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Our AWS DevOps training in Toronto helps you to gain expertise in this rapidly growing field. The curated content on the latest AWS methodologies and tools lets you stand out in your career as a Certified AWS DevOps practitioner. This online course blends hands-on use cases and projects into the learning to support your career enhancement.
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Course PreviewAWS DevOps course in Toronto focuses on the content aimed to deliver training on the DevOps toolchain, AWS Management Console, version control systems, Elastic Block Storage, Amazon ElasticCache, Object Storage, and various other essential modules.
Below are a few of the most essential modules that are covered in our AWS DevOps training in Toronto:
Here are some of the pros and cons of using AWS DevOps:
| Pros | Cons |
| Improved collaboration | Complexity |
| Increased agility | Security risks |
| Reduced costs | Skills gap |
| Improved reliability | Culture shift |
People with enthusiasm in the field of AWS DevOps can take up the course to gain better opportunities in the field. However, prior knowledge of administering Windows and command-line execution might ease the learning of the subject.
The below facts might interest you in joining our AWS DevOps certification course in Toronto:
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EC2 (Elastic Cloud Compute)
EBS(Elastic Block Store)
VPC(Virtual Private Cloud)
Storage Services
RDS(Relational Database Services)
IAM(Identity Access Management)
Load Balancer and Auto Scaling
Cloud Formation
Elastic Beanstalk
Lambda
Code Deploy
Code Build
Code Pipeline
GIT
Docker
Puppet
Ansible
Jenkins
Kubernetes
Nagios
Terraform
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1.1 What is cloud computing?
