Free It Software Courses & Certifications

Big Data Analytics in Healthcare Certification Course is to analyze and extract usable information from Big Data, to be precise Medical facilities like hospitals and colleges use both structured and unstructured data in their practice. Structured data has a predetermined schema, it is extensive, freeform, and comes in a variety of forms and formats. On the other hand, unstructured data also referred to as Big Data (BD), does not fit into the typical data processing form and format.

Candidates learn how to use Big Data Analytics techniques and tools to analyze and extract information from Big Data (BD). And such results of Big Data Analysis can be used to predict the future, help in creating trends about the past, and neutralize them. When it comes to healthcare, Big Data Analysis allows the study and examination of large datasets from thousands of patients, identifying clusters and correlations between data sets.

Big Data Analytics in Healthcare Classes will enable candidates to take data-driven decision making, receiving better-personalized predictions about prognosis and responses to treatments, that influence health at the patient level.

All candidates undertaking the course shall receive Big Data Analytics in Healthcare Certification by the Georgia Institute of Technology through Udacity.

The Artificial Intelligence for Robotics certification course is a free course of two months, where the training will be provided via an online platform. The course is offered by Georgia Tech Masters in Computer Science. The course will include the final project as the evaluation criteria for the certification. The Artificial Intelligence for Robotics training provided is of the advanced level. This course will cover the fundamentals of artificial intelligence, such as planning and search, probabilistic inference, localization, control, and tracking, focusing on robotics. The candidate will get Artificial Intelligence for Robotics certification as the course will end. The course will be taught by the industry pros themselves. In total, the Artificial Intelligence for Robotics certification syllabus contains six lessons that will be covered in two months.

The Data Wrangling with MongoDB online course is a part of the Data Analyst Nanodegree, offered by MongoDB, in association with Udacity. It will teach you about data wrangling from diverse sources and how to shape it to facilitate data-centred applications. You will also learn how to extract and gather data from popular data formats.

The Data Wrangling with MongoDB certification syllabus includes the fundamentals of data extraction, assessing data quality, and data cleaning’s best practices.  The curriculum has seven broad lessons that are further divided into different modules. You can finish the whole course in approximately 2 months. What’s more, instructors will familiarise you with MongoDB, data storing essentials, MongoDB’s query language, and its aggregation framework.

The Data Wrangling with MongoDB training by Udacity is a self-paced intermediate course that consists of multiple learning aids. These include instructional videos, practice exercises and quizzes. This is an excellent course if you want to apply for entry-level data science positions or are a working professional.

The Software Architecture & Design training programme is an intermediate level course delivered by Udacity and Georgia Tech. The programme has been designed to teach the concepts and principles involved in designing and analysing large software systems. It will run for a duration of approximately two months.

The Software Architecture & Design course curriculum has been divided into four sections that include Introduction, UML and Analysis, Software Design, and Software Architecture. You will learn through rich learning content crafted and taught by industry professionals. You will test your knowledge through interactive quizzes and learning exercises.

In addition, the Software Architecture & Design online course is free of cost to join for everyone. The programme has been offered by Georgia Tech in collaboration with the Udacity platform.

If you are a Software Engineer, this course can propel your career forward and help you gain better career opportunities. Moreover, since the format is self-paced, you can manage to complete the Software Architecture & Design training along with your job by learning at your convenience.

The Developing Android Apps with Kotlin certification course will teach the applicant how to architect and create android apps using industry-proven software and libraries in the Kotlin programming language. They'll be able to build applications in less time, with less coding, and with fewer errors if they use these strategies. Google collaborated with Udacity to create this Developing Android Apps with Kotlin online course. 

Students will create actual android applications using industry best practices and new software design as part of this Developing Android Apps with Kotlin certification. They'll learn how to use android Jetpack modules like room for databases, job manager for background processing, and the latest navigation component, among other things. Candidates can use core Kotlin features to write more succinct and faster app code. The candidate will be guided through the process of learning to build on android, which entails far more than just learning APIs and shortcuts. 

It's a programme and Developing Android Apps with Kotlin training that teaches you how to act like a mobile developer. This course is in association with Google and the complete online training will be provided to the students. Self-paced learning will be required to complete the course efficiently from the hands of the students. 

