Multi Cloud DevOps & SRE with AI

19 Reviews

Instructor Khalid Bin Sattar

Last date of Registration: 30-11-2025
5th - Batch Schedule
Class Starts 08 December, 2025
Class Schedule Monday and Wednesday 10:00 PM - 11:30 PM

Who Can Join This Course?

  • Basic IT & Networking Fundamentals – Understanding of operating systems (Linux/Windows), IP addressing, DNS, and firewalls.
  • Familiarity with the Command Line – Comfortable running scripts and basic commands in Linux/Unix shell or PowerShell.
  • Recommended but not mandatory: Prior hands‑on work in system administration, application deployment, or IT operations.
  • Basic knowledge about DevOps and Agile.
  • At least 2-3 Years of working experience in Software Engineering/DevOps/Platform/SRE Engineering fields.
  • Bachelor's or Master's Degree in IT, Computer Science, Computer Engineering, or any kind of related Engineering fields.

Course Highlight

  • Learn modern DevOps principles and practices for managing large-scale systems efficiently.
  • Gain hands-on experience with AWS, Azure, and Google Cloud to build multi-cloud expertise.
  • Automate infrastructure provisioning and deployments using Terraform and CI/CD pipelines.
  • Implement observability with metrics, logs, and tracing for reliable site reliability engineering (SRE).
  • Use AI-driven monitoring and predictive analytics to detect and prevent system failures.
  • Learn containerization and orchestration with Docker and Kubernetes across multiple cloud environments.
  • Strengthen security, compliance, and cost optimization strategies for cloud operations.
  • Build real-world DevOps workflows that combine automation, scalability, and AI-powered efficiency.

Course Content

  1. 24 Classes
  2. 3 Assignments
  3. 3 Exams

Description

The course-Accelerate your career with this intensive, 3‑month-long, industry‑driven program designed to build elite skills in Multi‑Cloud DevOps and Site Reliability Engineering. Covering AWS, Azure, and cross‑cloud strategies, you’ll gain hands‑on expertise in CI/CD pipelines, Infrastructure as Code (Terraform, Ansible), Docker and Kubernetes (Container) orchestration, and modern automation practices with a blend of AI Guided by a DevOps and Cloud architect with over 15 years of real‑world experience, you’ll learn to design, deploy, and optimize resilient cloud‑native systems while mastering operational excellence. Whether you’re starting your cloud journey or advancing your professional edge, this program equips you to thrive as a high‑impact DevOps & SRE professional in any enterprise environment.

Instructor

Khalid Bin Sattar
  • Instructor
  • Over 15 years of field-level and job experience in Systems Administration, DevOps, and Cloud Computing. Also Certified AWS Solution Architect Professional, certified AWS Solution Architect Associate, Certified Kubernetes Administrator, Certified DevOps Generalist, Certified Azure Administrator Associate

Reviews

19 Reviews
19 Student Reviews
  • Authentic student reviews offer insights on course content, engagement, and instructor effectiveness, empowering potential learners.
Bushra Saad
Bushra Saad
Batch: 4
IZAZ AHMED ASIF
IZAZ AHMED ASIF
Batch: 4
Md Ariful Islam
Md Ariful Islam
Batch: 4
Jahir Raihan
Jahir Raihan
Batch: 4
Md Nahidul Islam
Md Nahidul Islam
Batch: 4
MD Nazmul Hasan Sheum
MD Nazmul Hasan Sheum
Batch: 4
Multi Cloud DevOps & SRE with AI
Tk. 18,000
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Course Includes
  • Recorded videos (All Classes)
  • Assignments & Exams
  • Digital Certificate
  • Final Project

Learning Path

Check our course roadmaps for specialized courses. It will help you to take courses in right order.

Roadmap