1660 Courses and Certifications

Coursera Courses & Certifications 2025

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Probabilistic Graphical Models 1 Representation

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Certificate

Probabilistic Graphical Models 1: Representation

The Probabilistic Graphical Models 1: Representation course by Coursera is a part of the Probabilistic Graphical Models Specialization on the Coursera platform. Stanford University offers a certification course in association with Coursera.

The Probabilistic Graphical Models 1: Representation online course has a curriculum spread out over five weeks. The certification course will help you develop a deep understanding of the PGM framework by communicating perplex material with skill. Moreover, the online course primarily covers the fundamentals of Bayesian networks and Markov networks. 

Furthermore, the Probabilistic Graphical Models 1: Representation certification course promotes interaction and improvement with a comprehensive curriculum, intermittent assignments, and discussion boards. Candidates can self-assess using these mediums and grasp the course contents at their own pace. 

Finally, Coursera provides a certificate upon successful completion of the  Probabilistic Graphical Models 1: Representation course. The certificate can be added to the resume or shared on LinkedIn and other professional websites. Learners can also take a print out of the certificate.

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Expert
5,029
Skills Covered:
Machine learning

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Swiss Federal Institute of Technology Lausanne via Coursera
Fundamentals of Network Communication

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Certificate

Fundamentals of Network Communication

The Fundamentals of Network Communication course by Coursera is an intermediate-level course that is part of the Computer communications Specialisation. It will take you back to the core of networks and help you identify the major functions and concepts that are the crux of layered IT architecture. You will learn about how networks support the services and protocols.

Through the Fundamentals of Network Communication online programme, you will explore the field of digital communication and understand its fundamental concepts. The curriculum covers the error control techniques such as polynomial code, internet checksum, and parity check.

The University of Colorado offers the Fundamentals of Network Communication training course. Your instructor will be a highly qualified professional, Interim Dean Xiaobo Zhou, who will deliver the lectures via pre-recorded videos. This course is entirely self-paced and online. So, you can enjoy learning about computer communications at your own pace and comfort. Upon course completion, you can earn a shareable certificate.

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Intermediate
3,369
Skills Covered:
Knowledge of computer networking
Applied AI with DeepLearning

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Certificate

Applied AI with Deep Learning

The Applied AI with Deep Learning online course is provided as a part of the IBM advanced data science certification programme for giving much-needed insights into the models of deep learning for students. The Applied AI with Deep Learning certification syllabus will dive into the fundamentals of linear algebra, neural networks, deep learning frameworks and advanced concepts such as time series forecasting, natural language processing and image recognition. The students will be trained at an advanced level of learning and it provides a sharable and verified certificate upon completion. The Applied AI with Deep Learning by Coursera is provided in the English language with subtitles in many languages and the learning can be done easier with flexible deadlines for submission of projects and assignments.

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Expert
4,074
Skills Covered:
Machine learning Knowledge of deep learning Knowledge of Apache Spark
Introduction to Devops

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Certificate

Introduction to Devops

Beginner
4,117
Certificate

Concurrent Programming in Java

The course- Concurrent Programming in Java is the part of the Concurrent, Parallel, and Distributed Programming in Java Specialization. The course is offered by Rice University which is ranked among top 100 universities across the world and top 20 universities in the United States of America. The course is for students and professionals who intend an in-depth study of programming in Java.

The programme teaches all the fundamental concepts of concurrent programming in Java 8. The knowledge of concurrent programming assists developers to mediate the parallel programs using shared resources more efficiently. Towards the end of the course, the participants will use basic concurrency constructs like locks, threads, atomic variables, actors, isolation critical sections, concurrent collections, critical sections. Also, the theoretical foundation concepts like deadlock, progress guarantees, linearizability, and starvation will be taught in the course. The knowledge of theoretical foundations of concurrency will empower the participant to be meticulous and avoid subtle and common errors in programming.

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Intermediate
3,369
Skills Covered:
Java
Data Analytics for Lean Six Sigma

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Certificate

Data Analytics for Lean Six Sigma

Beginner
Free
Data Analyst Career Guide and Interview Preparation

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Application Development using Microservices and Serverless

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Offered by

Offered by

Certificate

Introduction to Cloud Identity

Beginner
Free
Data Manipulation at Scale Systems and Algorithms

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Certificate

Data Manipulation at Scale: Systems and Algorithms

The Data Manipulation at Scale: Systems and Algorithms online course by Coursera is the first step in the Data Science at Scale Specialization series. The University of Washington offers the certification course in collaboration with Coursera.

The Data Manipulation at Scale: Systems and Algorithms online certification course aims to teach the landscape of relevant systems to the students and how these systems are evaluated along with the principles on which they rely. Students will also learn the context of data science as well as the history, skills and challenges that come while working with data. Moreover, students will get hands-on experience in learning how to structure a data science project. 

Additionally, the Data Manipulation at Scale: Systems and Algorithms class programme is a self-paced learning course so that students never have to worry about missing a class. At the same time, the course is 100% online so that they can learn from the comfort of their home. The students will be awarded a shareable certificate after completing the course, which can be shared on professional platforms. 

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3,369
Skills Covered:
Knowledge of Python SQL knowledge
Certificate

Getting Started With TensorFlow 2

The Imperial College of London offers the Getting Started With TensorFlow 2 online course in conjunction with Coursera. Achieving certification in courses offered by this esteemed institution gives you an inclusive educational experience and superior digital technology. 

The Getting Started With TensorFlow 2 certification course has modules spread out over five weeks, which candidates can complete in approximately 26 hours. Dr Kevin Webster, a Senior Teaching Fellow in Statistics at the Imperial College London, instructs the certification course. 

