4040 Courses and Certifications

List of Online Courses and Certifications

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Advanced Data Science Capstone

Offered by

Certificate

Advanced Data Science Capstone

The Advanced Data Science Capstone certification course is specialized in the field of data science presented by IBM, the course is structured into week dynamics and the syllabus is in accordance with that only. This course will provide an immense Advanced Data Science Capstone training that will be focused on a deep understanding of the huge processing of data, exploration, and data visualization. 

Basically, the course is structurally based on deep learning and machine learning that will help them to be more effective and efficient in solving real-world problems and situations. Candidates need to pass the last assessment that is the project work in order to attain Advanced Data Science Capstone certification by the end of the completion of the course. Candidates can get constant feedback along with every module which can help them to make their fundamentals and basics stronger. 

The Advanced Data Science Capstone online course will assist the applicant in learning and demonstrating an understanding of the characteristics of various algorithms, systems, and technologies, as well as how they affect model efficiency and scalability, which are needed in the data science area. Candidates can apply for the course via an online platform and can submit the assessments via the same model only. 

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Expert
4,086
Skills Covered:
Data science knowledge

Offered by

Certificate

Hands-On HR Analytics Online Course for Human Resources

HR analytics aims to offer insight into the most effective ways to manage employees and accomplish business objectives. Given the abundance of data available, it is crucial for HR teams to first determine which data is most pertinent and how to use it to get the best return on investment. Nilakantasrinivasan Janakiraman, a leader in customer experience and business transformation, developed the Hands-On HR Analytics Online Course for Human Resources certification, which is made available by Udemy.

Hands-On HR Analytics Online Course for Human Resources classes contains more than 6.5 hours of prerecorded lessons accompanied by 2 articles, 7 downloadable resources, and assignments that aim to provide learners a solid understanding of the concepts involved with HR analytics. Hands-On HR Analytics Online Course for Human Resources syllabus discusses the strategies and techniques associated with topics like hypothesis testing, descriptive analytics, diagnostic analytics, T-test, chi-squared, recruitment analytics, ANOVA, employee satisfaction analytics, and more.

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2,999
Skills Covered:
Human Resource Management

Offered by

Certificate

HR Analytics: Essentials Human Resource Management,HR

The gathering and use of talent data for HR analytics are done to enhance important business and talent outcomes. HR analytics offer HR officials the ability to create data-driven additional insight to guide hiring decisions, enhance workforce operations, and foster a positive working environment. HR Analytics: Human Resource Management, HR Course Aug 22 certification is created by Robert Sullivan - MA, MBA, FistLM, FRSA FHEA, Business Academic, Entrepreneur & Coach to CEOs and is presented by Udemy.

HR Analytics: Human Resource Management, HR Course Aug 22 online classes comprise more than 2.5 hours of video-based training materials supported by downloadable resources which are intended for the students who want to pursue careers in the field of human resource management. HR Analytics: Human Resource Management, HR Course Aug 22 online training discusses topics like HR analytics, data analytics, business strategy, data modeling, staff empowerment, staff engagement, performance management, recruitment, talent development, performance appraisal, and more.

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2,499
Skills Covered:
Communication skills Problem Solving Ability Human Resource Management

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Certificate

HR Analytics & Dashboarding - Advanced Course

An HR Dashboard is an advanced analytics tool that enables Human Resource team members to monitor, assess, and document HR KPIs for the entire organization, assisting leaders in making decisions to improve the work environment and maximize employee productivity. HR Analytics & Dashboarding - Advanced Course certification was created by Edcorner Learning, an incredible learning platform, and is made available by Udemy for students who want to learn the advanced concepts of HR analytics and HR dashboarding to become certified human resource managers.

HR Analytics & Dashboarding - Advanced Course online classes comprise 8 hours of digital lectures supported by downloadable resources and articles that help students learn about the method for gathering and analyzing HR data to enhance an organization's workforce performance. HR Analytics & Dashboarding - Advanced Course online training discusses topics like data charts, animated macro charts, predictive attrition, headcount analysis, BGV analysis, goal seek analysis, payroll analysis, FNF analysis, exit analysis, leave analysis, and much more.

