Docker & Containers
Docker & Containers is an 8-week intermediate course teaching how to write Dockerfiles, manage volumes and networking, use Docker Compose for multi-service apps, and build secure multi-stage production images. Learners with Linux shell experience containerize a web app with a persistent database and build a secure, resource-limited production image with non-root users and image scanning.
Package an application in a container with a reproducible image, explicit runtime configuration and durable-data boundaries.
What you'll learn
Course details
Duration
8 weeks
Best for
Learners who already have: Linux shell and a small application.
Enrollment isn't open for this course yet — check back soon or contact us.
Course Curriculum
A module-by-module breakdown of what you'll cover in Docker & Containers.
01Basic
4 topicsWeeks 1–2
- What is Docker, and why containerize applications?
- Writing Dockerfiles: layers, base images, and common instructions
- Volumes and networking: persisting data and connecting containers
- Project: Containerize a simple web app with a persistent database
02Intermediate
4 topicsWeek 3
- Docker Compose: managing multi-container applications
- Environment variables and configuration management
- Debugging containers: logs, exec, and inspect
- Project: Build a multi-service app with Compose, config, and debugging
03Advanced
4 topicsWeeks 4–5
- Turn a business request into a testable contract
- Build images from deliberate, reproducible inputs
- Separate container identity from persistent data
- Coordinate local services without assuming instant readiness
04Pro
4 topicsWeek 6
- Multi-stage builds: smaller, more secure production images
- Container security: non-root users and image scanning
- Resource limits and container orchestration concepts
- Project: Build a secure, resource-limited, multi-stage production image
05AI Pro
3 topicsWeeks 7–8
- Using AI tools (ChatGPT, Claude, Perplexity) to write and debug Dockerfiles
- Verifying AI-suggested Dockerfiles and Compose configurations actually work
- Project: Use AI to build a multi-service setup, then verify every claim
Tools & Technologies
Hands-on practice with the same tools used by working professionals.
Part of a bigger program
This skill is one of the real building blocks inside these Career Programs— worth a look if you want the fuller, job-ready path instead of just this one piece.
Real-Time, Industry-Based Projects
This is project-based learning modeled on real industry scenarios — you'll build portfolio-ready work as you go, not just watch lectures.
Every course includes a guided internship on top of your project work — so you graduate with real experience, not just a certificate.
Communication & Soft Skills
Built into every course, alongside the technical curriculum.
Communication Skills
Practice explaining technical work clearly to teammates, managers, and clients.
Practical AI Skills
Hands-on training in using AI tools well — prompting, everyday workflows, and where AI actually helps versus where it doesn't.
Teamwork & Collaboration
Work in small project teams using real workflows like stand-ups and code reviews.
Problem Solving
Build the habit of breaking down ambiguous problems into clear, solvable steps.
Time Management
Learn to plan, prioritize, and deliver project work against realistic deadlines.
Presentation Skills
Present your project work and results with confidence, as you would to a client.
Resume & Profile Building
Build a strong resume, LinkedIn profile, and project portfolio that recruiters notice.
Interview Preparation
Mock interviews and portfolio reviews to get you ready for real job applications.
Career & Placement Support
100% of students enrolled in Docker & Containers get full access to placement support — real tools and guidance, not just a promise. This is support and access, not a guaranteed job outcome.
Resume Builder
A resume auto-built from your real completed projects and certificates, ready to export.
Shareable Portfolio
A public portfolio page showcasing your approved projects, with a link you can share with employers.
Interview Preparation
Guidance on presenting your projects and experience clearly in real interviews.
Peer & Mentor Community
Ongoing access to our learner community for questions, feedback, and support after you finish.
What Your Certificates Look Like
Real, verifiable certificates with your name, Docker & Containers, and a QR code anyone can scan to confirm they're genuine — one for completing the course, and a separate one if you take the internship track. Earning a certificate is free. To view, download and share it, there's a one-time ₹100 release fee per certificate — the same for free-course, paid-course and internship certificates.
Course Completion Certificate
Data24ZoneCertificate of Completion
Illustrative recipient
Your Name Here
Example certificate for completion of
Docker & Containers
- Certificate No.
- D24-SAMPLE
- Mode
- Self-Paced
- Duration
- 8 weeks
- Example issue date
- On completion
Sample only — not a real, issued certificate.
Verification is available only on issued certificates.
Internship Completion Certificate
Data24ZoneCertificate of Internship
Illustrative recipient
Your Name Here
Example certificate for completion of
Docker & Containers
- Certificate No.
- D24-SAMPLE
- Mode
- Internship
- Duration
- 8 weeks
- Example issue date
- On completion
Sample only — not a real, issued certificate.
Verification is available only on issued certificates.
Frequently Asked Questions
What will I learn in the Docker & Containers course?
You'll learn: Turn a business request into a testable contract; Build images from deliberate, reproducible inputs; Separate container identity from persistent data; Coordinate local services without assuming instant readiness.
What tools and technologies does the Docker & Containers course cover?
This course covers: Docker, Docker Compose, ChatGPT, Claude, Perplexity.
Is the Docker & Containers course beginner-friendly?
This is a intermediate-level course, so it assumes some prior familiarity with the subject.
How long does the Docker & Containers course take to complete?
The course is designed to be completed in approximately 8 weeks, depending on your pace.
What enrollment options are available for Docker & Containers?
Project Training Track (₹1,499) — One defined learning project and 2 review sessions; no employment or stipend included. Self-Paced (₹1,999) — Learn anytime with the full recorded curriculum and community access.
Is there an internship option for Docker & Containers?
Yes — the Internship track means working through real projects with our team and earning a separate Internship Certificate.
Will I get a certificate after completing Docker & Containers?
Yes. Self-paced enrollment earns a course completion certificate once your final project is reviewed and approved. Internship enrollment earns an internship certificate once your internship projects are approved. Every certificate is publicly verifiable on our website and can be added directly to your LinkedIn profile. Earning it is free; releasing it to view, download and share is a one-time ₹100 fee per certificate.
What kind of projects will I build in Docker & Containers?
You'll work on real projects such as: Containerized API and database development environment.
Is placement support included with Docker & Containers?
Yes — every enrolled student gets full access to our placement support: resume building, a shareable project portfolio, mock interview preparation, and guidance applying what you've built to real job applications. This is support and access, not a guaranteed job outcome — how quickly it leads to an offer depends on the market and your own effort.