An intermediate-level course, the Getting Started With TensorFlow 2 training will teach you the fundamentals concepts of TensorFlow. You will become fully adept in developing deep learning models and using them to evaluate, train, and make predictions. 

Furthermore, the Getting Started With TensorFlow 2 certification course promotes interaction and improvement of one’s core abilities with a comprehensive curriculum and intermittent assignments. You can self-assess through these mediums and grasp the course contents at your own pace. Finally, Coursera awards you with a certificate upon successful completion. 

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Intermediate
3,369
Skills Covered:
Machine learning Knowledge of deep learning
Fundamentals of Reinforcement Learning

Offered by

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

Fundamentals of Reinforcement Learning

The course Fundamentals of Reinforcement Learning certification course is offered by Coursera by collaboration with the University of Alberta to make the aspirants skilful with machine learning and applications of Artificial Intelligence. The course is free to enrol and can access all the course materials free of cost. Therefore aspirants can use the opportunity for growing their career with a course completion certificate and increase the chances of hiring.

With the digital connection over the world, Business Intelligence over decision making is made essential in organizations. Decision making increases the prosperity of the business. Therefore the use of decision making with Artificial Intelligence and machine learning became most popular when the programme comes into existence. Organizations are looking forward to candidates who are skilled in this type of Artificial Intelligence, Robotics, Machine learning and, the Internet of things (IoT) as well

Coursera is the digital platform to learn the concepts that are offered for free. Candidates can learn throughout their lifetime and can avail of certificates after completion of the Fundamentals of Reinforcement Learning Training course. 

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Intermediate
13,514
Skills Covered:
Decision making skills Machine learning Knowledge of Artificial Intelligence
Supervised Machine Learning Classification

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Certificate

Supervised Machine Learning: Classification

A part of the multiple series programme, the online session on Supervised Machine Learning: Classification by Coursera provides the students with a detailed emphasis on the main types of modelling that are involved with the genre of machine learning. The students will learn elaborately to train the predictive models that are involved and used across various domains. The Supervised Machine Learning: Classification certification syllabus will be covered on the online platform by the students over a time frame of 24 hours. The course will train the students professionally in the domain of machine learning.

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Intermediate
3,384
Skills Covered:
Machine learning
Practical Machine Learning

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Certificate

Practical Machine Learning

Practical Machine Learning, available on Coursera, is administered by Johns Hopkins University to expose the students to the realm of machine learning along with a thorough practical training with the help of numerous practical applications. Practical Machine Learning Certification Syllabus developed by industry experts and experienced professors will walk the students through concepts of sets, overfitting, regression, classification trees, Naive Bayes, random forests, and error rates. 

Practical Machine Learning Certification Course, provided by Coursera, will shed light on numerous topics related to machine learning including algorithms, evaluation, data collection, and feature creation. Practical Machine Learning Certification by Coursera prepared by Jeff Leek, Ph.D., Roger D. Peng, Ph.D., and Brian Caffo, Ph.D. with an emphasis on facilitating the learners to practice the application of machine learning. 

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1,699
Skills Covered:
Machine learning
Machine Learning Regression

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Certificate

Machine Learning: Regression

Machine Learning: Regression is a certification programme offered completely in the online mode. In the course by the University of Washington, the students will be exposed to machine learning, particularly regression. Machine Learning: Regression Certification Syllabus will talk about regression which is predictive modelling in machine learning that will help to foresee the outcomes analyzing the algorithm. 

In the Machine Learning: Regression Certification Course, offered by Coursera, the candidates will learn the regression based on the case study of the ‘Predicting Housing Prices’ where the students will come up with a model that will predict a continuous value/price based on the input features such as a number of bathrooms, bedrooms, etc. Machine Learning: Regression Certification by Coursera is the second in the four courses of Machine Learning Specialization. 

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1,699
Skills Covered:
Machine learning

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Certificate

Machine Learning in the Enterprise

Intermediate
4,117

Offered by

Certificate

Production Machine Learning Systems

Expert
4,117
Teach English Now Second Language Listening, Speaking and Pronunciation

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Certificate

Teach English Now! Second Language Listening, Speaking, and Pronunciation

The ‘Teach English Now! Second Language Listening, Speaking, and Pronunciation’ online certification program is a study about the significant aspects of listening and speaking with the concepts of paralinguistics, performance variables, regional and reduced forms, and the various types of oral discourse. This language learning course of the English language is provided by the Coursera educational platform and is developed by Arizona State University. The students of this course can complete the course within a period of two weeks.

The participants in this course are led by the top instructors of Coursera such as Jessica Cinco (International Educator at Global Launch), Dr. Shane Dixon (Senior International Educator), and Dr. Justin Shewell (Senior International Educator).

The ‘Teach English Now! Second Language Listening, Speaking, and Pronunciation’ online training program helps students to receive a course certificate after completing the course with the professional skills to counter the challenges of teaching and learning English.

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Beginner
1,699
Skills Covered:
Teaching skills Pedagogy skills Speaking skills Listening skills Analytical skills Communication skills Language fluency
Teach English Now Capstone Project 2

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Science of Exercise

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Certificate

Science of Exercise

Beginner
Free
Removing Barriers to Change

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Certificate

Removing Barriers to Change

Beginner
Free
DNA Decoded

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Certificate

DNA Decoded

Intermediate
Free
Introduction to R Programming and Tidyverse

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Certificate

Introduction to R Programming and Tidyverse

Beginner
4,117

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