1660 Courses and Certifications

Coursera Courses & Certifications 2026

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Certificate

System Administration and IT Infrastructure Services

System Administration and IT Infrastructure Services course is the complete transitional package to train learners to work on many computers from just one. One of the premium learning of the course- Systems Administration is an important branch of Information Technology that deals with the maintenance of reliable systems of computers in a multi-user environment. This course enlightens candidates about infrastructure services devised for the smooth running of organisations across the world.

 It lays a special focus on the Cloud System for a better understanding of the typical setup of cloud infrastructure for the management of cloud resources. Besides this, learners shall also be apprised of the configuration of servers and usage of industry tools for the administration of user productivity and information. Perhaps the most important aspect of this course is preparing candidates to cope with a corporate disaster by appropriate recovery strategy for their organization’s IT infrastructure.

This offering is a part of the IT Support Professional Certification Programme offered by Google Inc. under its initiative-Grow with Google. Learnings from this course will help the millennial workforce and students to access the best tools to enhance their career, business, and skills.

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6 Weeks
Beginner
3,369
Skills Covered:
Knowledge of IT industry
Certificate

Object Oriented Programming in Java

This course is developed for people with many goals like software developers and people who are trying to polish their programming skills. Object-Oriented Programming in Java is an intermediate Java course, designed for learners who have previous knowledge about software development or any background in computer science. The course moves with the objective that when you complete the course you are confident to create a java program on your own and carrying much more knowledge about programming than before. 

You will learn the fundamentals of object-oriented programming, building graphical user interfaces, how to leverage the power of existing libraries and using some core algorithms for searching and sorting data.

The course is designed knowing well how the learners are from different backgrounds and are here for different objectives, seeing that the first week you will get to know about the course, how you will learn and why this course. You will get assignments and quizzes, also get to participate in group forums with other students of the course. 

You will take a minimum of 6 weeks to complete this course. 

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6 Weeks
Intermediate
3,369
Skills Covered:
Java Programming skills Knowledge of Algorithms

Offered by

Certificate

Getting Started with Azure

The free online course, Getting Started with Azure available at Coursera is offered by Learn Quest. The course is an introduction to Microsoft Azure services, Deploying Virtual Machines, Cloud Management, and many more.The 100% online course helps you learn Navigating Azure Tools And Services, Azure Network Security, Deploying Azure Network, etc.

The students of the course will gain familiarity with the most important Azure topics and help you practice the Implementation of infrastructure components.The course is spread across 6 weeks which includes topics related to Azure. There are online videos from professional instructors, some reading materials, and quizzes to test your learning. 

At the end of the course, you will receive Getting Started With Azure Course Certification which will help you in enhancing your CV and LinkedIn profile.The online course will only take 20 hours to complete but it’s very flexible which means you can complete the course according to your timetable and commitments. Henceforth, the course provides the learners with flexible deadlines.

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6 Weeks
Beginner
Free
Skills Covered:
Knowledge of cloud computing
Mathematical Thinking in Computer Science

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Certificate

Mathematical Thinking in Computer Science

Mathematics and computer science have entrenched relationships as math forms an important background in the field of computer science and computer science also has a lot of applicability math. As math is abstract, it helps in learning all the other programming languages. 

Mathematical thinking is critical in all the crucial areas of computer science like bioinformatics, data science, machine learning, algorithms, computer graphics, etc. In this course, Mathematical Thinking in Computer Science by Coursera, you will be taught the most significant and paramount tools used in discrete mathematics like recursion, logic, examples, induction, optimality. 

In this course, we apply a practical approach: try-this-before-we-explain-everything. Due to such a practice, you will be solving a plethora of interactive and mobile-friendly puzzles. These are carefully designed to give you a chance and opportunity to invent many of the crucial ideas and concepts by yourself. 

