4038 Courses and Certifications

Online IT Software Courses & Certifications

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Automated Software Testing Model and State Based Testing

Offered by

ITIL 4 Foundation Certificate with Official Digital Manual and Exam

Offered by

Certificate

ITIL 4 Foundation Certificate with Official Digital Manual and Exam

With the ITIL® 4 Foundation Certification, take your IT Service Management career to the next level and get comprehensive training in the ITIL® 4 framework. Learn about the latest features of ITIL® 4, which is internationally recognised as the standard for IT Service Management (ITSM).

QA, which is the UK’s leading tech and management skills organisation, provides the Microcredential in ITIL® 4 Foundation Certification. You will learn the foundational skills required to work with ITIL® 4 and get in-depth, first-level training in the same. This course is beneficial for anyone who is involved in the delivery, provision or support of IT-enabled services in any organisation.

During the ITIL® 4 Foundation Certification course by FutureLearn, you will learn about the Service Value System (SVS), key concepts of ITIL® 4 framework, principles of project management and more. In the end, you will appear for the certification exam. The completion certificate is certified by QA and accredited by AXELOS.

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5 Weeks
56,479
Skills Covered:
Knowledge of IT industry
Analyzing Data with Excel

Offered by

IBM via Edx
Certificate

Analyzing Data with Excel

The Analyzing Data with Excel certification course is a self-paced 5 weeks online programme that is designed and offered by IBM on the platform of edX. By just focusing on 3-5 hours every week at their own speed, the learners can finish learning. Though the course is initially free, a nominal fee is required in case students wish to upgrade, get unlimited material access, and receive certificates along with verified badges. This is an introductory course that gives applied knowledge, and hands-on practice of lab exercises.

Analyzing Data with Excel training will give knowledge in the in-demand topics required for business. The students will be able to build basic knowledge of different kinds of Excel spreadsheets for performing the fundamental data analysis. This online introductory programme with zero admission prerequisites actually in its syllabus covers the working features of Microsoft Excel that will assist students in analysing their data.

The candidates can select from among the 2 tracks, the audit track and the other, the verified track. If one wants limited but free access their pick can be the audit track and if someone needs unlimited course material access they can upgrade to the paid verified track.

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5 Weeks
Beginner
Skills Covered:
Knowledge of Excel

Offered by

Certificate

Architecting with Google’s Kubernetes Engine: Workloads

Google Kubernetes Engine is one of the fastest developing platforms for containerized workloads and services and as such happens to be an amazing skill to have for an aspirant of the Cyber World.

Architecting with Google’s Kubernetes Engine: Workloads is the perfect course as it not only teaches candidates how to create and manage deployments but also because what better source to learn this from other than Google Cloud itself. This course concentrates on building infrastructures with Google Kubernetes Engine and give it persistent workload storage.

The course introduces containerised applications of the GKE to the candidates as well as many other services offered by Google Cloud to give the candidates the best of any programme. Although the course is online, it does offer hands-on lab experience to all the candidates to formulate their own solutions to deployment elements, security management, resource monitoring, access management, resource management and much more.

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5 Weeks
Intermediate
1,699
Skills Covered:
Computer skills
Introduction to Containers, Kubernetes and OpenShift

Offered by

IBM via Edx
Certificate

Introduction to Containers, Kubernetes and OpenShift

After virtualisation, cloud-native and containers are one of the most significant finds of the ITC industry. Several organisations are transitioning to this platform to gain competitive advantage. So, pursuing the Introduction to Containers, Kubernetes and OpenShift certification course will help you leverage this opportunity for personal gains. It is an intermediate-level programme for five weeks.

The introduction to containers kubernetes and openshift docker introduction has a self-directed training model. It will allow you to learn at your speed and enhance your employability quotient. After completing this course, you will develop and deploy cloud-native applications effectively. You will understand the difference between containers and virtual machines through the computer science course curriculum.

Furthermore, the Introduction to Containers, Kubernetes and OpenShift training will enable you to take on advanced roles in your organisation. It is also a beneficial programme for an individual who wants to become a cloud practitioner. The course dives into the concepts of how and why containers are important in cloud computing.

