AWS(Amazon Web Services)
Amazon Web Services, as the name, suggests is Amazon’s cloud service. It offers over 165 fully featured services from data centers globally. Millions of customers ranging from fast-growing start-ups to leading government agencies rely on AWS for infrastructure. Amazon provides services which can be used to create and deploy any type of application in the cloud. There has been a shift to cloud solutions from traditional infrastructure. Cloud services are all set to grow and AWS being the major market shareholder, proficiency in AWS is really useful and sought after by most companies in the industry.
GCP(Google Cloud Platform)
Google Cloud Platform (GCP) is a cloud computing service suite, offered by Google, which provides a series of modular cloud services, which includes, data storage, data analytics, machine learning, and management tools. GCP is a part of Google Cloud which includes GCP public cloud
infrastructure, G suite, corporate versions of Android, Chrome OD, APIs, and other mapping services. Its services can be accessed by software, cloud administrators and other IT professionals through a dedicated network over the public internet.
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ML(Machine Learning)
Machine Learning (ML) is an important part of Artificial Intelligence (AI). Unlike coding various programs explicitly, Machine Learning provides the computers the ability to learn on its own. How does this work? Numerous algorithms and statistical models are used by the computer which helps it to find hidden patterns in the data provided. These patterns help the computer take an accurate guess as to what the outcome will be for new, unknown data. The best part of any ML algorithm is that its ability topredict the outcome increases and the accuracy improves over time when new data is provided.
Microsoft Azure
Microsoft Azure, formerly known as Windows Azure, is a cloud computing service for building, testing, deploying and managing applications and services through Microsoft managed data centers. It provides a range of cloud services for
computing, analytics, storage, and networking. It allows users to choose its services and utilize it for developing new applications, or run existing applications in the public network.As the demand for such skills is growing in the IT sector, we provide specialized training in the above cloud technology skills. Get enrolled now to upgrade yourself!
Things You Will Learn
• Module 1 – About Cloud Technology
• Module 2 – Introduction To AWS, Azure & GCP
AWS(Amazon Web Services)
• Module 3 – AWS Cloud Architecture & Infrastructure Details
• Module 4 – AWS Elastic Compute Cloud Services(EC2) – EC2
• Module 5 – Amazon Web Services Networking & Content Delivery Services
• Module 6 – AWS Simple Storage Services(S3)
• Module 7 – AWS Relational Database Service(RDS)
• Module 8 – Database Services
• Module 9 – IAM & Monitoring Services
• Module 10 – AWS Monitoring & Notification Services
• Decision Tree And Random Forest Models
GCP(Google Cloud Platform)
• Module 11 – Setting Up A Cloud Solution Environment
• Module 12 – Planning And Configuring A Cloud Solution
• Module 13 – Deploying And Implementing A Cloud Solution
• Module 14 – Ensuring Successful Operation Of A Google Cloud Solution
• Module 15 – Configuring Access And Security In GCP
• Decision Tree And Random Forest Models
AZURE
• Module 16 – Deploying And Configuring Your Infrastructure
• Module 17 – Implementation Of Azure Security And Workloads
• Module 18 – Broad Understanding Of Azure Cloud Architecting Technology And Solutions
• Module 19 – How To Create Apps And Deploying Them
• Module 20 – Ways Of Developing For The Azure Cloud
• Module 21 – Designing For Azure Identity And Security
• Module 22 – Azure Data Platform Solution Designing
• Module 23 – How To Deploy Migrate And
Integrate With Azure Cloud
• Module 24 – Infrastructure Strategy