Online Automobile Engineering Courses & Certifications

The Internal Combustion Engine Analyst programme provided by Skill Lync consists of two courses; Computational Combustion using Python and Cantera and Advanced CFD for Internal Combustion Engine Applications. There will be 2 projects in the first course and 3 projects in the second course. Skill Lync is following project-based learning. Through industry-relevant projects, candidates will be able to become highly qualified professionals.

Candidates will be learning about computational combustion using Python and Cantera in the second course of the Internal Combustion Engine Analyst programme. To simulate chemical kinetics, candidates will understand how combustion is simulated and write computer programmes. By conducting comprehensive calculations, candidates can learn the process of computation of combustion metrics in the form of ignition delay and flame speed. 

Candidates will be learning how to perform 3D simulations of flow and combustion using the CONVERGE CFD programme in the second course of the Internal Combustion Engine Analyst programme. Candidates can learn about the software's implementation, like topics like modelling turbulence, modelling emissions and modelling combustion. For those who want to get into combustion research, this course will be perfect.

The Post Graduate Program in Complete Passenger Car Design & Product Development focuses on providing you with an in-depth understanding of the various passenger car design techniques. The program emphasizes the use of multiple platforms like CATIA V5, NX CAD, SolidWorks, and ALIAS. Practice exercises and industry-grade projects are included to prepare you for the industry. 

The 6-month Master’s Certification in Complete Passenger Car Design and Product Development programme is a comprehensive study in vehicle design techniques best suited for mechanical and automotive engineers. You can adorn your portfolio with a host of highly practical, industry-based projects, to land the most lucrative of jobs in core companies and automotive OEMs.

Moreover, candidates receive a course completion certificate at the end of the Post Graduate Program in Complete Passenger Car Design & Product Development. You can also get a merit certificate if you manage to be in the top 5% of the batch. A learners’ community forum and dedicated job assistance are provided to help you develop your career path.

This Skill Lync HyperMesh for FEA Plastic and Sheet Metal Applications programme is for students who want to work in the CAE domain with a particular focus on the pre-processing stage of Computer-Aided Engineering (CAE). 

The HyperMesh for FEA Plastic and Sheet Metal Applications Course is provided by industry leaders and lasts for three months. During the training, you will learn everything from basic concepts of 1D, 2D, and 3D meshing to creating complex models and executing practicals on your own. By the end of the curriculum, you will be skilled in professional techniques required to become a modeler or mesher in any industry.

Skill Lync HyperMesh for FEA Plastic and Sheet Metal Applications Training curriculum is designed keeping the job industry in mind. You will also get to execute projects during the course, which will solidify your conceptual understanding. It will give you a competitive edge as these projects can be added to your portfolio. Further, the projects are of industry-level with the only difference being that of scale. 

The Intro to Self-Driving Cars by Udacity is the perfect introductory programme to help you get familiarised with the essentials of programming self-driving vehicles. The course curriculum has been carefully crafted by industry experts to help you learn and sharpen the essential skills to work on self-driving cars. The content consists of key concepts such as working with C++ and matrices, implementing Python, performance programming through C++, visualising calculus, computer vision, and machine learning. 

The Intro to Self-Driving Cars course also features real-world projects, crafted by industry experts to help you not only learn the necessary concepts but implement them in real-time as well. The curriculum features immersive content, built around a self-paced module that fits your schedule, allowing you to learn comfortably.  

Moreover, the Intro to Self-Driving Cars Nanodegree programme also provides career support, such as personal career coaches, interview preparations, and technical mentor support to help you clear your doubts easily. Here, you will learn about what goes into programming a car to self-drive, implement those concepts, and get valuable feedback on improvement. You even get guidance to create a strong resume. Upon satisfactory completion, you will receive a graduation certificate as well. 

