4053 Courses and Certifications

Online IT Software Courses & Certifications

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Certificate

Introduction to Architecting Smart IoT Devices

Introduction to Architecting Smart IoT Devices online certification is designed by EIT Digital and taught by Martin Timmerman - Professor, which is delivered by Coursera for learners who want to master the strategies and techniques utilized for architecting IoT devices. The goal of the Introduction to Architecting Smart IoT Devices online course by Coursera is to assist learners to acquire the knowledge of the features of embedded systems.

Introduction to Architecting Smart IoT Devices online classes incorporate 2 weeks of lectures that cover everything from the basics of the internet of things to the foundations of a robust embedded systems domain. With this course, learners will also be taught about system lifecycle, system modeling, software failures, hardware failures, design patterns, code generation, hacking, traceability matrix, Shannon's principle, and more.

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3 Weeks
Beginner
2,699
Internet of Things System Architecture Design and Evaluation

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Certificate

IoT System Architecture Design and Evaluation

3 Weeks
Beginner
Free

Offered by

Certificate

Artificial Intelligence Algorithms Models and Limitations

The  Artificial Intelligence Algorithms Models and Limitations certification course imparts online knowledge to the enrolled students through the platform Coursera. This is a beginner’s level programme designed for students who are keen on understanding the concepts related to machine learning and artificial intelligence. 

The participant of the course does not require to have any work experience for this course and it is open to everyone who is interested. The course revolves around the topics of machine learning, its limitations, and ethical use, etc. The Artificial Intelligence Algorithms Models and Limitations certification syllabus includes four modules that have around three to five video lectures in every module along with practice exercises and additional readings. 

The online training is a self-paced course and does not restrict any student with regards to attendance, timings, or submission deadlines. The Artificial Intelligence Algorithms Models and Limitations online course also provides a course completion certificate when the student completes all the graded quizzes and assignments.

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3 Weeks
Beginner
3,384
Skills Covered:
Knowledge of Algorithms Knowledge of Artificial Intelligence
Certificate

Population Health: Responsible Data Analysis

3 Weeks
Beginner
Free
Certificate

Making Sense of Data in The Media

3 Weeks
Intermediate
Free

Offered by

Certificate

Oracle SQL Practice Course

3 Weeks
Intermediate
Free

Offered by

Certificate

Enterprise Database Migration

Since moving existing workloads to the cloud is a challenging step in an enterprise's journey towards digital transformation, Enterprise Database Migration Certification is required for converting an on-premises enterprise application to run in the cloud or updating with the greatest use of cloud-native technology.

Participants move databases to Google Cloud while utilising a variety of services during Enterprise Database Migration Training which combines presentations, demos, and hands-on labs. 

The Google-developed Enterprise Database Migration course is a suggested approach for transferring apps to the cloud. The four steps of this technique are Assess, Plan, Deploy, and Optimise. In this course, you will learn about these steps and the tasks you should complete in each one. 

All the eligible students will get an Enterprise Database Migration certification by Coursera which is offered by Google Cloud.

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3 Weeks
Intermediate
3,277
Specialized Models Time Series and Survival Analysis

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Certificate

Specialized Models: Time Series and Survival Analysis

By taking up the Specialized Models: Time Series and Survival Analysis online course the students will be working on the ways to identify the modelling challenges that are common within the domain of time series data. The course will further be helping to understand the process of how trends are gauged and accessed in a time series of data. In the Specialized Models: Time Series and Survival Analysis certification syllabus the students will be covering chapters on- Identifying Nonstationarity, Common Transformations, Smoothing Moving Averages, Time Series Smoothing, Deep Learning Notebook, Survival Analysis and Censoring and others. The online course on Specialized Models: Time Series and Survival Analysis by Coursera will be elaborating on the domains of “time-series data” and will be working on its applications.

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3 Weeks
Intermediate
Free
Skills Covered:
Knowledge of deep learning
AI Capstone Project with Deep Learning

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Certificate

AI Capstone Project with Deep Learning

The AI Capstone Project with Deep Learning certification course provides an advanced level of training to all its participants. The programme is within the reach of the students at no cost as it can be accessed for free in the audit mode. The course is made accessible to every aspirant through the platform Coursera. Students who enrol for this hundred per cent online training will be able to gain a deep understanding of AI. 

