Online Engineering And Architecture Courses & Certifications

The Introduction to Aeronautical Engineering programme lends an introductory perspective to aeronautical fundamentals. This engineering course explains the fundamental concepts and working principles of flying. Topics touched upon include flight phases, earth’s atmosphere, propulsion, stability, navigation, and wing impacts.

The Introduction to Aeronautical Engineering Syllabus is split into three learning blocks, focusing on the history of flight, aerodynamic principles, and flight mechanics. Offered and developed by the Delft University of Technology- also known as TU Delft, one of the oldest universities in the Netherlands for technological studies, this online training runs for seven weeks. Instructors for the course are experts in Aerospace Engineering and current lecturers from the university.

This Introduction to Aeronautical Engineering online training is set at a student’s pace, which allows learners to revisit lessons with pre-recorded classes. Free course materials that come with the course belong to the copyright of Delft University. Additionally, students can pursue a verified certificate to highlight their acquired skills. The certificate is available after students pay the required fee.

The candidates may enroll in this course for free or by paying a certain amount of money. There are 2 tracks namely verified or audit track which offers direct access to the course materials. If the candidates opt for the verified mode they are entitled to unlimited access and if they opt for the audit access, they are going to receive only limited access to the course materials.

Space exploration is an interesting and extensive domain. Individuals seeking a career or simply interested in its impact and history must take the Conquest of Space: Space Exploration and Rocket Science course by edX. This online course is bound to be a rewarding journey for the enrolled candidates. 

You will learn the political, cultural, and technical aspects of space exploration in the Conquest of Space training course. You will dive into the history of space and its impact on mankind. The curriculum will take you through the Apollo and the post-Apollo era. Besides, the current space exploration trends will also be dealt with in this programme.

The Conquest of Space programme has a duration of seven weeks and is ranked as introductory-level training. The Carlos III University of Madrid’s faculty members will instruct this programme through video lectures. The course content is in the English language. Moreover, it is free of a charge training programme that follows a self-directed training path. Besides, this edX has a self-directed training model but offers only limited access during the audit track and unlimited access to the course materials when the verified track is selected.

The Visual Perception for Self-Driving Cars certification course will introduce candidates to the key perception tasks and survey popular computer vision methods for robotic perception in autonomous driving, and dynamic and static object detection. Candidates will acquire the skills to work with the pinhole camera model by the end of this course. Along with them they will detect, explain and fit image characteristics, conduct intrinsic and extrinsic calibration of the camera and build their own convolutional neural networks. For drivable surfaces, estimation candidates can apply these methods to object detection and tracking, visual odometry, and semantic segmentation.

Candidates will build algorithms for the final project in the Visual Perception for Self-Driving Cars training course that defines the limits of the drivable surface and recognise bounding boxes for objects in the scene. On a realistic dataset, students learn to work using synthetic as well as real image data. 

The Visual Perception for Self-Driving Cars online course is part of a self-driving car specialisation programme. It is the third one of a total 4 courses. This specialisation gives a detailed understanding of state-of-the-art engineering approaches used in the self-driving automotive industry. 

Coursera’s Battery State-of-Charge (SOC) Estimation course is the third part of the five-course Algorithms for Battery Management Systems Specialisation. It can also be taken as an academic credit course as ECEA 5732, which is part of the University of Columbia Boulder’s Master of Science in Electrical Engineering degree.

The Battery State-of-Charge (SOC) Estimation online programme trains you about the implementation of various state-of-charge estimation methods. It teaches you how to evaluate their corresponding merits for lithium-ion battery cells. You will be introduced to the sequential-probabilistic-inference solution and the Octave/MATLAB script for linear Kalman filter while also evaluating the results.

The intermediate-level Battery State-of-Charge (SOC) Estimation course by Coursera is offered by the University of Colombia Boulder and the University of Colombia Systems, which are well-known globally for their standard of education. The instructor for this course will be Professor Gregory Plett, who teaches Electrical and Computer engineering. At the end of the Battery State-of-Charge (SOC) Estimation course, you will work on the Capstone project, which will help you apply all the skills you have learned practically.