The Android Basics: Multiscreen Apps training can be availed at no charges since it is a free programme. The programme is an online course and can be joined from the official website of Udacity. People who register for this course will be able to understand and develop a language learning app by the time the course ends. The self-paced learning environment offers candidates to choose their own deadlines and schedule to study from the course. Students need to set their study schedules in a way so that they can complete theAndroid Basics: Multiscreen Apps certification syllabus in a time span of 2 months or 8 weeks. 

Students will get a chance to qualify for the certification at the end of the Android Basics: Multiscreen Apps online course. In addition to lectures, students will also be able to be a part of quiz sessions and other class activities. The programme is handled by two industry professionals. There will be neither deadlines nor a minimum attendance percentage to be maintained for the Android Basics: Multiscreen Apps certification programme.

There is no doubt that the AI revolution is being driven by deep learning. Machine learning and AI are gaining popularity as it helps make data-driven business decisions. With a deep understanding of AI & ML, you can take your business to an all-new level.  PyTorch makes it convenient to build applications used for deep learning. The programme will teach you how to build and train deep neural networks using Pytorch. This practical experience would hone your skills to use them in your personal projects. 

Intro to Deep Learning with PyTorch online course explores how to use PyTorch using coding exercises and projects. This will help you implement state-of-the-art AI applications such as text generation and style transfer.  This is a free course that offers instructional videos, interactive quizzes, and self-paced learning. 

Intro to Deep Learning with PyTorch takes about two weeks to complete. This is an intermediate-level course and requires a working knowledge of Python and its libraries Matplotlib and NumPy. The industry experts for this course are a panel of five educators: Matt Leonard, Soumith Chintala, Luis Serrano, Cezanne Camacho, and Alexis Cook. 

Udacity’s AWS Machine Learning Foundations online program aims at teaching you key technologies of AWS (Amazon Web Services) machine learning. It is an industry-oriented course. Throughout the course duration, you will study python coding, programming’s best practices, and Machine learning algorithms and techniques.

With insightful learning content taught by industry experts, real-life examples, and interactive quizzes, you will build a solid foundation in object-oriented programming concepts. The AWS Machine Learning Foundations online course will also introduce you to Amazon Artificial Intelligence (AI) Devices and Amazon AI Services. You will get acquainted with Amazon DeepComposer and Amazon SageMaker.

The AWS Machine Learning Foundations training by Udacity will set you on a track to become a Machine Learning Engineer. You will gain in-demand AI and machine learning knowledge and skills through high-quality video lectures and practical exercises. Also, you will explore standard software engineering practices, machine learning, and deep learning concepts in this beginner-level course.

The large quantum of data that is being generated from laboratories and clinics has the potential to unearth trends and inferences which can transform our efficiency in providing patient care. This management of data is a mighty task for most of the community.

The Demystifying Biomedical Big Data: A User’s Guide online course aims at the rudimentary understanding of the data being generated, its analysis, and subsequent interpretation for those professionals who are involved in the bioinformatics field. You will find most of the catchphrases being demystified over the course of this engagement.

The US National Institutes of Health is gracious enough to fund the operations of the Demystifying Biomedical Big Data: A User’s Guide program, and to deploy competent resources that make this program understandable by the participants by putting in 3 to 6 hours per week. It’s a self-paced program and can be taken while keeping one’s job.

Offering 2 credits, and having a course level of postgraduate, the Big Data Computing certification is an 8-week course. This certificate course has been curated by NPTEL and IIT Patna, on the Swayam platform. The curriculum is the presentation of the IIT Patna faculty mainly for students. Or engineers or even scientists of all fields of studies who want to seek ideas related to Big Data Computing and its applications.

Big Data Computing training is very important in this world of gathering different data components of social media, transactions records of purchases made, cell phone GPS signals, climate information, and more. Big data computing will help participants to solve data problems related to such a big variety. This certificate course which is free will guide all the participants through the applications, problems, and technologies that are used by big data. Moreover, this certification has the backing of several big tech companies like Microsoft, Amazon,  IBM, Google, and Facebook 

Advanced Graph Theory certification course will offer the candidates learning on the different notions of the graph theory. All the theories and algorithms have been well discussed so that the candidates know their importance in the field of computer science.

The aspirants will be covering the fundamental principles during the course along with the techniques in the field of Graph Theory. Some emerging applications will be discussed with the candidates so that they have a glimpse of significant impact. Spanning trees and enumeration are headings where the experts have laid emphasis on. The course prepares the candidates for industry exposure as well.

