1660 Courses and Certifications

Coursera Courses & Certifications 2025

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Engaging in Persuasive and Credible Communication

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Certificate

Engaging in Persuasive and Credible Communication

Every professional workplace needs to be able to communicate persuasively. All forms of communication, from asking a coworker to lend a hand through email to create a presentation for the board of directors, demand strong expertise in persuasion. Effective persuasive communication is required at every step of the hiring process, including persuading the interviewers during the interview and on the resume. Derrick Ng teaches the Engaging in Persuasive and Credible Communication online certification course, which was developed by the National University of Singapore and made available by Coursera.

Engaging in Persuasive and Credible Communication online course is intended for candidates who wish to learn the fundamentals of persuasion in the context of effective professional communication in a globalized society. Engaging in Persuasive and Credible Communication online classes involved 9 hours of thorough lectures that covered a variety of topics, including credibility, persuasion, manipulation, the AIDA framework, globalization, persuasive communication, credible communication, and persuasive writing.

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4 Weeks
Beginner
4,093
Skills Covered:
Communication skills Persuasion
Strengthening your Widening Network

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Certificate

Strengthening Your Widening Network

Professional relationships can be a great resource for unique viewpoints and innovative ideas that will benefit individuals in their job. One of the main advantages of networking is the chance to share challenges, successes, and ambitions, which enables them to learn new perspectives they might not have otherwise considered. The National University of Singapore created the Strengthening Your Widening Network online certification, and Professor Sarah Chong of the Centre for English Language Communication instructs it through Coursera.

The Strengthening Your Widening Network online course is intended for individuals who want to improve their relationships and communication with coworkers and other stakeholders from different cultural backgrounds in a globalized workplace. Strengthening Your Widening Network online classes contains 8 hours of sessions that aim to help individuals master workplace practices and understand the nuances of organizational structure and hierarchy.

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4 Weeks
Intermediate
4,093
Skills Covered:
Networking

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Certificate

Autodesk Fusion 360 Integrated CAD/CAM/CAE

Coursera offers the Autodesk Fusion 360 Integrated CAD/CAM/CAE online course as the second course in the CAD and Digital Manufacturing Specialization. Introducing Fusion 360 as a problem-solving tool, the certification course explores the connection between CAM, CAD, and CAE through a series of exercises on 3D modelling, simulation, rendering, and computer-aided manufacturing. 

Moreover, the Coursera Autodesk Fusion 360 Integrated CAD/CAM/CAE certification course has been designed for those who wish to enter the field of CAD, CAE, or CAM using the Fusion 360 software. Candidates will become familiar with different approaches to sketching and modelling with Fusion 360.

Furthermore, the Coursera Autodesk Fusion 360 Integrated CAD/CAM/CAE programme is a self-paced online learning course that helps students learn with the convenience and comfort of their space. Students will also get a shareable certificate after completing the course by applying for the certificate experience. The certificate also has many other benefits too. 

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4 Weeks
Intermediate
4,085
Skills Covered:
Designing skills
Robotics Perception

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Certificate

Robotics: Perception

The ‘Robotics: Perception’ online course is developed for the students to enhance their knowledge of the process involved in object grasping which is accomplished by the computation of the 3D posing of objects and the robot navigation. This Robotics specialization course is a part of the mechanical engineering domain under physical science and engineering, it is provided for the students on the online education platform Coursera and is offered by the University of Pennsylvania. The course is a self-paced learning program where the students will take approximately thirty three hours to complete the course. 

The intermediate level certification engages the students to familiarize themselves with the concepts of visual odometry and landmark-based localization to understand the process of navigation in robots. The course curriculum is offered with subtitles in French, Portuguese, Russian, English, Spanish for the candidates to experience a better learning process. The ‘Robotics: Perception’ training program by Coursera ensures a certificate for the participants who complete the course.

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4 Weeks
Intermediate
6,634
Skills Covered:
Robotic skills Knowledge of physics Mathematical skill Automation skills Knowledge of engineering

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Certificate

Configuration Management and the Cloud

In the online certification programme on Configuration Management and the Cloud by Coursera, the students will be learning to apply the methodologies and applications of the cloud management system. The process of automation will also be covered in detail in the Configuration Management and the Cloud training. 

