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Cloud Architect Masters Program

#No. 1 Job Oriented Program

Prepzee’s Cloud Master training has been curated to help you master the domain of AWS, Azure, Python and DevOps. This will help you become a multi-cloud expert.

  • Learn from the leading industry experts with experience
  • Get practical exercises to supplement theoretical learning
  • Learn advanced tools to analyze and interpret data

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Career Transition

This program is for you if

Program Overview

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    150+ Hours of Live Training

    Real-time Job oriented training approach to make you industry ready.

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    140+ Hours Hands-on & Exercises

    Learn by doing 100’s of labs in your learning journey.

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    20+ Projects & Case Studies

    Get a feel of cloud professionals by doing real-time projects.

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    Learn from the Top 1% of Experts

    Instructors are Amazon Authorized & Microsoft certified trainers.

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    Lifetime Live Training Access

    Attend multiple batches until you achieve your Dream Goal.

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    24*7 Technical Support

    Call us, E-Mail us whenever you stuck.

What You will Learn in the Program?

  • Module 1

    TOP 30 Linux commands you’ll actually use in your life

    3 Hours
    • Linux basic commands
    • Commands for working with files
    • Commands for working with Directories
    • Commands for working with User Permissions
    • Commands for working with Zipped files
  • Module 2

    Understand Networking Fundamentals

    3 Hours
    • Types of Networks
    • Fundamentals of IP Address
    • Fundamentals of Switch & Router
    • How does the subnet work?
    • Understanding Firewalls
    • DMZ & Port Forwarding
  • Module 3

    Concept of Cloud Computing

    3 Hours
    • Why Cloud Computing?
    • What is Cloud Computing?
    • Virtualization Concepts
    • Different Cloud Models
    • Cloud Application Services
    • IAAS, PAAS, SAAS
  • Module 4

    Clear AWS Solutions Architect Certification

    36 Hours
    • Start your cloud Journey with AWS Services
    • EC2 – Most used AWS Service
    • IAM – Identity Access Management
    • S3 – Simple Storage Service
    • Auto Scaling
    • EBS, EFS, Lambda
    • RDS, Dynamo DB, Amazon Redshift
    • VPC, Route53, Cloudfront
  • Module 5

    Execute 3 Real-Time Projects on AWS

    10 Hours
    • Project 1 : Design Infrastructure to Host the Web Application
    • Project 2 : Build a Serverless Web Application
    • Project 3 : Build an Amazon Connect Call Center
  • Module 6

    AWS Soln Architect Certification Preparation

    5 Hours
    • Solve AWS Solutions Architect Associates Sample Exam Papers
    • Multiple Quizzes
    • Mock Certification Exam
  • Module 7

    Clear Microsoft Azure 104 Certification

    36 Hours
    • Introduction to Microsoft Azure
    • Azure CLI, Azure Powershell
    • Introduction to Azure ARM & Storage
    • Azure File Storage
    • Azure Content Delivery Manager (CDN)
    • Work on Azure Virtual Machines
    • Azure App & Container Services
    • Azure Networking
    • Azure Load balancers
    • Azure Firewalls
    • Express Route Circuits
    • Authentication in Azure
    • Azure Active Directory
    • Azure Monitoring
  • Module 8

    Execute 3 Real-Time Projects on Azure

    10 Hours
    • Project 1: Manage Identities using Azure Active directory
    • Project 2: Work on Azure Resources using Azure PowerShell
    • Project 3: Use Azure CLI Provision to Leverage the Environment
  • Module 9

    Microsoft Azure AZ 104 Certification Preparation

    5 Hours
    • Solve Sample Exam Papers
    • Multiple Quizzes
    • Mock Certification Exam
  • Module 10

    DevOps Certification Training

    36 Hour
    • Introduction to DevOps
    • Version Control with GIT
    • Containerization using Docker
    • Configuration Management using Ansible
    • Continuous Testing using Selenium
    • Continuous Integration with Jenkins
    • Continuous orchestration using Kubernetes
    • Continuous Monitoring with ELK
    • Terraform Modules and Workspaces
  • Module 11