After the completion of the Advanced Graph Theory certification, the candidates will be having intimate knowledge about the role of graph theory and the technology used to solve all of these problems. The candidates will be coming across many of the theorems and how the algorithm is formed for each of these in the computer science field.

The interdisciplinary field of human-computer interaction is a relatively new domain of study. It has gained traction due to an increased spread of consumer electronic products. The User-Centric Computing for Human-Computer Interaction certification course is designed to teach you the ideas governing this field of study. You will study how to design user-centric systems from a computational/engineering viewpoint.

The User-Centric Computing for Human-Computer Interaction certification course will focus on the challenge of making interactive systems user-friendly for laypeople. During the course, you will learn how engineering and computer science are essential to design such systems. You will also understand how user behavior and mental state are captured, modeled, and integrated into the design process to make the interactive systems responsive.

The User-Centric Computing for Human-Computer Interaction online training programme lets you look at the computational and engineering problems in developing human-computer interfaces. This eight-week-long course by Swayam is an FDP course approved by the AICTE.

The Computer System Design: Advanced Concepts of Modern Microprocessors course by edX is a computer science course that explains advanced concepts behind today’s multi core-based computers’ design. Derived from the Chalmers University of Technology’s advanced graduate programme in computer architecture, this six-week training is instructor-led, requiring four to six hours of studying every week. 

The Computer System Design certification syllabus covers an extensive range of topics. These include the essentials of exploiting parallelism amidst instructions, like branch predictions, out-of-order executions, exception handling, etc. It also touches upon memory systems’ advanced concepts, including cache coherency and prefetching. These vital learnings will help you understand how future computer systems will rely on these to maximise their computer effectiveness. 

Furthermore, you can audit this Computer System Design: Advanced Concepts of Modern Microprocessors online course for free thereby getting limited course material access or paying to receive the certification during the verified track that offers unlimited course access. There are video transcripts to help you understand the curriculum lessons fluidly. You will also be part of a learners’ community, filled with like-minded individuals to discuss topics.

Understanding a modern computer’s building blocks and how they directly affect a program’s efficiency and speed is crucial to being a skilled computer science professional. Whether you work with mobile computer-based, cloud, or embedded systems, energy efficiency and performance are the key drivers of competitiveness and usability of computerised products. EdX presents the Computer Systems Design for Energy Efficiency certification course to make you fluent in these concepts.

The Computer Systems Design for Energy Efficiency certification syllabus will teach you about designing modern multicore-based computers. It will also guide you in understanding how your design choices impact energy consumption and performance. The curriculum covers design principles like cache memories and pipelines that govern modern microprocessors and ways to determine your design’s effect on energy efficiency and execution time. 

Offered by the Chalmers University of Technology, the Computer Systems Design for Energy Efficiency programme originates from their senior undergraduate curriculum in ‘Computer System Design’. This six-week intermediate training follows an instructor-led schedule, which you can either audit for free or purchase to get the prestigious certificate. It is entirely online and requires no prior knowledge about how computers work. Students can choose their paths from among the ones stated on the Edx website. These are called the audit and the verified track which are both self-paced. The verified track is payable but offers unlimited access and the audit track is completely free but offers only limited course material access.

The Data Analytics and Visualization in Health Care course is a composite course created for learners of different levels of understanding and with multi-discipline backgrounds. Big data has transformed the way the healthcare industry functions. With factors like improvement of quality, reducing costs and patient engagement being key objectives to focus on, the techniques used for analysis, processing and even collecting health care data have seen a massive advancement. This Data Analytics and Visualization in Health Care certification course will teach candidates the use of Data Analytics in the healthcare sector and its implications on the organization. 

The Data Analytics and Visualization in Health Care online course will help candidates in creating a foundation that helps in creating a data analytics program designed specifically for the healthcare domain which tackles the most burning question of the industry and provides a visual solution for deeper and more impactful answers to the applicants. Students can enrol in the course either by paying the fee or free of cost. While taking the programme for free, the learners will get access only for a limited duration. 

The Course in Information Technology online course is an important course based on the evolving digitalised world. Since most of our day-to-day life interactions, work, and institutions use IT, this course aims to increase the digital literacy of its learners. The complete knowledge of digital media and its key usage is covered throughout the course curriculum. It mainly revolves around thinking, storing, and processing, present, and future processes.