...Read More
6 Weeks
Beginner
13,514
Skills Covered:
Mathematical skill
Certificate

Introduction to Machine Learning

The Introduction to Machine Learning certification course is offered by Duke University. It will help you know your strengths and apply your skills in the most efficient manner to get work done. It will give you additional knowledge that will make you more confident in your work and perform better at your workplace or start your own business. 

The course will give you a brief overview of machine learning models like natural language processing, logistic regression, convolution neural networks, and multilayer perceptrons, while also explaining how these models can be put to use for solving technical problems in various industries like medical, image recognition, and text prediction. 

It is a combination of practical as well as theoretical knowledge about Machine learning, that will provide you with a framework for understanding how you can implement data science models and machine learning algorithms. The  Introduction to Machine Learning Training Course will allow you to work on a real-world hands-on project that is required in the fast-developing technological world. 

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6 Weeks
Intermediate
Free
Skills Covered:
Natural Language Processing Machine learning
Introduction to User Experience Principles and Processes

Offered by

Certificate

Introduction to User Experience Principles and Processes

The Coursera Introduction to User Experience Principles and Processes certification course is a beginner-level programme to get started with learning UX design and research. The six-week course will cover the key learnings of UX, such as evaluating systems, conducting an interview, and using good designing principles to analyse systems. You will learn about the work that goes into UX design, which includes creating prototypes at varying fidelity levels. 

The online Introduction to User Experience Principles and Processes programme consists of the core concepts such as the basics of UX design and research, perceiving information, an overview of UX design, design heuristics, and more. The course curriculum is built by the experts at the University of Michigan to help you achieve a firm understanding of UX design, research, and how a good UX improves a product. 

Moreover, the Introduction to User Experience Principles and Processes training programme has free enrolment. It also features online learning with flexible deadlines and pre-recorded videos to fit your busy schedule. The curriculum is created in English, with multilingual subtitles. After satisfactory completion, you will receive a shareable certificate as well. 

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6 Weeks
Beginner
3,369
Skills Covered:
Knowledge of UI
C for Everyone Programming Fundamentals

Offered by

Certificate

C for everyone: programming fundamentals

The C for Everyone: Programming Fundamentals course is a beginner-level programme to help you get started with the C language for programming. The course curriculum consists of the fundamentals of C and has been built for everyone, absolute beginners in programming or coding. It will give a head-start to interested learners who want to establish a firm foundation to learn the C language and then progress to the advanced courses.

The C for Everyone: Programming Fundamentals training has been created in collaboration with the University of California, Santa Cruz. The curriculum includes learnings such as the history, data types, lexical elements, simple functions, control flow, recursion, and advanced functions of C. These concepts will provide an in-depth understanding of the fundamentals of C that help it to operate.

Moreover, the C for Everyone: Programming Fundamentals course by Coursera can be joined for free and features flexible deadlines and pre-recorded videos to help you learn at your own pace. The course curriculum is available in English, but subtitles are available in multiple languages. Upon satisfactory completion, you will receive the course certificate.

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6 Weeks
Beginner
3,369
Skills Covered:
Programming skills
Certificate

Mathematics for Machine Learning: Multivariate Calculus

The Mathematics for Machine Learning: Multivariate Calculus course provides a brief introduction to multivariate calculus which is necessary for constructing several popular techniques for machine learning. The aim of the course is to provide an intuitive understanding of calculus, as well as the language required to look up concepts when candidates get lost. Candidates can still come away with the courage to dive into some more oriented machine learning courses in the future without going into too much detail. 

The Mathematics for Machine Learning: Multivariate Calculus course is the second one of the 3 courses in mathematics for machine learning specialisation. The goal of this specialisation is to bridge the gap then bring candidates up to speed in the underlying mathematics, develop an intuitive understanding, and relate it to data science and machine learning. The specialisation is pointed at what linear algebra is and how it applies to data in the first course on Linear Algebra. It will then draw attention to what exactly are matrices and vectors and how one can operate them. 