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Beginner
1,999
Skills Covered:
Knowledge of Excel Human Resource Management
Certificate in Deep Learning with Caffe2

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Certificate

Certificate in Deep Learning with Caffe2

The online certification course in Deep Learning with Caffe2 offers an in-depth teaching process about the fundamentals of deep learning. Facebook open-sources Caffe2, which is a comfortable and adjustable framework for efficient deep learning. You will undergo training, based on deep learning tools, and understand the applications of Caffe2.

The Deep Learning with Caffe2 online course will provide you with the working knowledge of convolutional networks, Adam, BatchNorm, RNNs, Dropout, and more. You will establish a firm foundation in neural networks and understand how to build them. Moreover, you will train and manipulate them effortlessly by understanding Caffe2’s applications, using Python programming in various projects for Deep Learning with Caffe2 online course.

Deep Learning with Caffe2 programme provides government certification and enhances your employment possibilities in better companies. You will receive the certificate after passing the course test, with lifelong e-learning access and certification validity. 

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3,499
Skills Covered:
Knowledge of deep learning
Certificate in Deep Learning with Keras

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Certificate

Certificate in Deep Learning with Keras

Since the era of technology is changing, big companies are looking for new experts in various fields. The companies using modern technology require trained professionals to utilise their skills in a productive manner. Data Analytics using Keras is a part of mathematical analytics which has brought a whole new change in the technology world. It is a great way to start using digitalization and technical aspects of work in the workplace.

Nowadays, the need for such trained professionals is enhancing day by day. Big companies such as Amazon, Flipkart, Google are looking for trained professionals with a deep understanding of Keras. 

With Certified in Deep Learning with Keras, can access different skills to be professionally trained in using Keras. Online classes and supportive faculty contribute a lot to this course to be the right choice for learners seeking these skills. After getting certified through this course, learners will get several job opportunities from recruiters and other modes.

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3,499
Skills Covered:
Machine learning Knowledge of deep learning
Certificate in Deep Learning with PyTorch

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Certificate

Certificate in Deep Learning with PyTorch

Deep learning is a modern technology that enables systems with artificial intelligence to be built that were literally impossible before. It is going to be very helpful in order to remain organised, help businesses thrive and stay on top of the market. Numerous exciting applications are currently allowed by deep learning.

PyTorch is getting popular among data science professionals. It has a clean and easy API just like Python and that will be helpful in creating neural networks much faster and easier. Candidates will be able to use PyTorch proficiently in their real world projects by the end of this Deep Learning with PyTorch programme. While pursuing this programme, candidates will be able to learn a series of tools namely, NUMPY, Cuda and others.

The course is 100 percent online and candidates can take classes at their own pace. After the completion of the course, they need to appear in an online exam to get the certificate.

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3,499
Skills Covered:
Knowledge of deep learning

Offered by

Certificate

Intro to Deep Learning with PyTorch

There is no doubt that the AI revolution is being driven by deep learning. Machine learning and AI are gaining popularity as it helps make data-driven business decisions. With a deep understanding of AI & ML, you can take your business to an all-new level.  PyTorch makes it convenient to build applications used for deep learning. The programme will teach you how to build and train deep neural networks using Pytorch. This practical experience would hone your skills to use them in your personal projects. 

Intro to Deep Learning with PyTorch online course explores how to use PyTorch using coding exercises and projects. This will help you implement state-of-the-art AI applications such as text generation and style transfer.  This is a free course that offers instructional videos, interactive quizzes, and self-paced learning. 

Intro to Deep Learning with PyTorch takes about two weeks to complete. This is an intermediate-level course and requires a working knowledge of Python and its libraries Matplotlib and NumPy. The industry experts for this course are a panel of five educators: Matt Leonard, Soumith Chintala, Luis Serrano, Cezanne Camacho, and Alexis Cook. 

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Skills Covered:
Knowledge of deep learning
Certificate

Keras Training

Keras Training Course will help the students to make an overview of Keras which is an open-source software library that creates and gives a Python interface for artificial neural networks. In this course, the learners will dive deep into the numerous aspects of Keras such as predefined neural network layers, Installation of Keras on Docker, the usage of Keras, Multilayer Perceptron in Keras,  Neural Networks, and many more.