    Execute 3 Real-Time Projects on DevOps

    10 Hours
    • Project 1 – Create an Application with an API and deploy it to Kubernetes
    • Project 2 – Use Docker Containers to deploy a containerized application
    • Project 3 – Create a Monitoring Dashboard for an Application
  • Module 12

    Python Certification Training

    32 Hours
    • Python Language basic Constructs
    • OOP concept in Python
    • Database Connection
    • NumPy for Mathematical Computing
    • SciPy for Scientific Computing
    • Matplotlib for data visualization
    • Pandas
    • Exception Handeling
    • Packages and Functions
    • Web Scraping with Python
  • Module 13

    Execute 3 Real-Time Projects on Python

    10 Hours
    • Detecting a Face Mask
    • Build a Currency converter to convert currency
    • Build a Content Aggregator from Scratch
  • Final Module

    Capstone Project

    10 Hours
    • Work on a Major Project where you will be using Azure with DevOps, AWS with DevOps to build a end to end Solution.

Program Creators

Neeraj

Amazon Authorised Instructor

14+ Years of experience

Sidharth

Amazon Authorised Instructor

15+ Years of experience

Nagarjuna

Microsoft Certified Trainer

12+ Years of experience

KK Rathi

Microsoft Certified Trainer

17+ Years of experience

Where Will Your Career Take Off?

  • Cloud Architect

    Design complex cloud architectures spanning AWS and Azure, integrating DevOps principles, and leveraging Python for automation.

  • Solution Architect

    Create end-to-end solutions combining AWS, Azure services with DevOps practices and Python for seamless integration

  • Infrastructure Engineer

    Manage cloud infrastructure on AWS, Azure, utilizing DevOps practices, and automating tasks with Python scripting

  • Cloud Consultant

    Offer expertise in AWS, Azure, DevOps, and Python to advise businesses on cloud strategies, architecture, and optimization.

  • Automation Engineer

    Automate tasks, deployments on AWS, Azure using DevOps practices, and Python scripting for efficient workflow automation.

  • Cloud Engineer

    Design, deploy, and manage cloud solutions across AWS and Azure, implementing DevOps practices for efficient operations

Skills Covered

Tools Covered

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Placement Overview

  • 500+
    Career Transitions
  • 9 Days
    Placement time
  • Upto 350%
    Salary hike
  • Download report

Cloud Architect Masters ProgramLearning Path

Course 1

online classroom pass

AWS Solutions Architect

AWS Solutions Architect Certification Training Course will familiarize you with AWS Architecture, different models of Cloud Computing, VPC, AMI, EBS, ELB; you learn to set up an AWS account, launch an EC2 instance as well as a Linux Virtual Machine with the help of that.

1.1: What is AWS?

1.2: What is Cloud Computing?

1.3: Cloud Computing Service and Deployment Models

1.4: AWS vs. Azure vs. GCP

1.5: AWS Services

1.6: Benefits of AWS

1.7: AWS: Cloud Computing Products

1.8: AWS S3, VPC, EC2 Overview

1.9: Introduction to EBS, AMI, ELB

1.10: AWS Management Console

1.11: AWS Architecture

1.12: Virtualization 

1.13: AWS Account Overview

1.14: What is Auto-Scaling?

1.15: AWS Cloudshell

 

  • Hands On:
  • Creating your AWS Free Tier Account
  • Launching EC2 Instance and Linux Virtual Machine
  • Hosting a Website
  • Exploring Console
  • Configuring CLI

2.1: Introduction to Amazon Elastic Compute Cloud (EC2)

2.2: Benefits of EC2

2.3: EC2 Instance Types

2.4: Public IP vs. Elastic IP

2.5: Introduction to Amazon Machine Image (AMI)