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6 Weeks
Beginner
3,369
Skills Covered:
Mathematical skill
Building AI Powered Chatbots without Programming

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Certificate

Building AI Powered Chatbots without Programming

Building AI-Powered Chatbots without programming certification course is offered by IBM and is conducted by Coursera. The programme attracts a vast number of candidates that want to learn to develop Chatbots without any need for coding for it. 

With a rise in the demand for Chatbot, this Coursera programme is ideally a programme that should not be missed by professionals who are aiming to build a career in this field. The programme is flexible in nature so that it can be easily pursued by professionals. Moreover, the course gives a certificate of completion, if the candidate fulfills all the key requirements of the Building AI-Powered Chatbots Without Programming training programme. The course can be of tremendous help in finding job opportunities in top companies across the globe.

The programme will be delivered via videos, pre-recorded content, and practice exercises which will help the candidate in gaining both theoretical as well as practical information on the subject. 

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6 Weeks
Beginner
3,369
Skills Covered:
Computer skills

Offered by

Swiss Federal Institute of Technology Lausanne via Coursera
Certificate

Functional Programming Principles in Scala

Coursera offers the Functional Programming Principles in Scala online course in association with EPFL (École Polytechnique Fédérale de Lausanne) which is a renowned research university in Lausanne, Switzerland. The instructor for this course is Professor Martin Odersky, who has devoted most of his career to programming languages. Learn from Prof. Martin and get the best educational experience in the field of functional programming.

The Functional Programming Principles in Scala course has modules spread out over 6 weeks; the course can be completed in approximately 45 hours. Discover the components of functional programming style with this comprehensive curriculum and apply them practically. 

Besides, the Functional Programming Principles in Scala certification course also promotes interaction and improvement of one’s core abilities in a fun and relaxed way. Enjoy intermittent programming assignments to get a grip on the practical aspect of the course. Coursera will award you a certificate upon successful completion of this course, allowing you to share your skills and specialization.

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6 Weeks
Intermediate
3,369
Skills Covered:
Programming skills
Algorithmic Toolbox

Offered by

Certificate

Algorithmic Toolbox

The certificate programme on Algorithmic Toolbox by Coursera is an intermediate level course that will cover basic ideas for problems arising in the practical applications of computational problems, algorithmic techniques, greedy algorithms, Sorting and searching, Dynamic programming, and divide and conquer. The course offers a lot of theory and understanding of the burning questions in programming. It helps candidates develop an understanding of how to solve the most commonly arising problem and how they can break it into pieces and solve them recursively, Further how they can sort data and how it can help in searching, when it is ok to proceed greedily and how genomic studies use dynamic programming.

The candidates will be given enough practice in solving the computational problems, implement the solutions efficiently, design new algorithms, and ensure the easy and smooth running of the programs. This course forms a part of specialisation in Data structures and algorithm specialisation, for candidates willing to learn more about the topic and further continue to take the specialization too.

For candidates and professionals willing to learn about the new challenges in programming and better equip themselves for staying relevant in the industry this course on Algorithmic Toolbox will offer a much better understanding of the subject and help them take the next step in their career.

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6 Weeks
Intermediate
13,514
Skills Covered:
Programming skills Knowledge of Algorithms
Getting Started with Go

Offered by

Certificate

Getting Started with Go

The course, “Getting Started with Go” is intended for people with previous programming expertise utilising languages such as C, Python, or Java, and covers the elemental components of Go. Topics embody the various types of data, protocols, formats, and writing code that comes with RFCs and JSON. Most significantly, you’ll have an opportunity to follow and try writing Go programs and receive feedback from your peers. Upon finishing this course, you will be able to implement easy Go programs, which can prepare you for the ensuing study at a greater and advanced level.

The programming language Go is an open-source project to assist programmers in being much more productive.

Go is communicative, concise, clean, and economical. Its concurrency mechanisms facilitate the process of jotting down programs that get the maximum out of multicore and networked machines, whereas its novel kind of system allows versatile and standard program construction. Go compiles quickly to machine code, and nevertheless,  has the convenience of waste storage and also the power of run-time reflection. It is a quick, statically written, compiled language that appears to be a dynamically written and understood one. 

