Microsoft Azure Architect
This program is intended for IT professionals who are familiar with managing on-premises IT deployments that include AD DS, virtualization technologies, and applications. This program also is intended for IT professionals who want to take the Microsoft Certification exam, 70533, Implementing Azure Infrastructure Solutions.
Module 1: Azure Fundamentals
Module 2:Azure Storage
Module 3:Azure File Storage
Module 4:Azure Blob Storage
Module 5:Azure Table Storage
Module 6:Azure Queue Storage
Module 7:Azure CDN
Module 8:Azure Virtual Networks Overview
Module 9:Azure Web Apps
Module 10:Azure Virtual Machines
Module 11:Azure Cloud Services
Module 12:Azure SQL Database
Module 13:Provisioning Infrastructure PowerShell
Module 14:Azure HDInsight
Module 15:Azure Mobile Service
Module 16:Developing on Azure
Module 17:Azure Business Continuity & Disaster Recovery
Module 18:Azure Automation
Implementing Microsoft Azure Infrastructure Solutions
This course is intended for IT professionals who are familiar with managing on-premises IT deployments that include AD DS, virtualization technologies, and applications. The students typically work for organizations that are planning to locate some or all of their infrastructure services on Azure. This course also is intended for IT professionals who want to take the Microsoft Certification exam, 70-533, Implementing Azure Infrastructure Solutions.

Module 1: Introduction to Azure
Module 2:Implementing and managing Azure networking
Module 3:Implementing virtual machines
Module 4:Managing virtual machines
Module 5:Implementing Azure App services
Module 6:Planning and implementing storage, backup, and recovery services
Module 7:Planning and implementing Azure SQL Database
Module 8:Implementing PaaS cloud services
Module 9:Implementing Azure Active Directory
Module 10:Managing Active Directory in a hybrid environment
Module 11:Implementing Azure-based management and automation
Advanced Google Cloud Professional Cloud Developer
In this course, application developers learn how to design, develop, and deploy applications that seamlessly integrate components from the Google Cloud ecosystem. Through a combination of presentations, demos, and hands-on labs, participants learn how to use GCP services and pre-trained machine learning APIs to build secure, scalable, and intelligent cloud-native applications.

Module 1:Best Practices for Application Development
Module 2:Google Cloud Client Libraries, Google Cloud SDK, and Google Firebase SDK
Module 3: Overview of Data Storage Options
Module 4:Best Practices for Using Google Cloud Datastore
Module 5 :Performing Operations on Buckets and Objects
Module 6 :Best Practices for Using Google Cloud Storage
Module 7 :Handling Authentication and Authorization
Module 8 :Using Google Cloud Pub/Sub to Integrate Components of Your Application
Module 9 :Adding Intelligence to Your Application
Module 10 :Using Google Cloud Functions for Event-Driven Processing
Module 11 :Managing APIs with Google Cloud Endpoints
Module 12 :Deploying an Application by Using Google Cloud Cloud Build, Google Cloud Container Registry, and Google Cloud Deployment Manager
Module 13 :Execution Environments for Your Application
Module 14 :Debugging, Monitoring, and Tuning Performance by Using Google Stackdriver
Google Cloud Professional Data Engineer
The purpose of this course is to help those who are qualified develop confidence to attempt the exam, and to help those not yet qualified to develop their own plan for preparation.

Training Outcomes
Design and build data processing systems on Google Cloud Platform
Process batch and streaming data by implementing auto scaling data pipelines on Cloud Dataflow
Derive business insights from extremely large datasets using Google BigQuery
Train, evaluate and predict using machine learning models using Tensorflow and Cloud ML
Leverage unstructured data using Spark and ML APIs on Cloud Dataproc
Enable instant insights from streaming data

Module 1:Understanding the Professional Data Engineer Certification
Module 2:Sample Case Studies for the Professional Data Engineer Exam
Module 3:Designing and Building
Module 4 Analyzing and Modeling
Module 5: Reliability, Policy, and Security
Module 6:Resources and next steps
Google cloud Professional Cloud Network Engineer
A Professional Cloud Network Engineer implements and manages network architectures in Google Cloud Platform. This individual has at least 1 year of hands-on experience working with Google Cloud Platform and may work on networking or cloud teams with architects who design the infrastructure. By leveraging experience implementing VPCs, hybrid connectivity, network services, and security for established network architectures, this individual ensures successful cloud implementations using the command line interface or the Google Cloud Platform Console.