2.6: Hardware Tenancy – Shared vs. Dedicated

2.7: Introduction to EBS

2.8: EBS Volume Types and Snapshots

2.9: Solid State Drive and Hard Disk Drive

2.10: Introduction to EFS

2.11: Difference between EBS and EFS

2.12: Amazon FSx

2.13: AWS Batch

  • Hands On:
  • Creating a Linux and Windows Based EC2 Instance
  • Creating Custom AMI
  • Copying AMI to another region
  • Creating EBS volume
  • Attaching EBS volume with an instance
  • Taking backup of EBS volume
  • Attaching EFS Volume to an EC2 Instance
  • Creating Snapshot
  • Mounting FSx into Windows Servers

 

3.1: Why move to Cloud Storage?

3.2: Traditional vs. Cloud Storage: Comparing Cost

3.3: Introduction to AWS Storage

3.4: Amazon S3 Architecture

3.5: Working of Simple Storage Service (S3)

3.6: Bucket Policy

3.7: Version Control in S3

3.8: S3: Policies, Storage Classes, and Pricing

3.9: S3 Select and S3 Glacier Select

3.10: Access Control List

3.11: Cross Region Replication (CRR)

3.12: Lifecycle Policy of S3 Bucket

3.13: AWS Backup

3.14: CloudFront

3.15: Snowball

3.16: Amazon Athena and Macie

  • Hands On:
  • Creating S3 Bucket
  • Object Upload to S3 Bucket
  • Object Versioning in S3
  • Establishing Lifecycle Management for all objects
  • Static Website Hosting through S3
  • Facilitate transfer and retrieval of data from Glacier
  • Creating a Backup Vault
  • Sharing File through AWS Storage Gateway

4.1: Introduction to Amazon VPC

4.2: Components of VPC: Route Tables, NAT, Network Interfaces, Internet Gateway

4.3: Benefits of VPC

4.4: CIDR Notations

4.5: IP Addresses

4.6: Network Address Translation: NAT Gateway, NAT Devices, and NAT Instance

4.7: VPC Peering with Scenarios

4.8: VPC: Types, Pricing, Endpoints, Design Patterns

4.9: Direct Connect and Private Link

4.10: Bastion Host and Auto Scaling

4.11: AWS Global Accelerator

4.12: AWS Transit Gateway

  • Hands On:
  • Creating a VPC, its subnets, and attaching it to an EC2 Instance
  • Building triad architecture with security groups
  • Using VPC Peering by connecting two instances in different VPCs
  • NAT Gateway, NACL, and Internet Gateway 

5.1: Introduction to Elastic Load Balancer

5.2: Types and Features of ELB

5.3: Components and Benefits of Application Load Balancer

5.4: Tripartite comparison between Application, Network, and Classic Load Balancer

5.5: Cross-Zone Load Balancing

5.6: Load Balancer Architecture

5.7: Auto-Scaling: Introduction, Components, Types, Groups, Lifecycle, and Benefits

5.8: Launch Configurations/Launch Templates

5.9: Load Balancer and Auto Scaling

5.10: Working of DNS

5.11: Route 53: Need and Working

5.12: Routing Policies

  • Hands On:
  • Creating a Classic, Network, or Application ELB
  • Creating and Configuring an Auto-Scale Group
  • Integrating ELB with Auto Scaling
  • Making use of Launch Template for creating ASG

6.1: Introduction to Databases

6.2: Types of Databases

6.3: Introduction to Amazon Relational Database Service (RDS)

6.4: Features and Pricing of and Read Replicas in RDS

6.5: Amazon Aurora: Introduction, Pricing, Design Patterns, and Benefits

6.6: Amazon Redshift: Introduction and Advantages

6.7: DynamoDB: Introduction, Components, Design Patterns, and Pricing

6.8: Introduction to ElastiCache

  • Hands On:
  • Launching and Modifying an RDS instance
  • Data Caching using Amazon ElastiCache
  • Creating an Aurora replica, a Multi-az Deployment, and an Aurora DB Cluster
  • Conducting CRUD operations on No-SQL Database
  • Creating a DynamoDB Table

