8 Courses and Certifications

Online Autonomous Flight Courses & Certifications

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Certificate

Post Graduate Program in Autonomous Vehicles

The Autonomous Vehicles online course by Skill Lync covers a step-by-step syllabus to help you understand the complete process of building an autonomous vehicle. The programme is divided into 4 modules, each of which has various projects that will help you apply all the theoretical concepts covered in the module.

The Autonomous Vehicles course syllabus covers autonomous vehicle controls, path planning, trajectory optimisation, computer vision, mapping, and localisation. Upon finishing the course, you’ll receive a completion certificate, which you can attach to your resume/CV/portfolio/LinkedIn. Additionally, if you manage a place in the top 5 of your batch, you’ll receive a merit certificate as well.

Moreover, with the Autonomous Vehicles training course, you also get dedicated career support. The services include career counselling, resume creation, tool test training, mock interviews, and LinkedIn profile creation. By the end of the course, you’ll have enough skills and credentials to land a job in the up-and-coming autonomous vehicles industry.

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10 Months
Beginner
25,000
Skills Covered:
Mechanical knowledge Automation skills Knowledge of engineering

Offered by

Certificate

Flying Car and Autonomous Flight Engineer

A major technological revolution is brewing and the niche associated is that of autonomously propelled vehicles. The next 5 years will see the emergence of flying car engineers at the forefront of this industry. In this program, the students collaborate with the brightest minds of this arena with industry-leading tools and solve groundbreaking problems.

Typically, keeping 15 hours per week of commitment to this program will see you clear it in 4 months time. However, for candidates who would like to build on their fundamentals, there is a preparatory course to bring you up to speed. It is in the form of a Nanodegree program and goes by the name: Introduction to Self-Driving Cars. This program will enable beginners to get accustomed to the technical side of the subjects.

The Flying Car and Autonomous Flight Engineer Nanodegree program prepare the students with essential skills including Planning, Controlling, and Estimating. This is closely followed by writing code for aircraft readiness and can be applied to drones. Thus, if you have a keen interest in unravelling the exciting prospects of drones, flying cars, and smart transportation, this program will be a good fit for you.

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4 Months
22,849
Skills Covered:
Knowledge of engineering

Offered by

Swiss Federal Institute of Technology Zurich via Edx
Certificate

Autonomous Mobile Robots

Technology has rapidly evolved to the point that robots are commonly used in factories as workhorses that perform complex tasks and assist humans in dealing with challenges. However, such robots remain tethered to their work station and cannot move around. The Autonomous Mobile Robots programme deals with mobile robots that can freely move around in their environment. 

To facilitate this movement, robots must possess competencies like perception, localisation, map-building and collision avoiding. This course on Autonomous Mobile Robots by edX delves into these methods that go into the making of a mobile robot. It also covers the basic concepts and algorithms required to develop a mobile robot. 

ETH Zurich, one of the leading institutions for technology, has created the Autonomous Mobile Robots course for learners on edX. The main objectives of this programme are to equip candidates with the knowledge and technical know-how necessary to develop a mobile robot. Moreover, the 15-week online programme is available for free. 

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15 Weeks
Intermediate
Free
Skills Covered:
Knowledge of Algorithms Robotic skills

Offered by

IsraelX via Edx
Certificate

Autonomous robots

The recent invention by human minds of intelligent machines that have the capability to perform tasks on their own without much human control. Autonomous robots are the future of technology and they are widely accepted by humans. Robots are not only saving human time but are also acting as a helping hand for us. The course on Autonomous robots is provided by EdX on their portal for the people who are keen to work in this domain. The course is offered by IsraelX for the learners who want to grab a firm understanding of cutting deep edge tools of autonomous robots. 

Autonomous robots training is delivered by industry experts through self-paced videos. This is an online course of 13 weeks during which the learner must give 2-3 hours per week to complete the course on time. This course shall strengthen the foundational knowledge of autonomous robots. The learner shall also receive Autonomous robots certification by EdX, if he or she has chosen a verified track learning mode, after the completion of the course. 

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13 Weeks
Beginner
Free

Offered by

Chalmers University of Technology, Gothenburg via Edx
Certificate

Decision-Making for Autonomous System

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 modeling of autonomous decision-making systems.

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6 Weeks
Expert
Free
Skills Covered:
Decision making skills Knowledge of MATLAB

Offered by

Technical University of Munich via Edx
Certificate

Autonomous Navigation for Flying Robots

The recent technology of flying robots has been utilized for various applications like mini helicopters or quadrotors. They are widely used in 3D construction and aerial filming of industrial sites. The time calls for the need for machines that run without the supervision of pilots for hours. The Autonomous Navigation for Flying Robots certification course focuses on autonomous navigation for quadrotors. This course is provided by TUM for learners who are keen to learn the concept of autonomous navigation. 

Autonomous Navigation for Flying Robots training will be delivered by industry experts with the help of instructor-paced learning videos, quizzes, and a browser-based quadrotor simulator. The duration of the course is 4 weeks and the learner must give at least 4 hours per week to complete the course on time. The learner shall be trained extensively on the browser-based quadrotor simulator and will be given practical training. The candidate shall also receive Autonomous Navigation for Flying Robots certification by EdX after the completion of the course. 

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4 Weeks
Expert
3,975
Autonomous Navigation

Offered by

Certificate

Autonomous Navigation

The ‘Autonomous Navigation’ online programme is offered by the International School of Engineering (INSOFE) to the students who are interested in learning about the algorithms associated with the mapping and motion planning of autonomous vehicles. The online course is scheduled for the candidates to learn for free through the ten online sessions. The students are expected to spend three to five hours every week apart from the online sessions for the online programme.

The course instructor for this online training is Dr Parag Mantri, who is a principal data scientist and an associate professor at the International School of Engineering. The professional guidance in this course will help the learners gain an understanding of perception, navigation, path planning, technologies for control and algorithms. The candidates will get an opportunity to know about the concepts of software and mathematics that enable autonomous navigation in self-driven vehicles and develop techniques and strategies for the field.

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Skills Covered:
Knowledge of deep learning Machine learning Automation skills Mapping skills Robotic skills Knowledge of Algorithms Mathematical skill Knowledge of engineering Mechanical knowledge Knowledge of Artificial Intelligence

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