About The Program:
With the belief to build a healthy ecosystem as per the Industry Standards The Cloud Colony brings a Industrial Training/Internship Program on “AWS Cloud”. We organize Industrial Training/Internship Program for improving the knowledge and skills of the Students/Professionals, so that they can become expert in the field of AWS Cloud and get their Dream Job in Software Development Field in Big MNCs.
The Cloud Colony AWS Cloud course is a valuable resource for beginners and experts. This course will introduce you to Connecting, Managing, Deploying and Updating Cloud from Basics to Advance. If you want to become AWS Certified Solution Architect, this course is for you.
Timing
Location
Duration
Participants
What you will Learn
What you will Learn
- AWS Foundations and Services
- AWS Security & Costs
- AWS Cloud Services Overview
- Compute Services Design, Implementation & Management
- Identity and Access Management (IAM)
- Auto Scaling Solutions
-
Virtual Network Services – DNS
- AWS Application Deployment
- AWS Database Design & Deployment
- Additional AWS Services
Study Material
- E-Notes
- Assignments per day
- Weekly Tests
- 80+ hours on demand Live Video Lectures
- 24*7 Mentorship Support
- Working on Live Projects
Output
- Able to think out of the box
- Work on multiple projects and Opportunity to get Internship in REGex or in any other Other company through us
- Become ready for AWS Solution Architect Certification
- Min Annual Salary of cloud Architect is ₹6.6 LPA
Extra Sessions
Our Services
Live Sessions
Live Sessions by Expertise Trainers and Access of Recorded Session is also available
Live Projects
Get a chance to work on Industry Oriented Projects to implement your learning
24*7 Support
24*7 Mentorship Support available for all Students to clear all of your doubts
Course Content
Linux & Python
Linux
Introduction to LINUX Operating System and Basic LINUX commands
Operating System
Basic LINUX Commands
LINUX File System
File Types
File Permissions
File Related Commands
Filters
o Simple Filters
o Advanced Filters
Operating System
Basic LINUX Commands
LINUX File System
File Types
File Permissions
File Related Commands
Filters
o Simple Filters
o Advanced Filters
Python
Python Basics
Data Types
OOPS Concept
Functions
Conditional Statement & Loops
Python Libraries
Data Types
OOPS Concept
Functions
Conditional Statement & Loops
Python Libraries
AWS Solution Architect
1. Design Secure Architectures Task Statement
Design secure access to AWS resources
Access controls and management across multiple accounts
AWS Identity and Access Management [IAM], AWS Single Sign-On [AWS SSO]
AWS global infrastructure (for example, Availability Zones, AWS Regions)
AWS security best practices (for example, the principle of least privilege)
The AWS shared responsibility model Skills in:
Applying AWS security best practices to IAM users and root users (for example, multi-factor authentication [MFA])
Designing a flexible authorization model that includes IAM users, groups, roles, and policies
Designing a role-based access control strategy (for example, AWS Security Token Service [AWS STS], role switching, cross-account access)
Designing a security strategy for multiple AWS accounts (for example, AWS Control Tower, service control policies [SCPs])
Determining the appropriate use of resource policies for AWS services
Determining when to federate a directory service with IAM roles Task Statement
AWS Identity and Access Management [IAM], AWS Single Sign-On [AWS SSO]
AWS global infrastructure (for example, Availability Zones, AWS Regions)
AWS security best practices (for example, the principle of least privilege)
The AWS shared responsibility model Skills in:
Applying AWS security best practices to IAM users and root users (for example, multi-factor authentication [MFA])
Designing a flexible authorization model that includes IAM users, groups, roles, and policies
Designing a role-based access control strategy (for example, AWS Security Token Service [AWS STS], role switching, cross-account access)
Designing a security strategy for multiple AWS accounts (for example, AWS Control Tower, service control policies [SCPs])
Determining the appropriate use of resource policies for AWS services
Determining when to federate a directory service with IAM roles Task Statement
Design secure workloads and applications
Application configuration and credentials security
AWS service endpoints
Control ports, protocols, and network traffic on AWS
Secure application access
Security services with appropriate use cases (for example, Amazon Cognito, Amazon GuardDuty, Amazon Macie)
