Course Description
Complete Cloud Services Training
Cloud Solution Architect Versatile Training Programme Designed by Industry Experts in View of the Cloud Service Providers and share of the Cloud Infrastructure Services Utilisation in the Market. As the Demand for Cloud Technology Skills in a IT Technocrat are growing, this Specialised Training will solve their needs.This Comprehensive Cloud Services Training will Cover Amazon Web Service, Microsoft Azure & Google Cloud Platform Services in Total.
Learning Outcomes
- Strong Foundation and Knowledge on AWS, Azure & GCP Cloud Computing Concepts
- Enhance their Skills on Amazon Web Services, Microsoft Azure & Google Cloud Platform
- Migrate on Premise Infrastructure to AWS/Azure/GCP as per the Business Strategy
- Pricing Models and Calculations for AWS, Azure & GCP Respective Services
- Freedom to Choose any of the Cloud Platform
- Command Line Interface for AWS, Azure & GCP
Methodology
- Professional Training both online and In-House Sessions with Live Interaction
- Practical Lab Sessions on AWS, Azure & GCP Respectively
- Regular Questions on all the Topics.
Who can take this
- Fresh Graduates and Working Professionals looking for bright career
- Software Professionals Currently looking for Up-Skilling & Cross-Skilling
Course Curriculum
Comprehensive Cloud Computing Course (C4)
- Cloud Computing Technology & its Concepts
- Comparison between On-Premise & Cloud Infrastructure
- Various Advantages of Cloud Technology
- Types of Cloud Services being offered
- Leading Cloud Services providers in the market
- Comparison between Cloud Service Providers
- Evolution
- Chronology & Events
- Global Clients for AWS, Azure & GCP
- Setting up Free Tire Accounts on Respective Cloud Platforms
- Pricing Models offered
AWS
- About Region and Availability Zone
- About Edge Locations
- Cloud Legal & Compliance Overview of AWS
- EC2 Essentials
- Launching a new EC2 Instance
- Types of instances offered by AWS in EC2
- About Amazon Machine Image
- EBS Volumes & Use Cases
- EBS Snapshot and Scenarios
- What is an Elastic IP
- AWS Pricing & Calculating
- Introduction to AWS Cloud Networking services
- Over View of Virtual Private Cloud
- Creation of Public & Private Subnets
- Configuring Internet Gateway & Uses
- About Network Address Translation (NAT) Gateway
- Connecting two VPCs using VPC Peering
- About Cloud Front and Advantages
- Hosting Domain using Route 53
- Creating S3 Bucket.
- Types of Storages Classes in S3 Bucket
- Versioning & Cross Region Replication
- Static Website Hosting using S3 Bucket
- About AWS Elastic File System
- AWS Glacier
- What is Relational Database Service
- Setting up RDS Instance
- About Amazon Dynamo DB
- RDS- Relational Database Services
- DynamodB
- Redshift
- Features of Database Service
- What is Identity and Access Management (IAM)
- How to Creation of Users & Groups in IAM
- Providing Authorisation & Authentication for Users & Groups
- Working with Multi Factor Authentication using MFA Device
- AWS Cloud Watch
- Simple Notification Service (SNS)
- Amazon Simple Queue Service (SQS)
- Decision tree and random forest models
- Decision tree and random forest models
GCP
- Creation of Cloud Projects and Accounts
- How to Managing Billing Configurations
- Installing and Configuring the Command Line Interface (CLI), specifically the Cloud SDK (e.g., setting the default project)
- GCP Products Pricing Calculator
- How to Compute Resources on GCP
- Data Storage options in Google Cloud Platform
- Configuring Network Resources
- Launching Compute Engine Resources in Google Cloud
- Working with GCP Kubernetes Engine Resources
- Use Cases of Google Cloud App Engine and Cloud Functions Resources
- Implementing GCP Data Solutions
- Setting up Google Cloud Platform Networking Resources
- Providing Solution using Google Cloud Launcher
- Application using GCP Deployment Manager
- Ways of Managing Compute Engine Resources
- Using Google Cloud Platform Kubernetes Engine Resources
- Using GCP App Engine Resources
- Using GCP Data Solutions
- Ways of Managing Networking Resources in Google Cloud
- Google Cloud Monitoring
- Identity and Access Management (IAM)
- Handling GCP Service Accounts
- Audit Logs for Project and Managed Google Cloud Platform Services
- Decision tree and random forest models
Azure
- About Azure Subscriptions and Resources
- Ways of Storage Implementation and Management
- Configuring VMs and Managing them
- Configuring Virtual Network
- Azure Active Directory for Managing Identities
- Strategies for Server Migration to Azure
- Application Services Implementation and Management
- Advanced Virtual Networks
- Azure AD Securing Identities in Cloud
- Azure Design and Connectivity Patterns
- Hybrid Networking
- Durability of Data and Caching
- Measure Throughput and Structure of Data Access
- Using Shell Commands to Create a App Service Web App
- Creating Background Tasks
- Swagger to Document an API
- Create a Reliable Service & Actors App
- Reliable Collections
- Azure Container Registry & instances
- Message-Based Integration Architecture
- Developing Asynchronous Processing
- Autoscaling & Uses Cases
- Azure Cognitive Services
- Existing Solutions Integration with External Identity Providers using Azure AD B2B or B2C
- Design a Hybrid Identity Solution in Azure
- Advanced Features of Azure AD like Managed Service Identity(MSI), MFA and Privileged Identity Management
- Securing Application Secrets Via Key Vault
- SQL Database and Azure Storage
- APIs available in Cognitive Services
- Face API, Speech API or Language Understanding (LUIS) service
- Relationship to Bot Framework and Azure Bot Services
- Price Calculation for Storage Based Services
- Identify Performance Thresholds for the Azure Storage Services
- Type of Storage Blobs to use for Specific Solution Components
- Azure Files Service for SMB Operations
- StoreSimple Physical or Virtual Devices
- Monitoring Services for Applications like The Azure Platform and Networking
- Backup Options for Infrastructure and Data Hosted in Azure
- Deployment Automation of Future Resources for Backup Recovery or Scaling Purposes
- Create & Adding Resources to Azure Resource Group
- Deploying an ARM Template to Azure Resource Group Integrate an API or Logic App with the API Management service
- Design an App Service Plan or Multi-Region Deployment for High Performance and Scale
- Integration of API or Logic App with the API Management Service
- Types Patterns Pulled from Cloud Design Patterns
- Configuring Load Balancer & Distribute Network Traffic Across Multiple Loads
- Hybrid Connectivity
- Design an Availability Set for One or More Virtual Machines
- Fault and Update Domains
- VM Scale Set ARM Template
- Decision tree and random forest models
Machine Learning
- AWS - Machine Learning
- Microsoft Azure - Machine Learning Studio
- GCP - Google Cloud Machine Learning (ML) Engine
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