1660 Courses and Certifications

Coursera Courses & Certifications 2025

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Web Design Strategy and Information Architecture

Offered by

Certificate

Web Design: Strategy and Information Architecture

Coursera in collaboration with instructors from various universities and companies provides an array of courses in various fields. These courses include E-learning videos, practice exercises, quizzes and community discussion forums. Coursera in collaboration with California Institute of the Arts has introduced this. Web Design: Strategy and Information Architecture certification course.

The curriculum of the course has been structured for learners who wish to improve their analysis and visual design skills for UX/ UI and take their career in that direction. The course gives learners a comprehensive introduction about the early user experience (UX) challenges faced in conducting research, planning, understanding the user, developing interactive sequences, setting goals and structuring content. 

Through this Web Design: Strategy and Information Architecture training they will develop the required skill set in UI or UX for application and web designing. It has a design-focused approach towards user interface and user experience design. It offers practical, skill-based experience focusing upon the visual communications perspective, rather than marketing or programming alone to enable the learners to strategize better. This course is a part of the UI / UX Design Specialization.

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5 Weeks
Intermediate
3,369
Skills Covered:
Designing skills
Web Design Wireframes to Prototypes

Offered by

Certificate

Web Design Wireframes to Prototypes

The Web Design: Wireframes to Prototypes certification course by Coursera is the continuation of the Web Design: Strategy and Information Architecture course and is the final course in the UI/UX Design Specialization offered by Coursera. In this programme, you will gain knowledge about creating wireframes, high-fidelity mockups, as well as clickable prototypes. 

Created in collaboration with the California Institute of Arts, the Coursera Web Design: Wireframes to Prototypes online course brings to you a design-centric approach for user experience (UX) design and user interface (UI). It offers skill-based, practical instructions and a visual communications perspective, rather than being focused on programming or marketing alone. 

Furthermore, the Coursera Web Design: Wireframes to Prototypes training is a self-paced learning course, built for the convenience of students, that allows them to learn at their own speed and from the comfort of their own space. The students can also earn a shareable certificate after completing the course successfully.

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5 Weeks
Intermediate
3,369
Skills Covered:
Knowledge of Web Analytics
Understanding User Needs

Offered by

Certificate

Understanding User Needs

The Understanding User Needs certification course focuses on techniques essential to interact with existing or potential users, and retrieve information about – what is it they do currently, love, hate, need, and more. 

The objective of the certification course is to examine and understand human behaviour and capabilities, as they relate to UX design. That is a crucial part of the process because to design effective interactive systems; you need to gauge the capabilities of the people who will be using these systems.

The Understanding User Needs training course is part of the User Experience Research and Design specialization programme being  offered by the University of Michigan. It is the second of six courses in this series. Learners can complete the this online course in approximately ten hours, after which they can buy the course completion certificate and attach it to their CV/Resume. 

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5 Weeks
Beginner
3,369
Skills Covered:
Designing skills

Offered by

Certificate

Create High-Fidelity Designs and Prototypes in Figma

The Create High-Fidelity Designs and Prototypes in Figma certification course on Coursera comprises a valuable curriculum if you’re looking to apply for entry-level UX (user experience) design jobs. This 100% online course is the fifth part of the Google UX Design training offered by Google. 

Here, you will receive step-by-step tutorials to understand and create high-fidelity mockups or designs in Figma, a widely-used design tool. This is a beginner-level course that takes approximately 19 hours to finish.

Progressing across the Create High-Fidelity Designs and Prototypes certification syllabus, you will turn your designs into interactive prototypes that work like a completed product. You will also conduct extensive research to gather feedback on your designs and improve accordingly. Finally, you will get the essential skills to share designs with development teams and showcase your work via a professional UX CV. 

Moreover, Google’s present UX researchers and designers will teach you the Create High-Fidelity Designs and Prototypes online course. They will use various learning tools, along with hands-on activities to help you simulate real-time UX design circumstances. You can also pay for and earn the completion certificate. 