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6 Weeks
Intermediate
3,369
Skills Covered:
Programming skills
Excel VBA for Creative Problem Solving Part 1

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Certificate

Excel VBA for Creative Problem Solving, Part 1

The Excel/VBA for Creative Problem Solving, Part 1 course is a comprehensive 6-week study designed for learners looking to improve, expand, and optimise their Excel skills. This programme delves deep into the world of Visual Basic for Applications (VBA) and its robust automation, programming, and customisation functionalities.

The Excel/VBA for Creative Problem Solving, Part 1 training programme, is the first course in a three-part specialisation that aims at instilling problem-solving skills by leveraging various computational techniques employed by Excel/VBA. The curriculum includes crucial practice exercises at the end of each week’s module to help you consolidate the knowledge gathered throughout the week.

Moreover, the Online Excel/VBA Creative Problem Solving, Part 1 course by Coursera includes real-life problems that will help you realise the industry problems you might face in your career. Further, to pass each module, you will need to achieve the minimum required marks in the given week’s problem-solving assignment along with the mastery quiz. Upon successful course completion, you also receive a certificate of completion from Coursera and the University of Colorado Boulder. You can share the certificate directly on your LinkedIn profile.

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6 Weeks
Beginner
3,369
Skills Covered:
Problem Solving Ability Programming skills Knowledge of Excel
Competitive Programmers Core Skills

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Certificate

Competitive Programmer’s Core Skills

The course Competitive Programmer's Core Skills offered by Coursera is collaborated with Saint Petersburg University to offer the basic programming skills on any type of platform. For aspirants who are looking for coding practice online and to get hired as a programme developer, the programme helps them to a large extent. Learners are made to learn the skills that are required to capture programme logic efficiently. Thereby learners can learn programming easily in the desired platform at the end of completion of the course.

In the engaging software environment, everyone is interlinked with software and development and even for any updates, there is a vast use of programming in an organization or at any other place. Here the course comes into a need with all the basics of programming aspirants can learn for new developments. Thereby every organization looks for programme developers and programming testers to work with errorless results. Programming has made new developments in technology and it is an endless process

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6 Weeks
Intermediate
Free
Skills Covered:
Programming skills C++ Java Knowledge of Python
Programming Languages Part A

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Certificate

Programming Language Part-A

This course is offered by the University of Washington which is one of the oldest state-supported universities for higher education and one of the best research universities in the world. This course will help you know your strength, apply your analytical skills, and provide you with the confidence to perform efficiently at your workplace or start your own business. 

Students are introduced to the basics of programming languages and with additional focus on functional programming, using languages like ML, racket, and Ruby to teach the ideas to the student community, but the course aims to make students learn about how they can fit together any language to make an effective program in any language and learn new ones.

This course combines programming specifics and theoretical knowledge about the programming languages, providing a framework for understanding how a language can be used to create programs in an effective manner. This will demand you to put your analytical thinking to use, more, by selecting different languages as compared to in terms of the particular syntax of one language.  For learning how to write a robust, reusable, composable, and elegant program, it is very essential to learn about functional programming which offers the most important ideas in the latest languages. 

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6 Weeks
Intermediate
Free
Skills Covered:
Programming skills Machine learning
Certificate

VLSI CAD Part 1: Logic Course

The VLSI CAD Part1: Logic course by Coursera has been designed to focus on computer-aided design (CAD), and its major design tools to create an Application Specific Integrated Circuit (ASIC) or a System on Chip (SoC) design. The course begins by shedding light on the key representations of Boolean logic that make it possible to synthesize and verify gate-level logic in designs. We further move along the design chain from logic to layout.

This course teaches students to understand how these tools work at their fundamental algorithms and data structures levels. The Coursera VLSI CAD Part1: Logic course includes topics like Computational Boolean algebra, logic verification, and logic synthesis.