Model-Based Automotive Systems Engineering is a course on modeling, simulation and design control used automotive engineering systems. Model-Based Automotive Systems Engineering course starts from the basic foundational knowledge of automotive systems moving on to optimization of an automotive system. It imparts theoretical knowledge of the model-based system. It is systematic and applies mathematical methods for addressing design problems.

The methods addressed in Model-Based Automotive Systems Engineering certification will be practical and exercises will play an important part in it. This course is associated with The MicroMasters programme. The candidates will be able to move one step ahead in gaining the MicroMasters credential upon completing this course. It is an instructor-paced course. The candidates will get the chance to apply for a 90% discount coupon. The Model-Based Automotive Systems Engineering course is verified by one of the top institutions, Chalmers University of Technology.

The candidates enrolled through the verified track will be able to earn the Model-Based Automotive Systems Engineering certificate. The certificate will have the institution’s logo. The certificate will also contain the signature of the Model-Based Automotive Systems Engineering course training instructor. This course is specially designed for automotive engineers who wish to further their career growth. This course on edX has 2 tracks namely audit and verified which may be chosen by a candidate for enrolling and learning the course. Both the tracks have a self-paced mode but the audit mode offers no certification and only allows limited access to the course materials for free. The verified track, on the other hand, offers unlimited access to the programme, and offers a certification if the candidates pay some amount.

Why are battery/electric vehicles not as popular as hybrid vehicles? Why do electric cars cost more than conventional or even hybrid ones? Hybrid Vehicles by edX will answer all these questions and many more. Learners with a bachelor’s degree in engineering and practising engineers from the automotive industry can take this course to learn more about hybrid powertrains.

Hybrid Vehicles training will take you through all the various mechanical frameworks of hybrid powertrains and how they affect complexity and performance. It also covers different sizes of powertrains in full, mild, micro hybrids, and plug-in hybrids. There are driving cycle simulations to help you learn how to model and analyze all of these variations.

The Hybrid Vehicles certification syllabus covers Energy Management Systems and how they affect charging, discharging, and hybrid powertrain modes. The Chalmers University of Technology developed this course with support from MathWorks, and for the duration of the training, learners will have free access to MATLAB/Simulink for a limited duration. Candidates can also get the certificate and unlimited access to the self-paced course by paying the course fee. This course is also a part of Chalmers University’s MicroMasters program in Emerging Automotive Technologies.

The Electric and Conventional Vehicles programme is offered by the Chalmers University of Technology and taught by associate professors Anders Grauers and Sven Andersson. MathWorks supports this programme, enabling learners to access MATLAB/Simulink during the course. Candidates will pick up on formulating vehicle performance requirements, sizing powertrain components, and driving cycle simulation.

The Electric and Conventional Vehicles certification syllabus covers the working mechanisms, performance analysis, and energy consumption of various vehicle types. Students will learn about electric and conventional combustion engines for trains through this programme. Topics range from batteries, combustion engines, electric machines, transmissions, and power electronics, which are taught across a span of seven weeks. 

As an associated programme of MicroMasters in Emerging Automotive Technologies, students will gain in-depth knowledge in the field of hybrid vehicles. This advanced course in engineering is set at an instructor’s pace. Additionally, students can opt for the course completion certificate for the Electric and Conventional Vehicles online course by paying a nominal fee. They can also audit the programme free of cost for a limited duration. 

The students in this program will be dealing with the questions related to ethics and risks in the genre of developing new technologies. The course has been divided into three distinctive parts. In the first part, the candidate will be dealing with the ethical questions revolving around the framework of the new evolving technology. 

The students in the online certification program on Responsible Innovation: Ethics, Safety, and Technology by edX will study the unknown risks and safety measures that are included in the new technologies. And will be conducting numerous quantitative and qualitative assessment methods. For the third part of the course, the applicants will deal with new-design and value-driven processes which will also be accounting for the social concerns while developing new technology. The case studies included in the Responsible Innovation: Ethics, Safety, and Technology certification syllabus pertaining to - risks and ethical concerns will be given to the students to solve in the course.  Discussion on- nuclear energy, coronavirus, robots, etc will also be organized during the session.

