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Software Architecture for the Internet of Things

Offered by

Certificate

Software Architecture for the Internet of Things

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

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

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

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Certificate

Embedded Software and Hardware Architecture

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

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

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3 Weeks
Intermediate
2,699

Offered by

Certificate

e-Learning Course on Railway Financing

3 Weeks
Beginner
Free
Machine Learning

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Certificate

Supervised Machine Learning: Regression and Classification

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

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

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

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

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Certificate

Probabilistic Graphical Models 3: Learning

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

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

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

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

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Certificate

Machine Learning Rapid Prototyping with IBM Watson Studio

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

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3 Weeks
Intermediate
Skills Covered:
Machine learning
Certificate

Advanced Recommender Systems

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

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

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

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3 Weeks
Intermediate
Skills Covered:
Mathematical skill

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Certificate

End-to-End Machine Learning with TensorFlow on GCP

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

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

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

Machine Learning for All

3 Weeks
Beginner
Free
Machine Learning Introduction for Everyone

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Certificate

Machine Learning Introduction for Everyone

3 Weeks
Beginner
Free
Data Engineering and Machine Learning using Spark

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Certificate

Data Engineering and Machine Learning using Spark

3 Weeks
Beginner
Free
Regression Models

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Certificate

Regression Models

3 Weeks
4,117
Certificate

Machine Learning Algorithms

3 Weeks
Free
Build an Online Notes App HTML CSS Bootstrap PHP MySQL and AJAX

Offered by

Certificate

Build an Online Notes App (HTML, CSS, Bootstrap, PHP, MySQL and AJAX)

One of the major factors driving the market growth is the higher use of portable devices and the rise of the customer base for the e-commerce business. Moreover, continuous growth in enterprise applications increased focus on apps for health and fitness, and high installations and in-app purchases for gaming apps all fuels the market's progress. Build an Online Notes App (HTML, CSS, Bootstrap, PHP, MySQL, and AJAX) online course is intended for people who wish to leverage the concepts of the app and web development to create productive and efficient applications like online notes applications.

Build an Online Notes App (HTML, CSS, Bootstrap, PHP, MySQL, and AJAX) certification course is created by Development Island, a British educational firm that aims at providing digital learning courses. Build an Online Notes App (HTML, CSS, Bootstrap, PHP, MySQL, and AJAX) online training includes 30 hours of extensive study material covering app development topics such as app logics, app skeletons, login code structure, lost password code, note management, data management, load, create, edit, and delete, among other things.

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3 Weeks
Skills Covered:
Knowledge of CSS Knowledge of Ajax Web application development skills
Delivery Problem

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Certificate

Delivery Problem

3 Weeks
Beginner
6,638
Certificate

CS50's Introduction to Programming with Scratch

3 Weeks
Beginner
Free
Certificate

Start a CoderDojo Club

3 Weeks
Free
Introduction to z OS Commands and Panels on IBM Z

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IBM via Edx
Certificate

Introduction to z/OS Commands and Panels on IBM Z

3 Weeks
Beginner
Free
Common Business Oriented Language Programming with VSCode

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Certificate

COBOL Programming with VSCode

3 Weeks
Beginner
Free
Certificate

Prepare to Run a Code Club

3 Weeks
Free

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