The course will run through the online mode. The course curriculum consists of 30 modules. The entire course will have 3 credits which can be transferred after course completion. The course is designed for individuals opting for or is already at the undergraduate level. This course will provide reference links given by IT experts. The course is free of cost. The course platform is initiated by MHRD. The course is verified by Savitribai Phule Pune University. The course curriculum will consist of assignments and multiple-choice questions.

The Course in Information Technology by Swayam offers a verified certification. The certification can be availed after passing the final proctored examination. The candidates can grow their careers in the IT sector with the course certification. It will add more professional networking opportunities.

To help ensure optimum use of resources, and deliver the benefits promised to citizens and beneficiaries, the public service sector, multilateral development agencies, and even the non-governmental sectors rely on monitoring, evaluation, and other results-based management tools. As such, the need for courses like the Results-Based Project Management: Monitoring and Evaluation by edX are more pressing now than it has ever been.

The University of the Witwatersrand, Johannesburg (Wits University) has created the Results-Based Project Management programme, collaborating with CLEAR Anglophone Africa, to address the increasing demand for Project Managers in Africa and other parts of the world.

The Results-Based Project Management Certification Syllabus starts by introducing the results framework and its performance indicators. You will learn how to use monitoring and evaluation systems as sources of evidence, which managers can use for decision-making.

The Results-Based Project Management online course will also help you develop a results-based approach for designing and managing public sector programmes. You will learn how to optimise resource use and ensure that the project delivers the desired tangible benefits.

Problem-solving for humans can be a tough nut to crack, and that is why certain approaches to problems can be tweaked for efficient resolution. Problem-solving in the field of artificial intelligence is not confined to a single approach but many. Problem solvers may be based on memory, search, reasoning, and knowledge representation. In AI: Constraint Satisfaction certification course, the approach to problem-solving by posing them as constraint satisfaction problems has been discussed lucidly along with the general methods to solve them. 

AI: Constraint Satisfaction certification by IIT Madras. The course is taught by renowned IIT Madras faculty Prof. Deepak Khemani. Throughout this course, candidates will learn how a user poses a problem as a CSP, and then calls an off-the-shelf solver. This course carries two credits and will teach candidates about the general approaches to solving finite domain CSPs while exploring how search can be clubbed with constraint propagation to determine solutions in the field of Artificial Intelligence.

The AI: Constraint Satisfaction online course is a companion to Artificial Intelligence: Search Methods for Problem Solving course and Artificial Intelligence: Knowledge Representation & Reasoning. It has been approved by AICTE as an FDP course to upskill the faculty in the current domain.

In the Introduction to Watson AI online course, the applicants will be learning the working principles of using Artificial Intelligence with the help of the mechanisms of IBM Watson. The students will be studying the ways AI works on the IBM platform. The ways of how Watson works with its client will also be covered in the Introduction to Watson AI certification syllabus. 

The Introduction to Watson AI programme will be delivered in 8 weeks time frame. The module will cover important topics and will help the candidates develop an understanding of-  How IBM Watson AI works, Experience and demonstrate AI in action yourself using Watson, Common use cases for AI, Fundamentals of AI and Watson machine learning, and others. For making the course accessible subtitles are available and lecture videos, quizzes, and assignments have been provided. The programme has the provision of self-paced learning.

Learners will have the leverage and choose any track from the two mentioned ones: audit and verified tracks. These tracks are self-paced and offer limited and unlimited course material access for the verified and audit tracks respectively.

Understanding different risks and issues involved in cloud computing projects and proper management of these issues using the new cloud computing technology forms the crux of Cloud computing Engineering and management certification by edX online programme. Cloud computing Engineering and management programme is provided by edX, an online education providing platform along with the reputed institutions of University of Maryland global campus (UMGC) and University system of Maryland (USM). 

This instructor-led course runs on a scheduled based system which is under the guidance of experienced professors from these universities. The students are provided with the option to audit the Cloud computing Engineering and management training for free and to purchase the complete course with unlimited access and graded assignments, a fee has to be paid. This course is part of the online course series of MicroMasters program on Cloud computing itself.

This cloud computing training course provides the students with a comprehensive curriculum that is centered around cloud computing technologies and their various applications and covers many important concepts such as Resource pools, Cloud Migration, Cloud service level agreements, and other business practises. 