Furthermore, Coursera’s VLSI CAD Part1: The logic programme is an online learning course that allows the students to train at their own convenience and pace. The course has been offered by the University of Illinois at Urbana-Champaign which is known for its programs, academic excellence, and internationally renowned faculty as well as alumni.

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6 Weeks
Intermediate
Free
Skills Covered:
Knowledge of engineering
Introduction to Cloud Computing

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Certificate

Introduction to Cloud Computing

The Introduction to Cloud computing online course by Coursera has been designed for those who wish to understand the essential characteristics of cloud computing from a business perspective. Students will not only gain foundational knowledge about cloud computing but also learn the necessary skills to become a cloud practitioner. 

The Coursera Introduction to cloud computing training course explores the field of cloud computing by going back to history and also, the cloud-enabled, emerging technology use cases. The course is an introduction to some of the prominent service providers such as Google, IBM, AWS and Microsoft and explores them through case studies. 

Furthermore, the Coursera Introduction to Cloud computing certification course is an online self-paced learning course that allows the students to learn about the various cloud service and deployment models at their own speed and from the comfort of their own homes. Completing this course will earn you a Certificate as well as a cloud computing core IBM digital badge.

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6 Weeks
Beginner
3,369
Skills Covered:
Knowledge of cloud computing

Offered by

Certificate

Big Data Essentials: HDFS, MapReduce and Spark RDD

For candidates looking forward to making a successful career in the big data industry, this certificate course on Big Data Essentials: HDFS, MapReduce and Spark RDD is the best way to get started. This course gives you new tools and reading materials to direct you in the right direction. Technologies like MapReduce, HDFS and Spark are all covered in this certificate by Coursera. The 6 course is of 6 weeks and helps candidates learn the basics of technologies in the Big Data field. It guides you throughout the system internals as well as its applications in the real world.

Candidates can expect to learn about the distributed file system, the reason for their existence and their functions. This course will guide candidates to build a stronger understanding of the big data technology and concepts to better utilize them in their work. The programme focuses on developing skills in learners to learn and use these tools in creating a solution for social networks, finance, telecommunications and other fields.

The Big Data Essentials: HDFS, MapReduce and Spark RDD programme offer relevant assignments that impart practical knowledge and experience to solve the most pressing problems in the field of big data. It presents an opportunity to evaluate the assignments of candidates on a real cluster.

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6 Weeks
Intermediate
Free
Skills Covered:
Knowledge of Python Knowledge of Apache Spark
Cybersecurity Capstone Breach Response Case Studies

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Certificate

Cybersecurity Capstone: Breach Response Case Studies

The use of computer systems to store and share data has led to the threat of cyber-attack and unauthorized access to sensitive data. This has given birth to a new branch in information technology which is named as Cybersecurity. Cybersecurity deals with the practices and processes that are made to protect data, devices, networks, and applications from damage and unofficial access.

The Cybersecurity Capstone: Breach Response Case Studies programme will provide a platform to the candidate, to attain necessary skills to work as a professional research analyst in Cybersecurity. By taking up the course, the participant will be exploring the methodologies related to incident response and the models of the security.

They will be getting insights, to categorise and recognise various important types of attacks and vulnerabilities at their workplace. Also, they will be exploring the breaches that happened in the recent past, to understand the process of identification of the threat and measures taken by the organisation to combat the threat and reduce its risks in future.

The participants will be provided with a project wherein they will be selecting a breach in cyber security, carry out analysis of the timeline of the attack, the effect of an attack on systems, by applying their knowledge and skills. The Cybersecurity Capstone: Breach Response Case Studies training course is for anyone who wants to learn the basics of cybersecurity and gradually attain expertise.  

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6 Weeks
Beginner
4,115
Skills Covered:
Knowledge of Cyber Security
Spatial Data Science and Applications

Offered by

Yonsei University, Seoul via Coursera
Certificate

Spatial Data Science and Applications

Spatial Data Science and Applications certification course is a specialized course for the learners seeking for understanding Data Science and its applications. Programming and analysis are needed everywhere. Every big company today needs employees with skills to operate analysis related to data structure and the study of the whole data format. 