Training Outcomes
Prior understanding of the OSI 7-layer model
Prior understanding of IPv4 addressing
Prior experience with managing IPv4 routes

Module 1: Designing, Planning, and Prototyping a GCP Network
Module 2:Implementing a GCP Virtual Private Cloud (VPC)
Module 3:Configuring Network Services
Module 4:Implementing Hybrid Interconnectivity
Module 5 :Implementing Network Security
Module 6 : Managing and Monitoring Network Operations
Module 7 :Optimizing Network Resources
GOOGLE CLOUD Associate Cloud Engineer
Prepares to take and pass the GCP Associate Cloud Engineer Exam
Manage your GCP Cloud environment more efficiently Learn how to use the GCP gcloud commands. Learn to size App Engine and Bigquery Learn .Teaches to Secure Compute Engine Learn the required kubernetes commands.Understand Billing in GCP How to secure the GCP cloud with IAM and Cloud Identity Prepare for the exam and pass

Training Outcomes
Set up a Google Cloud environment, including billing accounts, projects, tools, access, and security
Plan, configure, implement, deploy, monitor, and manage solutions in the Google Cloud
Get familiar with using the Google Cloud through both the console and the command-line
Pass the Associate Cloud Engineer certification exam
Build a strong foundation for other GCP certification exams

Module 1:Setting up a cloud solution environment
Module 2:Planning and configuring a cloud solution
Module 3:Deploying and implementing a cloud solution
Module 4: Ensuring successful operation of a cloud solution
Module 5: Configuring access and security
Module 6: DevOPS
Developing on AWS
An in-depth knowledge of 1 or more high-level programming language. An understanding of the core AWS uses, services, and basic architecture best practices. A proficiency in developing, designing, and deploying any cloud-based solution with use of AWS
Training Outcomes
You will understand the absolute basics of cloud computing.
You will be able to design, build and deploy cloud based solutions.
Become proficient with AWS and Azure or Google Cloud.
Strong understanding of Containers and Microservices to architect applications.
Learn both the fundamental aspects of Big Data – Infrastructure & Analytics.
Become conversant with DevOps on Cloud.Truly understand the power of cloud by working on multiple managed services.
Module 1: Building the Foundation
Module 2: Connecting Applications and Data with Event-Driven Processing
Module 3: Developing and Deploying Secure, Scalable Application
Azure Container Service
Working with containers provides a lot of benefits. They are a lot faster to spin up and shut down than virtual machines. They run everywhere, which gives you the benefit of having the exact same environment locally as in production. And because they run everywhere, you can run them in any cloud or on-premises, which prevents you from being locked in by any hosting vendor.
My preferred way to run containers is in Azure. And Azure provides a lot of options to run containers in the cloud, each with their own features, pricing and complexity. The simplest way to run a container in Azure is with the Azure Container Instances service.
Azure Container Instances allows you to run a container without provisioning virtual machines or having to use container orchestrators like Kubernetes or DC/OS. Container Instances are useful when you just want a container without orchestration.
Training Outcomes
Create containerized services using Docker.
Manage containers and container images.
Create custom container images.
Deploy containerized applications on Azure.
Deploy multi-container applications.
Module 1: Getting Started
Module 2:Microsoft Azure - Local Environment Setup
Module 3:Docker - Fundamentals
Module 4:Container Services
Azure Cloud Service
Microsoft Azure is an emerging market-leader and one we want to help you get up to speed with. Our Microsoft Azure Training Library is a portion of our training platform that is experiencing exponential growth. Whether you are looking to study for an Azure Certification or simply want to find out more about what this vendor can offer your enterprise, we have curated an initial content selection to get you excited for MS Azure.

