Free It Software Courses & Certifications

Full-Stack Android Development course by Masai School would enable learners to realise their dream of becoming an Android Developer with the knowledge of the most in-demand technologies. The course has been designed according to the industry's requirements that keeps students on track to achieve their goals. 

There shall be daily standup sessions with peers to review the day's study materials before classes. Candidates will also get to relax through meditation classes. They can receive assistance in coding from their peers, Sherpas and TAs on Slack. 

Full-Stack Android Development Certification Syllabus will allow candidates to work on different projects to master key concepts and discuss the learnings in a group setting. They shall learn different ways to do a particular task and gain a wider perspective on the material. They will also learn different concepts such as System Design, Android architectures, design user interface etc. This 30 weeks Full-Stack Android Development classes programme by Masai will facilitate candidates in upgrading their career by working on different tools such as Java, Kotlin, Android, Gradle, Spring Boot, ALGO, DS, etc. These are the latest tools if mastered will bring golden opportunities for candidates. 

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Full Stack Development Certification Courses

C++ Foundation training is a free programme offered by PWSkills. The course can be taken by anyone and does not require any prior requirements. The online foundational course will cover both the basic and advanced concepts of C++. The course is 5 months long and is instructed in the medium of Hinglish. C++ Foundation online course will also help the learners in solving the coding problems and attending the coding interviews successfully.
Also, C++ Foundation Certification by PWSkills will give the learners a detailed knowledge of the basics of computer science and will discuss the topics of networking and OS/DBMS. After the online programme, the learners will be able to acquire skills in C++, MySQL and DSA.

Also, Read: 

• Computer Science Certification Courses
• C Certification Courses

The ever-increasing use of data and data storage has led to major innovations in the field of computer architecture. The gradual evolution in computer designs, networking components used or transmission of data, and devices used for storing data propose challenges to computer engineers to bring innovations in computer architecture.

The course will provide in-depth knowledge of building microprocessors, sequential processors, and pipeline processors. It will also provide insight into the working of the interior components and the microprocessors of modern times. It also focuses on teaching how to build vector processors. 

The entrant will explore various types of parallelism like process level, thread-level, and vector level. They will also be learning to build interior working components including varied structures and algorithms that are required to build present-day microprocessors.

Over and above, the course is designed such that it achieves high-quality standards that are at par with Princeton University. 

The High-Performance Computing course has been designed by industry professionals to provide the students with the most comprehensive and optimized solution on computing. The course has been structured at an advanced level. In the course, the students can learn the basics of computing by practising the various modules. High-Performance Computing benefits the students by providing them with the option of “self-paced” learning. To make the course more approachable the High-Performance Computing fee for all applying students has been kept free. Over the period of four months, the students will thus be guided and taught by industry professionals.

Artificial Intelligence (AI) as a domain boasts of long and rich history, a rapidly transforming present, and an actively evolving future. With the Intro to Artificial Intelligence course by Udacity, you will dive deep into the fundamentals of modern AI. Here, you will also explore the representative applications of AI. The instructors use interactive quizzes, rich learning content, exercises, etc., to teach you.

Besides, the Intro to Artificial Intelligence training aims to excite you about the enormous amounts of possibilities and applications available in the field of AI. You will also witness how AI is continuing to broaden the horizons of human capability beyond the imagination of humankind.

This Intro to Artificial Intelligence course is an intermediate-level study. It requires you have substantial probability theory and linear algebra understanding since the training builds upon the same. The free-of-cost programme has an approximate timeline of four months.

Moreover, the Intro to Artificial Intelligence course syllabus comprehensively covers probability uncertainty, statistics, Bayes networks, logic, machine learning, planning. The curriculum also focuses on computer vision and image processing, robot motion planning, robotics, Natural Language Processing (NLP), and more.

Gradle for Android and Java by Udacity is an online certification course wherein the candidates will understand the process of using Gradle tools, and the usage of package apps. In the Gradle for Android and Java certification syllabus, the core topics namely-Gradle fundamentals, Final projects, Gradle for Android, Advanced android builds and Gradle for Java will be covered in detail. 

