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500+ Students enrolled in the course
287 Reviews
AI-Powered DevOps Engineering
Delivery Mode
Theory
Lab Based
Online Live Class
Recorded Video
This hands-on program takes you from DevOps fundamentals to production-ready AI-powered practices.You will master Linux, Git, Bash & Python automation, Docker, CI/CD with GitHub Actions, AWS cloud, Terraform, Ansible, Kubernetes (EKS), Observability, DevSecOps, and AIOps — all through live classes and real projects.
4 Months
Course Duration
5
Industrial Project
32
Classes
9
Bonus Track
Exclusive Solutions That Set Us Apart :
Review Class
Practice Lab Support
Class Videos
Job Preparation Support
Key Highlights :
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DevOps culture, principles & Linux administration
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Git & GitHub advanced collaboration (Branching, PR, Secrets, Tokens)
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Bash & Python automation for DevOps
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Docker, Dockerfile, Compose & production optimization
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CI/CD pipelines with GitHub Actions
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AWS (IAM, EC2, VPC, Networking) & production deployment
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Infrastructure as Code with Terraform
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Server automation with Ansible
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Kubernetes fundamentals, Networking, Storage & Helm
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AWS EKS (Elastic Kubernetes Service)
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Observability & Monitoring
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DevSecOps + SonarQube
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AI-Powered DevOps, AIOps & Job Readiness
Job Opportunities:
DevOps Engineer
Junior DevOps Engineer
Cloud DevOps Engineer
Site Reliability Engineer (SRE)
AWS Cloud Engineer
Class Structure & Distribution of Total 41 Classes:
(For Offline Course)
Offline Class - Onsite in Campus: 32 Class
On Campus (Theory)
20 Classes - Per Class 2 Hrs
On Campus (Lab)
12 Classes - Per Class 2 Hrs
Extra Online & Recorded Class: 9 Class
Online Extra Live Class
4 Classes - Per Class 1+ Hrs
Required Recorded Videos
5 Classes - Duration Variable
Course Prerequisite:
Desktop / Laptop
Internet Connection
High-Speed Internet Connection
This Course is Designed for
(Everyone)
Job seekers
Students
Entrepreneurs
IT Experts
Software Engineers
Tech Learners
Course Outline Structure
Provide required PDF + Class Recordings to ensure the best learning for our students.
4 Modules
32 Classes
4 Projects
32 Topics
32 Resources
Duration: 8 Classes
Focus:
Build a strong foundation in DevOps culture and principles, Linux administration, networking, and professional collaboration using Git & GitHub. This module prepares you for all advanced topics ahead.
Class Type Breakdown:
- Offline (Theory): 6 Classes
- Lab (Practical): 2 Classes
Projects Included: 1 Project
Career Path: Junior DevOps Engineer, System Administrator, Git Specialist
Prerequisites: N/A
Key Highlights:
- • DevOps culture & core principles
- • Linux installation, fundamentals & administration
- • Networking basics
- • Git & GitHub Fundamentals + Advanced Branching, PR & Collaboration
- • GitHub Secrets, Variables, Tokens & Multi-Remote
Projects:
- • Basic Linux Server Setup & Git Collaboration Repository
| Class No. | Class Type | Topic/Lesson | Resource Type |
|---|---|---|---|
| Class 1 | Offline (Theory) | DevOps Foundation & Linux Installation |
Class Video
|
| Class 2 | Offline (Theory) | Linux Fundamentals |
Class Video
|
| Class 3 | Offline (Theory) | Linux Administration & Networking |
Class Video
|
| Class 4 | Offline (Theory) | Git & GitHub Fundamentals |
Class Video
|
| Class 5 | Offline (Theory) | GitHub Advanced — Branching, PR & Collaboration |
Class Video
|
| Class 6 | Lab (Practical) | GitHub Secrets, Variables, Tokens & Multi-Remote |
Class Video
|
| Class 7 | Offline (Theory) | Bash Automation — Part 1 |
Class Video
|
| Class 8 | Lab (Practical) | Bash Automation — Part 2 |
N/A
|
Duration: 6 Classes
Focus:
Master automation with Bash & Python and containerization using Docker. Learn to build production-ready multi-container applications.
Class Type Breakdown:
- Offline (Theory): 4 Classes
- Lab (Practical): 2 Classes
Projects Included: 1 Project
Career Path: DevOps Engineer, Container Specialist, Automation Engineer
Prerequisites: Module-1
Key Highlights:
- • Python for DevOps Automation
- • Docker Fundamentals, Dockerfile & Containerization
- • Docker Compose & Multi-Container Applications
- • Docker Production Practices & Optimization
Projects:
- • Containerized Application
| Class No. | Class Type | Topic/Lesson | Resource Type |
|---|---|---|---|
| Class 1 | Offline (Theory) | Python for DevOps Automation |
Class Video
|
| Class 2 | Offline (Theory) | Docker Fundamentals |
Class Video
|
| Class 3 | Offline (Theory) | Dockerfile & Containerization |
Class Video
|
| Class 4 | Offline (Theory) | Docker Compose & Multi-Container Applications |
Class Video
|
| Class 5 | Lab (Practical) | Docker Production Practices & Optimization |
Class Video
|
| Class 6 | Lab (Practical) | Containerized Application |
Class Video
|
Duration: 11 Classes
Focus:
Master CI/CD pipelines, GitHub Actions, AWS cloud services, Terraform, and Ansible. Develop production-grade deployment and infrastructure automation skills.
