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AI Devops with Docker

Course Information

  • Sessions 2 days
  • Duration 15 hrs
  • Level Beginner
  • Assessment NA

Venue

Kuala Lumpur: G-3A-02, Suite Pejabat Korporat, KL Gateway, No 2, Jalan kerinchi, Gerbang kernichi Lestari, 59200 Kuala Lumpur, Malaysia
Penang: Jalan Sungai Dua, 11700 Penang, Malaysia.

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Certification

  • Certificate of Completion from Tertiary Courses - Upon meeting at least 75% attendance and passing the assessment(s), participants will receive a Certificate of Completion from Tertiary Courses.

AI Devops with Docker

Course Code: C1285
  • HRDF

6 Review(s) | Add Your Review

What's This Course About

Master containerisation and DevOps with AI Devops with Docker. This hands-on 2-day course teaches you how to use Docker together with AI assistants such as Cursor, GitHub Copilot and Claude to build, ship and run applications in containers. Instead of memorising commands and YAML, you will let AI generate, explain and debug your Dockerfiles, Compose files and pipelines while you learn the fundamentals and stay in control of your infrastructure.

Through practical projects, participants will install Docker, containerise applications, write Dockerfiles and Docker Compose stacks, manage images, volumes and networks, and build a CI/CD pipeline that deploys containers — all with an AI pair programmer at their side. You will also learn to review, secure and optimise AI-generated configuration so your deployments are reliable and efficient. By the end of the course, you will be able to containerise and deploy applications faster and more confidently with an effective AI-assisted DevOps workflow.

Course Fee

MYR2,200.00

Course Date

Course Time

Additional Note

Please bring your own laptop for hands-on training. If you don't have laptop, we can provide spare laptop for training use.

Disclaimer: The course dates displayed on our website are tentative and subject to trainer availability. We will confirm the final date after checking with the trainer. You are also welcome to email us your preferred date at sales@tertiarycourses.com.my, and we will do our best to coordinate with the trainer's schedule.

Post-Course Support

  • We may provide consultation related to the subject matter after the course.
  • Please email your queries to sales@tertiarycourses.com.my and we will forward your queries to the subject matter experts and get back to you as soon as possible.

Cancellation & Reschedule Policy

  • We reserve the right to cancel or re-schedule the course due to unforeseen circumstances. If the course is cancelled, we will refund 100% to participants.
  • Note: the venue of the training is subject to changes due to class size and availability of the classroom. The minimum class size to start a class is 3 Pax.

Course Details

Course Details

What You'll Learn

Topic 1 Getting Started with Docker and AI

  • Introduction to Containers, Docker and AI-Assisted DevOps
  • Setting Up Docker and AI Coding Assistants (Cursor, GitHub Copilot, Claude)
  • Running Your First Container
  • Working with Images and the Docker CLI

Topic 2 Building Images with AI

  • Writing Dockerfiles with AI Assistance
  • Building and Tagging Images
  • Managing Volumes and Data
  • Networking Between Containers

Topic 3 Multi-Container Apps with Docker Compose

  • Introduction to Docker Compose
  • Defining Multi-Container Stacks with AI
  • Environment Configuration and Secrets
  • Debugging and Explaining Compose Files with AI

Topic 4 Deploying and Scaling with AI

  • Building a CI/CD Pipeline
  • Deploying Containers to the Cloud
  • Monitoring, Logging and Security
  • Optimising and Scaling Your Containers

Course Info

Promotion Code

Your will get 10% discount voucher for 2nd course onwards if you write us a Google review.

Minimum Entry Requirement

Knowledge and Skills

  • Able to operate using computer functions
  • Minimum 3 GCE ‘O’ Levels Passes including English or WPL Level 5 (Average of Reading, Listening, Speaking & Writing Scores)

Attitude

  • Positive Learning Attitude
  • Enthusiastic Learner

Experience

  • Minimum of 1 year of working experience.

Target Age Group: 18-65 years old

Minimum Software/Hardware Requirement

Software:

Hardware: Window or Mac Laptops

Job Roles

Job Roles

  • DevOps Engineer
  • Cloud Solutions Architect
  • Software Developer
  • Infrastructure Engineer
  • Site Reliability Engineer (SRE)
  • Systems Administrator
  • IT Operations Specialist
  • Platform Engineer
  • Microservices Developer
  • Release Manager
  • Network Administrator (focusing on cloud-native applications)
  • Continuous Deployment Specialist
  • Backend Developer
  • Cloud Security Specialist
  • Container Orchestration Manager

Trainers

Trainers

Saeid is co-founder of Skymics Sdn Bhd. He has 8 years of experience in the field of IoT (Internet of Things) and Information Technology. He is a certified IBM IoT Practitioner and instructor, and a Certified Citizen Data Scientist Train-The-Trainer. He has been co-inventor of 3 inventions during the last 4 years.

Review

Customer Reviews (6)

Very informative Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
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3. How do you find the training environment
Very engaging session. The trainer patiently answered all our questions and gave useful tips. (Posted on 14/07/2024)

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