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5 Weeks
Intermediate
Skills Covered:
Knowledge of cloud computing

Offered by

Certificate

Microsoft Azure DevOps Certification Training Course (AZ-400)

The Microsoft Azure DevOps Certification Training Course (AZ-400) course from Edureka is developed by industry experts to align with industry requirements. Besides, if you are looking to crack the Microsoft Azure AZ-400 exam, this is the course for you. The training is designed to help new learners master the basics and advanced concepts of the Azure DevOps-related services.

The Microsoft Azure DevOps Certification Training Course (AZ-400) programme packs of instructor-led live online learning real-life case studies, quizzes, presentations, installation guides, and class recordings. You will also open an Azure Free Tier account to execute practicals in the curriculum. It also features a comprehensive curriculum, which explores topics like security, source code management, compliance, delivery, continuous integration, and monitoring in Azure.

With the Microsoft Azure DevOps Certification Training Course (AZ-400) syllabus, you will also learn to devise and implement strategies for collaboration. As the course reaches its end, Edureka will award you with accreditation for attending the course. Furthermore, if you have any queries during or after the course, you will have lifetime access to the Edureka support team.

Also Read:
Microsoft Azure DevOps Certification Course Training for AZ-400
DevOps Engineer for Microsoft Azure

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5.5 Weeks
19,999
Skills Covered:
Software development skills
Certificate

Hurricane Tracking with Satellite Data

A 5-weeks online programme, the Hurricane Tracking with Satellite Data course is developed to impart students with comprehensive knowledge about how they can analyse satellite data related to hurricanes and predict hurricanes’ paths to minimise the damage caused by them. 

Satellite-enabled data allows us to monitor, track and observe hurricanes from a secure distance. You will be gaining insights on how these datasets can be explored to derive descriptive stats. With the help of Hurricane Tracking with Satellite Data online programme, you will understand the important ideas of data science imperative to analyse, process, and finally interpret the large sets of data. 

Utilizing the tracking data made possible by satellites, you will see how predicting the paths of hurricanes is crucial in administrating, evacuations, and relief efforts to save countless lives that are endangered by these natural disasters.

The Hurricane Tracking with Satellite Data course by FutureLearn uses practical case studies and tutorials for enabling you to extract vital information from the satellite datasets.

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5 Weeks
Beginner
6,500
Skills Covered:
Data science knowledge Knowledge of Python Knowledge of Data Visualization
Introduction to Data Analytics

Offered by

Certificate

Introduction to Data Analytics

This Introduction to Data Analytics certification course provides a gentle introduction to data analysis principles, the role of a data analyst, and the techniques used to execute everyday tasks. The enrolled candidate will acquire knowledge of the data environment as well as the foundations of data processing, such as data collection and data mining. This Introduction to Data Analytics training in the course would teach students how to tell the difference between a data engineer, data scientist and data analyst. 

They will understand what a data analyst's duties are and what data analysis entails. In order to attain Introduction to Data Analytics certification at the end, the candidate will be able to compile an overview of the data environment, including databases and data warehouses. Following that, students can learn about the key vendors in the data environment and investigate the different technologies available on-premise and in the cloud. 

Continue on this thrilling trip to learn about Hadoop, Hive, and Spark, as well as other big data platforms. The candidate will begin by studying the basics of data collection and how to classify data sources. They'll then learn how to use visualizations and dashboard software to clean, interpret, and distribute the results. All of this culminates in the final assignment, which will assess their understanding of the course content, discuss what it means to be a Data Analyst, and have a real-world application.

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5 Weeks
Beginner
3,384
Skills Covered:
Data science knowledge Knowledge of Excel

Offered by

Certificate

Prepare Data for Exploration

The online course on Prepare Data for Exploration by Coursera is the third part of the series programme under the Google Data Analytics certificate. The course will equip the students with the skills needed to apply to introductory-level data analyst jobs. The experts will guide the students throughout the Prepare Data for Exploration online course. Over 24 hours, students will gain a detailed understanding of the following topics - Considerations in Data collection, Data formats in practice, The structure of data, Introduction to Data Ethics, the importance of data ethics, Introduction to data privacy, steps for ethical data use and others. The students will gain practical data analytics skills and learn how to use tools like SQL and spreadsheet to extract, organize and protect data. Hence the online session will help the students emerge as successful data analysts.