Class Type Breakdown:
- Offline (Theory): 8 Classes
- Lab (Practical): 3 Classes
Projects Included: 1 Project
Career Path: Cloud DevOps Engineer, CI/CD Specialist, Infrastructure Engineer
Prerequisites: Module 1 & 2
Key Highlights:
- • CI/CD Fundamentals
- • GitHub Actions (Advanced)
- • AWS Fundamentals, IAM, EC2, VPC & Networking
- • AWS Production Deployment
- • Terraform — Infrastructure as Code
- • Ansible for Server Automation
Projects:
- • AWS CI/CD Pipeline
| Class No. | Class Type | Topic/Lesson | Resource Type |
|---|---|---|---|
| Class 1 | Offline (Theory) | CI/CD Fundamentals — Part 1 |
Class Video
|
| Class 2 | Offline (Theory) | CI/CD Fundamentals — Part 2 |
Class Video
|
| Class 3 | Offline (Theory) | GitHub Actions — Part 1 |
Class Video
|
| Class 4 | Offline (Theory) | GitHub Actions — Part 2 |
Class Video
|
| Class 5 | Lab (Practical) | AWS Fundamentals & IAM |
Class Video
|
| Class 6 | Lab (Practical) | AWS EC2, VPC & Networking — Part 1 |
Class Video
|
| Class 7 | Lab (Practical) | AWS EC2, VPC & Networking — Part 2 |
Class Video
|
| Class 8 | Offline (Theory) | AWS Production Deployment |
Class Video
|
| Class 9 | Offline (Theory) | Terraform — Infrastructure as Code |
Class Video
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| Class 10 | Offline (Theory) | Ansible for Server Automation |
Class Video
|
| Class 11 | Offline (Theory) | AWS CI/CD Pipeline |
Class Video
|
Duration: 7 Classes
Focus:
Master Kubernetes and AWS EKS for container orchestration, observability & monitoring, DevSecOps, and AI-Powered DevOps/AIOps. Complete industry-ready skills with job readiness training.
Class Type Breakdown:
- Offline (Theory): 5 Classes
- Lab (Practical): 2 Classes
Projects Included: 1 Project
Career Path: DevOps Engineer, Kubernetes Administrator, Site Reliability Engineer (SRE)
Prerequisites: Module 1, 2 & 3
Key Highlights:
- • Kubernetes Fundamentals, Networking, Storage & Helm
- • AWS EKS (Elastic Kubernetes Service)
- • Observability & Monitoring
- • DevSecOps + SonarQube
- • AI-Powered DevOps, AIOps & Job Readiness
Projects:
- • Full End-to-End Kubernetes + Monitoring + AI Integration
| Class No. | Class Type | Topic/Lesson | Resource Type |
|---|---|---|---|
| Class 1 | Offline (Theory) | Kubernetes Fundamentals & Application Deployment |
Class Video
|
| Class 2 | Offline (Theory) | Kubernetes Networking, Storage & Helm |
Class Video
|
| Class 3 | Offline (Theory) | AWS EKS — Part 1 |
Class Video
|
| Class 4 | Offline (Theory) | AWS EKS — Part 2 |
Class Video
|
| Class 5 | Lab (Practical) | Observability & Monitoring — Part 1 |
Class Video
|
| Class 6 | Lab (Practical) | Observability & Monitoring — Part 2 |
Class Video
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| Class 7 | Offline (Theory) | DevSecOps, SonarQube, & Job Readiness |
Class Video
|
Admission Is Going On
Enroll now to any of our Offline Courses (On- Campus)
Course Fee Offline
BDT. 30,000
Online (Live Class) courses as per your suitable time.
Course Fee Online
BDT. 15000
Course Related FAQ
Answer : No. We Don't. We will not make you earn, but we can make you capable of earning. Earning will depend entirely on your subject-specific knowledge, skills, and qualifications. We will help you with training and proper guidance on specific courses, related marketplaces, and how to get jobs in the marketplace. You have to make your earning journey smooth by sharpening your skills through time, effort, and patience. And how much you earn will depend on how much effort and time you put into your job. And remember one thing; freelancing is not the only option for earning money. You can also earn by hunting local clients, doing remote jobs, or running your own business.
Answer : Please click on this link to register for the seminar https://www.creativeitinstitute.com/free-seminar You will be notified regarding the date and time through a phone call before the seminar.
Answer : We conduct live classes in online courses via Zoom. We only provide important class records so that our students can watch the videos again and again until they understand the topic thoroughly. In addition, we also provide backup support in case any problem arises further.
Answer : After completing a course you can work as a freelancer in the online market as well as get the opportunity in the local marketplace. At the end of the course we refer our students to various companies through our Career Placement Department. If you attend classes regularly, and complete the course by taking all the projects and exams, then you have a great chance of getting a well-paid job.
Answer : Yes, you will receive a certificate if you successfully complete the course. You can also get a certification from the Govt Board of Technical Education by attending an assessment exam.
Answer : It's your choice. You can either pay the entire course fee in one go or in 4 installments at intervals of 25-30 days. The number of Installments will vary in your course duration.
Course Services
Backup Class
A Backup Class is a special facility where students can revisit lessons missed due to illness or emergencies. It helps maintain learning continuity and ensures that students’ progress is not interrupted. However, the number of backup classes may vary depending on the course. Therefore, it is advisable not to miss classes unless absolutely necessary.