1661 Courses and Certifications

Coursera Courses & Certifications 2025

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A Crash Course in Causality Inferring Causal Effects from Observational Data

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Certificate

A Crash Course in Causality Inferring Causal Effects from Observational Data

The course of inferring causal effects from the observational data offered by the platform of Coursera is free of cost course. The enrolled candidate can get a certificate for this course after paying a fixed amount according to the guidelines of the Coursera platform. The duration for this course is 5 weeks. This course is taught under the guidance of experts from the University of Pennsylvania. The E-certificate is available after the completion of this course.

The enrolled candidates will be provided with all the quizzes, assignments, video lectures, web links for books and references. As this course is free of cost and online, it is easily accessible for all the sections of society. Financial aid is also provided. The course of inferring causal effects from the observational data is highly recommended for all the students, teachers and researchers who are interested in this field. Financial aid is also available for all learners who cannot afford the fee. Total 33 percent of people started a new career after completing this course and 29 percent of them got career benefits after pursuing this course.

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5 Weeks
Intermediate
Free
Skills Covered:
Statistical skills
Certificate

Data Science Math Skills

Data Science Math Skills certification is a 13 hours online course that is divided into 5 weeks and is an offering of Coursera along with Duke University. This course is very useful for those who want to keep on learning the basics of mathematics irrespective of whether they have learnt pre-calculus or algebra. Learning math skills through both androids, and apple devices will create the basis for successful data science.

Data Science Math Skills training forms the introduction for core math skills that data science requires, without any extra complexity, by introducing math symbols, and unfamiliar ideas one at a time. Besides this being a beginner course, this certification can act as a prerequisite for the “Mastering Data Analysis in Excel” course. Anyone who has successfully completed this gets to understand advanced concepts of maths like problem-solving along with certificates that are shareable.

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5 Weeks
Beginner
Free
Skills Covered:
Mathematical skill Data science knowledge
Introduction to Graph Theory

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Certificate

Introduction to Graph Theory

Taking the Introduction to Graph Theory certification course will provide you with useful insights into how engineers design integrated circuits and how GPS systems find shortest routes. You will also learn why a political map can only be coloured using a few colours and how biologists assemble genomes. The course curriculum includes the Ramsey Theory, which proves that complete disorder is impossible in an extensive system.

Additionally, the curriculum for the Introduction to Graph Theory certification course will cover a wide variety of graphs, including Airlines Graphs, Directed Graphs, Bipartite Graphs, and more. You will become adept in applying various algorithms to solve real-world problems via practice exercises and hands-on projects. 

Moreover, National Research University Higher School of Economics and the University of California and San Diego are offering the Introduction to Graph Theory programme jointly. As a result, candidates will be able to find better career opportunities upon course completion. 

The Introduction to Graph Theory online course is highly suitable for professionals working in the IT sector and IT aspirants.

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5 Weeks
Beginner
13,514
Skills Covered:
Mathematical skill
Machine Design Part I

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Certificate

Machine Design Part I

5 Weeks
Intermediate
Approaching Music Theory Melodic Forms and Simple Harmony

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Certificate

Design of bulk nanostructured metal materials

5 Weeks
Intermediate
2,182
Fundamentals of Electron and Ion Microscopy

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Certificate

Fundamentals of electron and ion microscopy

5 Weeks
Intermediate
Free
Certificate

Introduction to Integrative Nursing

Introduction to Integrative Nursing Certification is designed for present nurses as well as for aspiring nurse candidates who are drawn to practice in a different way than usual ones – nurses who value whole-person care and know that the essence of nursing practice is truly caring and healing the patient. 

Introduction to Integrative Nursing Training helps the candidates learn about the principles and practices of Integrative Nursing and how you can be a healing presence to all the future patients that you serve. You will also do an integrative assessment on your own and apply the principles of Integrative Nursing to improve symptom management and overall patient outcomes. Ultimately, you will become a leader in Integrative Nursing with practice and later on create your own individual new patient care models.

All students get Introduction to Integrative Nursing certification by Coursera which is provided by the University of Minnesota.

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5 Weeks
Beginner
4,117

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Certificate

Elastic Google cloud infrastructure: scaling and automation

The Elastic Google cloud infrastructure: Scaling and automation course by Coursera has been designed for computer enthusiasts who wish to know more about the comprehensive infrastructure of Google Cloud, along with its many platform services. The course is meant for those who are familiar with the fundamentals of Cloud and wish to learn further. 

