Guide: Help yourself out of poverty with this course of 18 Online Engineering Certifications to Advance Your Career.

Help yourself out of poverty with this course of 18 Online Engineering Certifications to Advance Your Career. Completing an engineering certification course can help you learn more about specific topics in your engineering field and …

Guide: Help yourself out of poverty with this course of 18 Online Engineering Certifications to Advance Your Career.

Help yourself out of poverty with this course of 18 Online Engineering Certifications to Advance Your Career. Completing an engineering certification course can help you learn more about specific topics in your engineering field and make you a more appealing candidate. Depending on your engineering field and interests, you could complete many engineering certification courses, many of which are online. In this article, we review 18 online engineering certification courses you can pursue, including the prerequisites and course objectives.

18 online engineering certification courses

Consider these 18 courses in various engineering specialties:

1. Spaceflight Mechanics

This program provides the background knowledge to seek opportunities in the aerospace industry. The platform may also provide a free pre-test to check your eligibility for the program before applying. However, prior knowledge of aerodynamics isn’t required to take this course.

Prerequisites

  • Linear algebra

  • Calculus

  • MATLAB proficiency

Key course objectives

  • Improve your knowledge of the general terminology of fundamental mechanics

  • Understand the techniques required to solve aerodynamic problems

  • Design the theoretical framework of attitude mechanics

  • Learn the fundamentals of how to encode orientation

  • Determine the fundamental components of trajectory tracking hardware

Institution: Cornell University

Time: 16 weeks

2. Robotics: Aerial Robotics

Aerial Robotics is an introduction to flight mechanics and the construction of quadrotor flying robots. It covers the basic concepts of flying robots operating in real-world environments. This course is the first out of a six-course Robotics Specialization program.

Prerequisites

  • Linear algebra

  • Single variable calculus and differential equations

  • MATLAB or Octave

Key course objectives

The course teaches how to use the following tools to configure robots to function in various situations and crisis management:

  • MATLAB

  • Serial Line Internet Protocol (SLIP)

  • A* search algorithm

  • Automated planning and scheduling

  • Particle filter

Institution: University of Pennsylvania

Time: 18 hours

 

3. Electric Cars: Introduction

This course is for those who wish to learn more about electric vehicle technology. The program contains video tutorials, seminars and practice work. These materials are supplemented with actual case studies from several projects.

Prerequisites

  • None

Key course objectives

  • Contribution of EVs in the reduction of carbon dioxide emission

  • Fundamentals of EVs and battery technology

  • Different kinds of EVs and the technology behind them

  • Overview of the EV industry and its prospects

  • Policy objectives and instruments for promoting EV adoption

Institution: Delft University of Technology

Time: 4 weeks

4. Electric Cars: Technology

This course furthers the study on the technology of EVs. It investigates the critical roles of motors and power electronics and emerging developments in the EV market. The course contains recorded lectures, slideshows and assignments that are accompanied by real-world case studies.

Prerequisites

  • None

Key course objectives

  • Performance principle of EVs

  • EV engines and power electronics

  • Smart charging development and infrastructure

  • Wireless charging and solar EVs

  • Battery innovations

Institution: Delft University of Technology

Time: 4 weeks

5. Solar Energy

This course introduces the technology used in converting solar energy into electricity, heat and solar fuels, with an emphasis on electricity production. It also investigates the benefits of various solar cell technologies. This course includes eight- to 12-minute video lessons, assignments and exams. The final grade is determined by assignments and three exams.

Prerequisites

  • Basic understanding of physics

  • Calculus

Key course objectives

  • Learn techniques to transform solar energy into electricity

  • Learn concepts driving photovoltaic conversion in solar cells

  • Identify and explain solar cell technologies

  • Evaluate the efficiency of solar cells and modules

  • Build a comprehensive photovoltaic system for any specific application

Institution: Delft University of Technology

Time: 8 weeks

6. The Mechatronics Revolution: Fundamentals and Core Concepts

This course explains how to employ microcontroller units (MCUs), sensors and actuators to create useful and intriguing robotic devices. In this course, students may acquire real-world experience by creating their mechatronic systems through a series of hands-on laboratories. Students who complete the course gain the knowledge required to design robotic and computer-controlled devices.

