1660 Courses and Certifications

Coursera Courses & Certifications 2025

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Asymmetric Cryptography and Key Management

Offered by

Certificate

Asymmetric Cryptography and Key Management

3 Weeks
Intermediate
4,117
Introduction to the Threat Intelligence Lifecycle

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Certificate

Introduction to the Threat Intelligence Lifecycle

3 Weeks
Beginner
Free
Software Architecture for the Internet of Things

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Certificate

Software Architecture for the Internet of Things

The Software Architecture for the Internet of the Things certification course is a three-week-long course wherein the participant will discover the importance of software architecture that is well-designed and error-free. They will troubleshoot the challenges that might come while developing the software. The participants will enlist their requirements for software development. They will be conducting a case study and learn the writing of quality attributes and their scenario. The participants will also get an insight into the usage of tactics and patterns in the framework of Android systems.

The Software Architecture for the Internet of the Things training course will teach the participants to design a complete system that is futureproofed and which is meeting all the requirements of the IoT systems like interoperable, secure, scalable, and modifiable. Also, the participants will be learning top-notch software architecture methods and applying them in designing complex IoT applications. At last, they will understand the impact of technical decisions on the business related to IoT systems.

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3 Weeks
Free
Skills Covered:
Software development skills
Embedded Software and Hardware Architecture

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Certificate

Embedded Software and Hardware Architecture

Microcontroller computer hardware and software systems are known as embedded systems which are created to carry out specific tasks, either independently or as a component of a larger system. An integrated circuit built to perform computing for real-time processes is at the core of the process. Embedded Software and Hardware Architecture certification course is developed by the University of Colorado Boulder and Alex Fosdick - Instructor which is made available by Coursera.

Embedded Software and Hardware Architecture online course introduces individuals to the fundamental concepts of embedded systems, developing techniques for software that can interact with hardware, the functions of software interfaces, microcontrollers, memory, bit manipulation, enumeration, encapsulation, debugging, and more. By the end of the Embedded Software and Hardware Architecture online classes, individuals will have acquired the skill of writing limited code to physically integrate devices with extremely effective, accessible, and portable design practices.

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3 Weeks
Intermediate
Free
Machine Learning

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Certificate

Supervised Machine Learning: Regression and Classification

Machine Learning is a highly demanded skill in the 21st Century. ML is the application of Artificial Intelligence  that provides systems with the ability to learn and improve from experience, without any explicit programming and human intervention. It is the study of computer algorithms that automatically improve through experience. ML has now become an integral part of our lives, and data science and AI professionals are looking to upskill in this. In Coursera’s Machine Learning training course, you will learn the most effective ML techniques and gain experience in their practical applications with precision. 

The Coursera Machine Learning programme teaches the extensive theories behind Machine Learning so that you can quickly learn to apply the techniques to new problems. Besides Machine learning, this course also provides an introduction to data-mining, artificial neural networks, logistic regression, and statistical pattern recognition. 

This Machine Learning certification course is offered by Stanford University and is taught by one of the top educators of Stanford. It takes approximately 60 hours to complete this course. It has 18 modules rife with pre-recorded online lectures, readings and practice exercises for self-evaluation. 

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3 Weeks
Beginner
3,369
Skills Covered:
Machine learning
Probabilistic Graphical Models 3 Learning

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Certificate

Probabilistic Graphical Models 3: Learning

The Coursera Probabilistic Graphical Models 3: Learning certification course covers probabilistic graphical models, commonly known as PGMs. They are a rich framework used for encoding probability distributions over complex domains. They form the foundation of state-of-the-art methods in different applications such as speech recognition, natural language processing, medical diagnosis, image understanding, and many more. They are also instrumental in formulating many machine learning problems. 

The Probabilistic Graphical Models 3: Learning training is the third course in a series of three. Where the first course focused on representation, and the second focused on inference and the final course helps in addressing questions related to learning. The course discusses the main problems of parameter estimation in both directed and undirected models. 

Moreover, students can receive a course completion certificate for the Coursera Probabilistic Graphical Models 3: Learning programme. Candidates can attach the certificate to their LinkedIn profile or their resume/CV.

