11 Courses and Certifications

List of Online Courses and Certifications

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Skills

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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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11 Weeks
Intermediate
3,256
Certificate

Google Cloud Architect Program

This course is ideal for building competencies that are aligned specifically with the roles of enterprise architects, and cloud solution architects It also provides preparation and training that is valuable for Google’s Professional Cloud Architect certification exam.   

In this program, you will be introduced to Google Workplace Essentials. You will learn about Cloud Functions and Storage, and Analysis and Dataflow templates. You will be looking at the different cloud solutions, and also explore its related services like Load Balancers, Kubernetes, and Terraform. Moreover, it shall also be possible for you to make an investigation related to the Google Cloud key facets like log metrics, cloud monitoring, scaling, deployment, and cost optimization. Plus, you will build skills in other advanced features of the Google Cloud Platform, including continuous delivery, auto-scaling, Infrastructure as Code, and cloud security. 

Learners who choose our Gold and Platinum plans will also participate in instructor-led human skills sessions. These sessions help you develop the human skills employers look for when they are hiring.   

Plus, if you choose our Platinum plan, you will have the opportunity to complete a capstone project. This project will validate the skills and knowledge you have gained during the program and will make a valuable addition to your resumé and LinkedIn profile.  

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11 Weeks
Intermediate
54,999
Google Cloud Computing Foundations

Offered by

Certificate

Google Cloud Computing Foundations

The Google Cloud Computing Foundations certification course provides a comprehensive exploration of cutting-edge technologies, empowering students to navigate the complexities of Cloud Computing and ML. By emphasising practical skills and hands-on experience, it equips participants with a valuable skill set highly relevant to today's technology-driven landscape.

The Google Cloud Computing Foundations certification by Swayam is tailored for individuals with a foundational understanding of IT and a keen interest in delving into Cloud Computing and Machine Learning (ML). Throughout the course, students explore key concepts in Cloud and ML, which contribute to their overall undergraduate academic progress.

Also Read: Online Cloud Computing Certification Courses

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8 Weeks
Enquire

Offered by

Certificate

Google Cloud Big Data and Machine Learning Fundamentals

Big data is the enormous amount of data that organizations have access to as a result of its scale and complexity, which makes it difficult for many analytics tools to handle or evaluate. The amount of data acquired, the frequency at which it is made available to an organization for evaluation, and the complexity or variety of that data can all be aided by tools for big data. The Google Cloud Big Data and Machine Learning Fundamentals online certification was created by Google Cloud and is taught by Google Cloud Training, which is provided through Coursera.

Google Cloud Big Data and Machine Learning Fundamentals online classes introduce the learners to the methods associated with big data and machine learning services on Google Cloud and products that enable the data-to-AI lifecycles. The Google Cloud Big Data and Machine Learning Fundamentals online course covers the steps, difficulties, and advantages of establishing a big data infrastructure and machine learning models using functionalities of Vertex AI on Google Cloud as well as the characteristics of tools like Qwiklabs, Apache Beam, AutoML, TensorFlow, BigQuery, and others.

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7 Weeks
Beginner
4,117
Skills Covered:
Knowledge of Big Data Machine learning Knowledge of Data Visualization Knowledge of cloud computing

Offered by

Certificate

Building Batch Data Pipelines on GCP

Building Batch Data Pipelines on GCP Certification goes into great detail on batch data pipelines and which batch data paradigm to apply and when it should be applied.

Building Batch Data Pipelines on GCP Training enable interested students to gain practical experience with Qwiklabs to develop data pipeline components on Google Cloud.

The use of pipeline graphs in Cloud Data Fusion, BigQuery, running Spark on Dataproc, and serverless data processing with Dataflow are just a few of the Google Cloud technologies covered in Building Batch Data Pipelines on GCP course.

All students get Building Batch Data Pipelines on GCP certification by Coursera which is offered by Google Cloud.

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6 Weeks
Intermediate
4,091
Skills Covered:
Hadoop
Using Machine Learning in Trading and Finance

Offered by

New York Institute of Finance, New York , Google Cloud via Coursera
Certificate

Using Machine Learning in Trading and Finance

The Using Machine Learning in Trading and Finance online course is providing a platform for the students to learn and study about the basics that are involved in developing advanced strategies that are used in modern machine learning techniques. 

