Free It Software Courses & Certifications

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.

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 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 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.

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.

For candidates looking forward to making a successful career in the big data industry, this certificate course on Big Data Essentials: HDFS, MapReduce and Spark RDD is the best way to get started. This course gives you new tools and reading materials to direct you in the right direction. Technologies like MapReduce, HDFS and Spark are all covered in this certificate by Coursera. The 6 course is of 6 weeks and helps candidates learn the basics of technologies in the Big Data field. It guides you throughout the system internals as well as its applications in the real world.

Candidates can expect to learn about the distributed file system, the reason for their existence and their functions. This course will guide candidates to build a stronger understanding of the big data technology and concepts to better utilize them in their work. The programme focuses on developing skills in learners to learn and use these tools in creating a solution for social networks, finance, telecommunications and other fields.

The Big Data Essentials: HDFS, MapReduce and Spark RDD programme offer relevant assignments that impart practical knowledge and experience to solve the most pressing problems in the field of big data. It presents an opportunity to evaluate the assignments of candidates on a real cluster.

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. 

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 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.

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. 

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. 

In the Introduction to Data Science online course, the students will be getting to learn about the importance and applications of data science and the use of algorithms in it. The course has been designed for six weeks. The online programme on Introduction to Data Science training by edX will be digitally hosted and covered by IBM. 

Imparted by data scientists, this programme will require 3 to 6 hours per week of study. This Introduction to Data Science classes program covers a span of topics that will enable candidates to learn about data science, tools, algorithms and other elements utilised in a business scenario. The programme is pursued online wherein the candidates can enrol as per their convenient schedule. 

Since the programme is taught by data practitioners, candidates will gain the opportunity to learn the importance of data science in present times and in times to come. A most sought-after programme, candidates can also take up other associated programmes such as Data Science Foundations, IBM Data Science and Essential Technologies for Business. Candidates will find 2 tracks to enrol into and finish learning the programme. One is the audit track and the other is the verified track. These tracks can be learned based on one's own schedule but the audit track gives limited access whereas the verified track gives unlimited access to the course materials.

Cybersecurity Awareness and Innovation Certification has been designed for students, professionals and the community to effectively combat cybersecurity attacks. The Cybersecurity course will enlighten them about the risks focused on identity management while offering a practical overview of many challenging issues like email threats, identity credentials security and management, web hacking, or web impersonation. This Cybersecurity Awareness and Innovation course by Coursera will provide an additional understanding of innovation implemented in these concepts through an interview with a celebrated expert in cybercrime and fraud. 

The teaching staff consists of Román Ramírez, a hacker and cybersecurity expert and Iván Pau, UPM researcher and expert in usable security. Cybersecurity Awareness and Innovation Certification Syllabus is a unique blend of case studies on cybersecurity incidents, videos and exercises that ensures participant involvement in the course. 

This online Cybersecurity Awareness and Innovation programme is part of the course initiative developed by Universidad Politécnica de Madrid (a world-class tech university known for its quality educational programmes and research centres), EIT Digital and Ferrovial (world's leading private investor in infrastructures and cities, with a workforce of at least 74.000 and operational in 16+ countries).

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. 

The CS50's Understanding Technology Certification Course is an introductory level course that focuses on the basic principles and working processes of computers. The course will discuss the fundamental concepts of computer science and allow learners to gain an in-depth knowledge of the topic.

The CS50's Understanding Technology Online Course is conducted in a self-paced manner where the learners could approach the course according to their preferences. The course is instructed by David J. Malan, Gordon McKay Professor of the Practice of Computer Science, Harvard University.

The CS50's Understanding Technology Training Course is taught through expert lectures highlighting the different aspects of programming and web development. The course will be of great help to students who are striving to expand their knowledge base in topics like computer networking and computer applications. The learners can pursue the self-paced programme for free and get a limited duration of access. Also, they can get the certificate by upgrading the subscription by paying the prescribed fee. 

The ‘Text Analytics 1: Introduction to Natural Language Processing’ online course is an overview of the strategies involved in Natural Language Processing(NLP) and the various aspects of computational linguistics. This course enables students to get hands-on experience with NLP and the process of performing analysis in Python with regard to the creation of pipelines.

Edx provides this course in association with the University of Canterbury(UC) for a period of six weeks and the students are required to spend at least three to six hours per week to complete the course successfully. This computer science course is self-paced and the learners in this program are led by the instructors from UC, Jonathan Dunn(Lecturer), Tom Coupe(Associate Professor), Jeanette King(Professor), and Girish Prayag(Professor).

In the ‘Text Analytics 1: Introduction to Natural Language Processing’ online training program, students will engage themselves with concepts of text processing, text mining, sentiment analysis, and topic modelling. The participants will receive a certificate after finishing the course of study and the graded assessments. The self-paced programme can be taken free of cost and has a limited duration. They can also upgrade it to the verified mode by paying for the course and getting unlimited access to the course materials. 

The ‘Text Analytics 2: Visualizing Natural Language Processing’ online course is developed for the students to gain knowledge and expertise with the visualization and interpretation of outputs in text analytics along with the scientific overview of understanding language computations.

This computer science course is provided by the Edx educational platform in collaboration with the University of Canterbury for the classes and modules. This online program is scheduled for a period of approximately six weeks and the candidates are expected to spend a minimum of three to six hours per week to finish the course modules.