Such need and study have brought a new requirement in today’s operating market which helps in gaining necessary information about various aspects of data structure. Topics like DBMS, SDBMS, HDFS and others are explained thoroughly under this course. With flexible deadlines, this Spatial Data Science and Applications online course is a one-stop destination for the learners seeking proper knowledge under this course. 

The duration of Spatial Data Science and Application training course is 6 weeks and is available for the learners with a genuine interest in the subject. 

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6 Weeks
Intermediate
Free
Skills Covered:
Knowledge of Big Data
Data Structures

Offered by

Certificate

Data Structure

The soul of programming is said to be data structures and algorithms. Data structures aim to hold the data while the algorithms aim to solve the problem using the data. Data structures are the key to the computer algorithms which help the programmers to manage the data efficiently. The perfect selection of data helps to enhance the efficiency of the computer programme.

Computer science in this era is all about sorting and computing from given data. So, it is necessary to have a powerful knowledge about data structure, it will help one deal with different ways of arranging, storing and processing the data. It helps in utilizing maximum space and also decreases the complexity in deletion of data, addition as well as insertion of data.

To be a successful data processor one should acquire all the skills appropriately and should master their skills that will make them stand out of the crowd. Each and every company searches for an employee who has the ability to overcome all the problems and keep up to the needs and the requirements of the company. This is the platform where they can shape their skills for the same.

...Read More
6 Weeks
Intermediate
13,514
Skills Covered:
Programming skills
A Complete Reinforcement Learning System Capstone

Offered by

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

A Complete Reinforcement Learning System (Capstone)

The Reinforcement Learning System (Capstone) certification course is a part of the ‘Reinforcement Learning Specialisation’ programme available on Coursera. This course is the 4th and final course in the series and aims to provide the students with complete practical knowledge on how to carry out Reinforcement Learning solutions in the real world.

In the Reinforcement Learning System (Capstone) online course, students will gain well-rounded and application-based skills that will help them in implementing Reinforcement Learning. They will complete the entire Reinforcement Learning problem-solving process – starting with the formulation of a problem, assessing the appropriate algorithm for the problem, and validating the impacts of the algorithm.

The Reinforcement Learning System (Capstone) programme by Coursera is suited for anyone who is expected to perform RL solutions in their field, along with the knowledge of skills like Machine Learning and Reinforcement Learning. The candidates will delve deep into the formalisation of a problem and how to translate it into an MDP. Finally, they will submit their Parameter Study towards the end of the course.

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6 Weeks
Intermediate
13,514
Skills Covered:
Knowledge of Algorithms Machine learning Knowledge of Artificial Intelligence
Introduction to Computer Vision and Image Processing

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Certificate

Introduction to Computer Vision and Image Processing

The Introduction to Computer Vision and Image Processing by Coursera is the last course in IBM Applied AI Professional Certificate. This Specialization comprises six courses devoted to Computer Vision and its numerous applications across sectors. The certification course takes approximately 15 hours to complete, while the teaching medium is English.

Many industries such as robotics, face detection, and augmented reality employ computer vision and the vast implementations make IIntroduction to Computer Vision and Image Processing course very exciting. The course curriculum will furnish you with essential skills, including OpenCV, Watson, AI, and more.

Furthermore, the Introduction to Computer Vision and Image Processing certification course is offered by IBM (International Business Machines Corporation), a multinational consultancy and technology company headquartered in Armonk, New York. 

The Introduction to Computer Vision and Image Processing programme is a beginner-level course with flexible deadlines. Enjoy a comfortable learning experience with this exciting course in AI and Machine Learning, and get a completion certificate from Coursera.