The aspirants enrolling in A Resilient Future: Science and Technology for Disaster Risk Reduction by edX will learn how science, technology, and innovation can help us save the risk of disaster on a large scale. The course involves citing real-life examples for the aspirants to learn in a comprehensive way.

The candidates will have a wide exposure to putting their ideas from paper to real-world applications. The overall aim of sustainable development has been well brought up during the course. Assignments, quizzes, discussions, and projects help candidates know more and learn in a better way. 

The different challenges have been cleared out for the candidates to come up with innovative ideas in the best possible way. Once the candidates complete the entire course, they shall receive a certification if they enrolled by paying the fee. During the course, the aspirants can ask their queries to the team of experts held responsible for conducting the course. The candidates can also audit the self-paced course for free for a limited duration. 

Mobile phones are the most prevalent and widely-known application of modern, miniaturized systems that are part of our daily lives. Other examples can include computer chips and medical devices that make use of microfabrication and nanofabrication for the manufacturing process. And, these concepts are covered in the Micro and Nanofabrication (MEMS) course by edX.

What’s better than learning through practical examples! This Micro and Nanofabrication (MEMS) online course will take you through the minutest detail of the nano- and microfabrication processes. Video sequences will let you take a closer look at what goes down during these procedures and their equipment. The program curriculum will cover the fundamentals of each fabrication.

The Micro and Nanofabrication (MEMS) by edX is a course of seven weeks. Faculty members of École Polytechnique fédérale de Lausanne will be instructing the course curriculum. You will get to learn in a self-paced manner. In other words, you will have the flexibility of studying at your convenience. Also, the video lectures for this program are in the English language. However, you will have transcripts in English and French. This edX course has a self-directed training model but offers only limited access during the audit track and unlimited access to the course materials when the verified track is selected.

A System View of Communications: From Signals to Packets (Part 1) training has been designed and structured in a way that it will make the understanding of communication mechanisms easy to understand for participants. A System View of Communications: From Signals to Packets (Part 1) certification course is composed of three layers. The course is spanned across a duration of 7 weeks which involves interactive online activities for your better understanding of the subject. A System View of Communications: From Signals to Packets (Part 1) Online course is an introductory level of the course and involves videos and video transcripts in the English language. A System View of Communications: From Signals to Packets (Part 1) certification is an opportunity for all beginners and freshers to get all their concepts cleared in the field. Students can enrol in this programme in two tracks; verified by paying the fee and free audit. In free track, the learners can audit the programme for a limited period of time. 

A geographic information system or GIS is a new technology that helps in creating, analyzing, managing, and mapping all types of data. Because of too many advantages, the software is used by many prominent companies. The data acquisition in the GIS is the process of sampling signals that measure the physical conditions of the real world and convert the resulting samples into digital numeric values that can be manipulated by a computer. GIS Map design is the process of creating a map to represent geographic information. The course of GIS Data Acquisition and Map Design is an initiative by Coursera and the University of Toronto for learners who are keen to learn about GIS. 

GIS Data Acquisition and Map Design training will be given by the experts of the University of Toronto to the students through the online mode. This is a beginner-friendly course that can be completed in 7 weeks. The students shall have flexible deadlines for the course. This course is the second out of the four courses offered by Coursera in the domain of GIS. The candidates will also receive GIS Data Acquisition and Map Design certification by Coursera at the end of the course. 

Also Read: Geographic Information Systems

Materials have always been the cornerstone in a society's development. The Materials Science and Engineering online course aim to teach about various electrical, magnetic, mechanical, and optical properties of materials. Through this course, you will be acquainted with the most recent accomplishments in the field of Materials Science and Engineering.

The Materials Science and Engineering certification syllabus will cover various concepts linked to mechanical, computing, civil, chemical, electrical and bioengineering. You will study how material processing like heat treatment and mechanical working can impact a materials’ performance and properties. This online programme will help you build a strong basis for further engineering education.

Moreover, the Materials Science and Engineering certification course is designed specially to impart self-paced learning, allowing candidates to study comfortably. All video lectures are imparted in English and provide English transcripts as well. While the course is available for auditing through a free enrolment procedure, candidates can also purchase a verified certificate by paying a specified fee.  

