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Software Architecture for the Internet of Things

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Certificate

Software Architecture for the Internet of Things

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

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

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

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Certificate

Embedded Software and Hardware Architecture

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

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

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3 Weeks
Intermediate
2,699

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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
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
Certificate

Engineering the Future: Creating the Amazing

3 Weeks
Beginner
4,450
Russian Invasion of Ukraine Teach Out

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Certificate

Russian Invasion of Ukraine Teach-Out

3 Weeks
Beginner
Terrorism and Counterterrorism An Introduction

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Certificate

Terrorism and Counterterrorism An Introduction

3 Weeks
Beginner
Free
Culture and Law The East Asian Perspective

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Certificate

Culture and Law The East Asian Perspective

3 Weeks
Beginner
Free
Python Project for Data Engineering

Offered by

Certificate

Python Project for Data Engineering

The Python Project for Data Engineering certification course, developed by IBM Skills Network and taught by Ramesh Sannareddy, a subject matter expert in data engineering, and Joseph Santarcangelo, a Ph.D., data scientist at IBM, is made available by Coursera, which is intended for participants who want to evaluate their expertise by using web scraping and extracting data with APIs, all with the help of numerous hands-on experiments.

Python Project for Data Engineering online classes provides 9 hours of prerecorded learning materials with an emphasis on assisting participants in obtaining the knowledge necessary to apply fundamental Python abilities by utilizing various data collection and data processing strategies. The Python Project for Data Engineering online course covers subjects such as Watson Studio, Jupyter notebooks, and API functions as well as demonstrates how to extract data from various file formats, change it into particular datatypes, and then load it into a particular source for analysis.

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3 Weeks
Intermediate
1,699
Skills Covered:
Knowledge of Python
Certificate

Economics of Money and Banking

The Economics of Money and Banking online course by Coursera is a comprehensive 3-week study into the process of bringing about new theories in economics. The course teaches economic thinking by revisiting and updating many of the forgotten tenets of monetary thought which have recently become relevant again.

The Economics of Money and Banking programme focuses heavily on the dealers in money markets and capital markets – as they are the leading profit-seeking distributors of market liquidity to the novel system of market-based credit. Additionally, the training course features flexible deadlines, which enables you to tackle the course at your pace and convenience.

You need to complete all the modules in the Economics of Money and Banking training programme and maintain the minimum score requirements in practice tests and exams to be eligible for the course completion certificate. 

Moreover, Coursera and Columbia University will provide the course completion certificate. This course completion certificate will be displayed on your Coursera accomplishment page. You can share the certificate from this page to your LinkedIn profile and resume.

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3 Weeks
Free
Skills Covered:
Financial knowledge

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Certificate

Engagement Banking

3 Weeks
Beginner
Free
Certificate

An Introduction to Interactive Programming in Python Part 1

The Introduction to Interactive Programming in Python course is offered by Coursera to give a better understanding of programming with the Python platform and their relative benefits with better development of programs in inbuilt devices and mobile platforms. The platform of python is robust, simple, and responsive inbuilt data in some type of functions. The programme invites every aspirant to get brighter career opportunities using python programming.

Programming with Python is in-demand nowadays due to its inbuilt environment and responsive platform. Programming with python is secured, robust, and simple. Therefore the programming has many built applications that are running in every operating system vigorously. The programming experience with python has many added advantages like data integrity, prevention of data redundancy, and authorization as well. So organizations are looking forward to making python more advanceable with the present technological advancement.

The course is offered by Coursera-an online digital learning platform with certification and many more learning benefits. The learning experience with Coursera made many learners get skilled and self-learning with flexible options. The opportunities with Coursera learnings have increased drastically within the very short course time. Therefore learning this from Coursera can be helpful in increasing career opportunities.

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3 Weeks
3,369
Skills Covered:
Programming skills Knowledge of Python
Certificate

Scratch to Python: Moving from Block- to Text-based Programming

Scratch to Python: Moving from Block- to Text-based Programming certification is a one-month course designed by Raspberry Pi Foundation, National Centre for Computing Education, and is certified by FutureLearn. The main aim of this course is to help learners make a transition from block to text-based programming. The online course will teach transfer the programming and thinking skills of Scratch language to Python. a text-based programming language.

The Scratch to Python: Moving from Block- to Text-based Programming certification syllabus will cover fundamental topics like text-based programming skills, understanding error messages and debugging the code. The course will explain the real power of text-based programming and provide the learner with the desired tools to support their transition. The most interesting part of this course is that this will guide the participants on the different approaches that will enable them to enhance the coding with kids.

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3 Weeks
Skills Covered:
Knowledge of Python
Applied Calculus with Python

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Certificate

Applied Calculus with Python

3 Weeks
Intermediate
Free

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