The course revolves around the topics of preprocessing data, building a model, validity of a model, etc. The programme is a part of a course named IBM AI Engineering that is also a Coursera programme and is in association with IBM. The curriculum of the AI Capstone Project with Deep Learning online course is managed by two industry experts that will help the students understand the concepts. 

The course material of the subject also provides hands-on experience through projects. Along with the projects, it includes quizzes, assignments, practises exercises, etc. The course does not have any restrictions with respect to admission eligibility criteria, deadlines, or attendance. The content of the AI Capstone Project with the Deep Learning certification syllabus is divided into 3 weeks and can be completely finished in around 5 hours. If the student is able to complete the course in the fixed time he or she will be able to achieve a certificate at the end of the programme.

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3 Weeks
Expert
3,384
Skills Covered:
Machine learning Knowledge of Artificial Intelligence Knowledge of Python Knowledge of Algorithms
Cloud Operations on Amazon Web Services

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Certificate

Cloud Operations on AWS

3 Weeks
Beginner
Free
Certificate

Big Data Analysis with Scala and Spark

Big Data Analysis with Scala and Spark is an online course offered by Coursera that has been taken by 102,416 learners so far. The certificate programme is part of the 5-course Functional Programming in Scala Specialization which is administered by cole Polytechnique Fédérale de Lausanne (EPFL). Big Data Analysis with Scala and Spark Certification Course is prepared and delivered by Prof. Heather Miller who is an assistant professor at Carnegie Mellon University. 

Offered by Coursera, Big Data Analysis with Scala and Spark Training will provide a thorough understanding of big data analysis with the help of Spark and Scala, Scala Programming, SQL, Big Data, Apache Spark, the programming model of Spark, and many more.  Big Data Analysis with Scala and Spark Certification by Coursera will also provide a practical understanding of Spark and Scala with hands-on examples. 

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3 Weeks
Intermediate
1,699
Skills Covered:
Programming skills Knowledge of Apache Spark Knowledge of Big Data SQL knowledge
Certificate

Perform data science with Azure Databricks

Performing data science with Azure Databricks requires about 3 weeks to complete. Microsoft is the associate of Coursera in designing and delivering the online programme. This certification is a sub-programme in the five-course umbrella programme of the Microsoft Azure Data Scientist Associate (DP-100) Professional Certificate. As experienced and expert professionals prepare the programme at Microsoft, the learners can have intensive training on data science processes with Azure Databricks, Databricks Azure, Azure Spark and Apache Spark. 

Perform data science with Azure Databricks Certification Course, offered by Coursera, an intermediate-level programme. The learners of this programme should have experience with using  Python for data exploration and machine learning models with open-source frameworks, such as TensorFlow, Scikit-Learn and  PyTorch. Perform data science with Azure Databricks Certification by Coursera can be taken and covered at the learners’ pace. 

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3 Weeks
Intermediate
1,699
Skills Covered:
Data science knowledge Knowledge of Apache Spark
Certificate

Advanced Modeling for Discrete Optimization

In this global economy, every business organisation needs to plan their strategies for the future regarding their production storage, and transportation and schedule them according to time needs. These scheduling and strategizing processes are extremely complex, for which computer-based optimisation techniques are the best ways to gain viable solutions. For this, the companies search for specialists who can easily solve their problems by using these computer techniques from this Advanced Modelling for Discrete Optimization online course.

The Advanced Modelling for Discrete Optimization certification course by Coursera is a perfect platform for candidates who want to pursue their careers in this field. The programme is offered by The University of Melbourne and The Chinese University of Hong Kong.

This course is made to focus on debugging and improving models in predicates and to teach the advanced scheduling and packaging of problems. It will train the candidates to master their skills in Modelling for Discrete Optimization and make them ready for the commercial world. The Advanced Modelling for Discrete Optimization training course will help them brush up on their skills and master them by standing out from the competition.