The Through Engineers' Eyes: Engineering Mechanics by Experiment, Analysis, and Design Certification Course is a self-guided online course that discusses the techniques and concepts of engineering mechanics. The course will be provided on the Future Learn platform by the faculty of UNSW, a leading Australian university. It is a free online course that deals with the science-based analysis of engineering design.

Through Engineers' Eyes: Engineering Mechanics by Experiment, Analysis and Design Training mode includes adaptive tutorials, analyze videos, experiments, paper and pencil tutorials, and design activities. The course aims at providing learners with a personalised learning experience. After successful completion of all evaluations, learners will receive the Through Engineers' Eyes: Engineering Mechanics by Experiment, Analysis and Design Certification by FutureLearn and UNSW.

The Solar Resource Assessment in Desert Climates certification by Hamad Bin Khalifa University via edX is a 7-week online course. In this online certification course, participants will be exposed to the use of the components of solar radiation and spectrum, forecasting and meteorology to back and plan for implementing photovoltaic (PV) in desert climates. As the heat and dust experienced in the desert areas possess a challenge to the optimal performance of PV modules, the Solar Resource Assessment in Desert Climates online course from Hamad Bin Khalifa University via edX is focused on mitigating these challenges. 

The Solar Resource Assessment in Desert Climates certification course provides learners with an understanding of solar radiation components and the elements of solar cells and the solar spectrum to solve such challenges. It will also teach them about forecasting and now casting while getting them exposed to how this influences selecting a site for PV applications. The Solar Resource Assessment in Desert Climates certification syllabus involves seven modules that will be taught by subject-matter experts. Participants can enrol in the free audit track with limited access or upgrade to the paid verified track directly.

The course The Basics of Transport Phenomena offered by the edX in collaboration with DelftX institution gives an amazing learning opportunity to all the candidates who are interested in gaining knowledge about the concepts of physics and processes connected to it. Students can avail of the course The Basics of Transport Phenomena free of cost. The Basics of Transport Phenomena course curriculum is an introductory-level programme. Participants who are keenly interested in pursuing the course have to spend 7 weeks completing The Basics of Transport Phenomena curriculum. Students have to invest 6-8 hours per week to study in this course. Learners who will learn through 

The Basics of Transport Phenomena course created by the DelftX institution will be able to learn through the self-paced learning mode. The programme is taught by experienced faculty and candidates can access the course contents in 100 per cent online mode only. After completing The Basics of Transport Phenomena course in online mode candidates can achieve verified certification for the programme. Verified certificates are available to all the learners who will pay the fees for the certification to the authorities of the platform. But, if the learners take the course free of cost, they can audit and access it for a limited duration. 

Commuters in the Metros and other large cities face a lot of traffic congestion during their daily trips to their workplace or home. The development of infrastructure through the expansion of roads does not prove to be a long-lasting remedy to curb this urban congestion. This course of Intro to Traffic Flow Modeling and Intelligent Transport Systems focuses on understanding the congestion of the traffic and exploring new ways to improve commuters' transit or mobility through schemes of traffic management.

The course Intro to Traffic Flow Modeling and Intelligent Transport Systems introduces the fundamentals of traffic flow theory while describing different traffic flow models at micro and macro levels. This course introduces network-level aggregation modelling and control approaches based on the concept of Macroscopic Fundamental Design (MFD). The course also teaches advanced schemes for traffic management such as ramp metering, adaptive traffic signal control, variable limits of speed, etc. The course also introduces user equilibrium analysis through the application of the choice of departure and route timings. The course offers related reading material, real data sets, and exercises. The students can audit the programme free of cost and get a limited duration of access. They can also join the course by paying the fee and access it for an unlimited period.  

The robot is one of the most effective inventions by the human mind that can achieve wonders. The technology of robots is recent and it is grabbing the attention of many young minds. Technology is creating many opportunities and offers wide scope in this sector. Introduction to Human-Robot Interaction is the initiative by EdX to make interested learners step into the world of robots, their design, and their work. The course is the initial part of the Human-Robot Interaction professional certificate. Candidates enrolling in this course shall be exposed to the designing and working of robots. They shall also be introduced to the concept of human-robot interaction. 

