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.

A branch of mechanical engineering called mechanics of materials uses numerical simulations to study deformable solids. The property of an element to withstand actions and forces exerted without breaking, lasting deformation, or acquiring degradation is referred to as resistance. Mechanics of Materials IV: Deflections, Buckling, Combined Loading & Failure Theories certification course is designed by the Georgia Institute of Technology and taught by Dr. Wayne Whiteman - PE & Senior Academic Professional, which is made available through Coursera.

Mechanics of Materials IV: Deflections, Buckling, Combined Loading & Failure Theories online classes provides 8 hours of comprehensive lectures that aims to assist the participants in exploring the analysis and design of engineering structures taking into account the factors of combined loading, deflection, buckling, and failure theories. With Mechanics of Materials IV: Deflections, Buckling, Combined Loading & Failure Theories online course, participants will be taught about basic and advanced concepts like differential equations, double integration method, superposition, and singularity functions to study beam structure and mechanics of materials including loading, deflection, buckling, failure and more.

Introduction to Engineering and Design online certification is created by BrownUniversity and taught by Karen Haberstroh - Lecturer, School of Engineering & Associate Director of Engineering Programs, School of Professional Studies at Brown University, which is offered by edX which is aimed at candidates who want to learn the fundamentals of engineering and discover the engineering design approaches, from concept generation and optimized choice assessment,

Introduction to Engineering and Design online training incorporates 3 weeks of comprehensive lectures, which is a great approach for candidates looking to enhance their technical knowledge and apply engineering and design principles to their current employment. Introduction to Engineering and Design online classes also concentrate on specific engineering fields such as biomedical engineering, chemical engineering, civil engineering, electrical engineering, mechanical engineering, and material engineering as well as provide insight into specific design difficulties within their respective engineering disciplines.

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. 

The Mechanics: Motion, Forces, Energy, and Gravity, from Particles to Planets Certification Course is a 100% online beginner-level course that is based on the important aspects of mechanics. The course is suitable for senior secondary students and university freshers who are interested in the domain of physics. The course can be easily accessed on the online learning platform Coursera.

The Mechanics: Motion, Forces, Energy, and Gravity, from Particles to Planets Training is provided by the expert faculty at the UNSW Sydney (The University of New South Wales). The mode of delivery for the course includes videos, reading materials, and practice exercises along with animations, experiments, and practice problems. The course will reward learners with a Mechanics: Motion, Forces, Energy, and Gravity, from Particles to Planets Certification by Coursera after completing all assessments.

The ‘Robotics: Estimation and Learning’ online course is a study about robots with the techniques and strategies involved in determining the surrounding factors during flight and movement. This online program is part of the Robotics specialization of the mechanical engineering domain that is under the physical science and engineering courses. This Robotics course is provided by the online educational platform Coursera and the curriculum is offered by the University of Pennsylvania. This self-paced learning course training is framed to be completed in fifteen hours. 

The course instructor for this online training is Daniel Lee from the Electrical and Systems Engineering department. The students are ensured with the flexibility in deadlines and subtitles offered in languages such as English, Spanish, and Chinese along with the videos and other exercises that add up to an experiential learning process. The ‘Robotics: Estimation and Learning’ by Coursera enables the candidates of the program to receive a shareable certificate for recognition after completion of the course study.

The Robotics: Computational Motion Planning Certification Course is a 100% online course that explores the nuances of robotics including its working mechanism, control systems and motion planning. The course available on the Coursera learning platform has a flexible pattern that allows learners to reset deadlines.

Through the Robotics: Computational Motion Planning Online Course, learners will be introduced to topics like automated planning and scheduling in the field of robotics engineering. The course will be instructed by CJ Taylor, Professor of Computer and Information Science at The University of Pennsylvania.

After completing the Robotics: Computational Motion Planning Live Course, learners will receive a certificate of completion. The course is the second one out of six course constituting the Robotics Specialization Programme.

The Robotics: Mobility Certification Course is a 100% online course that explores the specifications of robotic mobility through the study of robotic motors and sensors. The course available on the Coursera platform is the third out of six in the Robotics Specialization programme. 

Through the Robotics: Mobility Training Course, learners will be introduced to the complex process of robotics design, robotics mobility, and kinematics. They will be instructed by Daniel E. Koditschek, Professor of Electrical and Systems Engineering at The University of Pennsylvania.

After completing the Robotics: Mobility Live Course through expert video lectures, informative readings, graded assignments, quizzes, and exams, learners will receive a certificate of completion. The flexible structure of the course will allow learners to reset the deadlines according to their preferences.

Robots can resemble humans, but are not needed to, and are capable of adopting any appearance and performing any number of tasks. They can be programmed by humans or computers, but they can also have their own Artificial Intelligence software routines that allow them to take in and analyze information and make decisions as if they were living creatures. Some are even capable of learning on their own using machine learning. Building a Future with Robots certification course is developed by the University of Sheffield, will be taught by Sandor Veres, and is delivered by FutureLearn.

Building a Future with Robots online training comprises more than three weeks of comprehensive learning resources and unlimited access to the course for those who want to develop various understandings about how robots will affect many facets of human life in the future, and analyze present and future revelations in the discipline of robotics.  Building a Future with Robots online classes cover topics such as the impact of how robots sense their environment, how robotics is inspired by nature, and how robots will interact with people. Candidates will obtain an understanding of the fundamental challenges of robotic design and illustrate how research is being conducted to address these obstacles and more.