Threat vectors external to AWS (for example, DDoS, SQL injection) Skills in:
Designing VPC architectures with security components (for example, security groups, route tables, network ACLs, NAT gateways)
Determining network segmentation strategies (for example, using public subnets and private subnets)
Integrating AWS services to secure applications (for example, AWS Shield, AWS WAF, AWS SSO, AWS Secrets Manager)
Securing external network connections to and from the AWS Cloud (for example, VPN, AWS Direct Connect)
Determine appropriate data security controls
Data access and governance
Data recovery
Data retention and classification Encryption and appropriate key management Skills in:
Aligning AWS technologies to meet compliance requirements
Encrypting data at rest (for example, AWS Key Management Service [AWS KMS])
Encrypting data in transit (for example, AWS Certificate Manager [ACM] using TLS)
Implementing access policies for encryption keys
Implementing data backups and replications
Implementing policies for data access, lifecycle, and protection
Rotating encryption keys and renewing certificates
Data retention and classification Encryption and appropriate key management Skills in:
Aligning AWS technologies to meet compliance requirements
Encrypting data at rest (for example, AWS Key Management Service [AWS KMS])
Encrypting data in transit (for example, AWS Certificate Manager [ACM] using TLS)
Implementing access policies for encryption keys
Implementing data backups and replications
Implementing policies for data access, lifecycle, and protection
Rotating encryption keys and renewing certificates
2. Design Secure Architectures Task Statement
Design scalable and loosely coupled architectures
API creation and management (for example, Amazon API Gateway, REST API)
AWS managed services with appropriate use cases (for example, AWS Transfer Family, Amazon Simple Queue Service [Amazon SQS], Secrets Manager) Caching strategies
Design principles for microservices (for example, stateless workloads compared with stateful workloads)
Event-driven architectures Horizontal scaling and vertical scaling How to appropriately use edge accelerators (for example, content delivery network [CDN])
How to migrate applications into containers Load balancing concepts (for example, Application Load Balancer)
Multi-tier architectures
Queuing and messaging concepts (for example, publish/subscribe)
Serverless technologies and patterns (for example, AWS Fargate, AWS Lambda) Storage types with associated
characteristics (for example, object, file, block) The orchestration of containers (for example, Amazon Elastic Container Service [Amazon ECS], Amazon Elastic Kubernetes Service [Amazon EKS]) When to use read replicas
Workflow orchestration (for example, AWS Step Functions)
AWS managed services with appropriate use cases (for example, AWS Transfer Family, Amazon Simple Queue Service [Amazon SQS], Secrets Manager) Caching strategies
Design principles for microservices (for example, stateless workloads compared with stateful workloads)
Event-driven architectures Horizontal scaling and vertical scaling How to appropriately use edge accelerators (for example, content delivery network [CDN])
How to migrate applications into containers Load balancing concepts (for example, Application Load Balancer)
Multi-tier architectures
Queuing and messaging concepts (for example, publish/subscribe)
Serverless technologies and patterns (for example, AWS Fargate, AWS Lambda) Storage types with associated
characteristics (for example, object, file, block) The orchestration of containers (for example, Amazon Elastic Container Service [Amazon ECS], Amazon Elastic Kubernetes Service [Amazon EKS]) When to use read replicas
Workflow orchestration (for example, AWS Step Functions)
Design highly available and/or fault-tolerant architectures
AWS global infrastructure (for example, Availability Zones, AWS Regions, Amazon Route 53)
AWS managed services with appropriate use cases (for example, Amazon Comprehend, Amazon Polly)
Basic networking concepts (for example, route tables)
Disaster recovery (DR) strategies (for example, backup and restore, pilot light, warm standby, active-active failover, recovery point objective [RPO], recovery time objective [RTO])
Distributed design patterns Failover strategies
Immutable infrastructure Load balancing concepts (for example, Application Load Balancer)
Proxy concepts (for example, Amazon RDS Proxy)
Service quotas and throttling (for example, how to configure the service quotas for a workload in a standby environment)