 

7.1: Introduction to Identity Access Management (IAM)

7.2: Introduction to Amazon Resource Name (ARN) and Multi-Factor Authentication (MFA) in JSON and IAM

7.3: IAM: Policies, Roles, Permissions, Pricing, and Identity Federation

7.4: IAM: Groups, Users, Features

7.5: Introduction to Resource Access Manager (RAM)

7.6: AWS Single Sign-On (SSO)

7.7: Introduction to CloudTrail 

7.8: Introduction to CloudWatch: Architecture, Pricing, Metrics and Namespaces, Design Patterns, Alarms, Dashboards, and Logs

7.9: AWS Directory Service

  • Hands On:
  • Creating IAM users, a group, a policy, and a role
  • Creating CloudWatch dashboard
  • Building a log group, billing alarm, and a trail
  • Configuring Secure Authentication Access Mechanism through Amazon Cognito

8.1: Introduction to AWS CloudWatch

8.2: What is AWS Config

8.3: Introduction to AWS CloudTrain and Control Tower

8.4: What are AWS Organizations and License Tower

8.5: Introduction to AWS Service Catalog and Systems Manager

8.6: What is AWS Personal Health Dashboard

  • Hands On:
  • Conducting an audit of Amazon Cloud Services through AWS CloudTrail
  • Application Metrics monitoring through CloudWatch Dashboard

9.1: Introduction to AWS Simple Email Service (SES) and Simple Notification Service (SNS)

9.2: Working of SES and SNS

9.3: Working with Amazon Simple Queue Service

9.4: Comparison between Amazon SNS and SQS

9.5: Amazon MQ and Amazon Event Bridge

9.6: Amazon Simple Workflow Service (SWF)

9.7: Introduction to AWS Lambda, AWS Fargate, AWS Step Functions, AWS Elastic Beanstalk, AWS CloudFormation

9.8: Amazon Elastic Transcoder, Amazon Kinesis, and Amazon Workspaces

9.9: Advantages and Disadvantages of AWS Lambda

9.10: Elastic Beanstalk: Working, Pricing, Concepts

9.11: Introduction to AWS OpsWorks

  • Hands On:
  • Creating Lambda function and Setting up Lambda triggers and destinations
  • Monitoring EC2 instance status through the combination of SNS and EventBridge
  • Using AWS StepFunctions to create Workflows
  • Creating an Elastic Beanstalk application
  • Using JSON and YAML to create Cloud Formation templates
  • Creating a stack in OpsWorks
  • Using Beanstalk for Web Application deployment with DynamoDB

10.1: Introduction to AWS Well-Architected Framework

10.2: Designing a Well-Architected Framework 

10.3: Pillars of AWS Well-Architected Framework

10.4: How to build Highly Available and Fault Tolerant Architectures

10.5: Deciding upon Resilient Storage

10.6: Designing Decoupling Mechanisms and Multi-tier Architecture Solution

10.7: Introduction to Disaster Recovery and ways to implement the same

10.8: Guaranteeing Performance Efficiency through Selection, Review, and Monitoring

  • Hands On:
  • Website designing using Serverless Architecture

 

Course 2

online classroom pass

Microsoft Azure Administrator AZ-104

Microsoft Azure Administration will familiarize you with the main principles of cloud computing and how they have been implemented in Microsoft Azure. This course will get you up to speed on Azure services, security, privacy, compliance, trust, pricing, and support.

1.1: Cloud computing introduction

 1.2: What is Microsoft Azure?