Administered by Mindmajix Technologies, Keras Training online course will expose the learners to the  CIFAR-10 images with DL, predefined activation functions, parameters in Neural Networks using GridSearchCV, implementing the Keras for secure application and many along with the practical training through many hands-on practical exercises and use cases. Keras Training certification can be taken by the students through different options of enrolment, namely, the corporate training, the self-study through pre-recorded videos, and online live instructor-led mode.

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Skills Covered:
Knowledge of deep learning

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Certificate

Detect Fraud and Predict the Stock Market with TensorFlow

The stock market is renowned for its turbulence, dynamic, and nonlinear nature. Due to a variety of factors, including politics, the state of the global economy, unforeseen occurrences, a company's financial performance, and others, accurately predicting stock prices is very difficult. The Mammoth Interactive - Instructor & John Bura Web, App & Game Developer-designed the Detect Fraud and Predict the Stock Market with TensorFlow certification course, which is offered by Udemy.

Detect Fraud and Predict the Stock Market with TensorFlow online classes are intended for individuals who want to become experts in the artificial intelligence methodologies used to highlight stock market fraud. Individuals will learn about Tensorflow, linear regression, and Python in the Detect Fraud and Predict the Stock Market with TensorFlow online course, as well as about the techniques and resources needed to create stock market prediction applications.

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1,999
Skills Covered:
Knowledge of Python Web application development skills

Offered by

Certificate

TensorFlow Developer Certificate Bootcamp

TensorFlow Developer Certificate in 2022: Zero to Mastery online training was developed by Daniel Bourke, a machine learning engineer, writer, and video producer, and Andrei Neagoie, the founder of zerotomastery.io. Zero To Mastery is an educational platform that teaches in-demand skills and is made available through Udemy for students who want to acquire the skills to solve machine learning and deep learning problems using Tensorflow to obtain the TensorFlow developer certificate.

TensorFlow Developer Certificate in 2022: Zero to Mastery online training incorporates 63 hours of extensive lectures accompanied by 5 downloadable resources, 42 articles, and coding exercises which is intended to provide learners the opportunity to demonstrate their machine learning knowledge and experience in a global employment market that is becoming more and more AI-driven. TensorFlow Developer Certificate in 2022: Zero to Mastery online classes take learners from beginners with TensorFlow for producing excellent deep neural networks by explaining the concepts involved with deep learning, convolutional neural networks, computer vision, and natural language processing.

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3,499
Skills Covered:
Natural Language Processing Machine learning Knowledge of deep learning

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Certificate

Complete Guide to TensorFlow for Deep Learning with Python

Google created the open-source TensorFlow library, which is primarily used for applications involving deep learning. Additionally, it claims to support conventional machine learning. Complete Guide to TensorFlow for Deep Learning with Python online certification is developed by Jose Portilla - Head of Data Science at Pierian Training which is delivered by Udemy for candidates who want to master the concepts and strategies associated with TensorFlow for deep learning activities.

Complete Guide to TensorFlow for Deep Learning with Python online course provides 14 hours of thorough lectures along with 5 downloadable learning resources and 7 articles which aim to teach the candidates about the techniques necessary to create artificial neural networks for deep learning operations. The Complete Guide to TensorFlow for Deep Learning with Python online training explains the theories behind image classification, CNN, GNN, and RNN, as well as acts as a comprehensive manual for using the TensorFlow framework following its intended purposes while demonstrating to candidates the most recent deep learning methods.

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3,299
Skills Covered:
Machine learning Knowledge of Python Knowledge of deep learning

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Certificate

Complete Tensorflow 2 and Keras Deep Learning Bootcamp

TensorFlow is an open-source framework for a variety of different machine learning problems, whereas Keras is a neural network framework. Both high-level and low-level APIs are offered by TensorFlow, whereas Keras only offers high-level APIs. Complete Tensorflow 2 and Keras Deep Learning Bootcamp certification course is designed by Jose Portilla - Head of Data Science at Pierian Training which is presented by Udemy for applicants interested in learning about TensorFlow 2 for deep learning and artificial intelligence.

Complete Tensorflow 2 and Keras Deep Learning Bootcamp online classes contain 19 hours of extensive lectures supported by 3 downloadable resources and 2 articles which guide applicants to build artificial neural networks using the TensorFlow 2 framework for deep learning operations. With Complete Tensorflow 2 and Keras Deep Learning Bootcamp online training, applicants will be taught about machine learning, natural language processing, and time series analysis as well as strategies for utilizing the Keras API to build Tensorflow 2 models more quickly.

