Online Engineering And Architecture Courses & Certifications

The Robotics: Capstone Online Course is the 6th course in the 7 course series of Robotics Specialization provided on the Coursera website. In the specialization programme, candidates will get an opportunity to find practical solutions for real-world problems using the techniques learned throughout the course. 

The Robotics: Capstone Certification Course is conducted by the University of Pennsylvania under the guidance of Sid Deliwala belonging to the Department of Electrical and Systems Engineering. The open online course will equip learners with mathematics and programming skills and methods used by researchers in robotics engineering labs. 

The Robotics: Capstone Training Course can be scheduled according to the preferred timelines of learners. The 100% online course is only open to learners who have completed the first 5 courses of the Robotics Specialization. The course will be taught with the help of video lectures and academic readings, and earn a digital shareable certificate at the end.

The Robotics: Aerial Robotics Certification Course is the first out of six of the Robotics Specialization Programme offered by the faculty of the University of Pennsylvania. The course provides a detailed introduction to the mechanics of flight, the working of quadrotor flying robots and the robotics engineering mechanism that supports other micro aerial vehicles.

The Robotics: Aerial Robotics Online Course will provide a window towards different dynamic models, device controllers, and planners operating in three dimensional environments. Through this 100% online course, learners will be able to witness real world examples from the immensely growing drone industry along with its practical applications.

The Robotics: Aerial Robotics Training Course is taught by Prof. Vijay Kumar, Professor of Mechanical Engineering and Applied Mechanics of the University of Pennsylvania. The course would require learners to have some mathematics knowledge in linear algebra, single variable calculus, and differential equations along with basic programming experience with MATLAB or Octave.

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.

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 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.

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.

Arduino Boards can detect inputs like a touch on a button, sensor light, and transform them into outputs like powering a motor, switching on an LED, or broadcasting something on the internet. Arduino has developed as the centre of hundreds of projects in the past, starting from basic domestic devices to complex scientific equipment. The Ivrea Interaction Design Institute developed Arduino as a basic tool for quick prototyping. Arduino online certification is presented by the Millionlights program that intends to provide considerable value to teaching and learning methodologies through digital courses.

Arduino online course teaches individuals the principles of programming and interfacing to the Arduino Board. The program begins with the fundamentals, such as introducing Arduino Boards and how to use them. Arduino online training will help individuals create small programs that include applications such as traffic signal lights. The course contains 15 hours of HD video lectures, as well as exams at the end of each session to assess the individuals' understanding.

Drones for Agriculture: Prepare and Design Your Drone (UAV) Mission certification course is created by WageningenX and taught by Dr Ir. Lammert Kooistra - Associate Professor in Geo-Information Science & Remote Sensing at Wageningen University & Research and Dr João Valente - Assistant Professor in UAVs, Robotics & AI at the Information Technology Group Wageningen University & Research at Wageningen University & Research, which is presented by edX.

Drones for Agriculture: Prepare and Design Your Drone (UAV) Mission online course is intended for agricultural professionals, multidisciplinary technical investigators, and learners who want to master how to utilize a small, commercially available drone to capture high-resolution images of agricultural fields. With Drones for Agriculture: Prepare and Design Your Drone (UAV) Mission online training, learners will also be taught about topics like several drone laws, flight planning, mission planning, data collection, and data visualization as well as will be produced with an understanding of the aerial mapping and how to implement it in a programmable small drone. EdX provides two varied options to enrol in the self-paced programme; verified and audit-free. In the verified mode, the students can access the course materials for an unlimited duration and in the free mode, they can audit it only for a limited period. 

Sustainable development is economic development that is environmentally sustainable and socially inclusive. Coursera offers a course in The Age of Sustainable Development in collaboration with Columbia University. Students will learn about what sustainable development means, how to achieve it and what challenges it faces.

The Age of Sustainable Development training will provide you with the skills to comprehend and perform energy, sustainable energy, environmental protection, and urban planning. Jeffrey D Sachs who is a world-renowned economics professor, UN advisor, champion in sustainable development, and an esteemed professor of Columbia University will be your instructor.

The Coursera Age of Sustainable Development programme consists of pre-recorded video lectures. Each video is anywhere between 10 minutes and 30 minutes long. A quiz marks the end of each module, and its duration is 30 minutes. The programme is 100% online, which enables students to learn at their schedule and convenience.  Students will require approximately 30 hours to complete this course, and at the end of it, they will have to appear for a final exam.