 1.3: Microsoft Azure Services

 1.4: Creation of Microsoft Azure Account

 1.5: Azure PowerShell, Azure CLI

 1.6: Azure Resources & Subscriptions management

 1.7: Microsoft Azure Architecture

 1.8: Azure Resource Manager

  • Hands On:
  • Creating a Microsoft Azure account
  • Configuring Azure CLI
  • Configuring Azure PowerShell

 

2.1: Configure and manage Azure Policy 

2.2: Configure resource locks 

2.3: Apply and manage tags on resources

2.4: Identity Access Management

2.5: Azure Active Directory

2.6: Multi-Factor Authentication

2.7: Self-Service Password Reset

2.8: Azure AD Identity Protection

2.9: Azure AD Conditional Access

2.10: Azure AD Domains and Tenants

2.11: Azure AD Domain Services

2.12: Azure AD Join

2.13: Azure AD Single Sign-On

2.14: Manage Azure AD Objects

  • Hands On:
  • Configure Self-Service Password Reset
  • Implement Azure AD Identity Protection
  • Configure Domains and Tenants, Users and Groups
  • Enable Azure AD Domain Services

 

3.1: Network access configuration to storage accounts 

3.2: Storage account creation and configuration 

3.3: Shared access signature tokens generation

3.4: Stored access policies configuration

3.5: Access keys management

3.6: Azure AD authentication configuration for a storage account 

3.7: Storage encryption configuration

3.8: Azure Blob Storage and Azure Files configuration

3.9: Create an Azure file share 

3.10: Configure Azure Blob Storage 

3.11: Storage tiers configuration

3.12: Blob lifecycle management configuration

  • Hands On:
  • Create Azure Storage accounts
  • Manage storage using Azure Storage Explorer
  • Copy data by using AZCopy
  • Secure storage using SAS
  • Implement Blobs and Files storages
  • Implement Table storage

4.1: ARM template modification

4.2: Template deployment 

4.3: Save a deployment as an ARM template 

4.4: Deploy virtual machine (VM) extensions, create and configure VMs 

4.5: Create a VM 

4.6: Using the Azure Compute Gallery to manage images 

4.7: Azure Disk Encryption configuration

4.8: Move VMs from one to another resource group 

4.9: VM sizes management

4.10: Data disks addition 

4.11: VM network settings configuration

4.12: VM availability options configuration

4.13: Configuring and deploying VM scale sets

4.14: Creating a Linux Virtual Machine

4.15: Azure Kubernetes Service (AKS)

4.16: Azure Container Instances (ACI)

4.17: App Service

4.18: App Service Plans

  • Hands On:
  • Create Windows VMs in the Azure Portal
  • Create Windows VMs with Azure PowerShell
  • Create VMs using ARM Templates
  • Deploy custom server images
  • Configure Azure Kubernetes Service (AKS)
  • Create a Web App Service

5.1: Virtual networks and subnets creation and configuration

5.2: Create and configure Virtual network peering 

5.3: Private and public IP addresses configuration

5.4: User-defined network routes configuration

5.5: Configure Azure DNS. Configure secure access to virtual networks 

5.6: Application Security Groups (ASGs) and Network Security Groups (NSGs) creation and configuration

5.7: Effective security rules evaluation

5.8: Azure Bastion implementation 

5.9: Load balancing Monitor virtual networking troubleshooting

5.10: On-premises connectivity monitoring

5.11: Azure Monitor for networks configuration and use

5.12: Use Azure Network Watcher 

5.13: External networking troubleshooting

5.14: Virtual network connectivity troubleshooting

  • Hands On:
  • Create and Configure Point-to-Site Connection 
  • Configure Azure ExpressRoute
  • Configure Azure Virtual WAN
  • Implement Network Watcher

6.1: Metrics configuration and interpretation

6.2: Azure Monitor Logs configuration 

6.3: Alerts and actions set up

6.4: Use VM insights to configure monitoring of VMs, storage accounts, and networks

6.5: Backup and recovery implementation 

6.6: Azure Recovery Services vault creation

6.7: Azure Backup vault creation

6.8: Backup policy creation and configuration

6.9: Use Azure Backup to perform backup and restore operations

6.10: Configure Azure Site Recovery for Azure resources 

6.11: Use Azure Site Recovery to perform a failover to a secondary region 

6.12: Backup reports configuring and reviewing

  • Hands On:
  • Configure and interpret azure metrics
  • Configure Log Analytics
  • Query and analyze logs
  • Set up alerts and actions
  • Create a Recovery Services Vault
  • Backing up and restoring a Virtual Machine

 

Course 3

online classroom pass

DevOps Course

Get familiar with cloud computing and understand what is DevOps. Learn the basics of software development and its lifecycle and install DevOps Tools in the cloud. Learn about the DevOps Tools and get knowledge of the DevOps lifecycle.