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4,099
Skills Covered:
Knowledge of deep learning Machine learning Knowledge of Numpy Natural Language Processing Knowledge of medical technology

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Certificate

Deep Learning with TensorFlow 2.0

Tensorflow is the world's most widely used deep learning framework, and it was created by Google. Tensorflow is the machine learning and artificial intelligence library of preference for many businesses. Deep Learning with TensorFlow 2.0 online certification is created by 365 Careers, an Udemy-affiliated educational platform that creates opportunities for finance and data science students.

Deep Learning with TensorFlow 2.0  online classes offers 6 hours of prerecorded lessons supported by 18 articles and 20 downloadable resources which are targeted at the students interested in mastering the strategies to code and build deep learning algorithms and machine learning algorithms from scratch to become certified data scientists. Deep Learning with TensorFlow 2.0 online training revolves around topics like neural networks, standardization, machine learning, initialization, normalization, pre-processing, training, validation, overfitting, underfitting, and more.

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3,099
Skills Covered:
Knowledge of deep learning Knowledge of Python Knowledge of Numpy Machine learning Mathematical skill

Offered by

Certificate

A Complete Guide on TensorFlow 2.0 using Keras API

A large neural network library that integrates with TensorFlow is called Keras. TensorFlow is an open-sourced end-to-end framework and library for many tasks involving machine learning. A Complete Guide on TensorFlow 2.0 using Keras API certification course is developed by Hadelin de Ponteves - AI Entrepreneur, Ligency I Team - an educational organization that helps data scientists in acquiring skills & Luka Anicin AI Engineer & Entrepreneur and is made amiable by Udemy.

A Complete Guide on TensorFlow 2.0 using Keras API online training comprises 13 hours of digital lessons accompanied by 13 articles and 3 downloadable resources and is arranged to cover every topic from neural networks and training to put it in use. With A Complete Guide on TensorFlow 2.0 using Keras API online course, individuals will learn about data validation, dataset preprocessing, machine learning, CNN, ANN, and RNN as well as how to create a stock trading bot using reinforcement learning.

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3,099
Skills Covered:
Machine learning Data science knowledge Knowledge of deep learning

Offered by

Certificate

Tensorflow Deep Learning - Data Science in Python

For building Deep Learning models, Google introduced the TensorFlow framework. Artificial neural networks are a key component of the deep learning class of machine learning models. Tensorflow Deep Learning - Data Science in Python online certification is developed by Minerva Singh- Instructor & Data Scientist and is offered by Udemy for candidates who want to master the concepts involved with TensorFlow for data science operations using python programming.

Tensorflow Deep Learning - Data Science in Python online course contains 7 hours of video-based lessons supported by 3 articles and 45 downloadable resources to provide candidates a thorough understanding of statistical modeling, data visualization, machine learning, and fundamental deep learning using the Tensorflow framework in Python. By the end of the Tensorflow Deep Learning - Data Science in Python online training, candidates will be able to use packages such as Numpy, Pandas, and Matplotlib to collaborate with actual data in Python.

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2,499
Skills Covered:
Knowledge of deep learning Machine learning Knowledge of Python Data science knowledge

Offered by

Certificate

Android Machine Learning with TensorFlow lite in Java/Kotlin

The Android Machine Learning with TensorFlow lite in Java/Kotlin certification course was designed by Hamza Asif, an Android Developer, Flutter Developer, and Instructor, and is made available through Udemy, which is aimed at students who want to become proficient in the machine learning tools and methodologies to implement machine learning models in their android applications using the functionalities of TensorFlow Lite.

Android Machine Learning with TensorFlow lite in Java/Kotlin online classes encompass more than 5.5 hours of prerecorded lectures supported by 19 downloadable study materials which are geared toward teaching students how to use Android Studio and TensorFlow Lite to incorporate machine learning and computer vision into their applications for Android. Android Machine Learning with TensorFlow lite in Java/Kotlin online course discusses topics like application development, classification, and regression as well as explains the functioning of various tools like Keras, Java, Kotlin, Pandas, Numpy, and Matplotlib.