1.2 How is AWS the leader in the cloud domain?
1.3 Various cloud computing products offered by AWS
1.4 Introduction to AWS S3, EC2, VPC, EBS, ELB, AMI
1.5 Getting a detailed understanding of the AWS architecture and the AWS Management Console
1.6 Introduction to AWS EC2
1.7 Comparing Public IP and Elastic IP
1.8 Demonstrating how to launch an AWS EC2 instance
1.9 What is autoscaling?
1.10 AWS EC2 best practices and cost involved
1.11 Understanding various concepts of backup services in AWS
2.1 Elastic Block Storage (EBS) for block level persistent storage volumes with S3 buckets
2.2 Understanding Amazon RDS and Amazon Aurora which are relational databases
2.3 Amazon DynamoDB which is a NoSQL database
2.4 Understanding Amazon Redshift which is a data warehousing product
2.5 Amazon ElasticCache which is an in-memory data store
2.6 Deploying AWS database migration service
3.1 Introduction to AWS storage
3.2 AWS S3 (Simple Storage Service)
3.3 Creating an AWS S3 bucket
3.4 AWS Storage Gateway
3.5 Understanding the Command Line Interface (CLI)
3.6 Hosting a static website using Amazon S3
3.7 Amazon Glacier storage for long-term data backup and archiving
3.8 Amazon Snowball for data import/export
4.1 Understanding Fault Tolerance in AWS
4.2 In-depth study of Elastic Load Balancing
4.3 The types of Load Balancers viz. Classic and Application
4.4 AWS Auto Scaling mechanism
4.5 Understanding AWS Management Console
4.6 How do I access elastic load balancing?
4.7 Studying AWS SDK, AWS CLI, and Https Query API
5.1 What is Amazon VPC?
5.2 VPC as a networking layer for EC2
5.3 Getting started with VPC
5.4 Examples
5.5 VPC and Subnets
5.6 Default and non-default VPCs
5.7 Components of VPC networking
5.8 IP addressing
5.9 Security
5.10 VPN connections
5.11 Accessing the internet
5.12 Using AWS PrivateLink to access the services
5.13 VPC supported platforms
6.1 Introduction to various AWS application services
6.2 Elastic Beanstalk
6.3 Simple Email Services (SES)
6.4 Simple Notification Service (SNS)
6.5 AWS Lambda
6.6 Elastic OpsWorks and CLI
7.1 Authentication (who can use) and Authorization (level of access)
7.2 IAM Policies – JSON structure, users, groups and their Roles
7.3 IAM HTTPS API
7.4 Logging IAM events with AWS CloudTrail
7.5 Monitoring and managing AWS resources using CloudWatch
7.6 Deploying configuration alerts and notifications with CloudWatch
7.7 Billing for CloudWatch
8.1 Configuration management and automation of server configuration using OpsWorks
8.2 Determining how servers are configured, managed and deployed across EC2 instances
8.3 Creating a virtual machine using Amazon Machine Image (AMI)
8.4 Introduction to the Domain Name Registration Service AWS Route 53
8.5 How to route internet traffic to resources?
8.6 Checking the health of resources automatically
8.7 Provisioning of infrastructure resources using AWS CloudFormation
9.1 Important guidelines for creating a well-architected AWS framework that is resilient and performant
9.2 Designing fault-tolerant and high-availability architecture, resilient storage, decoupling mechanism, multi-tier architecture solution, disaster recovery solution, scalable and elastic solutions
