Deploying Scalable Applications with AWS, Azure & GCP

Free

Learn how to deploy and scale applications across AWS, Azure, and GCP. Explore best practices for architecture, load balancing, and cost optimization through hands-on exercises.

This Course Includes:

3 hours on-demand video | 7 Articles | 3 Downloadable Resources
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Free One Year Access To Live Courses*
Certificate of completion
  • Cloud deployment strategies and scalability principles
  • Load balancing and auto-scaling configurations
  • CI/CD pipelines for multi-cloud environments
  • Cost optimization and resource management
  • Security and compliance considerations
  • Hands-on deployment of a scalable cloud application

Course Curriculum & Resources

  • Live Day 1 Session

  • Live Day 2 Session

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Instructor Info

  • Instructor Code: ABM07
  • Specialty: Cloud, Data Science & GenAI Expert
  • Experience: Worked with Microsoft, JO Morgan Chase, Deloitte Consulting in the USA
  • Education: Holds an MS in Data Analytics Engineering from George Mason University, USA, and an MTech in Biomedical Engineering from IIT Bombay.

Join Free masterclass on

Deploying Scalable Applications with AWS, Azure & GCP

September 27th & 28th 9:00 AM (EST)
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    Certificate Sample

    Frequently Asked Questions

    Look for the "Downloadable Resources" section on the course page.
    Yes! Participants will receive a Masterclass Completion Certificate, validating their understanding of quantum mechanics and bra-ket algebra.
    Basic knowledge of cloud computing is recommended, but we will cover fundamental concepts before hands-on exercises.
    Yes, the masterclass covers AWS, Azure, and GCP, with hands-on deployment on at least one platform.
    We will explore cloud-native services, Terraform for IaC, and CI/CD tools like GitHub Actions and AWS CodePipeline.
    Yes, a certificate will be provided upon successfully completing the masterclass and hands-on labs.

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    Deploying Scalable Applications with AWS, Azure & GCP

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