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5 Weeks
Beginner
3,384
Skills Covered:
SQL knowledge
Certificate

Fundamentals of TinyML

The Fundamentals of TinyML Training Course is an open course provided on the HarvardX platform coordinated by edX and Harvard University. The course will introduce students to the fundamentals of embedded systems and machine learning along with the core aspects of TinyML language.

The Fundamentals of TinyML Certification Syllabus will benefit students who are interested in data analysis and statistics. The course is an introductory level course that requires students to have knowledge about basic scripting techniques in Python. The course is supported by online study materials and instructed by Vijay Janapa Reddi and Laurence Moroney.

The Fundamentals of TinyML Course is taught over 5 weeks in a self-paced manner. The course focuses on the main aspects of deep learning, machine learning, and embedded devices and systems, like smartphones and other devices. Upon the successful completion of the online exams and assignments, students will receive a certificate if they choose the verified mode with the course fee. In the free mode, they can audit it for a limited period. 

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5 Weeks
Beginner
Skills Covered:
Machine learning Knowledge of deep learning Data science knowledge Knowledge of Artificial Intelligence
Certificate

Business Metrics for Data-Driven Companies

Offered by Duke University, and Coursera, the Business Metrics for Data-Driven Companies certification course is a 4 weeks online course. This programme is also the first part of the Excel to MySQL: Analytic Techniques for Business Specialization which takes 8 hours to complete. With this course, professionals will be learning to use, and make application of the different techniques of data analytics for all kinds of business companies to make them profitable.

Business Metrics for Data-Driven Companies training will help recognize the important, and critical metrics of business so that it can be differentiated from simple data. Also, this certificate course will let the participants get a proper picture of the vital roles of business data analysts, business analysts, or data scientists play in companies of different sizes. Finally, the certificate at the programme’s end will help to identify skills that are required for hiring, and then succeeding in the above high-demand roles.

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5 Weeks
1,699
Skills Covered:
Business analytics knowledge
Data Analytics Basics for Everyone

Offered by

IBM via Edx
Certificate

Data Analytics Basics for Everyone

5 Weeks
Beginner
Free

Offered by

National Institute of Electronics and Information Technology, Chennai
Certificate

Online Certification Course in Deep Learning using Tensorflow 2 and Keras

Online Certificate Course in Deep Learning using Tensorflow 2 and Keras by the National Institute of Electronics and Information Technology is a foundational course aimed at imbuing within students various Deep Learning skills and algorithm evaluation performances for multiple applications. It touches on machine learning, natural language processing (NLP), and programming languages that guarantee a career in AI.

The course is spread across five weeks and filled with several theory and practical learning modules. Moreover, the Online Certificate Course in Deep Learning using Tensorflow 2 and Keras by NIELIT also covers Cloud Computing, Internet of things (IoT) and Data Analytics. It includes case studies and projects which are industry-relevant. A course completion certificate is also provided to candidates towards the end of the programme.

Mr Ripunjay Singh is the instructor of NIELIT’s Online Certification Course in Deep Learning using Tensorflow 2 and Keras programme. Candidates need to dedicate one hour on weekdays from 3 PM to 4 PM. Candidates are selected on a first-come, first-serve basis.

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5 Weeks
2,000
Skills Covered:
Programming skills Knowledge of deep learning Data science knowledge Machine learning
Deep Learning with Tensorflow

Offered by

IBM via Edx
Certificate

Deep Learning with TensorFlow

A considerable amount of the world’s data is unstructured, including text, sound, images, etc. By joining the Deep Learning with TensorFlow certification course, you will learn how Deep Learning can be applied with TensorFlow to this kind of data and solve real-life problems. You will study the main functions, execution pipeline, basic concepts and operations of TensorFlow.

During the 5-week duration of the Deep Learning with TensorFlow online program, you will explore various kinds of Deep Architectures, like Autoencoders, Recurrent Networks, and Convolutional Networks. Also, you will learn how to implement TensorFlow for backpropagation to adjust the biases and weights while training the neural networks.