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5 Weeks
Beginner
3,384
Skills Covered:
Designing skills
Certificate

Introduction to Blockchain Technologies

The Introduction to Blockchain Technologies programme by Coursera will familiarise you with the essential skills and principles of Blockchain technology. Coursera offers the certification course in association with the world’s leading business school – INSEAD. 

The Introduction to Blockchain Technologies course primarily covers the fundamentals of Blockchain technology and strengthens your understanding, as well as the knowledge, of why the technology has become so revolutionary. Furthermore, the course commences with understanding the limitations of the use of the internet in business and other economic activity. 

The Introduction to Blockchain Technologies online course further enhances the essential concepts of Blockchain such as mining, public-key cryptography, proof-of-work, hashing, and double-spend problems. The online course also covers the common challenges faced during the development of Blockchain and the seven fundamental design principles of the technology. 

Besides, a certification in Blockchain also provides a unique opportunity to meet the key players who work in the Blockchain environment. Therefore, the Introduction to Blockchain Technologies course will not only equip you with skills to thoroughly understand the concept of Blockchain but also, to teach others about the technology with ease. 

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5 Weeks
Beginner
13,514
Skills Covered:
Knowledge of Blockchain
Certificate

Introduction to Blockchain for Financial Services

The online course, Introduction to Blockchain for Financial Services by Coursera, is an introductory primer for blockchain technology. It is the first course of the four-part Blockchain Revolution in Financial Services Specialisation programme, offered by INSEAD, which is the world’s leading business school. This course aims to explain the various Internet limitations and how blockchain can act as a revolutionary medium to change the way we network and transact. 

The Introduction to Blockchain for Financial Services online course will introduce learners to key concepts like the Internet’s drawbacks when used for business, how Blockchain can overcome these, Blockchain’s design principles, and its ecosystem. Further, students will learn about how Blockchain uses code to establish trust.

The Introduction to Blockchain for Financial Services programme is offered by Coursera and presents students with the opportunity to gain knowledge, firsthand from industry experts. The syllabus consists of five modules, one for each week. Students will get access to pre-recorded video lectures, numerous practice assignments, and readings, that will help them learn at their own pace. Upon satisfactory completion, they will also earn a shareable e-certificate to showcase their learned skills. 

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5 Weeks
Beginner
13,514
Skills Covered:
Knowledge of Blockchain
Blockchain Foundations and Use Cases

Offered by

ConsenSys Academy via Coursera
Certificate

Blockchain: Foundations and Use Cases

This training course Blockchain: Foundations and Use Cases offered by ConsenSys Academy is the ultimate prologue of blockchain, a startup apparatus, for all types of the audience; be them developers, or non-developers. Apart from technology, this course is also going to throw light on the philosophies and doctrines behind decentralization, and the reasons behind the buzz created by it.

Throughout the initial three modules, the learners will have an introduction to blockchain, as well as the technology used behind it. The level of learning will be raised in the fourth module, as the learners will move past bitcoin, and dig deeper and learn about the blockchain of next generation, Ethereum. This will act as an introduction to modern blockchains and their capabilities, to the candidates.

The use cases appearing in the last module are real-time manifestations, which are taken from the businesses in the startup portfolio of ConsenSys’. We feel that we are perfectly positioned and suited to introduce you, to provide you with relevant as well as helpful backstage views at the companies and people employed in this domain to aid you in having a proper and superior understanding of the commerce side of blockchains.

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5 Weeks
Beginner
Free
Skills Covered:
Knowledge of Blockchain

Offered by

Certificate

Developing AI Applications on Azure

The Developing AI Applications on Azure certification by Coursera will equip users to create and work on an Azure Machine Learning Workspace, all to create their models and test run them on the cloud. 

The learners delve into algorithms, types of machine learning. They’ll learn the practical applications of Python for machine learning solutions, as well as certain scientific ecosystem packages which will help you implement machine learning. Along with standardized approaches to data analytic, they’ll learn Microsoft's Team Data Science Approach. 