In the auto and aero industries, crash tests are essential to perform before the final sale of the product as they determine the crashworthiness and withstanding ability of the vehicle. Crashworthiness testing ensures passenger and pedestrian safety as well. Radioss is a multidisciplinary solver which is used in crash analysis. The Skill Lync Crashworthiness Analysis Using HyperMesh and Radioss Course will help you grasp all the core concepts of Radioss and HyperMesh.

In this training on Crashworthiness Analysis Using HyperMesh and Radioss, candidates will learn about crash testing and simulation using HyperMesh and Radioss, how to debug the errors and post-process the final result. The candidates will get a foundational understanding of crashworthiness and concepts of FEA and CAE.

Upon enrolment in the Crashworthiness Analysis Using HyperMesh and Radioss online programme, learners get hands-on experience of various projects and execute different types of meshing, quality checks and fix the errors themselves. After completion, all candidates get a course-end certificate, and the top 5 percent get a certificate of merit as well. Further, the projects performed can be published on your e-profile.

Electric vehicles are the future of transport systems and are soon expected to replace fuel vehicles with their seamless engineering. Candidates passionate about the structural aspects and nuances of the engineering involved in electric vehicles have much to gain from DIYguru's unique offering-Electric Vehicle Certification Course. Prepared in partnership with various e-mobility companies to grant exquisite training to learners within a span of 90 days, the course receives due recognition from companies including Suzuki, Robert Bosch, and Hyundai.

Pursuing this certification would open numerous opportunities for candidates to bring out the best in them in a flexible learning environment. The self-paced programme comes with a 24*7 learning access and can be availed from multiple devices which makes learning convenient and flexible. Besides this, course takers will get access to a plethora of learning tools to help them grasp each concept in a lucid manner.

The aim of the course is to equip learners with multidisciplinary expertise in the current domain and increase their practical exposure to the functioning and tools of electric vehicles via small workshop prototypes. This course follows the practical approach of learning to offer cutting-edge training to its participants.

The Skill Lync Automation using TCL/TK for HyperMesh programme has a well-structured curriculum to help you get fluent in understanding how Hypermesh codes operate for commands and automate a process. This intensive three-month course covers all the critical concepts of HyperMesh, including tools, TCL commands, building GUIs through TK, free edges, collectors, mesh quality, and more. 

The Automation using TCL/TK for HyperMesh course provides a self-paced learning experience and teaches you the best industry practices. The training includes pre-recorded videos, assignments, and practical projects to give you a hands-on experience. Candidates get to work on Altair Hyperworks software, to learn about open-architecture, comprehensive CAE solution, best-in-class analysis, optimisation, and modelling. 

By the end of the course, candidates master the concepts of HyperMesh, Notepad++, and TCL/TK commands. Moreover, the Automation using TCL/TK for HyperMesh online training allows you to build a professional portfolio and an e-verified profile sharable on LinkedIn. Learners also receive a course completion certificate and develop industry-relevant skills from Skill Lync’s project-based learning.

Skill Lync is an online course provider that offers the course of Advanced CFD for IC Engine Applications for candidates who are interested in the field of Computational fluid dynamics. This course focuses especially on the concepts of engine simulations, that is, C.I. Engines and S.I. Engines. The candidates who choose to opt for this course will be made familiar with tools such as CONVERGE STUDIO which has been designed to set up the case for engines. 

When the candidates begin to work with CONVERGE STUDIO, they will learn about the internal functionalities of engines, along with compression, fuel injection, spark ignition, and flame propagation. Also, the feature of automated meshing has been added to CONVERGE STUDIO which acts as an advantage as it saves a lot of time. 

After completing this course, the candidates will be given a certification and they will be able to set up patterns of internal flow, clean up geometry that seems to be complicated, model turbulence as well as gain in-depth knowledge about the concepts of combustion, turbulence, and spray. 

The course allows the applicants to apply the knowledge of thermodynamics that they will learn in theory combustion. In the Fundamentals of Combustion by Swayam emphasis will be given to the basics of- stoichiometry, fuels, equilibrium, chemical kinetics, and mass transfer, and the different types of the combustion process that are there.