Human-Robot Interaction professional certificate training will be delivered by the assistant professor of the University of Canterbury. The course will teach the learners about the software and tools utilized in the making and working of robots. This is the introductory course that shall help the students to learn the basic concepts of robot designing, working, and human-robot interaction. The students shall also receive Introduction to Human-Robot Interaction certification by EdX after completion of the course if they have chosen the verified mode to join it. While joining it in the free mode, the learners will have only a limited duration of access to the course materials. 

The Self-Driving Cars with Duckietown programme by edX revolutionises the life of the participants who take up this course as it combines both AI and autonomous movement of the vehicles. This course gives elaborate steps from the start to finish of scaling the self-driving cars. The software and hardware that are used in this car making will be also taught by the tutors of this course from ETHx.

Video lectures and course materials are given to the learners to gain knowledge about the Self-Driving Cars with Duckietown course. To sharpen the knowledge gained, students are given assignments and tests. Discussion forums are also conducted to clear the doubts regarding the syllabus and course content.

The edX offers both audit and verified track. Students can pursue the Self-Driving Cars with Duckietown online course for free of cost or as a paid course. The paid or verified track offers them with a verified certificate which has the signature of the instructors and the logo of the ETH Zurich on the bottom right corner and top right corner of the certificate respectively. They are also given coupons, scholarships, and financial assistance to pursue the Self-Driving Cars with Duckietown certification course.

This particular course on edX has 2 tracks namely audit and verified which may be opted by a candidate for enrolling. Both the tracks have a self-paced mode but the audit track offers 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.

The participating candidates in the Decision-Making for Autonomous System program will be learning about the efficiency of making effective decisions while they are working on- self-driving, autonomous vehicles. A part of the “Emerging Automotive Technologies” this course is targeted at students who hold a bachelor's degree or an engineering degree in the domain of the automotive industry. For comprehensive learning and development, the students will be provided with day-to-day challenges and complex decision-making problems in the Decision-Making for Autonomous System certification. The six-week-long programs will be holding classes for 10-12 hours every week and will be conducted by industry professionals and experts. 

The Decision-Making for Autonomous System will be conducted at an “advanced level” so that students gain the maximum in the program. The Decision-Making for Autonomous System certification syllabus includes- reinforcement learning, Markov decision, event-based methods, and many such topics that tell more about the solving and modelling of autonomous decision-making systems. This is an instructor-led programme and it can be taken by the learners in two different options; verified and free audit. In the first track, the students will get a certificate and unlimited access to the programme and in the free track, they can audit the course for a limited period. 

The need for smart analytics tools in the fields of architecture, construction, and the building industry is increasing as data sources that influence inhabitants' welfare, and the built environment's energy performance are blowing up in numbers. The Data Science for Construction, Architecture, and Engineering online course is developed to annex novel techniques and abilities to complement spreadsheets.

The Data Science for Construction, Architecture, and Engineering course centres on teaching data science skills to practitioners explicitly in the built environment industry. You will be introduced to data science while considering the background of various phases of the building life cycle. You will also gain exposure to several educational paths for a multitude of built environment-related functions.

During the time you spend learning the Data Science for Construction, Architecture, and Engineering digital course concepts, you will utilise substantial data sets from construction and design to study and apply data science methods. There are two modes to take this programme, certificate and free mode. In the free audit mode, the candidates will get access only for a limited duration. 

Future Robots. Towards a Robotic Science of Human Beings training will guide the students in the field of robotics and allow them to explore the rudimentary effects of it in the human world. Future Robots. Towards a Robotic Science of Human Beings by edX will explore the facades of robotics as a new discipline in science that will ultimately lead to a deeper understanding of human intellect and emotions.

The verified course by edX will be diving deep into the simulations that are the reasons behind human emotions and behavioural development. Future Robots. Towards a Robotic Science of Human Beings certification syllabus includes the topics of - mental language, emotion, culture, political life, motivation, families, and others that are directly or indirectly related to human understanding of growth. The programme will use user-friendly interfaces that will help the applicants understand the subject of robotics in a better and more lucid manner. EdX gives two different tracks for enrolling in the self-paced course; verified and audit. The former will give the learners unlimited access and a certificate of completion and the latter provide them with a limited duration of access to the programme. 