The ‘Text Analytics 2: Visualizing Natural Language Processing’ is a self-paced learning program and the students can study independently with the curriculum instructed by faculty from the University of Canterbury such as Jonathan Dunn(Lecturer), Jeanette King(Professor), Tom Coupe(Associate Professor), and Girish Prayag(Professor). The participants will receive a certificate that can be shared online for the benefit of career advancement if they choose the verified mode by paying the course fee. They can also join the self-paced programme free of cost and get limited access to the programme. 

In the Advanced Android App Development programme, the students will be learning about making apps and the steps to publish them in the google play store. The course on Advanced Android App will be helping the applicants to brush up and advance their skills as an android developer. The course over a period of six weeks will be covering topics namely- Fragments, Firebase cloud messaging, Media playback, Publishing your app, Libraries, Espresso, Widgets and Places. The Advanced Android App Development certification syllabus has the provision of self-paced learning, where the students can access the course guides and materials according to their own time and pace.

The Internet of Things (IoT) certification course is a 6 weeks certification programme that is found on the platform of edX. IoT is becoming for very important for different professional, and the knowledge of this will help in leveraging technical knowledge in improving business processes. This is an introductory level programme that helps in leveraging IoT related workplace functions.

The Introduction to the Internet of Things (IoT) training is the best for Internet of Things topics, and how the different components that are connected amongst to each other. The candidates will also be earning to communicate the data by examining privacy, and other cybersecurity issues by highlighting IoT processes in business organisations.

Two self-paced tracks can be found on edX, One is the free audit track and the other track is the verified one which is paid. To be able to learn for a limited period without a certificate of completion, one can pick out the audit track whereas the paid track is made to offer unlimited access and a certificate of completion.

Offered by the University of California San Diego, and Coursera the Internet of Things: Sensing and Actuation From Devices certification course is a small certificate course that can be completed within a time span of 16 hours. If one has access to internet, and is able to use the mobile application or website of Coursera, can register, and start learning the programme. 

The Internet of Things: Sensing and Actuation From Devices training will help the candidates understand how communications from the the real world is done using Smartphone processors. Through this course syllabus, the candidates will be able to make informed choices about the frequency of a sample. The students will also be gaining expertise on the different types of sensors, so that data from these sensors can be used for mobile-enables products.

Learn how to derive insights from the noisy observations by enrolling in the Observation Theory: Estimating the Unknown certification. In research and teaching the TU Delft’s approach is a world-leading methodology for understanding the observations. This theory can be applied in every domain where the measurements shall be used to make an estimation of the unknown parameters.

The candidates will learn how to distinguish between the parameters and come up with the quality of results in Observation Theory: Estimating the Unknown training. Playing with noisy observations is one of the key takeaways for the candidates during this time duration of the course. The participants will learn how to validate the estimations and develop a systematic approach to dealing with real-life translations. The candidates will have real-world exposure to different models.

The learning process during the course will help participants know how the study of observations can help in better solutions. In terms of precision, a standardized approach to the parameters has been considered for the candidates. Most part of the course has been covered with examples, where the candidates will have better learning. The course also offers certification after the candidates successfully complete it if they choose the verified track and pay the course fee. In the free track, the students will get access to the course for a limited duration. 

The AWS Developer: Optimizing on AWS programme is the third course in the AWS Developer Professional Series. It is spread over a six-week-long period. This is a self-paced programme that will allow you to progress at your own speed. 

However, it is recommended you take the first and second courses of the series- ‘AWS Developer: Building on AWS’ and ‘AWS Developer: Deploying on AWS’ before beginning the AWS Developer: Optimizing on AWS for maximum understanding.

The AWS Developer: Optimizing on AWS course curriculum will cover topics such as caching services, AWS container services, AWS Command Line Interface, and AWS key management service. You can learn through a combination of video lessons and hands-on components like a capstone exercise, weekly quizzes, discussions, and regular exercises. 

Additionally, the AWS Developer: Optimizing on AWS certification falls under the Computer Science domain. The online course has been curated with the support of Amazon Web Services (AWS) and has been delivered by edX. 

AWS Developer: Deploying on AWS by edX is the second course in the AWS Developer Professional Series and will run for an estimated time span of six weeks. This is an advanced-level programme that will teach you how to use DevOps tools and methodologies and build applications with the help of AWS Cloud9 and a lot more. The course curriculum has been structured in modules consisting of lessons, exercises, quizzes, and discussions. 

The AWS Developer: Deploying on AWS online course requires a time commitment of three to four hours per week. During the course, you will learn about different AWS services and get a chance to use them through exercises. Moreover, you can interact with your fellow learners and the AWS training staff for a better learning experience.

Additionally, the AWS Developer: Deploying on AWS certification belongs to the Computer Science field and has been curated by Amazon Web Services. Experts in AWS will be your course instructors. Furthermore, the training presents a significantly hands-on approach, and you will master the usage of various AWS services covered. 

The AWS Developer: Building on AWS online course by edX is a six-week-long programme. It will teach you how to develop and run applications on the AWS platform. During the programme, you will become familiar with AWS by installing SDKs (Software Development Kits) and creating an AWS account.

Throughout the AWS Developer: Building on AWS certification course, you will study general AWS concepts like availability zones, security groups, regions and Virtual Private Clouds (VPCs). Plus, you will gain hands-on experience in building a web app. For this, you will use AWS Lambda, and Amazon EC2 compute services. Furthermore, you will be introduced to multiple services like Amazon Rekognition, AWS SNS and Amazon SQS.

You will also use the AWS APIs via the AWS Cloud9 IDE (Integrated Development Environment), AWS CLI and AWS SDKs during edX's AWS Developer: Building on AWS online programme. The course will have numerous quizzes, practical exercises, class discussions and reading material/resources along with video lectures to enhance your learning.