In the  Fundamentals of Combustion certification course, the students will be explained the various mathematics processes that are involved in transport processes of a reactive flow, simplifications, and the parameters that affect different types of combustion processes in the real world. The twelve weeks programme will enable the students to grow skills in the genre of- Gas jets and combustion of gaseous fuel jets, governing equations for a reacting flow, flames-Ignition-flame stabilization, droplet evaporation, and combustion.

The programme will thus help the students to develop more skills in the field of thermodynamics and its applied field.

The IC Engines and Gas Turbines certification course will be dealing with the fundamentals and key principles of the gas power cycles. The online programme has been divided into two parts, in the first part of the certification course focus will be given specifically on the topic of- IC engines. 

The programme on  IC Engines and Gas Turbines by Swayam will further be elaborating on the topics and principles of the- thermodynamic cycles and their uses in the different fuels suitable for automobiles and their applications. 

In the second part of the IC Engines and Gas Turbines programme, the emphasis has been given to the topic of- the thermodynamic cycle that will be used in aircraft engines. The IC Engines and Gas Turbines certification will be emphasizing on the components of the aircraft engine. Thus, this training would provide an elaborate understanding of the principles of electricity generation and the mechanisms of its transportation and its application using gas as a working medium.

Showroom Hostess/Host - Auto Dealership (ASC/Q1103) certification course is for all aspiring people who want to be a part of the front office department in the automotive industry. The course is designed to provide the skills and knowledge required in an efficient host/ hostess. This is a 12 weeks course, in which the learner must commit to 1-2 hours per week for effective learning. Showroom Hostess/Host - Auto Dealership (ASC/Q1103) training is provided on the online portal by TCS iON. 

Host/ hostess is the representative or face of the company, the course shall guide the learners on client dealing, sales, and marketing tactics. In addition to this Showroom Hostess/Host - Auto Dealership (ASC/Q1103) course will also help learners in inculcating the qualities required for becoming a good host. The syllabus of the course is created in a way that starts with the introduction to the automotive industry and proceeds with the qualities required for being a good host/hostess. After the completion of the course and securing passing marks of 70%, the candidate shall be awarded Showroom Hostess/Host - Auto Dealership (ASC/Q1103) certification by ASDC and Skills trainer. 

Auto Component Assembly Fitter - ASC/Q3701 (NSQF Level 4) course is for people who want to pursue their career as a component assembly fitter in the automotive industry. This is a strenuous task that requires a lot of expertise and concentration. The course shall inculcate foundational as well as advanced knowledge about the skills required to complete the job. Auto Component Assembly Fitter - ASC/Q3701 (NSQF Level 4) classes are available on the TCS iON portal, learners can avail classes by signing up and paying the subscription fee for the course. 

Auto Component Assembly Fitter - ASC/Q3701 (NSQF Level 4) training is beneficial for the people who have experience as assembly fitter in the automotive industry or the ones who want to explore this field by gaining experience. This is a self-paced online course that gives learners the advantage of choosing a time slot of their own convenience. The classes for the certification course are available in Modules, followed by the assessment at the end and multiple tests during the Modules for self-tracking. On the completion of the course and passing the assessment with a 70% score, the learner will receive Auto Component Assembly Fitter - ASC/Q3701 (NSQF Level 4) certification by Skills Trainer and ASDC jointly. 

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Computational Combustion using Python and Cantera is being imparted by Skill Lync. It has been designed in consultation with industry experts and academicians to give the learners a comprehensive understanding of the various concepts of computational combustion through python and Cantera. Participants will learn about computational combustion which includes simulations and numerical modeling using advanced large‐scale parallel systems and provides a new avenue to evaluate and interpret the variability of acoustic‐flame‐vortex interactions occurring in many combustion systems. It covers basic as well as advanced concepts of computational combustion. The Cantera library can be imported to python, MATLAB, and C++. Python is one of the widely used languages and can handle the operations better than C++ or MATLAB. This course comes under the automotive and mechanical engineering field with CFD as a sub-domain. This course will be beneficial for students and working professionals, having a background in programming and thermodynamics and are keen on gaining knowledge about the functions of engines and combustion modeling.