...Read More
6 Weeks
Beginner
2,480
Skills Covered:
Knowledge of Artificial Intelligence
AWS Computer Vision Getting Started with GluonCV

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Certificate

AWS Computer Vision: Getting Started with GluonCV

The online course in AWS Computer Vision: Getting Started with GluonCV by Coursera is spread out over six weeks, wherein a new module is picked up every week, to focus on computer vision’s various aspects with GluonCV. The programme starts by discussing the basic concepts of computer vision and progresses by providing an overview of machine learning, using the GluonCV toolkit and Apache MXNet to build and train CV models, discussing deep learning concepts, and artificial neural networks. In the last week, the candidates submit a final project where they apply their learnings and visualize the output.

The AWS Computer Vision: Getting Started with GluonCV online course is offered by Amazon Web Services on Coursera, and thus, comprehensively covers the various AWS services like Amazon SageMaker, AWS Deep Learning, Amazon Rekognition and many more. The curriculum provides content through pre-recorded videos, readings, practice quizzes, and flexible deadlines, to help candidates learn at their own pace.

Furthermore, the AWS Computer Vision: Getting Started with GluonCV online programme provides financial aid as well. It will equip the candidates with the knowledge on how to build a computer vision model, how to set up different services, their benefits and limitations.

...Read More
6 Weeks
Beginner
Free
Skills Covered:
Knowledge of deep learning Knowledge of AWS Technology
C for Everyone Structured Programming

Offered by

Certificate

C for Everyone: Structured Programming

The C for Everyone: Structured Programming course by Coursera is the second one in their ‘Coding for Everyone: C and C++ Specialization’ programme. This training is completely self-paced, 100% virtual, and progresses towards an advanced understanding of C and C++. Besides, the deadlines are flexible, and the coursework is in the form of pre-recorded videos. Thus, you will not miss an iota of what is being taught.

The curriculum, created in collaboration with the University of California, Santa Cruz, spans across six weeks, with a practice exercise at the end of every lesson, to help you test the concepts you’ve learnt. The lessons in C will teach you the basics of programming, while the lessons in C++ will develop on those foundational lessons. Moreover, the graded quizzes and assignments with peer feedback will help gauge your expertise even further. 

Furthermore, you will also receive the certification of specialization after you successfully complete the Coursera C for Everyone: Structured Programming programme. The certificate is shareable on LinkedIn, printed Resumes, and CVs. Additionally, Coursera offers financial aid for this course as well.

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6 Weeks
Intermediate
3,369
Skills Covered:
C++ Knowledge of Artificial Intelligence Knowledge of Monte Carlo Method
Combinatorics and Probability

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Certificate

Combinatorics and Probability

Here most standard combinatorial settings are addressed in the Combinatorics and Probability course that can help answer questions of this nature. In particular, this course focuses on improving the ability to differentiate these settings from algorithmic problems in real life. This will assist candidates to apply new knowledge in practice. Besides that recursive counting technique that is necessary for algorithmic implementations is also addressed here.

The Combinatorics and Probability course is part of Introduction to Discrete Mathematics for Computer Science Specialisation. There are total of five courses in it and Combinatorics and Probability is the second one. The language of computer science is known as Discrete Mathematics. In many areas including data science, software engineering and machine learning, one needs to work fluently. Via a fun approach, candidates are introduced to this language. Firstly they will solve several interactive puzzles that are specially designed especially for this online specialisation. Then actual solving methods and significant ideas will be introduced to them. It is sure that candidates will gain a deeper understanding in this way and will appreciate the beauty of the underlying concepts better. Programming examples, projects and problems are integrated into the specialisation in order to get the knowledge closer to IT applications.

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6 Weeks
Beginner
13,514
Skills Covered:
Mathematical skill
Big Data Genes and Medicine

Offered by

Certificate

Big Data, Genes, and Medicine

Big Data, Genes, and Medicine Certification Programme brings carefully picked nuances of Bioinformatics and Health Big Data Science for enhancing the conceptual basics of candidates while providing them expertise and professionals skills in the concerning domain. This course will become an exciting experience for science enthusiasts who are fascinated by the mysteries of human body biology, its genetics and chemistry. These concepts will be related to medicine and Big Data to instil curiosity and consequent knowledge of Big Data in the learners.