The Coursera Elastic Google cloud infrastructure course explores and uses solution elements, that also include load balancing, securely interconnecting networks, infrastructure automation, auto-scaling and managed services. It dives deep into these processes to give a holistic experience about Google cloud and its various elements. 

Furthermore, the Coursera Elastic Google cloud infrastructure: Scaling and automation programme is an online, self-paced learning course allowing students to set convenient deadlines and learn at their speed. You will be learning through a combination of video lectures, demos, and hands-on lab experience to become skilled in the services and performance of Google Cloud.

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5 Weeks
Intermediate
4,115
Skills Covered:
Knowledge of cloud computing

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Certificate

API Design and Fundamentals of Google Cloud's Apigee API Platform

Application Programming Interface (API) can ensure a faster code. Thus, it is necessary to have consistently designed APIs. This course named, “API Design and Fundamentals of Google Cloud’s Apigee API Platform” is the first one from the three-course series, and is thus an important foundation. 

The API Design and Fundamentals of Google Cloud’s Apigee API Platform course of Coursera introduces you to API Design and the fundamentals of the Apigee platform. The second course is aimed at API security. The third and the last one focuses on the additional API developmental topics. 

Here you will be taught how to design APIs and the best ways you can utilize OpenAPI specifications to document them. You will learn about the aspects of the API lifecycle, and understand how the Apigee API platform assists you in managing all the facets of the life cycle. You will also learn how the APIs can be designed by using API provides and how APIs are encased as products that can be further used by app developers.

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5 Weeks
Beginner
3,275
Skills Covered:
Knowledge of cloud computing

Offered by

Certificate

Exploring Data Transformation with Google Cloud

5 Weeks
Beginner
3,277
How to Win a Data Science Competition Learn from Top Kagglers

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Certificate

How to Win a Data Science Competition: Learn from Top Kagglers

The How to Win a Data Science Competition: Learn from Top Kagglers online course is a part of Coursera’s Advanced Machine Learning Specialisation. It is a course in the Data Analysis domain and undertaking this course will help you push your limits, and boost your career in data science

The Coursera How to Win a Data Science Competition Course is not a basic machine learning programme. It trains you to get a head-up on your competitors and get high-rank solutions. It gives you a better understanding of practical applications of machine learning methods. 

How to Win a Data Science Competition: Learn from Top Kagglers certification course has a plethora of expert professors and research data scientists who will teach you for the duration of this course. It is offered by the National Research University Higher School of Economics which is one of the top research universities in Russia. You will earn a shareable certificate upon completion, and you can share your skills in data science. 

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5 Weeks
Expert
3,686
Skills Covered:
Predictive Modeling knowledge

Offered by

Swiss Federal Institute of Technology Lausanne , Databricks via Coursera
Certificate

Applied Data Science for Data Analysts

Applied Data Science for Data Analysts is an online Databricks-offered programme designed for intermediate-level learners. The online certification is the final course in the three-course Data Science with Databricks for Data Analysts Specialization. Thus, to be eligible for taking the online programme, the learners must have completed the first two courses in the specialization. Applied Data Science for Data Analysts Certification Course, provided jointly by Coursera and Databricks, will help the learners to enrich their data science, and applied data science with python and machine learning skills and help the student to become masters of applied data science. 

The learners passionate about learning about apple data science can enrol and complete the Applied Data Science for Data Analysts Training within approximately 16 hours. As the Applied Data Science for Data Analysts Certification by Coursera is completely offered in the online mode, the candidates can opt for the programme at their convenience and pace from anywhere. 

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5 Weeks
Intermediate
4,091
Skills Covered:
Machine learning Data science knowledge
Applied Data Science Capstone

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Certificate

Applied Data Science Capstone

The Applied Data Science Capstone course is a great course to understand the working life of a data scientist through hands-on and practical training. You will be exposed to a host of processes and applications such as learning about location data and data providers like Foursquare and making RESTful API calls to retrieve data from Foursquare API. 

If you do not have access to readily available data, the Applied Data Science Capstone online course will teach you how to scrape web data and parse HTML code. You will be able to refine your exploring and data analysing skills using Python and its panda libraries. Finally, to communicate your results and findings, you will use the Folium library and access maps of geospatial data.  

Applied Data Science Capstone certification can be audited for free. The course is offered by IBM and will be taught by Alex Aklson. The course also provides certification and financial support if you cannot pay the programme fee. 