Over the period of six long weeks, the certification course on Gradle for Android and Java online course the students will have their skills developed and strengthened in the domain of building automation and continuous delivery software. In the session, the students will be exploring the advanced Android development topics, learn the ways of configuring paid Vs free apps in the play store, learn and explore methods of integrating libraries and the process of testing apps on the site of the play store, etc. 

The Georgia Institute of Technology, USA, offers the Reinforcement Learning online programme by Udacity. This four-month-long course aims to teach you important Reinforcement Learning (RL) concepts. You will study through a blend of recent papers and classic work in the area.

Throughout the Reinforcement Learning online training, you will learn about automated decision-making from the point of view of Computer Science. The course offers in-depth learning content taught by industry professionals. You will learn via interactive quizzes, video lectures and practical exercises.

The Reinforcement Learning syllabus covers a wide range of RL topics comprehensively. These include convergence, generalisation, game theory, Bellman equations, MDP (Markov Decision Process), among others. You will also explore efficient algorithms, multiagent and single-agent planning, and more. 

The Reinforcement Learning course by Udacity also describes Temporal Difference (TD) learning and related concepts. You will also reiterate a result from a published paper in RL at the end of this advanced online programme.

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Deep Reinforcement Learning Certification Courses

The Human-Computer Interaction Online Course is a free online course offered by Udacity learning platform that discusses the principles of factoring in the interaction between humans and computer systems. The course will also explore the techniques used to design and evaluate user-centered systems.

Through the Human-Computer Interaction Training, learners will get familiar with the usage of Python, SQL, and statistics to contribute to critical findings and data-driven solutions. The course will be delivered through instructor videos and learning exercises. The Human-Computer Interaction Certification Course offers rich learning content taught by industry professionals.

The Data Science for Smart Cities training is a 16-week course and requires the effort of six to nine hours every week. Purdue University has designed a programme that falls under the engineering category. Prof Satish Ukkusuri and Eunhan Ka will teach the intermediate level course. Language of the training and video transcripts are in English.

The focus of the Data Science for Smart Cities online programme is how to utilise scientific tools and techniques to analyse, infer, and predict large-scale data. Data present in city networks and collected from various sources such as social media, GPS vehicular data, mobile phones, social network, etc. will be used. The  Data Science for Smart Cities syllabus will introduce basic data science methods for the analysis of these datasets. The  Data Science for Smart Cities training will deal with these methods as well as applying those using Python for smart city issues. 

Candidates can enrol for the Data Science for Smart Cities certification without paying any fee. However, the ones interested in acquiring a verified certificate can do so by purchasing it. Additionally, the  Data Science for Smart Cities certificate will be signed by the instructor and have the university logo printed, making it a valuable addition to resumes or CVs.

The Cyber-Physical Systems Security programme is aimed at providing you with an introduction to various cyber-physical systems and the security issues linked to them. Through this course, you will be familiarised with industrial control systems and critical infrastructure systems.  

The Cyber-Physical Systems Security online course will help you master job-ready skills that will enable you to take on any professional challenge. You will be taught by industry experts through rich learning content. Another advantage is that the course is self-paced, so you can study at your own pace.

The Cyber-Physical Systems Security certification by Udacity is a 16-week course offered by Georgia Teach. If you want to learn the state of the art of designing protection for your cyber-physical systems, you will benefit highly from this course. Most importantly, the course is completely free, so you can hone your skills no matter what your financial circumstances may be.

The Network Security course offers an introduction to network and computer security. Upon completion of this course, you will be able to evaluate works in commercial and academic security and will have the fundamental skills in security research. 

The Network Security online course begins with a tutorial on the basics of cryptography, cryptanalysis, and systems security.  The later chapters cover a number of monographs and seminal papers in a wide range of security contexts.

The Network Security syllabus covers basic topics like authentication, security protocol design and analysis, security modelling, and trusted computing. Some advanced topics like key general management, programme safety, intrusion detection, DDOS detection, and mitigation are also covered later on.

The Network Security certification by Udacity includes a variety of readings, most of which will come from seminal papers in the security field. The provider will provide the link to these papers on the course website itself. In addition, you will also receive critical reference materials.

The Emerging Trends & Technologies in Library & Information Services (ETTLIS) certification course has been structured to provide a depth understanding of the technologies that are used in the modern-day library. The course is designed for all the interested candidates, who wish to study this genre. 