Instructors will deal with important concepts related to Big Data analytics which will help them to gain a strong foothold over real datasets, not to forget Next Generation Sequencing data; all in a biological and healthcare context. The course covers a wide array of topics from preparing data for analysis, interpreting the results, visualising them, completing the analysis and ultimately sharing those results.

The curriculum is offered by the State University of New York, which has released this course as a part of its online training programme. Reputed as the largest comprehensive system of education in the US, it has proved itself to have a significant impact on the professional orientation of the learners.

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6 Weeks
Expert
Free
Skills Covered:
Knowledge of genetics

Offered by

Certificate

Big Data Analysis: Hive, Spark SQL, DataFrames and GraphFrames

We are witnessing a phenomenal era, which is digitally powered with technologies flourishing exponentially. With the strong presence of Big Data, computer systems are now capable of deriving acute information and desired results through analysis of this structured and unstructured data, which ultimately forms the ‘big data’. It is also witnessed that such analysis of Big Data is highly relevant and informative for large organisations, businesses and professionals to optimize their performances.

Considered to be information assets, Big Data enables effective decision making, optimizing processes and cost effectiveness in large, medium as well as small organisations. However, to yield the benefits of this high volume, high velocity and high variety of big data, it becomes essential to analyse this big data using various tools and techniques. This is where the knowledge of using Hive, Spark SQL, DataFrames and GraphFrames comes very handy. Analysts engaged in big data analysis are highly in demand and using these tools, one can efficiently analyse the big data to facilitate important decision making and process optimisation in their employer organisations.

The Big Data Analysis: Hive, Spark SQL, DataFrames and GraphFrames online programme offered by Coursera will impart key skills to the participants in using big data analysis tools and pursue their careers in the area of big data analysis. 

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6 Weeks
Expert
Free
Skills Covered:
Knowledge of Apache Spark
Building Arduino Robots and Devices

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Certificate

Building Arduino Robots and Devices

Building Arduino Robots and Devices online course is an extensive, in-depth 6-week study into the process of building gadgets and robots using the state-of-the-art microcontroller, Arduino. The certification course demonstrates the assembly of such devices and bots, along with how to program them to perform specific tasks. 

Coursera developed the Building Arduino Robots and Devices programme specifically for individuals keen in the field of robotics and looking to upskill. Also, the programme is the right choice for those who wish to develop their skills in the field of industrial or home automation, and for anyone involved in the field of advertising or industrial design.

Moreover, candidates will have access to ample reading material, carefully curated by the course developers. Once candidates complete the programme modules and practice assignments, they will be eligible for the much-coveted course completion certificate.

Finally, since the entire Building Arduino Robots and Devices course is committed to practical training, it will be beneficial if you had some of the electronics equipment used in this course handy.

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6 Weeks
Beginner
Free
Skills Covered:
Programming skills Robotic skills
Certificate

State Estimation and Localization for Self-Driving Cars

Coursera offers the Estimation and Localization for Self-Driving Cars certification course in association with the University of Toronto. The certification course introduces students to different sensors for correctly estimating the state and localization of a self-driving vehicle.

Moreover, by the end of the Estimation and Localization for Self-Driving Cars course, you will learn all about Kalman Filters and Iterative Closest Point algorithm with LIDAR. The certification course will also cover least squares, and how to relate GPS with IMUs. You will be able to build models for typical vehicle localization sensors.

Upon course completion, you will become adept in developing a full vehicle state estimator independently. The course material is comprehensive and features quizzes, as well as projects, to assist you in learning with ease.

Lastly, candidates will undertake a final project to complete the Coursera State Estimation and Localization for Self-Driving Cars course. On successful completion, candidates will receive a certificate from the University of Toronto, sharable on LinkedIn profiles or CV.

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6 Weeks
Expert
13,514
Skills Covered:
Programming skills

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