Storage options and characteristics (for example, durability, replication) Workload visibility (for example, AWS X-Ray) Skills in:
Determining automation strategies to ensure infrastructure integrity Determining the AWS services required to provide a highly available and/or fault-tolerant architecture across AWS Regions or Availability Zones
Identifying metrics based on business requirements to deliver a highly available solution
Implementing designs to mitigate single points of failure
Implementing strategies to ensure the durability and availability of data (for example, backups)
Selecting an appropriate DR strategy to meet business requirements
Using AWS services that improve the reliability of legacy applications and applications not built for the cloud (for example, when application changes are not possible)
Using purpose-built AWS services for workloads
AWS managed services with appropriate use cases (for example, Amazon Comprehend, Amazon Polly)
Basic networking concepts (for example, route tables)
Disaster recovery (DR) strategies (for example, backup and restore, pilot light, warm standby, active-active failover, recovery point objective [RPO], recovery time objective [RTO])
Distributed design patterns Failover strategies
Immutable infrastructure Load balancing concepts (for example, Application Load Balancer)
Proxy concepts (for example, Amazon RDS Proxy)
Service quotas and throttling (for example, how to configure the service quotas for a workload in a standby environment)
Storage options and characteristics (for example, durability, replication) Workload visibility (for example, AWS X-Ray) Skills in:
Determining automation strategies to ensure infrastructure integrity Determining the AWS services required to provide a highly available and/or fault-tolerant architecture across AWS Regions or Availability Zones
Identifying metrics based on business requirements to deliver a highly available solution
Implementing designs to mitigate single points of failure
Implementing strategies to ensure the durability and availability of data (for example, backups)
Selecting an appropriate DR strategy to meet business requirements
Using AWS services that improve the reliability of legacy applications and applications not built for the cloud (for example, when application changes are not possible)
Using purpose-built AWS services for workloads
3. Design High-Performing Architectures
Determine high-performing and/or scalable storage solutions
Hybrid storage solutions to meet business requirements
Storage services with appropriate use cases (for example, Amazon S3, Amazon Elastic File System [Amazon EFS], Amazon Elastic Block Store [Amazon EBS])
Storage types with associated characteristics (for example, object, file, block) Skills in:
Determining storage services and configurations that meet performance demands
Determining storage services that can scale to accommodate future needs
Storage services with appropriate use cases (for example, Amazon S3, Amazon Elastic File System [Amazon EFS], Amazon Elastic Block Store [Amazon EBS])
Storage types with associated characteristics (for example, object, file, block) Skills in:
Determining storage services and configurations that meet performance demands
Determining storage services that can scale to accommodate future needs
Design high-performing and elastic compute solutions
AWS compute services with appropriate use cases (for example, AWS Batch, Amazon EMR, Fargate)
Distributed computing concepts supported by AWS global infrastructure and edge services
Queuing and messaging concepts (for example, publish/subscribe) Scalability capabilities with appropriate use cases (for example, Amazon EC2 Auto Scaling, AWS Auto Scaling)
Serverless technologies and patterns (for example, Lambda, Fargate)
The orchestration of containers (for example, Amazon ECS, Amazon EKS) Skills in: Decoupling workloads so that components can scale independently
Identifying metrics and conditions to perform scaling actions
Selecting the appropriate compute options and features (for example, EC2 instance types) to meet business requirements Selecting the appropriate resource type and size (for example, the amount of Lambda memory) to meet business requirements
Distributed computing concepts supported by AWS global infrastructure and edge services
Queuing and messaging concepts (for example, publish/subscribe) Scalability capabilities with appropriate use cases (for example, Amazon EC2 Auto Scaling, AWS Auto Scaling)
Serverless technologies and patterns (for example, Lambda, Fargate)
The orchestration of containers (for example, Amazon ECS, Amazon EKS) Skills in: Decoupling workloads so that components can scale independently