Prerequisites

  • Knowledge of basic circuits and components

  • Programming experience in C, MATLAB or Python

  • Mechatronics lab kit: The TI-RSLK-Mechkit

Key course objectives

  • Recognize the components of an MCU and other equipment used in mechatronic devices

  • Use interrupt-driven programming to create simple programs for MCUs

  • Create MCU algorithms that read sensor data and generate suitable actuator commands

  • Utilize actuators, sensors and an MCU command processor to build a mechatronic device

Institution: Georgia Institute of Technology

Time: 16 weeks

7. Model-Based Automotive Systems Engineering

This course offers the background for model-based control design, with a focus on developing mathematical models from physical principles. It explains how to use these models in the design process of automobiles. You may also learn about the mathematical modeling of automotive systems.

Prerequisites

  • Bachelor-level mathematics

Key course objectives

  • Longitudinal, lateral and vertical road vehicle modeling

  • Create mathematical models of dynamical systems

  • Normalize nonlinear continuous-time systems

  • Use sampling to create discrete temporal models

  • Create controllers with discrete time-state feedback

Institution: Chalmers University of Technology

Time: 7 weeks

8. Fluid dynamics simulations using Ansys

The program provides practical experience on how to construct accurate and verified simulations without relying on basic theory. By utilizing the Ansys software, the program focuses on computational fluid dynamics (CFD) problems through 2D and 3D practice simulation.

Prerequisites

  • High school-level calculus, physics and algebra

  • A desktop version of Ansys

Key course objectives

  • Use Ansys Software to develop simulations for various practical flow problems

  • Apply problem-based learning techniques in diverse flow situations

  • Forecast desired outcomes by using hand computations

  • Use a “verification and validation” method to verify simulation findings

  • Demonstrate the theoretical model behind simulations like boundary conditions and governing equations

Institution: Cornell University

Time: 2 weeks

9. Algorithm Design and Analysis

This course is an introduction to algorithm creation and analysis while solving other computational issues. It is a part of the Computer Science Essentials for Software Development Professional program. On finishing the course, students may be able to use advanced data structures to create accurate algorithms.

Prerequisites

  • Discrete mathematics

  • Boolean logic

  • Basic probability

  • Java expertise

Key course objectives

  • Effectively access and visualize data

  • Evaluate the effectiveness of algorithms

  • Add small-input solutions into algorithmic solutions with larger inputs

  • Solve basic optimization issues

  • Determine whether a locally optimum method can give a globally optimal solution to a problem

Institution: University of Pennsylvania

Time: 4 weeks

10. Mathematical Optimization for Engineers

This course helps engineers learn a few of the applications for mathematical and computational principles. For example, the course covers machine learning, operations research, signal and image processing, control, robotics and design.

Prerequisites

  • Linear algebra, vector calculus and differentiation

  • Familiarity with numerical computation

  • Programming experience in Python and Jupyter Notebooks

Key course objectives

  • Optimality criteria that are both mathematical and intuitive

  • Embedded optimization via machine learning

  • Practical training in implementing and solving optimization issues in Python

  • Different optimization formulations

Institution: RWTH Aachen University

Time: 8 weeks

11. Biomaterials and Biofabrication: Design, Engineering and Innovation

This course may be the right fit for you if you’re interested in medical technology and innovation. You may also enroll if you want to learn how to use natural resources to address contemporary issues. The course features immersive tutorials to reinforce learning concepts with engaging situations, illustrations, a companion textbook and in-video quizzes.