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 an instructor-led mode but the audit track offers only limited access to the course materials without any cost, and shares no certificate of completion. The verified track on the other hand offers unlimited access thereby offering a certification only if the candidates are interested in paying some money.

Also Read: Cloud Computing Certification Course

The Cloud computing infrastructure certification course by edX is part of the program from UMGC. Cloud computing infrastructure training helps the candidates learn better about the technologies behind the cloud infrastructure, both public as well as private. In the training different components such as compute, storage, networks have been well covered by the team of experts.

The Cloud computing infrastructure training comprises assignments, projects, quizzes and tasks. The will also cover one of the most popular cloud architectures used in cloud computing. In-depth knowledge of different issues will be covered and cleared out to the candidates. Cloud service models have also been involved to help the candidates get a much clearer picture of the topic.

After the candidate successfully registers themselves and completes the Cloud computing infrastructure online programme, they shall be given a certification. The candidates can use this in the later stage to get promotion in their career life, salary hikes or be tutors for the following course. 

The programme has two tracks: audit and verified, which may be chosen by a candidate. Both the tracks have an Instructor-led mode but the audit track offers no certification and allows limited-time access to the course materials free of cost. The verified track offers unlimited chances to view and learn the course thereby offering a certification only if the candidates are interested in paying some money.

The method and ways of protecting the critical data in a cloud technology to build a strong and powerful system environment will be covered. The Cloud Computing Security online course will be introducing the students to the practices that revolve around cloud security in the environment. The government documents will be provided to the students as a part of their case study work. They will be reviewing the documents and framing the solutions according to their observations and will also frame their own cloud computing solutions. 

The Cloud Computing Security training is a part of the extensive “Cloud Computing Micro Master’s programme from UMGC”. The training will be helping the candidates to learn about the security tools and help detect any possible security breaches. The Cloud Computing Security certification course will be conducted by the instructors and will be focusing on “Computer Science” as a domain. Also, for better learning the students will be given transcripted video lectures.

Swayam offers the Cloud Computing and Distributed Systems training programme under the guidance of NPTEL and a well-structured course from IIT Patna. This is an AICTE-approved course with an FDP provision as well. The course will span over eight weeks. Prof Rajiv Misra from IIT Patna leads the online course. 

The Cloud Computing and Distributed Systems online course explore the delivery of storage, applications, computations, and more IT resources. This is achieved using the platform with the business model of the pay-as-you-go. The course provides in-depth information about current cloud computing technologies. Candidates will understand the concepts of distributed computing and distributed algorithms with this Swayam’s cloud computing course.

After discussing these techniques and concepts, the course will introduce features of industry systems like Google’s Chubby, Apache Spark, MapReduce, and many more. The Cloud Computing and Distributed Systems certification syllabus requires candidates to understand data structure and algorithms. The curriculum is highly comprehensive and consists of eight modules and various reference books. 

Data Science: Linear Regression online course offered by edX is an opportunity for the candidates to get insights about data science and linear regression. It covers implementation of linear regression and adjusting for confounding in practical work while using R. 

The Data Science: Linear Regression certification programme at a stretch of 8 weeks, gives its candidates exhaustive knowledge about linear regression and its applicability. The video-based, self-paced learning course is offered by Harvard University. The course is an ideal opportunity for the candidates to learn the subject through data-driven case studies for a better understanding of the subject. 

The Data Science: Linear Regression classes programme is free to access for everyone. However, to get the verified certificate, the candidate must need to upgrade to the verified track. During the audit track, the candidates will be able to access the course for free but that too only for a limited period. The Data Science: Linear Regression training is instructed by Rafael Irizarry, the professor of Biostatistics, at Harvard University, to make the candidates professionally skilled and enabled for a promising future ahead.

The Data Science: Productivity Tools certification course will be helping the students to organise and keep their projects and assignments in a structured way and reproduce the files and reports using tools namely- git, GitHub, RStudio and Unix/Linux. The Data Science: Productivity Tools online programme will be teaching the participants the different techniques to use the Linux and Unix tools for managing the data files and the directories that are present in the computer. Candidates will further be introduced and taught the importance of system git which is a powerful tool that will help to keep track in case there is some change in the tracks of the reports and files. 