1.1: What is cloud computing

1.2: What is Software Development?

1.3: Software Development Life Cycle

1.4: Traditional Models for SDLC

1.5: What is DevOps?

1.6: Why DevOps?

1.7: DevOps Lifecycle

1.8: DevOps Tools

  • Hands On:
  • DevOps architecture
  • DevOps lifecycle
  • DevOps tools
  • Software development

2.1: EC2 Walkthrough

2.2: Installation of DevOps Tools in the Cloud

  • ELK
  • Git
  • Puppet
  • Docker
  • Selenium
  • Ansible
  • Jenkins
  • Kubernetes

3.1: What is Version Control?
3.2: Types of Version Control System
3.3: Introduction to SVN
3.4: Introduction to Git
3.5: Git Lifecycle
3.6 : Common Git Commands
3.7 : Working with Branches in Git
3.8 : Merging Branches
3.9 : Resolving Merge Conflicts
3.10 : Git Workflow

  • Hands On:
  • Git Life cycle Commands
  • Stashing Code in Git
  • Creating, Deleting Git Branches
  • Pushing Code to GitHub
  • Reverting a Push to GitHub
  • Using Git to merge branches
  • Using Git rebase to merge branches
  • Using git merge tool to resolve merge conflicts 

 

4.1: Introduction to Docker

 4.2: Understanding Docker Lifecycle

 4.3: Components of Docker Ecosystem

 4.4: Common Docker Operations

 4.5: Creating a DockerHub Account

 4.6: Committing changes in a Container

 4.7: Pushing a Container Image to DockerHub

 4.8: Using Dockerfile to create Custom Docker Images

  • Hands On:
  • Common Docker Operations
  • Creating a DockerHub Account
  • Committing Changes to a Container
  • Pushing container to DockerHub
  • Creating Local Image Repository
  • Building an Image using Dockerfile

 

5.1: Need for Configuration Management

 5.2: Configuration Management Tools

 5.3: What is Puppet

 5.4: Puppet Architecture

 5.5: Using Puppet to set up Master-Slave 

 5.6: Puppet Manifests

 5.7: Puppet Modules

 5.8: Using Puppet to apply configuration

 5.9: Puppet File Server

  • Hands On:
  • Setting up Master-Slave on AWS
  • Testing Connection of nodes with Puppet
  • Creating a Manifest
  • Deploying Manifest on Node
  • Creating a Module
  • Using Puppet Modules and Manifests to deploy sample software on nodes 
  • Implementing a File Server Module on Puppet

6.1: What is Ansible?

 6.2: Ansible vs Puppet

 6.3: Ansible Architecture

 6.4: Using Ansible to set up Master-Slave 

 6.5: Ansible Playbook

 6.6: Ansible Roles

 6.7: Using Ansible for applying configuration 

  • Hands On:
  • Installing Ansible on AWS
  • Creating a Playbook using YAML
  • Creating an Ansible Role
  • Using Roles in Playbook

 

7.1: What is Continuous Testing?

 7.2: What is Maven?

 7.3: Introduction to Selenium

 7.3: Running Test Cases on Chromium Web Driver

 7.4: What is Headless Mode?