With the help of edX’s Deep Learning with TensorFlow course, you will learn how TensorFlow can be used in regression, minimizing error functions, curve fitting and classification. The course offers you free access to its contents for a limited duration and you can also get the option to avail of a professional certificate on completion after paying the prescribed fee. 

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5 Weeks
Intermediate
Skills Covered:
Statistical skills Knowledge of deep learning
Exploratory Data Analysis for Machine Learning

Offered by

Certificate

Exploratory Data Analysis for Machine Learning

5 Weeks
Intermediate
3,277
Certificate

Machine Learning for Data Science and Analytics

5 Weeks
Beginner
Free
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

Offered by

Certificate

Artificial Intelligence Certification Course

Edureka's Artificial Intelligence Certification Course guides a candidate step by step to nlp and text analytics using python's programming language. Anyone working with text and data and little knowledge of python programming language can take up this course. However, they provide a complimentary course to brush up skills on python programming.

Nlp is a form of artificial intelligence which has a great significance on the way humans and computers interact. This course has a lot of practical situations where candidates can apply what they have learnt. Topics such as text processing, semantics analysis, machine learning and other such topics have been discussed.

Their syllabus is designed in such a manner that they take a candidate through all the important concepts which are required while applying the learning of nlp. It discusses real life problems, and after this course one can build their own machine learning model for text classification.

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5.5 Weeks
19,995
Skills Covered:
Knowledge of Python
Certificate

Data Ethics, AI and Responsible Innovation

This story-driven course of Data Ethics, AI, and Responsible Innovation by edX will be taught to the candidates by the experts leading in the field of data science, science and technology studies, innovation, and responsible research with the help of various case studies. The candidates will be taught to look at the original controversies in the world and challenges related to ethical issues possessed by large data. The candidates will be able to understand the complexities and realities by making an ethical decision with a competing interest.

The candidates will interact with predictive policing, and human autonomy and will get to know about the emerging new approaches in the industry to develop their understanding related to all of the concepts (Artificial Intelligence). The candidates will get experienced instructors like Ewa Ludger, Burkhard Schafer, and Morgan Currie from the University of Edinburgh.

The duration of the Data Ethics, AI, and Responsible Innovation certification by Edx is 5 weeks and 3-4 hours of weekly effort needed by the candidate. The video transcript of the Data Ethics, AI, and Responsible Innovation certification course will be in English and the level of teaching will be intermediate. One can find two tracks - audit and verified track which if enrolled into will offer course access. The audit track offers free limited access to the course only for a specific period. On the other hand, the candidates will get verified track access for a lifetime by only paying some amount of money.

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5 Weeks
Intermediate
Skills Covered:
Data science knowledge
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
Artificial Intelligence in Practice Preparing for Artificial Intelligence

Offered by

Certificate

AI in Practice: Preparing for AI

5 Weeks
Intermediate
Free
Artificial Intelligence in Practice Applying Artificial Intelligence

Offered by

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
IBM Cloud Essentials

Offered by

IBM via Edx
Certificate

IBM Cloud Essentials

IBM Cloud Essentials certification course covers the basic tenets of IBM cloud. The students in the session will be learning about the many offerings and the services that are available on IBM cloud, making it more secure and accessible to the public along with the enterprises and developers. 

IBM Cloud Essentials online course with the introduction of IBM as a platform goes on to cover topics that include- configuring identity, data center locations, and access management. The students will be further discovering the various infrastructure-as-a-service (IaaS) functions that are available on the platform. The programme will also teach the students about the deployment method including- Kubernetes, Containers, and OpenShift. After completing the IBM Cloud Essentials training certification course students will become familiar with services that include- Watson blockchain, databases, blockchain, artificial intelligence, and others. will make the students efficient cloud practitioners and will help them to develop skills as architects. 

edX has two separate kinds of tracks which may be opted for by the candidates to complete the course. Both the tracks are self-paced but during the verified track, the candidates may see and learn the course for a lifetime by paying some fee. To access the audit track, nothing is charged but the materials will only be accessible for a certain fixed period.

...Read More
5 Weeks
Beginner
Skills Covered:
Knowledge of cloud computing

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