There are 2 tracks that Edx offers and candidates can choose only 1 track to complete the course. The names of these tracks are verified as audit tracks. Both these give access to the course materials but the verified track has unlimited access to the course whereas limited access is offered if the verified track is chosen by the candidates.

The Analysis and Modeling of Welding certification course is a 7-week duration programme. The certification course is beneficial for practising engineers, graduate students and prospective researchers to understand welding and its latest trends. This course provides a detailed analysis and modelling techniques that can be applied to different physical phenomena during welding.

The certification course covers a comprehensive curriculum that covers heat sources, fusion welding processes, phase change, zones in weldment, thermal modeling, heat removal, and fluid flow in the weld pool. The Analysis and Modeling of Welding certification by NPTEL helps students understand the developments in welding taking place.  

Also Read: Online Metallurgical Engineering Courses & Certifications

The length of the Robot Development by edX is six weeks. It comes under the field of engineering and uses some psychology theories too. The course is an Università Degli Studi di Napoli Federico II offering, in collaboration with edX. A part of this programme has been developed by Professor Matthew Schlesinger.

Also, the course is of intermediate level and features online delivery. As there are no time-related restrictions, you can learn at your own pace. The Robot Development certification syllabus covers a wide range of topics from principles of developmental robotics, acquisition of cognitive skills, and sensorimotor in robots to its applications.

Furthermore, video transcripts of the Robot Development online course are available. The programme is free to learn, but you can pay the required fee to avail of the shareable certificate. Pupils related to the field of robotics, engineering, or psychology can pursue this training. Also, students in their graduation’s final year or post-graduation in any of the following fields - robotics, computer science, anthropology, psychology, or cognitive sciences are suitable for this programme. edX courses have a self-directed training model that comes with limited access during the audit track and unlimited access to the course materials when the verified track is selected.

AI & Automation for the Enterprise certification is a 6 week 4 module course that is produced by the MIT Schwarzman College of Computing in collaboration with Emeritus. Artificial intelligence (AI) is spreading widely in all areas like customer experience, and hence this course has been designed for professionals who want to create winning success strategies for their business organisations.

AI & Automation for the Enterprise training is a blend of technical and practical considerations teaching about why companies should leverage their autonomy to make their workforces better. With this online certification course, the students will be able to gain insights from the industry leaders of MIT so that they can be aware of the futuristic trends in automation technologies. Finally, the students will be developing awareness regarding the strategies that can be implemented in their organisations for influencing their future work. This certificate will thus help the students create value for the organisations.

Coursera offers the Estimation and Localization for Self-Driving Cars certification course in association with the University of Toronto. The certification course introduces students to different sensors for correctly estimating the state and localization of a self-driving vehicle.

Moreover, by the end of the Estimation and Localization for Self-Driving Cars course, you will learn all about Kalman Filters and Iterative Closest Point algorithm with LIDAR. The certification course will also cover least squares, and how to relate GPS with IMUs. You will be able to build models for typical vehicle localization sensors.

Upon course completion, you will become adept in developing a full vehicle state estimator independently. The course material is comprehensive and features quizzes, as well as projects, to assist you in learning with ease.

Lastly, candidates will undertake a final project to complete the Coursera State Estimation and Localization for Self-Driving Cars course. On successful completion, candidates will receive a certificate from the University of Toronto, sharable on LinkedIn profiles or CV.

Electric Engineering is one of the best course studies to be a part of and it is one that has a definite position in both present and future, offering stable career opportunities for a long time to come. A certificate of this course from a university as prestigious as the University of Colorado Boulder and the University of Colorado System is guaranteed to make many doors and windows open through.

The Equivalent Circuit Cell Model Modulation programme by Coursera has been brought to the candidates with excellent content materials and real world based projects for an intermediate level. It teaches the values, properties, and simulation of each of the components of a lithium Ion cell and hones these skills to perfection.

Not only that, the experience gained here along with the course studied in such great detail will put the candidates at the top bar for Electronic Engineers and give them an early and the very important head start in the competition of today.