Another perk of the Developing AI Applications on Azure certification course is that the learners will familiarize themselves with pre-trained and managed machine learning which is offered as REST API's in their suite of cognitive services. Other concepts include facial recognition API, sentiment analysis with the natural language service, implementation of solutions via the computer vision API. 

Created by Learnquest and available on Coursera, the Developing AI Applications on Azure certification course will take the learners through Artificial Intelligence, Machine learning, Data Analytics, Python programming, etc. Hands-on exercises will polish the AI skills of candidates and also equip them to deploy their machine learning models.

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5 Weeks
Expert
Free
Skills Covered:
Knowledge of Python Data science knowledge Knowledge of cloud computing
Building AI Applications with Watson APIs

Offered by

Certificate

Building AI Applications with Watson APIs

The Building AI Applications with Watson APIs programme certification by Coursera will equip the learner with the skills to create applications that can leverage multiple Watson AI services (Discovery, Assistant, Speech to Text, and Text to Speech). They’ll become proficient in incorporating Watson services as well as in building interactive data retrieval systems with Discovery + Assistant.

The Building AI Applications with Watson APIs certification course which is developed by IBM and offered in the Coursera platform, gives the candidates exposure towards learning varied skills namely, Chatbot, Watson AI, Machine Learning, Python Programming and Artificial Intelligence. The programme is imparted through different ways namely videos, assignments, quizzes, recorded content and exercises. 

The Building AI Applications with Watson APIs certification by Coursera enables candidates to learn the best practices prevailing in the industry for combining Watson services via Watson Assistant and Watson Discovery. 

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5 Weeks
Intermediate
3,202
Skills Covered:
Computer skills
Artificial Intelligence Fundamentals for Non-Data Scientists

Offered by

Certificate

AI Fundamentals for Non-Data Scientists

AI Fundamentals for Non-Data Scientists is an online certification course that helps non-data scientists to get familiar with the fundamental concepts of artificial intelligence. The course can be taken by anyone interested in exploring artificial intelligence and can be easily finished within about 9 hours. AI Fundamentals for Non-Data Scientists Certification Syllabus provide the learners with a sheer glance into the basics of machine learning and artificial intelligence. 

The AI Fundamentals for Non-Data Scientists Certification Course, administered by Coursera, will also provide the learners with a shareable certification at the end of the online course. During the online programme, the learners will also have the opportunity to watch and understand the exclusive interview with industry leaders of reputed companies. AI Fundamentals for Non-Data Scientists Certification by Coursera, offered by the University of Pennsylvania, is the first course in the four programmes of AI For Business Specialization. 

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5 Weeks
1,699
Skills Covered:
Knowledge of Artificial Intelligence Financial Management
Certificate

Modern Robotics, Course 1 Foundations of Robot Motion

In the present age of technology, where the world is moving at a very fast pace, the advances in technology with the help of robotics seem to have never-ending horizons if taken up as a career. The course is for people who are inquisitive about robots and are willing to take-up robotics as a career. It is for someone who is intending to put efforts in order to learn the basics of mathematical modelling techniques that are applied in all subsidiary fields of robotics.

The course Modern Robotics, Course1: Foundations of Robot Motion is a part of specialisation- Modern Robotics: Mechanics, planning, and control that consist of six short courses that prepare the student for taking up advanced study in robotics or pursue robotics as a profession.

In the course 1-Foundation of Robot motion, the participant will learn about the basic material required for the robot configuration in robots with closed chains and in robots with serial mechanisms.

The participant will be building a library having a collection of robotics software in various languages like MATLAB, Python, and Mathematica, etc. They will also be making the use of robotic simulator V-REP on the cross-platform, which will assist them to create DIY (Do it yourself) robots at their home with no cost or investment involved.