The course is hosted in the digital medium and the students over a tenure of 18 hours and will discuss in details the topics of-  Templating a Customized VM, Cloud Scale Deployments, Cloud Infrastructure as Code, Customizing VMs in GCP, Change Management, Getting Alerts When Things Go Wrong, Getting Started with Monitoring, Service-Level Objectives, Identifying Where the Failure Is Coming From, Understanding Limitations, Basic Monitoring in GCP and others. 

The Configuration Management and the Cloud certification syllabus will be taught by the industry professionals. The course has been offered by Google and is being organized by Coursera. The programme is a beginner-level online course.

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4 Weeks
Beginner
3,384
Skills Covered:
Knowledge of cloud computing

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Certificate

Modernize Infrastructure and Applications with Google Cloud

In the course on Infrastructure and Application Modernization with Google Cloud by Coursera, the students will be learning and studying about the importance of Google cloud, in the domain of the new emerging technologies. The course over its tenure will in detail cover the topics of- Hybrid and multi-cloud, Identity and access management, Resource hierarchy and trust boundaries, Security, GCP's core products and solutions, Compute, AI and ML with GCP, Real-world use cases for ML, ML data requirements and others. 

The Infrastructure and Application Modernization with Google Cloud certification syllabus will be describing the key principles which are involved in building an infrastructure that is in sync with the evolving google cloud technology. The course provides students with a deep understanding of both the technical intricacies and its real-world application.

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4 Weeks
Beginner
1,699
Skills Covered:
Knowledge of cloud computing
Certificate

Cloud Computing Foundations

Cloud Computing Foundations certification is a 4 weeks course that belongs to the  Building Cloud Computing Solutions at Scale Specialization course. This has been launched by Coursera and the academic portion has been taken care of by Duke University. With this online certification course, participants will be able to construct an infrastructure of cloud computing that shall include a serverless technology of websites that will involve serverless technology. 

Cloud Computing Foundations training is basically for both beginners and other students who want to learn how they can apply cloud computing to machine learning, data science, and data engineering. With this training course, candidates will also have the leverage of learning how techniques of agile software development can be applied to different projects that will be helpful in developing global-scale cloud infrastructures, and portfolio projects. Along with the above, the course will also provide one agreeable certificate of completion that can be a step towards career growth.

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4 Weeks
Beginner
1,699
Skills Covered:
Knowledge of cloud computing

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Certificate

Essential Google Cloud Infrastructure: Foundation

4 Weeks
Intermediate
4,117
Fundamentals of Scalable Data Science

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Certificate

Fundamentals of Scalable Data Science

The Fundamentals of Scalable Data Science online course is a beginner level programme that will introduce the students to crucial and fundamental topics of data science. The course talks about the concepts of the subject matter such as Apache spark with the usage of Pyspark and Python, its applications, preprocessing of data, and others. Students can get a preview of the programme and the course can be accessed for free for a period of seven days. The Fundamentals of Scalable Data Science training course is also available in the audit mode as well as in subscription mode. 

Students are free to choose the mode of their course according to their requirements. The course is provided in association with IBM. The Fundamentals of Scalable Data Science certification syllabus of the programme needs to be completed in the meantime of 21 hours. This self-paced learning programme by Coursera allows the user to choose their study schedules according to their comfort. Since this is a beginner level programme, the course does not require the user to have any prerequisites for getting into the course. If the student chooses to get a subscription to the Fundamentals of Scalable Data Science classes course, he or she will be eligible to get a certificate for the course at the end upon the completion of the curriculum.

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4 Weeks
Beginner
4,018
Skills Covered:
Statistical skills Knowledge of Python Knowledge of Apache Spark
Certificate

Data Science for Business Innovation

This course will educate candidates on the significance of data science in boosting data-driven innovation in businesses. The Data Science for Business Innovation certification programme has been developed to teach central data science concepts, including machine learning, data communication, big data and data valorisation. 

The Data Science for Business Innovation online course by Coursera also sheds light on Data Science’s tools and techniques, success stories, terminology, use cases and various applications. You will also explore its more technical aspect by learning about semi-supervised, unsupervised and supervised techniques. Furthermore, the distinctions between prescriptive, predictive and descriptive analytics will be discussed.

The Data Science for Business Innovation syllabus covers important topics such as regression, clustering and classification methods. Also, you will study data analysis, pros and cons of different machine learning methods, data needs and practical applicability issues. With the help of this course, you will understand the roles and impact of NoSQL data models and scalable cloud-based computational platforms.