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5 Weeks
Intermediate
4,115
Skills Covered:
Data science knowledge Knowledge of Python
Cyber Threats and Attack Vectors

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Certificate

Cyber Threats and Attack Vectors

The Cyber Threats and Attack Vectors online course is developed by the University of Colorado and is offered by the online course provider Coursera. The course is a part of the Cybersecurity for business specialization which the candidate can finish in approximately twelve hours. The course educator for the Cyber Threats and Attack Vectors online programme is Greg Williams who is a lecturer in the department of computer science.

The Cyber Threats and Attack Vectors certification by Coursera helps the students in developing awareness of the potential threats to the security of the computer systems. It is common for hackers to get access to our data systems hence is it necessary to keep our business and data systems secure. The Cyber Threats and Attack Vectors online training which includes innovative lectures, videos, readings and quizzes which deal with the concepts of cybersecurity, network and system hacks, cloud security and data breaches will provide insights on how to stay alert and keep our systems away from threats.

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5 Weeks
Beginner
4,115
Skills Covered:
Knowledge of Cyber Security Knowledge of IT industry Knowledge of Hacking concepts Knowledge of cloud computing
Introduction to Cybersecurity for Business

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Certificate

Introduction to Cybersecurity for Business

The Introduction to Cybersecurity for Business certification course is offered under the Cybersecurity for Business Specialization by the University of Colorado in collaboration with Coursera. This course is ideal for providing knowledge about computer security, its working, and its practice in different kinds of businesses. With this knowledge, the participants can secure their business networks by securing network breaches. The online course is intended for providing a practical introduction to computer security.

The course has a duration of 5 weeks, where a student will learn about computer security, CIA triad, risk in business and how to assess them, practical application of daily security and how to assess. The Introduction to Cybersecurity online course will consist of a set of videos for every topic, over 8 quizzes. Students will be provided reading material for the topics covered in the Introduction to Cybersecurity for Business course. The course will be instructed by Greg Williams, lecturer, Department of Computer Science, the University of Colorado.

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5 Weeks
Beginner
4,115
Skills Covered:
Knowledge of Cyber Security Risk Management

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Erasmus University, Rotterdam via Coursera
Certificate

Cybersecurity in Healthcare Programme

The Cybersecurity in Healthcare Online course will teach us about the opportunities and how digitalisation in healthcare sector services has created challenges. How the growth of medical data has become a prime target of cybercrime. The Cybersecurity in Healthcare Training will help raise awareness about the role of cybersecurity in the healthcare sector. 

The Cybersecurity in Healthcare Certification by Coursera will be held for 5 weeks and will be instructed by the associate professor of Erasmus University Rotterdam, Jason H. Pridmon and Tessa A.P. Oomen Ph.D candidate. The course provides valuable resources and information about cybersecurity and the ways to deal with issues faced in the cyber world.

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5 Weeks
Beginner
2,435
Skills Covered:
Knowledge of Cyber Security
Using Machine Learning in Trading and Finance

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

Using Machine Learning in Trading and Finance

The Using Machine Learning in Trading and Finance online course is providing a platform for the students to learn and study about the basics that are involved in developing advanced strategies that are used in modern machine learning techniques. 

In the online programme on  Using Machine Learning in Trading and Finance by Coursera, the applicants will be studying the key components that are common to all the trading strategies irrespective of the platforms and dimensions. 

In the Using Machine Learning in Trading and Finance certification syllabus, the enrolled students will be covering the comprehensive chapters of-  Regularization: L1, L2, and early stopping, Regularization: dropout, Lab Intro: Keras functional API, Regularization: the basics, Neural networks with Keras functional API, Collect the data, Backtest on unseen data, Selecting a machine learning algorithm, Lab Intro: momentum trading, Creating features, Define the problem, Split the data and others.

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5 Weeks
Intermediate
4,115
Skills Covered:
Machine learning
Sample Based Learning Methods

Offered by

University of Alberta, Edmonton , Alberta Machine Intelligence Institute via Coursera
Certificate

Sample-based Learning Methods

The University of Alberta and Alberta Machine Intelligence Institute offer the Sample-based Learning Methods training programme in conjunction with Coursera. An intermediate-level course, the programme is spread across four weeks, with intensive modules on reinforcement learning. The course will also help you understand how learning from experience can help you attain optimal behaviour. 

The Sample-based Learning Methods certification course will help you understand concepts like Temporal Difference learning, Monte Carlo strategy, exploration, dynamic programming, and more. Moreover, the certification course will provide you with a chance to apply TD algorithms, Expected Sarsa, Q-learning, and more.