10.1 Guidance for clearing the exam
10.2 Most probable interview questions and other helpful tips for clearing the exam and interview
11.1 Migrating to the AWS cloud
11.2 Business drivers for migration
11.3 Various stages of cloud adoption
11.4 The actual migration process
11.5 Migration tools and services in AWS
11.6 Migrating customers to AWS cloud
11.7 Track the progress of application migration
11.8 Types of migration including data migration, application migration and databases migration
12.1 AWS cloud security essentials
12.2 Penetration testing
12.3 Security compliance
12.4 Infrastructure security
12.5 Mitigating DDOS
12.6 Identity and Access Control (IAM)
12.7 Logging and monitoring
12.8 Automatic audits and compliance
12.9 Limitations and challenges of native AWS security
13.1 Installation of DevOps Tools on AWS
14.1 What is software development?
14.2 Software Development Life Cycle
14.3 Traditional Models for SDLC
14.4 Why DevOps?
14.5 What is DevOps?
14.6 DevOps Lifecycle
14.7 DevOps Tools
15.1 What is Version Control?
15.2 Types of Version Control System
15.3 Introduction to SVN
15.4 Introduction to Git
15.5 Git Lifecycle
15.6 Common Git Commands
15.7 Working with Branches in Git
15.8 Merging Branches
15.9 Resolving Merge Conflicts
15.10 Git Workflow
16.1 Introduction to Docker
16.2 Understanding Docker Lifecycle
16.3 Components of Docker Ecosystem
16.4 Common Docker Operations
16.5 Creating a DockerHub Account
16.6 Committing changes in a Container
16.7 Pushing a Container Image to DockerHub
16.8 Creating Custom Docker Images using Dockerfile
17.1 What are Docker volumes?
17.2 Deploying a Multi-Tier Application using Docker Network
17.3 Using Docker Compose to deploy containers
17.4 What is container orchestration?
17.5 Container Orchestration Tools
17.6 Introduction to Docker Swarm
17.7 Deploying a 2-Node Cluster using Docker Swarm
18.1 Need for Configuration Management
18.2 Configuration Management Tools
18.3 What is a puppet?
18.4 Puppet Architecture
18.5 Setting up Master Slave using Puppet
18.6 Puppet Manifests
18.7 Puppet Modules
18.8 Applying Configuration using Puppet
18.9 Puppet File Server
19.1 What is Ansible?
19.2 Ansible vs Puppet
19.3 Ansible Architecture
19.4 Setting up Master Slave using Ansible
19.5 Ansible Playbook
19.6 Ansible Roles
19.7 Applying configuration using Ansible
20.1 What is continuous testing?
20.2 What is Maven?
20.3 Running Test Cases on Chromium Web Driver
20.4 What is Headless Mode?
21.1 Introduction to Continuous Integration
21.2 Jenkins Master Slave Architecture
21.3 Understanding CI/CD Pipelines
21.4 Creating an end to end automated CI/CD Pipeline
22.1 Introduction to Kubernetes
22.2 Docker Swarm vs Kubernetes
22.3 Kubernetes Architecture
22.4 Deploying Kubernetes using Kubeadms
22.5 Alternate ways of deploying Kubernetes
22.6 YAML Files
22.7 Creating a Deployment in Kubernetes using YAML
22.8 Services in Kubernetes
22.9 Ingress in Kubernetes
23.1 What is continuous monitoring?
23.2 Introduction to Nagios
23.3 Nagios Architecture
23.4 Monitoring Services in Nagios
23.5 What are NRPE plugins?
23.6 Monitoring System Info using NRPE plugins
24.1 How to deploy DevOps principles and methodology on the AWS platform
24.2 DevOps lifecycle and the important stages in the DevOps methodology
24.3 What is AWS CodeBuild?
24.4 AWS CodeCommit
24.5 AWS CodePipeline
24.6 AWS CodeDeploy
25.1 Installing Terraform – Windows Users
25.2 Installing Terraform – Linux Users
25.3 Choosing Right IDE for Terraform IAC development
25.4 Creating first EC2 instance with Terraform
25.5 Terraform Code – First EC2 Instance
25.6 Understanding Resources and Providers
25.7 Destroying Infrastructure with Terraform
25.8 Destroying Specific Resource
25.9 Understanding Terraform State files
25.10 Understanding Desired and Current States
25.11 Challenges with the current state of computed values
25.12 Terraform Commands – State Files
25.13 Terraform Provider Versioning
25.14 Types of Terraform Providers
25.15 Understanding Attributes and Output Values in Terraform
25.16 Attribute Resource (Document)
25.17 Referencing Cross-Account Resource Attributes
25.18 Terraform Variables
25.19 Data Types for Variables
25.20 Fetching Data from Maps and List in Variable
25.21 Terraform Format
25.22 Validating Terraform Configuration Files
26.1 What is Infrastructure as Code?
26.2 Infrastructure as Code (IaC) vs Configuration Management (CM)
26.3 Introduction to Terraform
26.4 Installing Terraform on AWS
26.5 Basic Operations in terraform
26.6 Terraform Code Basics
26.7 Deploying and end-to-end architecture on AWS using Terraform
AWS DevOps Projects Covered
Our course is designed with a motive to help learners to develop skills in AWS and DevOps. This course will help you fetch the highest-paying jobs in top MNCs. As part of this training, you will be working on real-time projects and assignments that have immense implications in real-world industry scenarios, thereby empowering you to fast-pace your career.
At the end of this training program, there will be a Capstone Project that perfectly investigates your grasp on the subject.
Intellipaat Course Completion Certificate will be awarded upon the completion of the project work (after expert review) and upon scoring at least 60 percent marks in the quiz. Our certification is well recognized in top 80+ MNCs like Ericsson, Cisco, Cognizant, Sony, Mu Sigma, Saint-Gobain, Standard Chartered, TCS, Genpact, Hexaware, etc.
Land Your Dream Job Like Our Alumni
Intellipaat’s AWS DevOps Training gives you hands-on experience which is demanded by some of the biggest corporations in the world. You can master the concepts of AWS and DevOps, along with working on step-by-step assignments that have high relevance in the corporate world, and the curriculum of this course is designed by industry experts. Upon the completion of the training course, you can apply for some of the best jobs in top MNCs around the world as Devops and AWS Professionals. Intellipaat offers lifetime access to our videos, course materials, 24/7 support, and course material upgrading to the latest version at no extra fee. Hence, it is a one-time investment.
In Toronto, we provide various AWS DevOps-related Cloud Computing programs like AWS Developer, AWS Sysops, AWS Technical Essentials, AWS, Blockchain, DevOps, and Azure.
Intellipaat offers query resolution, and you can raise a ticket with the dedicated support team at any time. You can avail yourself of email support for all your queries. We can also arrange one-on-one sessions with our support team If your query does not get resolved through email. However, 1:1 session support is given for 6 months from the start date of your course.
Intellipaat provides placement assistance to all learners who have completed the training and moved to the placement pool after clearing the PRT (Placement Readiness Test). More than 500+ top MNCs and startups hire Intellipaat learners. Our alumni work with Google, Microsoft, Amazon, Sony, Ericsson, TCS, Mu Sigma, etc.
No, our job assistance is aimed at helping you land your dream job. It offers a potential opportunity for you to explore various competitive openings in the corporate world and find a well-paid job, matching your profile. The final hiring decision will always be based on your performance in the interview and the requirements of the recruiter.