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4 Weeks
Beginner
Skills Covered:
Knowledge of Big Data Machine learning Data science knowledge Knowledge of Artificial Intelligence Business analytics knowledge Decision making skills
Data Science Methodology

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Certificate

Data Science Methodology

The duration of the Data Science Methodology certification course is 6 hours (approximately). The certification programme supports the students to gain a comprehensive knowledge of data science methodology and all other aspects related to it. This course is designed for beginners, allowing students to progress at their own speed and with ease.

The students will gain in-depth knowledge of applying the six stages in the Cross-Industry Process for Data Mining (CRISP-DM) methodology to analyse a case study. The Data Science Methodology certification by Coursera provides Data Science, Data Analysis, CRISP-DM, Methodology, Data Mining skills to the students. They will be able to apply the learned fundamentals in real-world scenarios.

Also Read: Online Data Science With Artificial Intelligence Courses & Certifications

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4 Weeks
Beginner
1,699
Code Free Data Science

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Certificate

Code Free Data Science

4 Weeks
Beginner
Security Governance and Compliance

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Certificate

Security Governance & Compliance

Security Governance & Compliance is a  programme administered jointly  by the University of California, Irvine and Coursera in the online mode. The certification programme belongs to the  Introduction to Cybersecurity & Risk Management Specialization. Security Governance & Compliance Certification Syllabus will render the learners a sheer glance into cyber security in general and security & risk management in particular. 

Offered by Coursera, Security Governance & Compliance Certification Course will also explore the basic concepts of cyber security, security governance design, the NIST cybersecurity framework and many more. Security Governance & Compliance Certification by Coursera is developed by the University of California, Irvine in a self-paced mode that can be completed fully within about 9 hours.

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4 Weeks
1,699
Skills Covered:
Knowledge of Cyber Security
Personnel and Third Party Security

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Certificate

Personnel & Third-Party Security

Personnel & Third-Party Security is an online certificate course on the aspects of cyber security and risk management. The online programme with around 9 hours of completion time can be pursued by the learners at their own convenience and pace. The Personnel & Third-Party Security Certification Course is developed and administered by the Division of Continuing Education of the University of California, Irvine. 

Personnel & Third-Party Security Training will explore security threats, personnel security, third-party security, and other aspects of cyber security and will closely examine the role of personal security in the safeguarding of physical assets, intellectual property, and property of organizations. Plus, the course will help to know closely the third-party security software, third-party security management, third-party cyber security, and the like.  Provided by Coursera, Personnel & Third-Party Security Certification by Coursera is the third and the last programme in the Introduction to Cybersecurity & Risk Management Specialization. 

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4 Weeks
1,699
Skills Covered:
Knowledge of Cyber Security
Healthcare Data Security Privacy and Compliance

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Certificate

Healthcare Data Security, Privacy, and Compliance

Healthcare Data Security, Privacy, and Compliance is developed and offered by Coursera with the aim of providing the learners with a detailed understanding of data security and privacy in the healthcare industry. Healthcare Data Security, Privacy, and Compliance Certification Course is the beginner-level online course in the Healthcare IT Support Specialization offered by Johns Hopkins University. 

Healthcare Data Security, Privacy, and Compliance Certification Syllabus will discuss the different types of healthcare data, various kinds of data sources and data elements used in the healthcare industry and many more. Offered by Coursera, Healthcare Data Security, Privacy, and Compliance Certification by Coursera can be completed within the minimum duration of five hours in the online mode. 

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4 Weeks
Beginner
1,699
Skills Covered:
Knowledge of healthcare sciences
Introduction to Cybersecurity Essentials

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Certificate

Introduction to Cybersecurity Essentials

4 Weeks
Beginner
4,117
Deep Neural Networks with PyTorch

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Certificate

Deep Neural Networks with PyTorch

The Deep Neural Networks with PyTorch certification course will teach candidates, how to use Pytorch to create deep learning models. It is a part of the IBM AI Engineering Professional Certificate. There are a total of 6 courses in that specialisation. The Deep Neural Networks with PyTorch training course is the fourth one of them. Artificial intelligence or AI is revolutionising whole industries by transforming the way businesses exploit knowledge to make decisions across sectors. Organisations need skilled AI engineers who use cutting-edge approaches such as machine learning algorithms and deep learning neural networks to provide their companies with data-driven actionable intelligence in order to remain competitive. This Technical Certificate of 6 courses is designed to equip candidates with the tools which are needed to excel as an Artificial Intelligence or Machine Learning engineer in their career. 