Identifying metrics and conditions to perform scaling actions
Selecting the appropriate compute options and features (for example, EC2 instance types) to meet business requirements Selecting the appropriate resource type and size (for example, the amount of Lambda memory) to meet business requirements
Determine high-performing database solutions
AWS global infrastructure (for example, Availability Zones, AWS Regions)
Caching strategies and services (for example, Amazon ElastiCache)
Data access patterns (for example, read-intensive compared with write-intensive) Database capacity planning (for example, capacity units, instance types, Provisioned IOPS)
Database connections and proxies
Database engines with appropriate use cases (for example, heterogeneous migrations, homogeneous migrations)
Database replication (for example, read replicas)
Database types and services (for example, serverless, relational compared with non-relational, in-memory)
Caching strategies and services (for example, Amazon ElastiCache)
Data access patterns (for example, read-intensive compared with write-intensive) Database capacity planning (for example, capacity units, instance types, Provisioned IOPS)
Database connections and proxies
Database engines with appropriate use cases (for example, heterogeneous migrations, homogeneous migrations)
Database replication (for example, read replicas)
Database types and services (for example, serverless, relational compared with non-relational, in-memory)
Determine high-performing and/or scalable network architectures
Edge networking services with appropriate use cases (for example, Amazon CloudFront, AWS Global Accelerator)
How to design network architecture (for example, subnet tiers, routing, IP addressing) Load balancing concepts (for example, Application Load Balancer)
Network connection options (for example, AWS VPN, Direct Connect, AWS PrivateLink)
How to design network architecture (for example, subnet tiers, routing, IP addressing) Load balancing concepts (for example, Application Load Balancer)
Network connection options (for example, AWS VPN, Direct Connect, AWS PrivateLink)
Determine high-performing data ingestion and transformation solutions
Data analytics and visualization services with appropriate use cases (for example, Amazon Athena, AWS Lake Formation, Amazon QuickSight)
Data ingestion patterns (for example, frequency)
Data transfer services with appropriate use cases (for example, AWS DataSync, AWS Storage Gateway)
Data transformation services ith appropriate use cases (for example, AWS Glue)
Secure access to ingestion access points Sizes and speeds needed to meet business requirements
Streaming data services with appropriate use cases (for example, Amazon Kinesis) Skills in:
Building and securing data lakes Designing data streaming architectures Designing data transfer solutions Implementing visualization strategies Selecting appropriate compute options for data processing (for example, Amazon EMR) Selecting appropriate configurations for ingestion
Transforming data between formats (for example, .csv to .parquet)
Data ingestion patterns (for example, frequency)
Data transfer services with appropriate use cases (for example, AWS DataSync, AWS Storage Gateway)
Data transformation services ith appropriate use cases (for example, AWS Glue)
Secure access to ingestion access points Sizes and speeds needed to meet business requirements
Streaming data services with appropriate use cases (for example, Amazon Kinesis) Skills in:
Building and securing data lakes Designing data streaming architectures Designing data transfer solutions Implementing visualization strategies Selecting appropriate compute options for data processing (for example, Amazon EMR) Selecting appropriate configurations for ingestion
Transforming data between formats (for example, .csv to .parquet)
4. Design Cost-Optimized Architectures
Design cost-optimized storage solutions
Access options (for example, an S3 bucket with Requester Pays object storage)
AWS cost management service features (for example, cost allocation tags, multi-account billing)
AWS cost management tools with appropriate use cases (for example, AWS Cost Explorer, AWS Budgets, AWS Cost and Usage Report)
AWS storage services with appropriate use cases (for example, Amazon FSx, Amazon EFS, Amazon S3, Amazon EBS) Backup strategies
Block storage options (for example, hard disk drive [HDD] volume types, solid state drive [SSD] volume types)
Data lifecycles
Hybrid storage options (for example, DataSync, Transfer Family, Storage Gateway)