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Beginner
799
Skills Covered:
Android Kotlin Machine learning Knowledge of deep learning Knowledge of Python Java Knowledge of Numpy Knowledge of Android Software Development

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Certificate

TensorFlow 101: Introduction to Deep Learning

Deep learning is a branch of artificial intelligence and machine learning that resembles how learners understand specific types of information. Data science, which also includes statistical data and predictive modeling, includes deep learning as a crucial aspect. TensorFlow 101: Introduction to Deep Learning online certification is created by Sefik Ilkin Serengil - Software Engineer, which is delivered by Udemy for the participants who are interested in learning the TensorFlow framework and concepts involved with artificial intelligence, machine learning, and data science.

TensorFlow 101: Introduction to Deep Learning online training is a self-paced program that offers 4 hours of digital lessons accompanied by downloadable learning resources and assignments which is aimed at the participants who want to acquire a foundational understanding of the concepts involved with deep learning from scratch. TensorFlow 101: Introduction to Deep Learning online classes discusses topics like deep neural networks, segmentation analysis, time series analysis, supervised learning, unsupervised learning, face recognition, machine learning models, and more.

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1,499
Skills Covered:
Machine learning Knowledge of deep learning
Introduction to TensorFlow Lite

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Certificate

Introduction to TensorFlow Lite

Introduction to TensorFlow Lite Certification teaches how to deploy (DL) deep learning models on mobile and embedded devices with TensorFlow Lite. It includes various programming languages support such as Java, Swift, Objective-C, C++, and Python.

Introduction to TensorFlow Lite Classes is developed by the TensorFlow team and Udacity together as a practical approach to model deployment for software developers. All candidates get hands-on experience with the TensorFlow Lite framework as you deploy deep learning models on Android, iOS, and even an embedded Linux platform. 

By the end of this Introduction to TensorFlow Lite Training, all candidates will have the skills necessary to start deploying their own deep learning models into mobile apps.

Introduction to TensorFlow Lite Certification Course is designed for aspirants who want to learn TensorFlow Lite to execute efficiently on most devices with limited compute and memory resources. All students after completion of classes get Introduction to TensorFlow Lite Certification by Udacity.

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Skills Covered:
Data science knowledge

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Certificate

Introduction to Neural Networks and Deep Learning

Intermediate
Free
Certificate

Full Stack Training

In the Full Stack Training Course, the learners will be able to learn the  Full Stack in detail and build the skills of both front-end and back-end web technologies. The online training offered by Mindmajix Technologies will facilitate the learners to become Full Stack Developers and familiarize themselves with developing web applications. 

Full Stack Training online course will take the candidates through the whole range of aspects related to Full Stack development such as web development, AngularJS & NodeJS, MongoDB, jQuery, JavaScript, and many more through real-time industry projects, namely, Creating a Web App and RESTful API Server Using the MEAN Stack and Building a beautiful Job search app using Github Jobs API. Full Stack Training certification can be accessed by the learners through three different ways of enrolment by paying the respective fees prescribed by Mindmajix. 

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20,000
Skills Covered:
Knowledge of CSS Knowledge of Ajax

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Certificate

AWS SysOps SysOps Certification Training for Administrator

The AWS SysOps Certification Training for Administrator course by Edureka is designed to teach the participants core services of AWS through its features and tools. The course covers modules on creating automatable deployments of networks and systems on AWS platform with the help of AWS features and tools that are related to its configuration and deployment.

A weekend only course, the AWS SysOps Certification Training for Administrator programme enables the participants to understand the common techniques used throughout the industry to configure and deploy systems. 

The AWS SysOps Certification Training for Administrator course is completely aligned to the AWS Certified SysOps Administrator – Associate exam. It is specially created to assist IT administrators and system engineers to manage AWS resources.

Moreover, the curriculum includes modules on Salesforce1, Cloudwatch, Cloudtrail, ELB, Route53, EC2, S3, Glacier, IAM and VPC. Upon completion of the AWS SysOps Certification Training for Administrator course by Edureka, you will be well-prepared to pass the AWS Certified SysOps Administrator Associate exam. 

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8,999
Skills Covered:
Knowledge of AWS Technology Knowledge of Amazon Web Services Knowledge of cloud computing Troubleshooting

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Certificate

Migrating Applications to AWS Training

The Migrating Applications to AWS Training course is made to develop your expertise in the management of cloud migration without any downtimes. The Migrating Applications to AWS Training will help you to become a master in migrating web applications, migrating strategies, backend processing pipeline to AWS Cloud database migration, and batch processes. 