The Data Science: Productivity Tools by edX will further help the applicants learn the basic functions while making a report in R functions and the ways to incorporate the provided code into the document. The eight-week Data Science: Productivity Tools certification programme will involve multiple projects and parts comprising- different scripts and data files. The course offers 2 tracks of study that can be chosen by the candidates - one is the audit and the other is the verified track. In these 2 tracks, the candidates can study in a self-paced mode. Though the course can be learnt by self, the candidates will have limited access to materials during the audit mode, and unlimited access during the verified track.

In the Data Science: Wrangling course by edX a piece of our Professional Certificate Program in Data Science, we cover a few standard strides of the information fighting cycle like bringing information into R, cleaning information, string handling, HTML parsing, working with dates and times, and text mining. 

Data Science: Wrangling certification is offered by the platform of edX in association with Harvard University. Professor Rafael Irizarry aims to provide the candidates with the skills and insights about Data Science and subjects associated through videos and discussion forums.

The candidates are provided with the online Data Science: Wrangling certificate with the signatures of the instructors on it. Data Science: Wrangling classes being a self-paced course offers flexibility to its candidates to learn at their own pace and comfort. Among the two tracks, the candidates will be able to choose either the verified track or the audit track. In the audit track, the candidates will be able to learn and complete the course within a limited period. Again, on the other hand, the students will be learning the course for an unlimited period.

The candidates can also opt for an associate programme on Data Science offered by edX again for a better understanding and in-depth knowledge about the subject along with Data Science: Wrangling training. 

The Principles, Statistical and Computational Tools for Reproducible Data Science course has been meticulously created keeping in mind the wide usage and huge importance of reproducible research across various disciplines. The Principles, Statistical and Computational Tools for Reproducible Data Science certification thoroughly covers all the fundamentals of reproducible science in a very lucid manner and adds on to various useful computational tools, thus appealing to a very wider audience in various fields like data science, bioinformatics, biostatistics, computational biology etc. 

The 8-week self-paced Principles, Statistical and Computational Tools for Reproducible Data Science classes are the perfect blend of video lectures, case-based studies and computational tools and can act as an asset to the knowledge of reproducible science of the candidates. Various intricate nuances such as data provenance have also been thoroughly explained in the course material. The best practices prevalent in pattern designing are also shared with the candidates. The Principles, Statistical, and Computational Tools for Reproducible Data Science online course encourages the candidates for peer-to-peer engagement for a great network and also acts as a place for intellectual and intense discussions on the topic.

There are two pathways in which enrolling in this course of edX is possible. One is the verified track, and the other is the audit mode. During the audit mode, the candidates shall have limited time access to the course, but access becomes unlimited during the verified track.

The participants can register and learn the difficult concepts and topics in the theory of probability. The basics of probability have been well cleared by experts at every point in the Data Science: Probability online course.

The Data Science: Probability certification syllabus comprises assignments, exams, and projects at the end of every concept. Different important concepts such as variables, and standard errors have been well taught in Data Science: Probability training. To understand the foundation, the basic terms will be cleared in the initial phase followed by the complexity in the next level.

At the end of the Data Science: Probability programme, the candidates will get certificates that help them stay motivated. The candidates can share it or add it to their resume. Adding it to the resume or CV helps them get better jobs or hike in the salary. The process of learning in the Data Science: Probability online certification is so clear that the candidates will have a firm understanding of the topic. There are 2 pathways to enroll in the course, one is the verified track, and the other is the audit mode. During the audit mode, the candidates shall have limited time access to the course, but access becomes unlimited during the verified track.

Data science is the study of using machine learning techniques and statistics to analyse raw data and find patterns and information. Several industries use it to make better business decisions, and researchers employ it to test out models or theories. The Data Science for Engineers programme will explore two main concepts, Big data and Data Science. 

Data Science for Engineers certification syllabus has been designed in association with NPTEL and IIT Madras. Professors Raghunathan Rangasamy and Shankar Narasimhan will teach the course, which aims to introduce participants to programming language R, familiarise them with mathematical foundations for data science, study data science algorithms, and provide practical knowledge using case studies. 

Data Science for Engineers training is an eight-week online course with the option to obtain certification. Candidates will have to submit periodic assignments and appear for an end-of-term offline exam to qualify for certification. Furthermore, organisations like Honeywell, Gyan Data Pvt. Ltd., Ford, and ABB, recognise this programme, and thus, learners can seek job profiles in similar industries.