Storage access patterns • Storage tiering (for example, cold tiering for object storage) Storage types with associated characteristics (for example, object, file, block)
AWS cost management service features (for example, cost allocation tags, multi-account billing)
AWS cost management tools with appropriate use cases (for example, AWS Cost Explorer, AWS Budgets, AWS Cost and Usage Report)
AWS storage services with appropriate use cases (for example, Amazon FSx, Amazon EFS, Amazon S3, Amazon EBS) Backup strategies
Block storage options (for example, hard disk drive [HDD] volume types, solid state drive [SSD] volume types)
Data lifecycles
Hybrid storage options (for example, DataSync, Transfer Family, Storage Gateway)
Storage access patterns • Storage tiering (for example, cold tiering for object storage) Storage types with associated characteristics (for example, object, file, block)
Design cost-optimized compute solutions
AWS cost management service features (for example, cost allocation tags, multi-account billing)
AWS cost management tools with appropriate use cases (for example, Cost Explorer, AWS Budgets, AWS Cost and Usage Report)
AWS global infrastructure (for example, Availability Zones, AWS Regions) AWS purchasing options (for example, Spot Instances, Reserved Instances, Savings Plans)
Distributed compute strategies (for example, edge processing) Hybrid compute options (for example, AWS Outposts, AWS Snowball Edge)
Instance types, families, and sizes (for example, memory optimized, compute optimized, virtualization)
Optimization of compute utilization (for example, containers, serverless computing, microservices)
Scaling strategies (for example, auto scaling, hibernation)
AWS cost management tools with appropriate use cases (for example, Cost Explorer, AWS Budgets, AWS Cost and Usage Report)
AWS global infrastructure (for example, Availability Zones, AWS Regions) AWS purchasing options (for example, Spot Instances, Reserved Instances, Savings Plans)
Distributed compute strategies (for example, edge processing) Hybrid compute options (for example, AWS Outposts, AWS Snowball Edge)
Instance types, families, and sizes (for example, memory optimized, compute optimized, virtualization)
Optimization of compute utilization (for example, containers, serverless computing, microservices)
Scaling strategies (for example, auto scaling, hibernation)
Design cost-optimized database solutions
AWS cost management service features (for example, cost allocation tags, multi-account billing)
AWS cost management tools with appropriate use cases (for example, Cost Explorer, AWS Budgets, AWS Cost and Usage Report)
Caching strategies
Data retention policies
Database capacity planning (for example, capacity units)
Database connections and proxies Database engines with appropriate use cases (for example, heterogeneous migrations, homogeneous migrations) Database replication (for example, read replicas)
Database types and services (for example, relational compared with non-relational, Aurora, DynamoDB)
AWS cost management tools with appropriate use cases (for example, Cost Explorer, AWS Budgets, AWS Cost and Usage Report)
Caching strategies
Data retention policies
Database capacity planning (for example, capacity units)
Database connections and proxies Database engines with appropriate use cases (for example, heterogeneous migrations, homogeneous migrations) Database replication (for example, read replicas)
Database types and services (for example, relational compared with non-relational, Aurora, DynamoDB)
Design cost-optimized network architectures
AWS cost management service features (for example, cost allocation tags, multi-account billing)
AWS cost management tools with appropriate use cases (for example, Cost Explorer, AWS Budgets, AWS Cost and Usage Report)
Load balancing concepts (for example, Application Load Balancer)
NAT gateways (for example, NAT instance costs compared with NAT gateway costs) Network connectivity (for example, private lines, dedicated lines, VPNs)
Network routing, topology, and peering (for example, AWS Transit Gateway, VPC peering)
Network services with appropriate use cases (for example, DNS)
AWS cost management tools with appropriate use cases (for example, Cost Explorer, AWS Budgets, AWS Cost and Usage Report)
Load balancing concepts (for example, Application Load Balancer)
NAT gateways (for example, NAT instance costs compared with NAT gateway costs) Network connectivity (for example, private lines, dedicated lines, VPNs)
Network routing, topology, and peering (for example, AWS Transit Gateway, VPC peering)
Network services with appropriate use cases (for example, DNS)