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3 Weeks
Intermediate
Free
Skills Covered:
Computer skills
Hypothesis Driven Development

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Certificate

Hypothesis Driven Development

3 Weeks
6,638
Android App Components - Intents, Activities, and Broadcast Receivers

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Certificate

Android App Components - Intents, Activities, and Broadcast Receivers

Today, we live in the Information Age, where the growth of information and technology is exponential. World over, the telecom sector has observed an unfathomable growth. The number of mobile phone users has been increasing significantly, which includes a large chunk of smartphone users. Smartphones, a prime symbol of today’s technological era, allow us to communicate efficiently and provide access to information in a jiffy. All this is facilitated by mobile applications, most commonly known as apps, which have become an indispensable part of our lives today.

Android Apps have acquired an important share in the mobile app market. This is majorly due to its simple, user-friendly and highly productive characteristics. Being an open source, the Android platform provides plenty of opportunities for developers to create innovative apps with minimum cost. This is the reason why Android app development serves to be a lucrative option among mobile app developers.

The Android App Components- Intents, Activities and Broadcast Receivers Offerings certification course by Coursera is specifically designed for aspiring as well as existing developers seeking to gain learning on core components of Android Apps. The course will provide in-depth learning of Android Intents, Activities and Broadcast Receivers, which form the core components of android apps. Participants will also be given exposure to fundamentals of Java I/O, Git basics and concurrent programming. The Android App Components- Intents, Activities and Broadcast Receivers Offerings certification course will be delivered through 100% online mode with video lectures, discussions, readings and assignments by excellent professors and scientists.

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3 Weeks
3,369
Skills Covered:
Java Knowledge of Android Software Development Programming skills
Continuous Integration

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Certificate

Continuous Integration

3 Weeks
Intermediate
Free
Software Developer Career Guide and Interview Preparation

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Certificate

Open Source Software Development Methods

Open source community projects produce open source software using a technique known as an open source development methodology. Open source software is designed in a manner that makes it available to everyone. These software products come with their source code and can be modified and improved upon underneath an open-source license. The Open Source Software Development Methods online certification was designed by The Linux Foundation and is delivered by Coursera with instruction provided by Jerry Cooperstein, a Certified Instructor.

 Open Source Software Development Methods online course aims to teach the students about the best practices, how to promote diversity in open source software, and how to work in open source projects successfully by obtaining a lot of practical understanding. Open Source Software Development Methods online classes also teach about the principles of proprietary software, open source software, OSS licensing, continuous integration, pragmatism, idealism, and more.

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3 Weeks
Beginner
1,699
Skills Covered:
Software development skills Knowledge of Linux

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Certificate

Test-Driven Development Overview

The Test-Driven Development Overview certification course is offered online by Coursera in association with Learn Quest. The programme covers the topics of TDD or test-driven development, what is it, where it needs to be applied, and how it should be applied, etc. The course is a self-paced programme that allows students to pursue the course on their own terms and conditions. Since the Test-Driven Development Overview online course includes Python programming, it demands that students have a basic understanding of the same. 

The programme includes study materials within the course, such as video sessions, readings, practice papers, quizzes, and assessments, etc. The Test-Driven Development can be completed in around 14 hours. The programme also offers certification upon completing the course by the students if they have subscribed to the course.   

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3 Weeks
Intermediate
3,384
Skills Covered:
Programming skills Knowledge of Python
Intel Network Academy - Network Transformation 102

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Certificate

Intel® Network Academy - Network Transformation 102

The Intel® Network Academy - Network Transformation 102 programme is a comprehensive four-week training course on network transformation. In this programme, we will be covering the topics belonging to areas of network functions virtualisation (NFV), software-defined infrastructure (SDI), software-defined networking (SDN), and beyond.

Intel® Network Academy - Network Transformation 102 course also covers topics such as cryptography, hyper scan technology, and VNF operations & development. Moreover, you will also dive into the benefits of Intel software and hardware and discover how to accelerate compute-intensive processes using Intel® QuickAssist Technology (Intel® QAT).

Besides, the Intel® Network Academy - Network Transformation 102 training will also cover other open sources standards like DPDK and FD.io. The course material will be made available through video lectures mentored by expert faculty, along with practice exercises. By paying an additional fee, you can also get the completion certificate, which you can use to display your skills and land lucrative jobs.

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3 Weeks
Beginner

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