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5 Weeks
Intermediate
3,369
Skills Covered:
Robotic skills
Certificate

Osteoarchaeology: The Truth in Our Bones

Human osteoarchaeology is the research of human skeletons discovered from archaeological monuments. It can teach us about people's health, culture, food, mortality, and physicality in history. It may also bring light to genetic relationships and human mobility. The Osteoarchaeology: The Truth in Our Bones certification course was created by Leiden University and is taught by Andrea Waters-Rist - Assistant Professor through Coursera.

Osteoarchaeology: The Truth in Our Bones online course contains 27 hours of detailed study resources that assist students in developing skills for analyzing human skeletons and using their knowledge to rebuild the lives of individuals who have previously lived. Osteoarchaeology: The Truth in Our Bones online training discusses topics like paleopathology, paleodiet, death estimation, sex estimation, and subadult age estimation and provides an understanding of all the aspects of the skeleton that can provide information about different facets of life including diseases, injuries, activities, migration and more.

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5 Weeks
Beginner
Free
Skills Covered:
Knowledge of science
Certificate

Cloud Computing Concepts, Part 1

Cloud Computing Concept is one of the major courses in the Cloud Computing Specialization. It is a one stop destination for someone who needs to learn about the whole Cloud Computing System. Offered by Illinois, this programme is ideally for those candidates who possess knowledge and experience of C++ language programming. This Cloud Computing Concepts, Part 1 training course is highly organised into weekly lectures to ease the syllabus and help learners to learn easily through practical assignments and different reading classes. Learners also learn various skills such as Distributed algorithms, C++ Advanced, Cloud Computing and Distributed Computing. 

With proper description of the topics, the Cloud Computing Concepts, Part 1 certification course also provides basic knowledge of Cloud Computing Concepts. It’s very convenient for learners to start their career in Cloud Computing from scratch. This course also gives an overview and home assignments in every week’s classes for learners to understand better. The programme gives an e-certificate to the candidates on the completion of the programme which can be further shared via different platforms namely, LinkedIn and others. 

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5 Weeks
Beginner
3,369
Skills Covered:
C++ Knowledge of Algorithms Knowledge of cloud computing

Offered by

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
1,699
Skills Covered:
Knowledge of cloud computing

Offered by

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
1,699
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

Offered by

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
Applied Data Science Capstone

Offered by

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
3,384
Skills Covered:
Data science knowledge Knowledge of Python

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
Cybersecurity Compliance Framework and System Administration

Offered by

Certificate

Cybersecurity Compliance Framework & System Administration

In this data-driven world, cybercrimes are not unknown to anybody. Cyber offenders seamlessly carry out crimes beyond jurisdictions and on an online interface that is likely to trap anybody. Thus, cybersecurity mandates prove to be a golden weapon at the hands of companies and organisations with huge and sensitive databases. Cybersecurity professionals need to be a step further than offenders and henceforth require holistic knowledge of concepts. 

Cybersecurity Compliance Framework & System Administration Certification by Coursera fulfills that requirement and gives course participants the background to understand industry standards and key cybersecurity compliances. The knowledge provided throughout will prove to be beneficial for learners irrespective of the role they wish to partake in an organisation.

Candidates will get a strong grasp of the basic commands for a user and server administration related to security. Endpoint security and patch management have also been sufficiently dealt with. Finally, learners will know more about the in-depth skills around encryption and cryptography to understand their effect on the software. The intended audience of this Cybersecurity Compliance Framework & System Administration training course comprises those wishing to acquire a basic understanding of Compliance, Security Frameworks, endpoint management, cryptography, or encryption.

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5 Weeks
Intermediate
3,384
Skills Covered:
Knowledge of Cyber Security
Introduction to Cybersecurity Tools and Cyber Attacks

Offered by

Certificate

Introduction to Cybersecurity Tools & Cyber Attacks

The Introduction to Cybersecurity Tools & Cyber Attacks certification course is an online programme that revolves around the topics of cybersecurity. Some of the major topics of the course include terminologies used in cybersecurity, various tools and techniques used in real life, etc. The programme can be availed at zero cost in the audit mode. The course material can be accessed for free along with all the lessons available in the course. 

