Online Course – Google Certified Professional Internship in Autonomous Vehicle Engineering

Learn to operate in the field of autonomous vehicles! Master the skills to design and manage autonomous transportation systems on land, air, and sea.

Suggested by: Coursera (What is Coursera?)

Professional Certificate

Beginners

No prior knowledge required

Time to complete the course

7-day free trial

No unnecessary risks

Skills you will acquire in the course

  • Big data management
  • Principles of modeling and simulation of mechatronic systems
  • Developing specifications for safe autonomous flight systems
  • Robotics
  • Electric controlled hydraulic actuators
  • Smart devices
  • Practical knowledge of integrated navigation systems and auxiliary navigation systems

What you will learn in the course

Courses for which the course is suitable

  • Autonomous Vehicle Engineer
  • Robotics Engineer
  • Mechatronic systems developer
  • Big Data Analyst
  • Autonomous Flight Systems Engineer
  • Software developer for smart systems
  • Mechanical Engineer with a specialization in autonomous systems
  • Integrated navigation systems specialist
  • Electric Hydraulic Systems Engineer

Internship – 3-course course series

This specialization is designed for students interested in exploring the autonomous vehicle field, which is undergoing significant change in the modern world. It offers an overview of modern electronic and information technologies in the automotive and aerospace fields and provides skills for several industry sectors.

What will you learn?

  • Big data management
  • Principles of modeling and simulation of mechatronic systems
  • Developing specifications for safe autonomous flight systems

Today, planes can fly without a pilot and there are various applications of autonomous systems, for example, delivering pizza directly to your home. Learn how planes can find the right path, detect and avoid obstacles, and turn or accelerate.

Engineering fields

  • Robotics
  • Electric controlled hydraulic actuators
  • Smart devices

Methodical learning project

Case studies and practical examples will allow students to enhance the potential of mechanical systems by transforming them into mechatronic systems based on virtual models.

The use of specific Matlab tools will provide students with practical knowledge of integrated navigation systems and auxiliary navigation systems.

Details of the courses that make up the specialization

A brief tour of big data and business intelligence

Course 1

Duration: 7 hours

Rating: 4.0 (14 ratings)

Course Details

  • Big data management
  • Building an infrastructure for big data
  • Getting value from big data
  • Design an artificial intelligence process

Skills you will acquire

  • Artificial Intelligence (AI)
  • Data preparation
  • Apache Hadoop
  • Data Scientist
  • Big Data Architect

Course 2: Autonomous Aeronautical Systems

Duration: 10 hours

Rating: 4.4 (17 ratings)

Course Details

  • Design and develop efficient driving and guidance solutions for autonomous vehicles

Skills you will acquire

  • Models
  • Business understanding
  • Mechanical Engineering
  • Simulations
  • Virtual models

Course 3: Models and Simulations of Mechanical Systems

Duration: 13 hours

Rating: 4.4 (11 ratings)

Course Details

  • Design a real system
  • Create mathematical models of multi-physics systems
  • Model development in Matlab/Simulnik

Skills you will acquire

  • Control systems
  • Mechanical Systems Analysis and Mechanical Engineering
  • Smart device
  • Virtual model design
  • Vision systems