Using programming languages such as Python, candidates will master the basic principles of machine learning and deep learning, which includes supervised and unsupervised learning. Candidates will also obtain a digital badge from IBM acknowledging their proficiency in AI engineering in addition to receiving a Technical Certificate from Coursera.

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4 Weeks
Intermediate
4,085
Skills Covered:
Knowledge of deep learning
Introduction to Trading, Machine Learning and Google Cloud Platform

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New York Institute of Finance, New York , Google Cloud via Coursera
Certificate

Introduction to Trading, Machine Learning & GCP

The Introduction to Trading, Machine Learning & GCP online course is an intermediate level of course. Students can look up the programme on the official website of Coursera. In this programme, students will learn about trading, its features, trends, and aspects related to trading. The course will discuss the different quantitative strategies that are considered for trading and trading structure. 

The course also talks about Google cloud and machine learning aspects in the programme. The Introduction to Trading, Machine Learning & GCP certification syllabus of the program is categorized on a weekly basis and demands four weeks for the program. 

Students are free to set their schedules according to their willingness and the entire program can be completed in 5 hours. Through the assignments and exercises, the students are able to understand every concept properly. At the end of the Introduction to Trading, Machine Learning & GCP certification course, students can also complete the procedure of getting a certificate if they want to be a certified user of the program.

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4 Weeks
Intermediate
3,384
Skills Covered:
Knowledge of Algorithms Machine learning Knowledge of cloud computing
Advanced Machine Learning and Signal Processing

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Certificate

Advanced Machine Learning and Signal Processing

The online program on Advanced Machine Learning and Signal Processing by Coursera is a part of the series of programs that are offered in the domain of “advanced machine learning and signal processing”. The Advanced Machine Learning and Signal Processing training is part of the courses that are offered by IBM on advanced data science specialization. In the course, the frameworks for python using SparkML and Scikit-Learn will be introduced. The Advanced Machine Learning and Signal Processing certification syllabus will be covered on the digital platform within a time frame of 28 hours.

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4 Weeks
Expert
4,018
Skills Covered:
Machine learning
Certificate

Introduction to Biomedical Engineering

The Introduction to Biomedical Engineering Training Course is a 100% online course available on the Coursera platform that focuses on the core aspects of modern biomedical engineering such as the development of human-robotic interfaces and bionic prosthetics. This beginner-level course can be opted by engineering students of all backgrounds.

The Introduction to Biomedical Engineering Live Course will cover all topics beneficial for a modern biomedical engineer. The topics include electronics, control theory, microcontrollers (Arduino), and high-level programming (MATLAB). The course has flexible deadlines that can be scheduled according to the learner's preference.

At the end of the Introduction to Biomedical Engineering Certification Course, learners will receive a shareable certificate of completion. The biomedical sciences course is delivered through online video lectures, readings, and innovative practice exercises. The online course is developed by Peter the Great St. Petersburg Polytechnic University in partnership with the University College London.

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4 Weeks
Beginner
Free
Skills Covered:
Knowledge of biomedical sciences
Certificate

Predictive Analytics and Data Mining

4 Weeks
Intermediate
Free
Teamwork Skills Communicating Effectively in Groups

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Certificate

Teamwork Skills Communicating Effectively in Groups

4 Weeks
Beginner
4,117
Dentistry 101

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Certificate

Dentistry 101

The intriguing and varied field of dentistry is introduced in Dentistry 101 through the viewpoint of its numerous practitioners. Dentistry 101 certification course is taught by Russell Taichman - Associate Dean for Research and Rogerio Castilho - Associate Professor and is created by the University of Michigan, which is offered by Coursera for learners who are considering dentistry as a profession or learners who want to pursue careers in dentistry

Dentistry 101 online course is a self-paced learning program that involves 8 hours of comprehensive lectures that aims to provide learners a thorough overview of the topic of dentistry as well as the process for applying to dental schools. Dentistry 101 online classes provide an understanding of the concepts like periodontics, endodontics, prosthodontics, periodontology, and orthodontics as well as explain the methodologies involved with maxillofacial and oral surgeries.