The course on  Emerging Trends & Technologies in Library & Information Services (ETTLIS) certification by Swayam and IIT Delhi will be helping the applicants to understand the topics of- Institutional Repository and Digital Library Services, QR Code, Ranking/Accreditation, Ask the Librarian, Library Automation, EM, and RFID implementation, Use of Social Media, Remote Login, Discovery Services, Outreach programs, Reference Management,  Consortia based Services,  Open Science, Web 2.0 and 3.0 based Services,  Open Access, Digitalization, Green Library Concept, Virtual Reality Tools,  and others. 

The Emerging Trends & Technologies in Library & Information Services (ETTLIS) certification syllabus, will be completed within a period of 16 weeks. The course will take a total duration of 40 hours to complete the entire curriculum.

The Data Analysis and Visualization course is a free learning programme of sixteen weeks, where recorded lectures will be provided to the students via an online classroom platform. This course will help students gain exposure in the area through the use of cutting-edge modelling, analysis, and visualization approaches. The Data Analysis and Visualization syllabus includes three core modules. It will focus on practical issues with complicated real-world data and involve numerous case studies as well as hands-on work using the R programming language. The Data Analysis and Visualization training are of intermediate level. The course emphasizes the learning-by-doing exercises assessments. 

Analytical models play a crucial role when it comes to interpreting data, making business decisions, and predicting outcomes. The Introduction to Analytics Modelling online course is part of the MicroMasters programs in Analytics: Essential Tools and Methods. It will teach learners all about the fundamental analytical models and methods, and how to implement them using tools like R, which are common in the industry.

After completing the Introduction to Analytics Modelling online training programme, candidates will have at their disposal, all the tools needed to solve a particular business problem. But more importantly, they will know how to choose the appropriate technique, approach, algorithm, format, or data sets, from among these tools, and apply it at the right time. 

Learners from all parts of the world, except Iran, Cuba, and Crimea (Ukraine) can take the Introduction to Analytics Modelling course free of cost, courtesy of the Georgia Institute of Technology. Students will receive a verified instructor-signed certificate with the institute’s logo on it; they can share the accreditation on LinkedIn to boost their job prospects.

This is an instructor-paced course and the students can take it in two varied tracks; paid track and free audit track. In the paid track, the learners will have unlimited access to the programme and will be given a certificate of completion whereas in the audit track, they will have access only till a specified date. 

Traces of valuable data are a by-product of various actions taken by consumers, businesses, and societies. Leading companies across industries utilise these massive amounts of data to fuel an accurate decision-making process. With the Data Analytics for Business Advanced-Level course, candidates will learn how to replace guesswork and intuition with business analytics.

As candidates go through the syllabus of Data Analytics for Business certification, they will understand the scientific approach of how getting insights with the help of data has improved business decisions. The course covers the topics of issues, challenges, and methodologies relegated to business data analysis. Additionally, students will have the chance to apply proper business analytics methodologies and algorithms to business-related problems and avoid any mishaps during the process.

The Data Analytics for Business online training is a 16-week programme that requires a minimum study of around 10-12 hours every week. Georgia Tech offers this course, and the candidates will be instructed by Frederic Bien. This is an advanced-level course in the business and management domain with a provision for a verified certificate by paying a fee. This course provides two tracks for students to enrol; free audit and paid tracks. In the free audit mode, the learners will get access for only a limited period. 

With the advent of the Internet and increasing research regarding its prospects and possibilities, people have started to connect everyday objects using the internet and to create the Internet of Things. As the world is proceeding towards an Internet boom and as IoT devices are coming up online, the industry is sure to face some formidable challenges, which includes ensuring the security of its devices, analysing the data generated by these devices and powering billions of sensors therein. Therefore it becomes extremely important to understand underlying components along with the entire eco-system, various use cases or applications of IoT, its data analytics and integration issues.

Components And Applications Of Internet Of Things Certification by SWAYAM is a course that aptly and comprehensively deals with every detail of IoT. Perfectly curated and delivered by the IIT Patna faculty, it carries vast academic relevance. As an AICTE-approved course, it is sure to build the knowledge set of course participants through 15 weeks.

