Class / Class Details

Cloud Engineering Training

  • Sateesh image

    By - Sateesh

  • 0 students
  • 1 Hour
  • (0)
Start Date & Time

3rd Feb, 2025 At 11:33 AM

End Date & Time

9th May, 2025 At 12:33 PM

Duration

N/A

Course Description

Course Description:

This course offers a comprehensive introduction to cloud engineering, covering cloud infrastructure, architecture, and services essential for designing, deploying, and managing scalable applications. You will gain hands-on experience with major cloud providers (AWS, Azure, Google Cloud) and learn to architect secure, cost-effective cloud solutions. By the end of this course, you’ll be equipped to handle cloud infrastructure, automate tasks, ensure security, and optimize cloud-based applications.


Prerequisites:

  1. Basic Networking and OS Knowledge: Understanding of networking fundamentals, IPs, DNS, and OS concepts.
  2. Programming Basics: Proficiency in scripting languages (e.g., Python, Bash).
  3. Familiarity with Virtualization and Containers: Some knowledge of VMs, Docker, and containerization is beneficial.


Course Outcomes:

  1. Understand Cloud Infrastructure: Grasp the core components of cloud environments, including virtualization, storage, and networking.
  2. Design and Deploy Scalable Solutions: Learn best practices for architecting reliable and cost-effective cloud solutions.
  3. Automate Cloud Workflows: Use tools to streamline processes, implement CI/CD pipelines, and manage infrastructure as code (IaC).
  4. Implement Cloud Security: Acquire essential skills to secure cloud resources, manage access control, and ensure compliance.
  5. Develop a Project Portfolio: Build real-world projects demonstrating your proficiency in cloud engineering, ready for job applications.

Course Schedule

Instructor

Sateesh

Sateesh A, bringing extensive expertise in AI-driven healthcare solutions. With a background in Engineering (B.E., M.Tech., and Ph.D. in AI for Healthcare), Sateesh has over two decades of experience in technology innovation, spanning roles in top organizations like Samsung, Intel, and Sandisk.


His work focuses on developing advanced AI models for healthcare, including federated learning frameworks, synthetic data generation, and explainable AI models for predictive healthcare applications.


Sateesh has led multiple groundbreaking research projects, authored numerous publications, and presented at international conferences, advancing the field of adaptive, teacher-less education platforms. His vision is to make high-quality education accessible to remote regions through AI, helping learners achieve employability and lifelong learning.


Sateesh’s achievements include recognition as a top tech innovator, participation in elite accelerator programs, and collaboration with esteemed institutions like Stanford, IIIT-B, and IIM-A.

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