Coursera Introduction to Self-Driving Cars online course introduces you to the concept of self-driving cars. You will be learning the details about the hardware used in self-driving cars, components of a self-driving software stack, and how to program vehicle control and modelling. You will also analyse the current industry practices and safety structure related to vehicle development.

The Introduction to Self-Driving Cars programme by Coursera is offered in collaboration with the University of Toronto. You will learn to develop the control code that will help in navigating a self-driving car in a racetrack with the CARLA simulation environment as part of your final project. Certain hardware and software specifications are required to be able to run the CARLA simulator, which will be covered in the curriculum.

Furthermore, the Introduction to Self-Driving Cars courses houses several practice exercises, quizzes, graded assignments, and a final project. All these elements will help you learn and master the core concepts covered during the programme and reinforce your learning. Besides, upon successful completion of the course, you become eligible for the award of a course completion certificate by Coursera. 

The course Motion Planning for Self-Driving Cars is the final course among four courses in Self-driving cars specialisation offered by the University of Toronto. The level of the course is advanced and is designed for the learners having a background of robotics and knowledge of controllers and models taught in course 1 of the specialisation.

In the course, the participant will be introduced to major planning related tasks in an autonomous mode of driving along with various other types of planning like behaviour planning, local planning, and mission planning. At the end of the programme, the participant will be able to find the shortest and direct path over a road network or a graph by making the use of A* algorithm and Dijkstra’s. They will be using machines in the finite state for selection of smooth paths, optimal designs, and identification of velocity profiles required for the navigation around the obstacles with safety and in accordance to the traffic rules. The participants will also get a chance to develop occupancy grid maps for the static objects prevailing in the environment and use them to check efficient collision.

The course will provide the opportunity to develop a complete self-driving planning solution that will provide a contemporary driving experience as well as safety while taking an individual from home to work. As a part of the final project, the candidate will be implementing the planner of hierarchical motion by navigating through the sequence of scenarios in the CARLA simulator, safe navigation during intersection, and avoiding the already parked vehicles in the lane.

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. 

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.

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. 

The Introduction to Battery-Management Systems programme by Coursera is the first course in Algorithms for Battery Management Systems Specialization. This Specialization comprises five courses devoted to requirements and understanding of the Battery Management systems. This course takes approximately 24 hours to finish, and the teaching medium is English.

The University of Colorado Boulder and the University of Colorado System jointly offer the Introduction to Battery-Management Systems online course. The course instructor is Professor Gregory Plett, who is a faculty in the University's Department of Electrical and Computer Engineering. The concepts are explained clearly with a unique teaching style, making the subject more compelling.

Furthermore, the Introduction to Battery-Management Systems programme starts from a basic level and progresses to develop a deep understanding of lithium-ion cells and battery management systems. The certification course has a broad curriculum spread over five weeks of lectures and activities. Students are awarded a certificate when they successfully complete the course.

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.

The BMS - Battery Management System Certification Course is being imparted by DIYguru to provide the students/professionals with a detailed understanding of the battery management systems. The growth of the battery management system market is expected to rise due to the growing trend of electric vehicles, the need for effective electric grid management and the increased requirement of battery monitoring in renewable energy systems. This will lead to an increase in the demand for professionals having knowledge about battery management systems. This course aims to train the participants in the future. 

Participants of this course will learn about the working and explore the individual components that a battery management system consists of. They will understand the architecture of the battery management system (BMS), the major functional blocks, the importance of each block for the battery management system and the factors that affect the battery performance and require protection schemes. They will be trained in the various functionalities of the battery management system making them proficient in battery technology.