The objectives of the Components And Applications Of Internet Of Things Certification syllabus is to enlighten about the Basics of IoT and its components, computing and communication systems, IoT Protocols, Cloud-based design, Security of IoT and AI/Deep learning-based analytics.

The Computing for Data Analysis Certification Course is brought by the online learning platform of the Georgia Institute of Technology, to provide advanced-level learning in the field of Computer Science. The course is a hands-on introduction to the part of analytics, combining both the fields of computer science and mathematics. 

A candidate will strengthen the foundations of data-intensive computing and numerical related to computing through the course. The programme is aimed at the candidate to develop a new process of thought regarding basic principles related to programming that will also assist them in practising relevant topics of modern data analysis and learning data mining. The learners can pursue the programme in paid or free audit mode. The paid mode will enable the learners to have unlimited access whereas the free audit mode will provide access only for a limited period. 

The Computing for Data Analysis training also teaches the data analysis pipeline and the concepts of machine learning including the pre-processing, storage, and analysis of data and figures. With the application of basic mathematical tools like numerical linear algebra and algorithms, the students learn how to handle data-intensive computing. The verified track of the course also includes graded assignments that’ll help in polishing the analytical knowledge of the student.

To achieve the three main goals of the Indian Education Policy, i.e. Access, Quality, and Equity, the Government of India is providing free learning from Class 9 level up to Post-Graduation curriculum. 

The purpose of the campaign is to provide Higher Education keeping in mind the unavailability of economical resources, physical resources, and lack of an adequate Platform. All the courses that are listed on the website of Swayam have been devised by more than thousands of learned faculties and are reviewed and implemented by UGC, IGNOU, IIMB, NIOS, NCERT, CEC, NITTTR, AICTE, and NPTEL.

All the courses offered by Swayam including Database and Content Organisation Diploma programme, has four different approaches, to develop the grasping strength of the learner and to ensure a complete understanding- Online Discussion Forum for doubt solving, Video Lectures for audio-visual assistance, Online Reading Material for future reference and Self-assessment Tests and Quizzes for practice.

Blockchain technology is changing how business is done. That’s why it’s essential to know why it works and why it’s different from the technologies of the past. To that end, edX has designed the Blockchain: Understanding Its Uses and Implications online course, covering all the essential blockchain fundamentals and some advanced topics as well.

The first part of the Blockchain: Understanding Its Uses and Implications programme deals with the basic concepts of blockchain, like cryptocurrency, Bitcoin, triple ledger system, etc.  Next, the course dives into various methods of blockchain governance. The final part of the programme delves into the various use cases of blockchain, along with its real-life examples.

The Blockchain: Understanding Its Uses and Implications course is a self-paced learning programme that allows you to study on your own schedule. You also have knowledge checks after every module that lets you consolidate your knowledge. Lastly, by opting for the certificate experience, you can receive verified credentials at the course end, which you can utilise to get tangible career benefits. In case the stduents want free access to the course materials they can select the audit track which allows access for a limited period. 

Introduction to Cloud Foundry and Cloud Native Software Architecture certification course is an introductory course by eDx to cloud factory, which could help in developing the cloud technology skills in the aspirants. The course is structured by The Linux Foundation and this self-paced class is presented under the guidance of experienced instructors. 

The online Introduction to Cloud Foundry and Cloud Native Software Architecture course offers a free audit period to all enrolled learners which can be upgraded to a verified track account which grants unlimited access to the course, a certification, graded assessments and final examination.

The Introduction to Cloud Foundry and Cloud Native Software Architecture training course covers fundamental concepts related to cloud foundry, including distributions available to end users, an overview of the platform’s components, and what it means to be certified for the course. The learners can take this programme in two modes, namely, paid with a certificate and free without the certificate. When enrolling through the free mode, learners will be given access to the course only for a limited period.

It focuses on giving technical instructions on how to use the command line interface, how applications are deployed, what services are within the system’s context and basic debugging practices. The cloud computing course also includes workshops which grant the student the knowledge of building cloud native applications architecturally and ideologically. 

Introduction to Cloud Infrastructure Technologies certification course provided by edX in association with The Linux Foundation is an introductory level, self-timed course in computer science perfect for beginners of cloud technology. It is instructed by experts of The Linux Foundation who will help the candidates with the fundamentals of cloud computation and comprehending today’s cloud technology. 