Prerequisites

  • None

Key course objectives

  • Basic concepts of biomaterials and medical devices

  • Quality control and clinical trials

  • Fundamentals of tissue engineering

  • Essentials of biofabrication

  • Advances in the biofabrication industry

Institution: University of Bayreuth

Time: 8 weeks

12. The Engineering of Structures Around Us

This introductory course teaches basic engineering principles you can apply to structural systems. These structural systems may range from natural objects to mechanical and aeronautical systems, or any solid item that resists a load. It also explores how structures operate, why they were built the way they were, how they sustain weights and how forces flow within them.

Prerequisites

  • High school algebra and geometry

Key course objectives

  • Reasons behind the designs of natural structures

  • Design structural prototypes

  • Identify structural components, shapes and processes

  • Creativity and innovation behind engineering

Institution: Dartmouth College

Time: 5 weeks

 

13. Road Traffic Safety in Automotive Engineering

The course introduces the basic principles of active and passive safety. It also explores scientific and engineering techniques used in the creation and evaluation of traffic and vehicle safety.

Prerequisites

  • A bachelor’s degree in mechanical engineering encouraged

Key course objectives

  • Basics of future integrated safety systems

  • Physiological and biomechanical reactions of the human body

  • Models for evaluating collision safety

  • Design and performance of sensor concepts in active safety systems

Institution: Chalmers University of Technology

Time: 8 weeks

14. The Art of Structural Engineering: Vaults

This engineering course teaches how to evaluate the different perspectives of vaults. It investigates historic vaults, such as the Pantheon, but it concentrates more on modern vaults erected following the Industrial Revolution.

Prerequisites

  • None

Key course objectives

  • Compute structural efficiency using the proper formulas

  • Analyze structures by structural art merits

  • Cultural and economic impacts on structural design

  • Assess various vaulted shapes

Institution: Princeton University

Time: 6 weeks

 

15. Engineering Leadership

This program is about evaluating leadership qualities and decision-making processes. It contains courses on improving critical communication and influencing abilities. You may also learn how to prepare for personal developments and prosperity in project team management.

Prerequisites

  • None

Key course objectives

  • Supervise engineering and technology teams

  • Use strengths and core beliefs to maximize team efficiency

  • Apply sophisticated techniques in daily interactions

  • Control emotional responses to everyday workplace problems

  • Improve project leadership skills and ability to get executive support

Institution: Cornell University

Time: 2 weeks

16. Introduction to Engineering and Design

This introduction course starts with the fundamental areas of engineering. It also covers the engineering design process, from conceptual design and optimal option assessment to experimentation and project implementation. This course may be a great start for those who want to extend their technical knowledge and apply engineering and design ideas to their current work.

Prerequisites

  • None

Key course objectives

  • Fundamental understanding of the major engineering disciplines

  • Engineering design techniques and applications

  • Develop models that address engineering problems

Institution: Brown University

Time: 3 weeks

17. Materials Science and Engineering

This course exposes you to the diverse characteristics and structures of materials. It helps you build a base for your future studies in engineering and related areas. You may also learn how to evaluate the correlation between the characteristics of metal alloys and nonmetal materials.

Prerequisites

  • Chemistry

  • Physics

Key course objectives

  • Basic materials science principles

  • Information about material science and societal significance

  • Elastic and thermodynamic characteristics of materials

  • Relationship between material mechanics and atomic structure

Institution: MISIS

Time: 7 weeks

18. Robotics: Perception

This course starts with the fundamentals of how light from an image reaches a camera and how it’s reproduced into a 2D picture. It contains 42 short lecture videos, with some basic questions to answer after each module. This is the fourth of a six-course program.

Prerequisites

  • Linear algebra

  • Single variable calculus

  • Differentiation

Key course objectives

  • Learn how media captured by cameras attached to robots are converted into attributes and optical flow

  • Understand camera orientations concerning robotic navigation

  • Application of random sample consensus (RANSAC) in estimating the variables of a mathematical model

  • Extract 3D information from 2D representations

Institution: University of Pennsylvania

Time: 33 hours