks managing parallelism in an application, candidates will get first-hand knowledge of both simple and complex concepts surrounding the domain. 

Learners will also work on many-core processors of today like Intel Xeon Phi architecture coupled with graded exercises for experimenting. The course is multipurpose where knowledge can be applied to data center workloads, HPC and even artificial intelligence. Most of all, learners will be able to deal efficiently with practicalities comprising task parallelism in shared memory with threads, data parallelism with vector instructions, memory architecture parallelism and optimized data containers, and parallelism in distributed memory with message passing.

Experts behind the drafting of the course material have ensured that the course takers, after taking this course, do not have to worry about handling acceleration of computational applications by orders of magnitude, since they will be taught how to keep their code future-proof and portable. Co-offered by Intel, experts have ensured to offer the right tools and peer expertise to learners so that they can succeed and learn to innovate.