Instructors will conclude the Sample-based Learning Methods online course by looking at how algorithms can combine model-based planning and temporal difference updates to fast-track learning. Additionally, the certification course offers the flexibility to learn at your own pace in your own time and set your own deadlines. 

You will also receive a combined shareable certificate from the University of Alberta and Coursera, upon completion of the Sample-based Learning Methods course.

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5 Weeks
Intermediate
13,514
Skills Covered:
Machine learning Knowledge of Artificial Intelligence
Prediction and Control with Function Approximation

Offered by

University of Alberta, Edmonton , Alberta Machine Intelligence Institute via Coursera
Certificate

Prediction and Control with Function Approximation

Reinforcement learning is a machine learning method that helps to understand how the software agents should take actions according to the situations and requirements. Helps solve all the problems that have large or high dimensional and potential limitless spaces available. It helps one to investigate how policy prediction and evaluation methods like TD and Monte Carlo can be used to help function approximation settings. 

Prediction and Control with Function Approximation certification course by Coursera include features construction techniques for representational learning through a neutral network, RL and backdrop. This course is designed for the candidates who have completed the first and the second part of the reinforcement learning and specialization training as it is a continuation of the same.

By doing the Prediction and Control with Function Approximation training course they will be a field ready and gain knowledge that will help them master their skills and help upgrade their portfolio which will, in the end, help them towards their successful career. 

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5 Weeks
Intermediate
13,514
Skills Covered:
Machine learning Knowledge of Artificial Intelligence
Getting Started with Amazon Web Services Machine Learning

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Certificate

Getting Started with AWS Machine Learning

Amazon Web Services (AWS), the most comprehensive and vastly adopted cloud platform across the globe, is a fast, easy and cost-efficient platform to build ML applications. The AWS Machine Learning offers tools and services which cater for the developers and organisations to build ML models more efficiently. Globally, AWS Machine Learning is used by developers to build ML models that can test product designs, assess property damages, improve healthcare operations, analyse customer behaviour, fraud detection and much more.

Getting Started with AWS Machine Learning certification course is an online offered by AWS through the Coursera platform. This certificate programme will assist the participants to gain familiarity and working knowledge of AWS Machine Learning. The course content spreads over 5 weeks and includes module videos covering almost every significant aspect of machine learning. Participants will receive a shareable certificate upon completion of this online certificate programme.

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5 Weeks
Intermediate
Free
Skills Covered:
Machine learning Knowledge of Artificial Intelligence
Introduction to Deep Learning and Neural Networks with Keras

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Certificate

Introduction to Deep Learning & Neural Networks with Keras

In the present times where the advances in technology have shifted to IoT (Internet of Things), the concept of Deep Learning can be foreseen as one of the crucial ones, to be understood and well researched. Deep learning is faster and easier to develop and deploy as well. The Introduction to Deep Learning & Neural Networks with Keras certification course, the participants will get a deep insight into the Deep learning models. Furthermore, they will also be able to create models of Deep learning by making use of the Keras library.

The entrant will be introduced to exhilarating applications of Deep Learning. They will be learning about various deep learning algorithms and neural networks which are inspired by the functioning of neurons and the brain with respect to data processing. They will also get an insight into the working of the neural networks to feed the data throughout the network.

The Introduction to Deep Learning & Neural Networks with Keras training will provide knowledge about optimisation of variables as per the defined function, gradient descent algorithm, backpropagation, and updating the weights and biases of neural networks. Furthermore, the entrant will be taught about the activation functions and vanishing gradient problems. 

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5 Weeks
Intermediate
3,369
Skills Covered:
Machine learning Knowledge of Artificial Intelligence Knowledge of deep learning
Certificate

Corporate & Commercial Law I: Contracts & Employment Law

Corporate law is concerned with the aspects of the law of asset manufacture and distribution, whereas commercial law is concerned with acquisitions, mergers, business creation, and institutional ownership. Corporate & Commercial Law I: Contracts & Employment Law online certification was developed by the University of Illinois at Urbana-Champaign and is taught by Professor Michael R Fricke - Assistant Professor through Coursera.

Corporate & Commercial Law I: Contracts & Employment Law online course involves 23 hours of lectures designed to educate applicants with an understanding of how various areas of the law affect businesses and their operations, with an emphasis on preparing for the business law elements of the CPA examination's REG section. By the end of the Corporate & Commercial Law I: Contracts & Employment Law online training, applicants will be able to recognize the legal rules that apply to various business scenarios and apply those rules to a situation to establish the result when the law is applied to the circumstances of a scene. 