  • Hands On:
  • Using Maven to import dependencies in Eclipse
  • Implementing a headless test using Chrome WebDriver

 

8.1: Introduction to Continuous Integration

 8.2: Jenkins Master-Slave Architecture

 8.3: Understanding CI/CD Pipelines

 8.4: Creating an end-to-end automated CI/CD Pipeline

  • Hands On:
  • Creating a Jenkins Master-Slave on AWS
  • Installing Plug-ins in Jenkins
  • Creating Jenkins Builds
  • Creating Scheduled Builds
  • Triggering Jobs using Git Webhooks
  • Using the Pipeline Plugin in Jenkins

 

9.1: Introduction to Kubernetes

 9.2: Docker Swarm vs Kubernetes

 9.3: Kubernetes Architecture

 9.4: Deploying Kubernetes using Kubeadms

 9.5: Alternate ways of deploying Kubernetes

 9.6: YAML Files

 9.7: Creating a Deployment in Kubernetes using YAML

 9.8: Services in Kubernetes

 9.9: Ingress in Kubernetes

 9.10: Case Study – Kubernetes Architecture

  • Hands On:
  • Setting up Kubernetes using kubeadm
  • Installing Kubernetes using kops and GCK
  • Creating a Deployment
  • Creating Services
  • Creating an Ingress
  • Demonstrating the use of Ingress, services, and deployments together

10.1: What are volumes?

 10.2: Types of volumes

 10.3: Persistent volumes

 10.4: Introduction to secrets

 10.5: Taints and tolerations

 10.6: Introduction to Federation

 10.7: Kubernetes Monitoring

 10.8: Setting up Prometheus

 10.9: Setting up Grafana

  • Hands On:
  • Creating volumes
  • Creating Persistent Volumes
  • Creating and working with secrets, Taints, and Tolerations
  • Controlling clusters from the outside
  • Setting up and working with Prometheus
  • Setting up and working with Grafana

1.1: Agenda

 11.2: What is ELK?

 11.3: Components of ELK

 11.4: ELK Flow

 11.5: Features of ELK

 11.6: ELK installation

  • Hands On:
  • Analyzing Apache Logs with Logstash & Kibana
  • Analyzing .csv logs with Logstash & Kibana
  • Analyzing Real-Time Web Logs with Beats & Kibana

 

12.1: What is Infrastructure as a code

 12.2: IaC vs Configuration Management

 12.3: Introduction to Terraform

 12.4: Installing Terraform on AWS

 12.5: Basic Operations in Terraform

  • init
  • plan
  • apply
  • destroy

12.6 : Terraform Code Basics

 12.7 : Deploying an end-to-end architecture on AWS using Terraform

Hands-on:

  • Installing Terraform
  • Initializing AWS Terraform Provider
  • Creating an EC2 instance using Terraform
  • Updating changes to EC2 using Terraform
  • Destroying EC2 using Terraform
  • Deploying EC2 inside a custom VPC using Terraform

 

Course 4

online classroom pass

Python Training

This Python Training Course will help you familirize with all Python programming concepts like Conditional Statements, File Operations, Sequences, modules, and functions, learn Web maps, GUI programming, data operations, and various libraries such as NumPy, Pandas, and Matplotlib.The Python course prepares you to pass the PCAP, PCEP, and PCPP Python certification exams which help you become a certified developer.

1.1: Introduction to cloud computing 

1.2: Why is programming needed

1.3: Advantages of programming

1.4: Overview of Python

1.5: Organizations using Python

1.6: Python Applications in various domains

1.7: Variables

1.8: Operands and expressions

1.9: Conditional statements

1.10: Loops

1.11: Structural pattern matching

  • Hands On:
  • Creating the “hello world” code
  • Numbers in Python
  • Demonstrating conditional statements
  • Demonstrating loops

2.1: Accepting user input and eval function

2.2: Files input/output functions

2.3: Tuples

2.4: Lists

2.5: Strings manipulation

2.6: Sets and set operations

2.7: Python dictionary

  • Hands On:
  • File handling
  • Creating tuples, list
  • Creating dictionary
  • Working with sets
  • Working with strings