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3 Weeks
Expert
5,029
Skills Covered:
Knowledge of Algorithms
Machine Learning Rapid Prototyping with IBM Watson Studio

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Certificate

Machine Learning Rapid Prototyping with IBM Watson Studio

The Machine Learning Rapid Prototyping with IBM Watson Studio certification course will be allowing the students to work in the emerging technologies of AI. The syllabus is included in the online course Machine Learning Rapid Prototyping with IBM Watson Studio by Coursera. The online programme is  100% online programme and the course is having a duration of eight hours. The Machine Learning Rapid Prototyping with IBM Watson Studio certification syllabus includes the chapters of- Classification Prep Demo, Regression Prep Demo, Multi-armed Bandit Approach, Demo Classification: Making Changes to the Models, Automated Data Preparation, DAUB Algorithm, The model selection problem and others.

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3 Weeks
Intermediate
Skills Covered:
Machine learning
Certificate

Advanced Recommender Systems

Machine Learning finds widespread application in providing recommendations and making better predictions in software by deploying opinions from users and constructing a model automatically while eliminating the need to consider all the details of that model. Advanced Recommender Systems Certification by Coursera will expose learners to advanced machine learning techniques that can be used to create sophisticated recommender systems. 

Offered by EIT Digital and Politecnico di Milano, both of which are top-ranked in their respective domain, this course boosts one's creativity and innovation skills and implores them to think beyond the thinkable. Advanced Recommender Systems Certification Syllabus will deal with the management of hybrid information and a combination of various filtering techniques. This course will ensure that learners derive the best from each approach taught to them.

At the course conclusion, candidates will have been well acquainted with factorisation machines and how to represent input data accordingly. They will learn all the essential methods that can be used to solve the cross-domain recommendation problem. Finally, identifying new challenges and trends in giving recommendations for numerous innovative application contexts will also be highlighted in Advanced Recommender Systems Certification Course.

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3 Weeks
Intermediate
Skills Covered:
Mathematical skill

Offered by

Certificate

End-to-End Machine Learning with TensorFlow on GCP

End-to-End Machine Learning with TensorFlow on GCP is the successor of the first course Advanced Machine Learning with TensorFlow on Google Cloud Platform Specialization. This programme is included in a 5-course specialization that focuses on the topics of advanced machine learning that uses Google Cloud Platform. This course would give real-life experience by improving, establishing, and measuring production.

Through this course, the candidates would learn to build innovative, correct, and manufacturing-ready models for organised data, time series, natural language text, and image text. The course will end on recommendation systems. This programme does not have any schedule adherence; the candidates can look at the study materials according to their availability.  Along with theoretical concepts, the candidates would also learn about the practical approach of advanced machine learning.

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3 Weeks
Expert
2,967
Skills Covered:
Machine learning Knowledge of cloud computing
Certificate

Managing Machine Learning Projects

The Managing Machine Learning Projects certification course is a lunch of Duke University’s Pratt School of Engineering, and Coursera. This is course number 2 of the main AI Product Management Specialization programme. The course has a main focus on the practical aspects related to the management of projects in machine learning.

The Managing Machine Learning Projects training will take around 18 hours to get completed. This Coursera programme will walk every participant through different processes like data collection, building of a model, data collection, deployment, and maintenance of the systems of production. Apart from the above the candidates will also be taught processes in data science so that decision making in ML systems can be easier. 

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3 Weeks
Beginner
3,277
Skills Covered:
Project management Machine learning Predictive Modeling knowledge
Certificate

Machine Learning for Data Analysis

The Machine Learning for Data Analysis certification course is a 10 hours course taught by Wesleyan University, and Coursera. If students want to learn about predicting outcomes of the suture with data available today then this Coursera course is the best option that they can avail. The process of machine learning taught through this programme will help in testing, then applying, and finally applying algorithms that are predictive for achieving different kinds of goals. 

The Machine Learning for Data Analysis training is course 4 of 5 of the main Data Analysis and Interpretation Specialization programme. After this course gets completed, the candidates will be learning ways of interpretation algorithms of machine learning. These concepts will be serving as alternative methods that will help in giving answers to research questions.