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5 Weeks
Intermediate
Skills Covered:
Knowledge of law
Certificate

Corporate & Commercial Law II: Business Forms, Financing & Governmental Regulation

Commercial law, often referred to as commercial law or trade law, is the set of rules that govern the rights, relationships, and actions of individuals and businesses involved in commerce, trade, and marketing. It is frequently seen as a component of the legal system and deals with both private and public legal issues. The University of Illinois at Urbana-Champaign created the Corporate & Commercial Law II: Business Forms, Financing, and Governmental Regulation certification course, which is taught by Professor Michael R Fricke - Teaching Assistant Professor, and is available through Coursera.

Corporate & Commercial Law II: Business Forms, Financing & Governmental Regulation online course is the second part of the two-part series on corporate and commercial law that primarily focuses on three primary topics: company organizations, business financing, and. Corporate & Commercial Law II: Business Forms, Financing & Governmental Regulation online classes contain 25 hours of prerecorded lessons that discuss topics like business forms, government laws, bank financing, debt financing, bankruptcy, trading, and more.

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5 Weeks
Intermediate
Free
Skills Covered:
Knowledge of law
Development of Real Time Systems

Offered by

Certificate

Development of Real-Time Systems

The Development of Real-Time Systems certification course focuses on embedded systems’ challenge of attaining timing correctness. With the help of this course, you will gain the necessary knowledge to plan and arrange a real-time system practically and in theory.

During the Development of Real-Time Systems online course by Coursera, you will utilise established mathematical proofs to design real-time systems on paper. Also, you will know how to apply the theory into practice with the help of prevalent scheduling techniques. The course consists of numerous examples, quizzes, video lessons, peer-reviewed assignments and practical programming assessments.

Developed by EIT Digital, the Development of Real-Time Systems syllabus will take you through the process of programming a real-time system in the C language. You will be using FreeRTOS real-time kernel for this. The programme will acquaint you with examples of these systems like emergence breaks, multimedia systems, airbags, avionics, QoS in web servers, etc.

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5 Weeks
Intermediate
4,115
Skills Covered:
Programming skills Knowledge of Algorithms
Computational Geometry

Offered by

Certificate

Computational Geometry

The branch of algorithm theory that aims to solve problems related to geometric objects is known as Computational Geometry. Its application areas include computer robotics, graphics, computer-aided design, geographic information systems, and many others. In this course, candidates will learn to apply computational geometry to several algorithmic approaches and assess their strengths and weaknesses in a context. That will allow them to select the most appropriate method to approach a specific problem.

The Computational Geometry certification course covers various core computational tasks, such as computing the convex hull in a point set, testing point inclusion in a polygon, triangulating a polygon, intersecting line segments, and processing orthogonal range queries. It pays attention to the evaluation of geometric predicates and proper representation of geometric primitives, which are critical for the efficient implementation of an algorithm. 

Learners can complete the Computational Geometry course in approximately nineteen hours. Upon completion, they can purchase a shareable certificate of completion from Coursera.

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5 Weeks
Intermediate
Free
Skills Covered:
Mathematical skill
Fundamentals of Parallelism on Intel Architecture

Offered by

Certificate

Fundamentals of Parallelism on Intel Architecture

Fundamentals of Parallelism on Intel Architecture Certification Programme keeps candidates hooked with its engaging and informative course offerings. From forms of parallelism involved in modern Intel architecture processors to programming frameworks managing parallelism in an application, candidates will get first-hand knowledge of both simple and complex concepts surrounding the domain. 

Learners will also work on many-core processors of today like Intel Xeon Phi architecture coupled with graded exercises for experimenting. The course is multipurpose where knowledge can be applied to data center workloads, HPC and even artificial intelligence. Most of all, learners will be able to deal efficiently with practicalities comprising task parallelism in shared memory with threads, data parallelism with vector instructions, memory architecture parallelism and optimized data containers, and parallelism in distributed memory with message passing.

Experts behind the drafting of the course material have ensured that the course takers, after taking this course, do not have to worry about handling acceleration of computational applications by orders of magnitude, since they will be taught how to keep their code future-proof and portable. Co-offered by Intel, experts have ensured to offer the right tools and peer expertise to learners so that they can succeed and learn to innovate.

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5 Weeks
Intermediate
Free
Skills Covered:
Software development skills
Motors and Motor Control Circuits

Offered by

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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5 Weeks
Intermediate
6,638
Skills Covered:
Knowledge of electronics Knowledge of engineering

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