3.1: User-defined functions

3.2: Parameters of Function

3.3: Different types of arguments

3.4: Global keyword

3.5: Global variables

3.6: Lambda functions

3.7: Built-in functions

3.8: Object-oriented concepts

3.9: Private, protected, and public attributes

3.10: Class variable and instance variable

3.11: Constructor and destructor

3.12: Inheritance and types of inheritance

3.13: Method resolution order

3.14: Overloading and overriding

3.15: Getter and setter methods

  • Hands On:
  • Working with functions
  • Using built-in functions
  • Creating lambda functions
  • Inheritance case study
  • Implementing object-oriented concepts

4.1: Standard libraries

4.2: Packages and import statements

4.3: Reload function

4.4: Creating a module

4.5: Important modules in Python

4.6: Sys module

4.7: OS module

4.8: Date-time module

4.9: Math module

4.10: JSON module

4.11: Random module

4.12: Regular expression

4.13: Exception handling

  • Hands On:
  • Working with packages and modules
  • Creating regular expressions
  • Handling errors and exceptions

5.1: Basics of data analysis

5.2: NumPy – Arrays

5.3: Array operations

5.4: Indexing, slicing, and Iterating

5.5: NumPy array attributes

5.6: Matrix product

5.7: NumPy functions

5.8: Array manipulation

5.9: File handling using NumPy

  • Hands On:
  • Matrix Product and aggregate functions using Numpy
  • Array Creation and logic functions

6.1: Introduction to Pandas

6.2: Data structures in Pandas

6.3: Series

6.4: Data Frames

6.5: Importing and exporting files in Python

6.6: Basic functionalities of a data object

6.7: Merging of data objects

6.8: Pivoting a data frame

6.9: Concatenation of data objects

6.10: Types of joins on data objects

6.11: Data cleaning using Pandas

6.12: Exploring datasets

  • Hands On:
  • Functionality of series
  • The Functionality of data frame
  • Combining data from a dataset
  • Data cleaning

7.1: Why data visualization?

7.2: Seaborn

7.3: Matplotlib library

7.4: Line plots

7.5: Multiline plots

7.6: Bar plot

7.7: Pie chart

7.8: Histogram

7.9: Boxplot

7.10: Scatter plot

7.11: Saving charts

7.10: Customizing visualizations

7.11: Saving plots

7.12: Subplots

7.13: Heatmaps

7.14: Grids

  • Hands On:
  • Plotting different types of charts
  • Customizing visualizations using Matplotlib
  • Customizing visualizations and subplots

8.1: Ipywidgets package

8.2: Boolean widgets

8.3: Numeric widgets

8.4: String widgets

8.5: Selection widgets

8.6: Color picker

8.7: Date picker

8.8: Container widgets

8.9: Creating a GUI application

  • Hands On:
  • Creating GUI elements
  • Creating an application containing GUI elements

9.1: Use of Pandas library

9.2: Use of Folium library

9.3: Developing web map using Folium and Pandas

9.4: Flow Chart of web map application

9.5: Reading Information from a titanic dataset and representing it using plots

  • Hands On:
  • Creating web map

10.1: Beautiful Soup library

10.2: Requests library

10.3: Scrapy

10.4: Scrap All hyperlinks from a webpage using Beautiful Soup and Requests

10.5: Plotting scatterplots using Bokeh

10.6: Plotting charts using Bokeh

10.7: Face detection using OpenCV

10.8: Image editing using OpenCV

10.9: Motion detection and capturing video

  • Hands On:
  • Face detection
  • Web scraping
  • Motion detection

11.1: Basics of database management
11.2: Python MySql
11.3: Create a database
11.4: Create a table
11.5: Insert into table
11.6: Select query
11.7: Where clause
11.8: OrderBy clause
11.9: Delete query
11.10: Drop table
11.11: Update query
11.12: Limit clause
11.13: Join and Self-Join
11.14: MongoDB (Unstructured)
11.15: Insert_one query
11.16: Insert_many query
11.17: Update_one query
11.18: Update_many query
11.19: Create_index query
11.20: Drop_index query
11.21: Delete and drop collections
11.22: Limit query

  • Hands On:

CRUD operations using MongoDB and Python MySql

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