This course will help the candidates to outline and navigate the cloud scenery, manage cloud infrastructure, maximize cloud operations & development, and describe how different platforms and tools are integrated. The course will also teach candidates about different cloud technologies like OpenStack, Docker, Kubernetes, and Cloud Factory. The course is self-paced but the candidates will be able to access the course only for a limited period when they opt for the audit mode. For unlimited period access, the candidates need to choose the verified mode.

This Introduction to Cloud Infrastructure Technologies training course also deals with the overview of accurate network and storage solutions along with the performant computer. It teaches the candidates how to observe the integration practices, DevOps, and improvement of available tools that will help the candidate in the future to meet their company’s business objectives.

Machine Learning is a highly in-demand curriculum for this generation. Machine Learning gives computers the ability to learn from experience without being programmed explicitly. EdX’s Machine Learning certification course is concerned with both the theoretical and practical aspects. The curriculum will present the candidates with statistical unsupervised and supervised learning methods for data remodeling and data analysis.

Georgia Institute of Technology offers the Machine Learning online course by EdX, and the university’s Executive Associate Dean Charles Isbell teaches the programme. It is an intermediate-level course that covers various theoretical concepts like the Inductive bias, the minimum description length principle, Ockham’s razor, etc. The training includes several projects and programming assignments for candidates to get a more concrete understanding of the topics. 

Students learn about various topics such as randomised search algorithms, reinforcement learning, Bayesian learning methods, etc.  After completing the Machine Learning training, the candidates will get three credits and a certificate of completion after paying the fee for certification. It will take around 14 weeks to complete the programme, and classes will be conducted online through video lectures. 

Kubernetes as a container orchestration medium has been gaining momentum for some time now. Teams in corporate settings with an increasing dependency on Kubernetes are now seeking guidelines to kickstart the transformation of their organisation with cloud-native patterns. Introduction To Kubernetes Certification Course is the right course for individuals to equip them with enough skills for software container orchestration and increase the utilisation of Kubernetes without the element of infrastructure complexity.

Taught by experts in this field, the Kubernetes course discusses the key and basic concepts of Kubernetes while touching upon the architecture making up the system, the problems it resolves, and the model incorporated for handling containerised scaling and deployments. From giving an introduction to Kubernetes, the course proceeds to provide technical instructions to candidates while working on multi-tier and stand-alone applications. They will also get hands-on experience with Secrets, ConfigMaps, and Ingress with this best Kubernetes course. The candidates will get only limited access to learning in case they select the audit mode of study. In case the candidates have selected the verified mode they will have unlimited time access for learning.

Post-completion, developers-turned-learners will acquire a solid understanding of the origin, building blocks, and architecture of Kubernetes. The holistic curriculum crafted and taught by experienced instructors takes the Introduction to Kubernetes training course takers on a journey of testing the new cloud-native pattern while offering them the opportunity of verified certification.

The course is about Hyperledger Sawtooth which is an open-source project under the Hyperledger umbrella that works as an enterprise-level blockchain system used for deploying and running distributed ledger applications, networks and building. 

The Hyperledger Sawtooth for Application Developers course starts off with the basics of blockchain technology, then talks about the concepts of permission network, the features of Hyperledger Sawtooth, Sawtooth Simple Supply, simplified supply chain example, and sample distributed application. The blockchain application will include a transaction process which is the equivalent of a smart contract, a web-app frontend, a custom REST API for communication, and blockchain business logic.

The candidates will learn how to code the sample application which will teach them the important concepts of Hyperledger Sawtooth and will help them understand how to create their own enterprise-level Hyperledger Sawtooth application. The students can enrol in this programme free or paid. In the paid version, the candidates will have unlimited access and a certificate of completion whereas in the free version, they will get access only for a limited period.

The candidates looking to take Hyperledger Sawtooth for Application Developers certificate course will need programming experience with JavaScript, Python or any other similar languages and have a general idea about protocol buffers. Candidates who can understand ZMQ as a custom REST API use it to communicate with them. At the end of the course, they will be certified by edX if they have completed it under verified track.

The programme on ONAP by edX is formulated to provide every aspiring candidate with a high-level foundation base and a deep understanding of Complete Network Automation and its operation related to the business world. The course in detail will help the candidates to learn the primary techniques of Network Function Virtualization (NFV).