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4 Weeks
Beginner
2,699
Skills Covered:
Knowledge of anatomy
Embedded Hardware and Operating Systems

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Certificate

Embedded Hardware and Operating Systems

Developed by EIT Digital, the Embedded Hardware and Operating Systems certification course provides in-depth knowledge in cyber-physical systems and their components, namely, the operating systems and hardware. It is 100% online training with an intermediate level of difficulty. You will experience a fun, interactive learning experience, where you’ll work with Cooja simulations for IoTs applications, creating and simulating your designs for sensor network applications. 

Through the extensive Embedded Hardware and Operating Systems certification syllabus, you’ll know how to devise and use an embedded operating system for IoT applications in resource-constrained devices. The curriculum covers output/input devices, ADC/DAC, design challenges, FPGAs, modular kernels, RIOT OS, and numerous other vital topics. You will also receive readings, videos, practice quizzes, graded quizzes, and graded assessments to evaluate your progress.

The Embedded Hardware and Operating Systems by Coursera provides a self-paced learning experience through flexible deadlines. You can also refer to the multi-linguistic course subtitles to study from the videos comfortably. Upon completion, you can also purchase the shareable certificate to display your expertise. 

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4 Weeks
Intermediate
3,384
Skills Covered:
Knowledge of engineering
Introduction to FPGA Design for Embedded Systems

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Certificate

Introduction to FPGA Design for Embedded Systems

In Coursera’s Introduction to FPGA Design for Embedded Systems course, candidates will learn everything there is to know about FPGA, including what FPGA is, how this technology was developed, and how one can choose the best FPGA architecture for a particular application. Further, the course curriculum also covers the development of FPGA with the help of state-of-the-art software tools. And, candidates will learn the use of FPGAs for solving critical digital design problems.

Introduction to FPGA Design for Embedded Systems programme is the first in the 4-part FPGA Design for Embedded Systems Specialisation series offered by the University of Colorado, Boulder. The course can even be pursued for academic credit as ECEA 5360, part of their Master of Science in Electrical Engineering programme.

Students can complete the Introduction to FPGA Design for Embedded Systems online training course in approximately 18 hours, after which they can move onto the other courses in the series. A completion certificate can be purchased after completing this course. The certificate can be uploaded on the Certifications section in their LinkedIn profiles. It can also be attached to their physical CV/resume.  

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4 Weeks
Intermediate
13,514
Skills Covered:
Designing skills
Hardware Description Languages for FPGA Design

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Certificate

Hardware Description Languages for FPGA Design

The Hardware Description Languages for FPGA Design course by Coursera has been conceptualized in a way to enable the learners to get an insight into Hardware Description Languages for Logic Design and work towards their career in that direction. This course will give candidates an extensive introduction of the VHDL and Verilog which are the most widespread design methods for FPGA Design.

Coursera has collaborated with instructors from world-wide universities and companies. The learners will get access to quizzes, online videos, community discussion forums, and practice exercises.

Coursera in collaboration with the University of Colorado Boulder is providing this course. The natural learning process is utilized to make the learning of the languages easy. In the beginning, only simple examples are presented. The course also covers language rules and syntax and followed by more complex examples.

They will develop the skills required to design circuits using VHDL and Verilog and sufficient knowledge to continue gaining expertise in Verilog and VHDL further. This course is a part of the FPGA Design for Embedded Systems Specialization and can be taken for academic credit as ECEA 5361, part of CU Boulder’s Master of Science in Electrical Engineering degree.

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4 Weeks
Intermediate
13,514
Skills Covered:
Designing skills Design thinking
Motors and Motor Control Circuits

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Certificate

Motors and Motor Control Circuits

The Motors and Motor Control Circuits Certification Course is the second out of the fourth course included in the Embedding Sensor and Motors Specialization. The 100% online course available on the Coursera platform will introduce the basic aspects of machine design and analysis of motor equations.

The Motors and Motor Control Circuits Training Course has a flexible structure that allows learners to schedule the deadlines according to their preferences. The course is instructed by Jay Mendelson and James Zweighaft of the University of Colorado Boulder.

After completing the Motors and Motor Control Circuits Live Course through expert lectures, informative readings, practice exercises, projects, and quizzes, learners will be able to receive a shareable course certificate.

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4 Weeks
Intermediate
1,699
Skills Covered:
Knowledge of electronics Knowledge of engineering

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