In the online programme on  Using Machine Learning in Trading and Finance by Coursera, the applicants will be studying the key components that are common to all the trading strategies irrespective of the platforms and dimensions. 

In the Using Machine Learning in Trading and Finance certification syllabus, the enrolled students will be covering the comprehensive chapters of-  Regularization: L1, L2, and early stopping, Regularization: dropout, Lab Intro: Keras functional API, Regularization: the basics, Neural networks with Keras functional API, Collect the data, Backtest on unseen data, Selecting a machine learning algorithm, Lab Intro: momentum trading, Creating features, Define the problem, Split the data and others.

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5 Weeks
Intermediate
4,115
Skills Covered:
Machine learning
Introduction to Trading, Machine Learning and Google Cloud Platform

Offered by

New York Institute of Finance, New York , Google Cloud via Coursera
Certificate

Introduction to Trading, Machine Learning & GCP

The Introduction to Trading, Machine Learning & GCP online course is an intermediate level of course. Students can look up the programme on the official website of Coursera. In this programme, students will learn about trading, its features, trends, and aspects related to trading. The course will discuss the different quantitative strategies that are considered for trading and trading structure. 

The course also talks about Google cloud and machine learning aspects in the programme. The Introduction to Trading, Machine Learning & GCP certification syllabus of the program is categorized on a weekly basis and demands four weeks for the program. 

Students are free to set their schedules according to their willingness and the entire program can be completed in 9 hours. Through the assignments and exercises, the students are able to understand every concept properly. At the end of the Introduction to Trading, Machine Learning & GCP certification course, students can also complete the procedure of getting a certificate if they want to be a certified user of the program.

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4 Weeks
Intermediate
4,115
Skills Covered:
Knowledge of Algorithms Machine learning Knowledge of cloud computing

Offered by

Certificate

Hands-On Labs in Google Cloud for Networking Engineers

The Hands-On Labs in Google Cloud for Networking Engineers online certification was created by Google Cloud and is targeted at candidates who wish to become qualified networking specialists, which is taught by Google Cloud Training through Coursera. To assist candidates in learning the fundamentals of cloud computing, the Hands-On Labs in Google Cloud for Networking Engineers online course offers hands-on exercises on the Google cloud platform utilizing the Qwiklabs program.

Hands-On Labs in Google Cloud for Networking Engineers online classes incorporate 5 Hours of hands-on learning materials that introduce candidates to primary methods for comprehending, performing, and troubleshooting network performance testing in Google Cloud. With this course, candidates will learn network infrastructure, VPC networks, load balancing, and bandwidth as well as will gaining knowledge of specific tools for building advanced networks.

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3 Weeks
Intermediate
4,117
Skills Covered:
Networking Knowledge of cloud computing

Offered by

Certificate

Mitigating Security Vulnerabilities on Google Cloud

3 Weeks
Intermediate
6,596

Offered by

Certificate

Develop and Deploy Windows Applications on Google Cloud

Develop and Deploy Windows Applications on Google Cloud online certification is designed and taught by Google Cloud Training, which is delivered by Coursera and is targeted at the learners who wish to acquire the skills and expertise for developing windows applications, Develop and Deploy Windows Applications on Google Cloud online course by Coursera aims to assist the learners to master the tools and strategies utilized to deploy and run Microsoft Windows applications on Google Cloud and Microsft IIS platforms.

Develop and Deploy Windows Applications on Google Cloud online classes is a self-paced educational program that describes the methods required to build and launch Microsoft Windows and Microsoft SQL Server in the compute engine. With the help of this course, learners will also discover about virtual machines, active directory, Qwiklabs, .NET Core, EF Core, ASP.NET Core, and ASP.NET MVC as well as will acquire the skills to create and deploy the ASP.NET applications to app engines, Kubernetes engines, and compute engines.

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1 Weeks
Beginner
Free
Skills Covered:
Web application development skills

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