Coursera’s Imagining Other Earths course, is a comprehensive, 3-week training that delves deep into the astronomical, physical, and biological aspects of human life, and tackles the much-pondered question, are we alone? This programme will enable you to create entire universes through the medium of thought experiment. 

Moreover, the curriculum also features lessons on the various other planets of the solar system, their atmospheric characteristics, and their thermodynamics. The Imagining Other Earths programme comes with flexible deadlines, which can be reset according to your schedule and preferences. The course is also 100% online and takes approximately 25 hours to complete.

Apart from the usual high-quality video lectures, the Imagining Other Earths training by Coursera also includes interviews with astronomy experts, to provide you with extensive insights about the astronomical research experience. There are also a ton of practice tests to help you solidify the knowledge garnered every week. Since the programme is free of cost, no course completion certificate is provided. If you’ve completed the course, the Coursera accomplishment page will display the details regarding the programme completion.

Automobile designing and its development prosper with the passage of time. The presently available vehicles are culminated by several departments joining hands together. Hybrid Electric Vehicles are powered by an electrical motor propulsion system and internal combustion engine. It is clear that hybrid electric vehicles will be playing an important role in the future as an immediate improvement of conventional technologies.

The syllabus of the Introduction to HEV using MATLAB & Simulink programme is based on the technical foundations of electrical machines, control theory and power electronics. There is a brief overview of the theories and initiates towards simulating vehicle power systems. MATLAB simulation platform is used for the programme because it is very commonly recognised by designers and manufacturers. Many automotive and electrical powertrain R&D organisations using methods and techniques are set out in this programme. 

After completing the Introduction to HEV using MATLAB & Simulink programme, candidates will be developing their knowledge of the study. As a mechanical or automotive engineer, candidates will be enhancing themselves by acquiring the latest knowledge in the particular field which will be a benefit in their career.

The RISC-V VLSI Implementation Flow: RTL2GDS by PDPM IIITDM Jabalpur helps you learn about characterisation and simulations for libraries. You will explore design fundamentals along with its architecture, circuit, and system level.

Besides, the RISC-V VLSI Implementation Flow course syllabus focuses on constraints and synthesis by taking you through complex SoC constraints and input-output constraints. Here, you use hands-on tutorials in the open-source tool flow to learn all aspects of RISC-V implementation.

Moreover, you will get a glimpse of general files and lib files needed in complete flow through the input-output files module. The RISC-V VLSI Implementation Flow certification course includes floorplanning, layer and power planning, delay calculations and system implications. Experts will also teach you placement basics and settings, setup and hold discussions, and DRC LVS and extraction.

The RISC-V VLSI Implementation Flow certificate programme is being offered digitally, and the curriculum is spread across 15 days. You learn via live web conferencing, case studies, quizzes, tests, problem-solving sessions, theory lectures, design orientation, practical training, assignments, and activity-linked problems.

The Particle Dynamics Course covers concepts of particle dynamics, which is one of the most fundamental subjects covered under Mechanical Engineering. You will be able to organize your knowledge about various concepts such as force, motion, work, energy, impulse, and momentum, among others. Newton's 2nd Law of motion and its integration over time and displacement are also part of the curriculum. 

The Coursera Particle Dynamics Online Programme is the first of the two-part Engineering Dynamics module, the second part being Rigid Body Dynamics. It consists of pre-recorded video lectures that are each about 15 minutes long. These video lectures include problem-solving exercises. 

The Particle Dynamics Course is an intermediate-level programme offered by the KAIST ( Korea Advanced Institute of Science and Technology ). You will require approximately 14 hours to complete this course. Besides, you also have to appear for a final exam. You can also purchase a certification experience of the course. This certificate will add tremendous value to your resume.

The Application in Engineering Mechanics Online Course is a specialized course provided on the Coursera platform dealing with the applications of the concepts in engineering mechanics. The learners of this certificate course should have knowledge of the course contents in “Introduction to Engineering Mechanics” in order to understand this course. The course is available in a flexible mode that allows learners to choose their preferred schedule.

The Applications in Engineering Mechanics Training is instructed by Wayne Whiteman, PE, a Senior Academic Professional at the Woodruff School of Mechanical Engineering. After completing all course content through videos, reading materials, and practice quizzes, learners will be assessed. The Applications in Engineering Mechanics Certification by Coursera will be provided to learners who complete the course successfully.