The Migrating Applications to AWS Training programme is structured to provide you with in-depth knowledge about how to migrate to AWS in the real world. Industry professionals with years of experience in relevant teaching will instruct the course. 

Moreover, the Migrating Applications to AWS Training syllabus is tailored to introduce you to several real-life business case studies where you will experiment with the migration of Batch Processes, Web Applications and Backend Processing Pipeline to the AWS Cloud. You will also learn about the functional capabilities on AWS after migration.

By the end of the programme, you will be able to leverage AWS services to make the AWS Infrastructure reliable, scalable, and highly available.

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8,999
Skills Covered:
Knowledge of AWS Technology
AWS Certified Cloud Practitioner Certification

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Certificate

AWS Certified Cloud Practitioner Certification

AWS Certified Cloud Practitioner course provides a good understanding of cloud concepts and AWS services. These services include Elastic Compute Cloud (EC2), AWS Cloud formation, S3 Bucket, Elastic Beanstalk, CloudFront, Elastic Load Balancer (ELB), and more. Participants will learn about basic architectural principles and security, pricing, technical assistance, and the core characteristics of AWS Cloud deployment and operation. 

AWS Certified Cloud Practitioner Certification by E&ICT Academy, IIT Kanpur is an advanced course. That’s why participants are encouraged to have a good foundation of general IT technical and business knowledge. They should also have some experience in working with the AWS Cloud platform to gain a deeper understanding of the course. 

Individuals participating in the AWS Certified Cloud Practitioner program can gain a certificate by successfully completing the course. Students must also finish various assignments such as a group project or presentations and a final assessment. The final appraisal will be in the form of an MCQ test where they need to score at least 60% to pass. 

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8,474
Skills Covered:
Knowledge of AWS Technology
AWS Cloud Practitioner Exam Tips

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Certificate

AWS Cloud Practitioner Exam Tips

AWS Cloud Practitioner Exam Tips course will prepare candidates for the AWS Certified Cloud Practitioner test. The course additionally gives the candidate a concise outline of essential security and design standards, centre qualities of sending and working in the AWS cloud. The AWS Cloud Practitioner Exam Tips online course will provide a recap of significant cloud ideas and AWS administrations, for example, cloud ideas and AWS administrations, S3 bucket, elastic compute cloud (EC2), AWS cloud development, elastic load balancer (ELB), AWS SDKs.

The AWS Cloud Practitioner Exam Tips Certification course will provide the candidate with an e-certificate and they will get to know about the development and working in the AWS Cloud. The candidate will be learning the skills to polish their hands in the elastic compute cloud and reference architectures.

The participant will know about the AWS cloud formation from experienced faculty members. Candidates can also build up their knowledge in their working field for AWS identity and access management. The course will have flexible timing as per the candidate's convenience in study timing and will be in online mode where candidates will be getting sufficient knowledge and skills in cloud watch.

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4,237
Skills Covered:
Knowledge of AWS Technology
AWS Solution Architect Exam Tips

Offered by

Certificate

AWS Solution Architect Exam Tips

AWS Solution Architect Exam Tips certification course is offered by the Indian Institute of Technology, Kanpur. The course provides ample learning opportunities for learners who want to understand everything related to the AWS or Amazon Web Service. Students are expected to complete the entire AWS Solution Architect Exam Tips certification syllabus in online mode since this is a 100 percent online course.

This programme is an introductory level of the programme and mainly focuses on aspects such as cloud computing, simple storage service, networking, auto-scaling, etc. The AWS Solution Architect Exam Tips certification makes the learners familiar with all the key concepts of the AWS Certified Solutions Architect Associate exam. Students who wish to pursue their career in Amazon Web Service can apply for this course.

The AWS Solution Architect Exam Tips is a self-paced online course. Students can access the full course for the duration of 6 weeks from anywhere, provided they have a system and a good internet connection, to attend the online sessions. Participants are expected to enrol themselves and pay the quoted amount in order to get access to the course. Upon successful completion of the course, participants will be eligible to acquire the verified certificate.

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4,237
Skills Covered:
Networking Knowledge of AWS Technology

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