The Certification Programme on Introduction to ONAP: Complete Network Automation helps aspiring students learn how Open Network Automation (ONAP) builds and maintains a virtual and physical network, ensuring better connectivity. The course will allow students to learn about ONAP architecture in detail.

He/she will be taught the basics of understanding customer feedback and work on building a better network connection.  Students during the course will also be guided by professionals and industry leaders. This is a self-paced course and can be pursued by the candidates paid or free. When taking the course in the free mode, the learners will have access only for a limited duration. 

The course also has the provision of providing real-world projects to every candidate ensuring their all-round development. High-level understanding and analysis of business modules is in-corporate to ensure better selling of ONAP-based products.

The course Introduction to Open-Source Networking Technologies by edX provides candidates with knowledge about the technical fundamentals required for adopting orchestration, SDN, network automation, NFV, disaggregation, and modern networking. Candidates will also be able to gain more knowledge about the foundation projects of the Linux Foundation. 

These skills are highly relevant in the industry as they have the potential to shape the future of telecoms and networks. Candidates participating in the programme will gain exposure to various areas in networking hardware disaggregation, virtualisation, and orchestration, and many more. This course is a self-paced course and hence the candidates have the liberty to learn whenever and from wherever they feel the most convenient. The students can pursue this programme in two modes, namely, paid and free. In the paid mode, students will be given unlimited access to the course and a certificate of completion whereas in the free version, they will be provided access to the course only for a limited period. 

This course is designed by The Linux Foundation for those who want to gain more information about open-source networking. The course duration is 14 weeks, requiring a study of 4 to 5 hours per week. This is an introductory level course and hence is perfect for candidates who want to start their studies in this field.

The Computer Networking course is an intermediate-level course spread across three months. It comprehensively covers advanced concepts and topics in computer networking, including Data Center Networking, Software-Defined Networking (SDN), and Content Distribution.

To simplify your learning experience, the Computer Networking course syllabus has been divided into three parts. The first part deals with the design principles, implementation, and goals of a computer network. It also briefly touches upon the various routing algorithms used in CN, like distance vector and link-state.

Further, the second part of the Computer Networking programme talks about content distribution and resource control in networking applications. It also covers traffic shaping and congestion control in detail via rich learning content and interactive quizzes.

Finally, the last part of the Computer Networking training course touches upon the management and operations of computer networks traffic engineering, network security, and Software Defined Networks (SDN). This online course is entirely self-paced and free to enroll in.

In the Analytics Edge online programme, candidates will learn how to use data analytics, and how it can transform a business or an industry. Candidates will learn about various analytical methods. These include linear and logistic regression, text analytics, clustering, trees, visualisation, and optimisation. Candidates will learn how to work with data and build models with the statistical software R. 

Furthermore, the Analytics Edge course by edX, courtesy of MIT, follows the examples of Netflix, Twitter, IBM, Moneyball, e-Harmony, Watson, and the Framingham Heart Study, among others. Candidates will be instructed through short video lectures, usually between four to eight minutes each. 

To evaluate their understanding of the material, candidates will be asked a “quick question” after each video lecture in the edX Analytics Edge programme. Using new examples and data sets, the teaching assistants will go over all the methods discussed. Candidates will also be given a homework assignment each week, wherein they will have to work in LibreOffice and R with various data sets. The final exam will also be similar to the homework assignments.

Developed by the IIT, Kharagpur faculty, the Machine Learning For Soil And Programme Offerings Tags: Management certification is a 12 weeks online course. The course is an AICTE approved one that can be found for studying on the Swayam website. This undergraduate-level course is taught by a professor of IIT, Kharagpur named Somsubhra Chakraborty. The course has been developed to learn new eco-friendly ways to replace the traditional ways of enhancing crop productivity.

The Machine Learning For Soil And Programme Offerings Tags: Management is designed to cover the separate applications of deep learning, and machine learning for better management of soil, and crops. Ideal for even undergraduate students, this course can allow the learning to be applied by these students for the development of portable sensors that can be developed based on an integrated management system of soil, and crops. Though an electronic mode of certification is offered, the exam conducted is proctored.