Module 1: Azure Cloud Service
Overview of Cloud Computing and Microsoft Azure
Building Application Infrastructure in Azure using Virtual Machines
Hosting Web Applications on the Azure Platform
SQL Data Storage in Azure
Designing Resilient Cloud Applications
Storing Unstructured Data in Azure
Storing and Consuming Files from Azure Storage
Designing a Communication Strategy by Using Queues and Service Bus
Automating Integration with Azure Resources
Azure Web Applications Security
DevOps in Azure
Azure with Machine Learning,IoT, Analytics & Monitoring Management
Create an Azure Machine Learning module Push a module container to an Azure container registry. Deploy an Azure Machine Learning module to your IoT Edge device. View generated data
Training Outcomes
Internet of Things is considered as the next big technology revolution after invention of Internet. 
Module 1: Implementing Azure App Service
Module 2:Planning and implementing storage, backup, and recovery services
Module 3:Implementing containers in Azure
Module 4:Implementing Azure Cloud Services
Module 5:Implementing Azure Active Directory
Module 6:Managing an Active Directory infrastructure in a hybrid environment
Module 7:Implementing Azure-based management and automation Automation
Module 8:Data Base
Module 9:Analytics
Module 10:AI + Machine Learning & IOT
Module 11:Monitoring management
AWS Certified SysOps Administrator Associate Level
Amazon Web Services (AWS) Certification is fast becoming the must have certificates for any IT professional working with AWS. Are you wondering how to prepare for AWS certification? Well, this course is designed to help you pass the AWS Certified SysOps Administrator Associate Exam for 2019.Are you wondering how to get AWS Certification? In this course we will start with CloudWatch, the main monitoring solution offered by AWS. We’ll explore different CloudWatch metrics and how to analyse these metrics. We’ll then move on to High Availability and how we can build highly resilient and fault tolerant architectures in the cloud. We then explore deployment and provisioning, data management, OpsWorks, Security on AWS and Networking. AWS Certification Sysops is one of the key IT certifications to have today. AWS SysOps Certification will open doors to all kinds of new job opportunities. Don’t rely on AWS SysOps Certification Dumps, learn the core skills needed to pass the exam. If you are wondering how to pass AWS certification then this is the course for you.

Module 1: Introduction
Module 2: Foundations for SysOps Administrator
Module 3: Designing Highly Available Fault Tolerant Scalable Systems
Module 4: Data Security
Module 5: Deploying a business application
AWS Certified Solutions Architect - Professional
Amazon Web Services (AWS) is the most popular and most widely used Infrastructure as a Service (IaaS) cloud in the world. If you’re an administrator, engineer, architect or consultant looking to familiarize yourself with AWS, this is the course for you. In AWS Certified Solutions Architect – Professional, you will learn advanced design principles, such as strategies for consolidated billing. You’ll also learn about AWS cross account access and various connectivity methods to AWS. Finally, you’ll also cover Directory services, data management, analytics, and much more. When you’re finished with this course, you’ll have the skills and knowledge needed to securely design advanced implementations using various AWS services, and you’ll also be highly prepared for the AWS Certified Solutions Architect Professional certification exam.
Module 1: High Availability & Business Continuity
Module 2: Costing & Account Management
Module 3: Deployment Management
Module 4: Network Design
Module 5: Data Storage
Module 6: Security
Module 7:Scalability & Elasticity
Module 8:Cloud Migration & Hybrid
AWS Certified DevOps Engineer Associate Level
Define what the AWS Cloud is and the basic global infrastructure & AWS Cloud architectural principles Define a solution using architectural design principles based on customer requirements & Provide implementation guidance based on best practices to the organization throughout the life cycle of the projectDescribe key services on the AWS platform and their common use cases (for example, compute and analytics)Describe basic security and compliance aspects of the AWS platform and the shared security model & Define the billing, account management, and pricing modelsImplement and manage continuous delivery systems and methodologies on AWS & Understand, implement, and automate security controls, governance processes, and compliance validation Define and deploy monitoring, metrics, and logging systems on AWS & Design, manage, and maintain tools to automate operational processesRun Jenkins CI on AWS, implement, deploy and configure CI/CD pipelines with PHP, Python, and Java Applications

Module 1:Introduction to the Course
Module 2: Identity Access Management (IAM)
Module 3:EC2 & Getting Setup
Module 4:S3
Module 5:Databases Overview & Concepts
Module 6:DynamoDB01
Module 7:Simple Notification Service (SNS)
Module 8:Simple Workflow Service (SWF)
Module 9:ElasticBeanstalk
Module 10:CloudFormation
Module 11:AWS Shared Responsibility
Module 12:Route53 & DNS
Module 13:Virtual Private Cloud (VPC)
AWS Certified Developer -Professional Level
As per Exam Blue Print, will gain knowledge on what it will take to pass AWS Certified Devops Engineer Professional Certification .Code Services, CloudFormation, Elastic Beanstalk, CloudWatch, OpsWorks, CloudTrail, EBS, AutoScaling, DynamoDB, RDS, Secrets Manager, Step Functions and Other AWS Services

AWS Certified Developer – Associate or AWS Certified SysOps Administrator – Associate certification
Every Student Will Need An AWS Account
A Windows, Linux or Mac PC/Laptop

Training Outcomes
Pass the AWS Certified Solutions Architect – DevOps Engineer Professional Exam
Become Intimately Familiar With The AWS Platform
Become Amazon Certified

Module 1:Introduction
Module 2: Core Concepts
Module 3:CI/CD/Automation
Module 4:Monitoring/Metrics/Logging
Module 5:Security/Governance/Validation
Module 6:High Availability and Elasticity
Module 7:Operations