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3 Weeks
4,117
Skills Covered:
Machine learning Knowledge of Python
Machine Learning Clustering and Retrieval

Offered by

Certificate

Machine Learning: Clustering & Retrieval

Machine Learning: Clustering & Retrieval is the University of Washington-offered online certification programme. The online course will expose the students to the practical understanding of clustering and retrieval aspects of machine learning through the case study of Finding Similar Documents. Machine Learning: Clustering & Retrieval Certification Course facilitates the students to take the course completely in online mode from anywhere in the world. 

Provided by Coursera, Machine Learning: Clustering & Retrieval Certification Syllabus will discuss the similarity-based algorithms for retrieval,  latent Dirichlet allocation (LDA), clustering, and the implementation of expectation maximization (EM) and the like. Machine Learning: Clustering & Retrieval Certification by Coursera is the fourth and last course in the Machine Learning Specialization. 

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3 Weeks
4,117
Skills Covered:
Machine learning
Introduction to Machine Learning in Sports Analytics

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Certificate

Introduction to Machine Learning in Sports Analytics

Introduction to Machine Learning in Sports Analytics is an intermediate-level online course provided by Coursera which is one of the leading online course providers.  The online certification programme will guide the learners on how to use machine learning in sports analytics. Offered by Coursera, Introduction to Machine Learning in Sports Analytics Certification Course is the last course in the Sports Performance Analytics Specialization offered by the University of Michigan. 

Introduction to Machine Learning in Sports Analytics Certification Syllabus will discuss the machine learning techniques, the prediction of athletic outcomes with machine learning, and many more. Introduction to Machine Learning in Sports Analytics Certification by Coursera can be taken by learners who have familiarity with Python. 

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3 Weeks
Intermediate
3,277
Skills Covered:
Machine learning
Certificate

Machine Learning for All

3 Weeks
Beginner
Free
Machine Learning Introduction for Everyone

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Certificate

Machine Learning Introduction for Everyone

3 Weeks
Beginner
Free
Data Engineering and Machine Learning using Spark

Offered by

Certificate

Data Engineering and Machine Learning using Spark

3 Weeks
Beginner
Free
Regression Models

Offered by

Certificate

Regression Models

3 Weeks
4,117
Certificate

Machine Learning Algorithms

3 Weeks
Free
Key Success Factors in Supply Chain Finance

Offered by

New York Institute of Finance, New York via Coursera
Certificate

Key Success Factors in Supply Chain Finance

Key Success Factors in Supply Chain Finance by Coursera is the second course in the Supply Chain Finance and Block-chain Technology Specialization, which is an initiative of NYIF in collaboration with the online learning platform. This is an intermediate-level course which means that you must have some knowledge of trade finance and corporate finance before you enroll. 

Moreover, the Key Success Factors in Supply Chain Finance online course aims to teach the impact, challenges and success factors in supply chain finance. You will learn about the field and the key responsibilities and roles that are involved in it. Further, the course curriculum explores who is the ideal customer and how revenues are generated for a supply chain finance programme.

What’s more, you can earn a Key Success Factors in Supply Chain Finance certificate upon completing this programme. You will learn through video lessons, practise exercises and extra readings over a period of three weeks under the guidance of expert instructors from NYIF.

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3 Weeks
Intermediate
13,572
Skills Covered:
Financial Management
Certificate

Accounting Analysis I: The Role of Accounting as an Information System

Accounting Analysis I: The Role of Accounting as an Information System is an online certificate program offered by the University of Illinois at Urbana-Champaign. The intermediate-level online program will help the students to understand accounting as an information system.  Accounting Analysis I: The Role of Accounting as an Information System Certification Course, offered by Coursera, is the first course in five programs of Financial Reporting Specialization. 

Accounting Analysis I: The Role of Accounting as an Information System Certification Syllabus will explore the structure and standards of financial accounting, financial statement preparation, balance sheet, income statement, and many more. Accounting Analysis I: The Role of Accounting as an Information System Certification by Coursera can be completed by the learners within about 3 weeks. 

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3 Weeks
Intermediate
1,699
Skills Covered:
Financial Management
Certificate

Behavioral Finance

3 Weeks
Beginner

Offered by

IESE Business School via Coursera
Certificate

Finance for Managers

3 Weeks
6,638
Certificate

Population Health: Alternative Payment Models

3 Weeks
Beginner
Free
Innovative Finance Hacking Finance to Change the World

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Certificate

Innovative Finance: Hacking finance to change the world

3 Weeks
Beginner
Free

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