The Introduction to Cybersecurity Tools & Cyber Attacks online course is a beginners' level programme and does not require any specific academic requirements to get started with the course. The self-paced mode allows the user to understand the concepts thoroughly by giving them the power to choose their study timings with no deadlines to learn from the course as per their requirements. The Introduction to Cybersecurity Tools & Cyber Attacks certification syllabus will take up to 11 hours of the students' time to complete the course. The programme is a hundred percent online training and also provides shareable certification at the end of the course. 

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5 Weeks
Beginner
3,384
Skills Covered:
Knowledge of Cyber Security
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
Introduction to Deep Learning and Neural Networks with Keras

Offered by

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
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

Offered by

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
Using Machine Learning in Trading and Finance

Offered by

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
3,384
Skills Covered:
Machine learning
Certificate

Java Programming Solving Problems with Software

Java is a popular programming language that offers a lot of opportunities to aspiring coders wanting to build a career for themselves. This course by Coursera brought in association with Duke University, is exactly what one needs.

Java Programming: Solving Problems with Software is although a single course but can be applied to use for Certificate Programs or Specialisation courses all the same because of its diverse syllabus on a beginner level. The candidates will learn a lot from the contents of the course like developing and debugging programs and designing algorithms.

It teaches problem-solving techniques that come in very handy in jobs thus providing essential industry-relevant skills and preparing candidates to become the best in their leagues. As the world etches closer to a highly digitized reality being in the coding business will profit the candidates largely, and this course is the way to it.

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5 Weeks
Beginner
3,369
Skills Covered:
Java Problem Solving Ability Knowledge of Algorithms
Certificate

Java Programming Arrays, Lists, and Structured Data

Java language is one of the most preferred and popular languages used worldwide. Offered by Duke University, the Java Programming: Arrays, Lists, and Structured Data course certification programme by Coursera, prepares the candidate to master the Java language and all the other elements associated with it. 

The program teaches several skills such as Java Programming, Hash Table, Data Structure and Cryptography. Once completed, candidates will get a shareable certificate. It can be shared electronically ahead. The programme is also available in different languages namely, Korean and English. The candidates will become master in Java programming language and learn to read and write data, solve different problems, manipulate and store data and perform many other things that are needed for creating new data structures. 

This is a 14-hour certification course that’s provided 100 percent online. Candidates will get study material in the form of recordings, online video lectures, quizzes, and assignments.

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5 Weeks
Beginner
3,369
Skills Covered:
Java
Certificate

Java Programming: Principles of Software Design

Java is one of the well-known programming languages in the world, both in terms of developing applications and software, as well as web pages and websites. To create programming solutions of the codings, candidates need an absolute grip over the concepts of Java Interface, through excellent course materials and real world projects.

Java Programming: Principles of Software Designing by Coursera brings all these features to the candidates and more. It not only teaches the candidates the know-how of developing software but also what it actually takes to build an impressive one, that is, logical and creative thinking and design.

There is more to Java than learning and implementing the codes but there are only a handful of cyber enthusiasts in the cyber world who can comprehend that while also making the most benefits from it. This course offers exactly that to the candidates in the form of a hidden gem for Java Programmers.

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5 Weeks
Beginner
3,369
Skills Covered:
Java
Certificate

Java Programming: Build a Recommendation System

Java Programming: Build a Recommendation System certification is a 5-week long programme that requires only 5 hours of a participant’s time to finish off. Also, this course is part 5 of the Java Programming and Software Engineering Fundamentals Specialization. If candidates wonder a lot regarding how Netflix or Amazon decides to recommend movies or products to their user bases, then this course is a must for them.

The Java Programming: Build a Recommendation System training will help in creating recommender systems. Also, the participants will work with movie’s data that includes reviews, and customer ratings but these can be applied to restaurants, books or more. Candidates after course completion can with flair write answers to the questions based on data including what kind of items should be recommended to different user bases.

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5 Weeks
Intermediate
Skills Covered:
Java

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