The Mechanics of Materials I: Fundamentals of Stress & Strain and Axial Loading Certification Course is a 100% online course that discusses the mechanics of materials with a special focus on solid objects that are subjected to stress. The course is available on the Coursera platform and is instructed by Wayne Whiteman, a senior academic professional in the Woodruff School of Mechanical Engineering. 

The Mechanics of Materials I: Fundamentals of Stress & Strain and Axial Loading Training will be provided in a flexible manner wherein the candidates reset deadlines according to their preference. Once the course lessons are completed and the assessments are fulfilled, learners will get the Mechanics of Materials I: Fundamentals of Stress & Strain and Axial Loading Certification by Coursera.

Nanosensors are mechanical or chemical instruments that can be used to measure physical conditions such as temperature or to indicate the existence of different molecules and nanoparticles. They are used in other chemicals, food and water quality detection, and standard medical applications. Nanotechnology and Nanosensors, Part 2 certification course is designed by Technion - Israel Institute of Technology and taught by Prof. Hossam Haick - Head of the Laboratory for Nanomaterial-Based Devices & Volatile Biomarkers, which is delivered by Coursera.

Nanotechnology and Nanosensors, Part 2 online training is a self-paced program that involved 2 weeks of video-based learning materials available to assist individuals to gain a basic understanding of the principles underlying nanotechnology and nanomaterials, as well as their critical role in innovative sensing applications and characteristics. Nanotechnology and Nanosensors, Part 2 online classes, provide interesting multidisciplinary technological and scientific data at the nanoscale to comprehend the fundamental physical characteristics of the nanosensors and clarify how they might be utilized for modern innovations.

All facets of daily existence are significantly impacted by the oil and gas business. Depending on the value, consumption, and abundance of these two natural resources, individuals, enterprises, and government bodies make regulatory and monetary decisions. Participants who want a fundamental understanding of the oil and gas industry, along with its marketing and operations, can take the Oil & Gas Industry Operations and Markets online certification, developed by Duke University and taught by Lincoln Pratson, the Gendell Professor of Energy & Environment, through Coursera.

Oil & Gas Industry Operations and Markets online course 7 hours of video-based resources which provides an overview of the production of oil and gas, from initial discovery to ultimate transportation. With Oil & Gas Industry Operations and Markets online classes discuss a range of concepts and strategies associated with the oil and gas industry including production, refining, crude oil distillation, directional distillation, natural gas processing, hydrocarbon system, oil recovery, reservoir rock, transportation, demand, supply, pricing elasticity, cost, revenue sharing and more. 

VLSI chip is a modern and complex chip that is often called a remarkable beast. It packs a billion transistors, logic gates employed in millions to compute and control, huge memory blocks, a third party worked, pre-designed functions that come in blocks (IP blocks or Intellectual Property blocks) embedded in the chip. How can you actually design this chip? The sequence of CAD tools that use abstract descriptions provided for the chip which are refined meticulously in steps to come up with a final design. 

This course is a second part of the VLSI CAD course called the certification course on VLSI CAD Part II: Layout. The course focuses on the important tools that are used for designing and creating an ASIC (Application Specific Integrated Circuit) or an SoC design process (System of Chip). The main target of this course is to help candidates develop an understanding and better knowledge of the key geometrical and logical representations that make it feasible to map from the logic part to layout and particularly to route, place, to evaluate the perfect timing of the large logic networks. 

The VLSI CAD Part II: Layout certificate programme goal is that candidates should be able to utilize and understand the working of tools right at the basic level of its fundamental logic and algorithms and the supporting data structures. The Course is well-curated to include ASIC routing and placement, technology mapping, Analysis of timing involved, etc

In the present age of technology, where the world is moving at a very fast pace, the advances in technology with the help of robotics seem to have never-ending horizons if taken up as a career. The course is for people who are inquisitive about robots and are willing to take-up robotics as a career. It is for someone who is intending to put efforts in order to learn the basics of mathematical modelling techniques that are applied in all subsidiary fields of robotics.

The course Modern Robotics, Course1: Foundations of Robot Motion is a part of specialisation- Modern Robotics: Mechanics, planning, and control that consist of six short courses that prepare the student for taking up advanced study in robotics or pursue robotics as a profession.

In the course 1-Foundation of Robot motion, the participant will learn about the basic material required for the robot configuration in robots with closed chains and in robots with serial mechanisms.

The participant will be building a library having a collection of robotics software in various languages like MATLAB, Python, and Mathematica, etc. They will also be making the use of robotic simulator V-REP on the cross-platform, which will assist them to create DIY (Do it yourself) robots at their home with no cost or investment involved.