You will get a fully managed cloud desktop solution with AWS Workspaces
Top Rated

You will get a fully managed cloud desktop solution with AWS Workspaces
Top Rated

Project details
Amazon WorkSpaces is an all-inclusive virtual desktop service. This project will create all the necessary infrastructure required to spin up AWS windows workspaces. You can create a standalone, or you can integrate with your existing Active Directory environment so that your users can use their current credentials to obtain seamless access to corporate resources. This integration works via a secure hardware VPN connection to your on-premises network using Amazon Virtual Private Cloud (VPC).
Support & IT Services
Cloud ServicesDevice
Desktop/LaptopOperating System
WindowsCloud Platforms
Amazon Web ServicesWhat's included
Service Tiers |
Starter
$500
|
Standard
$1,000
|
Advanced
$2,000
|
---|---|---|---|
Delivery Time | 3 days | 5 days | 10 days |
Number of Revisions | 1 | 1 | 1 |
Remote Connection Support | |||
Documentation |
About Deborshi
AWS Solutions Architect | Amazon Bedrock | Serverless | DevSecOps
100%
Job Success
Hamilton, Canada - 8:56 pm local time
Core Competencies:
• Skilled in designing scalable, resilient, and cost-effective cloud systems.
• Expertise in architecting GenAI solutions using Amazon Bedrock and other AWS AI/ML services.
• Proficient in designing and implementing RAG (Retrieval-Augmented Generation) applications.
• Experience in creating multi-agent systems for complex AI workflows.
AWS Services (Hands-On Engineering Skills):
• Serverless Stack - Lambda, API Gateway, DynamoDB, EventBridge, Step Functions, SNS, SQS
•. AI/ML - Amazon Bedrock, SageMaker, Comprehend, Rekognition
•. Web - AWS Amplify, App Runner
• Compute - EC2, Autoscaling, Elastic Beanstalk
• EUC - Workspace, AppStream, Directory Service
• Database - RDS, Aurora, DocumentDB, DynamoDB, Elasticache,
• Edge - CloudFront, Lambda @Edge
• Security - IAM Identity Center, Secrets Manager, KMS, Certificate Manager, GuardDuty,
Generative AI and Large Language Models (LLMs):
• In-depth knowledge of Amazon Bedrock for deploying and fine-tuning foundation models
• Hands-on experience in building LLM-based applications with various AWS services
• Implementing vector databases for efficient similarity search
• Designing and implementing AI agents and multi-agent systems
SecurityHub, Cloudtrail, Config, Audit Manager
• Network - VPC, TGW, VGW, Firewall Manager, WAF, Route53, VPN, Direct Connect
• Dev Tools - CodeCommit, CodePipeline, CodeBuild, CodeDeploy
• Storage - S3, EBS, EFS
• Container Platforms - ECS & EKS
Automation & Deployment Tools:
• CloudFormation
• Terraform
• Serverless Framework (SLS)
• Serverless Application Model (SAM)
• AWS Cloud Development Kit (CDK)
Full-Stack and Backend Development:
• Languages: Python, Node, JS, GoLang
• Frameworks: Flask, Express, React
• Databases: DynamoDB, MongoDB, DocumentDB, MySQL
Value-Added Services:
• Compliance and Auditing: Comprehensive services for robust security and compliance.
• Training and Development: Customized training modules on an array of cloud topics.
AWS Review Frameworks:
• Well-Architected Framework Review (WAFR)
• Foundational Technical Review (FTR)
Consulting Services:
• Designing and implementing custom AI/ML solutions on AWS
• Integrating AI-powered chatbots and virtual assistants
• Developing GenAI based solutions
• Implementing ETL processes using AWS Glue, Databrew and EMR
• Security Audits
• Complex AWS Architecture Implementation
Credentials:
• Multiple industry certifications with an ongoing commitment to professional development.
Steps for completing your project
After purchasing the project, send requirements so Deborshi can start the project.
Delivery time starts when Deborshi receives requirements from you.
Deborshi works on your project following the steps below.
Revisions may occur after the delivery date.
AWS Account Information & Temporary credentials
Client needs to provide aws account information and temporary credentials.
Provide details of any VPN/ Hybrid connectivity with AWS
Client to provide any VPN details necessary to establish IPsec tunnel between AWS VPC and client's on-premise network.