DevOps, Docker & CI/CD for Data Platforms
Containers, Git workflows, CI/CD and infrastructure-as-code applied to data platforms.
- ✓ Instructor-led live sessions, online or in Bengaluru
- ✓ Hands-on labs in every module
- ✓ Capstone project with trainer review
- ✓ Curriculum customisable for corporate teams
- ✓ Certificate of completion
Next batch: Sat, 09 Jan 2027 · 32 hours · 4 days
DevOps for DataDevOps, Docker & CI/CD for Data Platforms
Duration: 32 hours · 4 days
Next batch: Sat, 09 Jan 2027
Format: Online live · Bengaluru classroom
Modules: 8 · Topics: 38
Level: Intermediate
Fee: ₹14,999
Trusted by leading experts
Upcoming batches
Open batches for individuals; corporate batches on your dates.
| Programme | Starts | Mode | Schedule | Duration | |
|---|---|---|---|---|---|
| DevOps, Docker & CI/CD for Data Platforms | Sat, 09 Jan 2027 | Online live | Weekend (Sat) | 5 Saturdays | Enquire |
| DevOps, Docker & CI/CD for Data Platforms | Mon, 01 Mar 2027 | Online live | Weekday | 4 days | Enquire |
Soaring demand, and where it takes you
Data teams are adopting software engineering practices to improve reliability, increasing demand for DataOps skills.
Become an expert
Roles this programme prepares you for:
Become a DataOps Engineer
Automates testing and deployment of data pipelines.
- Use Git branching and pull requests effectively
- Containerise data tools with Docker
- Build CI pipelines that test SQL and Python
About the course
Engineering discipline for data teams: Git workflows, code review, containers, CI/CD for SQL and pipelines, infrastructure as code and environment management.
Containers, Git workflows, CI/CD and infrastructure-as-code applied to data platforms.
Why should I attend?
Data engineers
Analytics engineers
Platform teams
BI developers using code
Prerequisites
SQL or Python; command-line basics
Level
Intermediate
Delivery modes, duration and fee
Online live
Instructor-led virtual classroom; weekday (full-day) or weekend (Saturday) batches
Bengaluru classroom
In-person batches at our Bengaluru training venue
On-site at your office
Private corporate batch anywhere in India, scheduled around your teams
Blended
Live sessions plus guided self-paced labs and mentor check-ins
Duration: 32 hours · 4 days
Course fee (open batch): ₹14,999
Corporate / team batches: per-participant or flat batch pricing on request, based on group size, format and customisation.
What will you learn
- Use Git branching and pull requests effectively
- Containerise data tools with Docker
- Build CI pipelines that test SQL and Python
- Deploy pipelines automatically across environments
- Provision infrastructure with Terraform
- Manage secrets and configuration safely
Skills you will gain
Version control
Automation
Infrastructure
Tools and platforms covered
Git
GitHub
Docker
GitHub Actions
Terraform
dbt
PythonCourse curriculum
M01 Why DevOps for data
- Common failures
- DataOps principles
- Environments
- Dev, test and prod for data
- Change management
🧪 Hands-on: Assess a team's workflow
M02 Git for data teams
- Branching
- Pull requests
- Code review
- Commit conventions
- Merge strategies
🧪 Hands-on: Run a review workflow
M03 Containers
- Docker basics
- Images for data tools
- Compose
- Multi-stage builds
- Image security
🧪 Hands-on: Containerise a pipeline
M04 CI/CD
- Testing SQL and Python
- Pipelines
- Deployment
- dbt CI
- Data diff tools
🧪 Hands-on: Build a CI/CD pipeline
M05 Infrastructure as code
- Terraform basics
- Modules
- State
- Remote state
- Plan reviews
🧪 Hands-on: Provision a data environment
M06 Secrets and configuration
- Secret managers
- Configuration
- Promotion
- Environment variables
- Rotation
🧪 Hands-on: Secure the pipeline
M07 Observability for data platforms
- Pipeline metrics
- Data freshness alerts
- Logging
- Dashboards
🧪 Hands-on: Add monitoring to a containerised pipeline
M08 Capstone: DataOps pipeline
- Repo setup
- CI
- IaC
- Deploy
🧪 Hands-on: Deliver a pipeline deployed through CI with infrastructure as code
Hands-on projects
Automated data deployment
A pipeline with tests, CI/CD and Terraform-provisioned environments.
Why train with us
Built around your stack
Labs and examples adapted to the tools, cloud and data your team actually uses.
Practice-first
Every module ends in a lab, and the course ends with a reviewed capstone.
Practitioner-led
Delivered by Karthick Selvam and vetted specialist trainers from our network.
Visible progress
Attendance, lab completion and assessment results shared with your L&D team.
Certificate of completion
Participants who complete the labs and capstone receive a Learning Dots certificate of completion for DevOps, Docker & CI/CD for Data Platforms. [confirm certificate wording / sample image]
Learner reviews
“[Verified learner review for this course]”
“[Verified learner review for this course]”
Meet your trainer
Karthick Selvam
Founder · Data Engineering Corporate Trainer, Bengaluru
[Trainer bio, experience and areas of expertise]
Frequently asked questions
Is this different from general DevOps training?
Yes; examples and labs are built around data pipelines and SQL.
Can the curriculum be customised for our team?
Yes. Modules, depth, duration and labs can be tailored to your stack and goals.
What delivery formats are available?
Online live instructor-led sessions, Bengaluru classroom, or on-site at your office.
How do we enquire or book?
Use the enquiry form on this page or the Enquire button next to any batch.
What does it cost?
The open-batch fee is ₹14,999 per participant plus GST. Corporate batches are priced on group size, format and customisation.
How long is the course?
32 hours · 4 days. Corporate batches can be split into half-day sessions.
A closer look
About this course
Engineering discipline for data teams: Git workflows, code review, containers, CI/CD for SQL and pipelines, infrastructure as code and environment management.
What is DevOps, Docker & CI/CD for Data Platforms?
Containers, Git workflows, CI/CD and infrastructure-as-code applied to data platforms.
Who this course is for
Data engineers, Analytics engineers, Platform teams, BI developers using code.
What you will be able to do
Use Git branching and pull requests effectively. Containerise data tools with Docker. Build CI pipelines that test SQL and Python. Deploy pipelines automatically across environments. Provision infrastructure with Terraform. Manage secrets and configuration safely.
Career paths
Roles this course supports include DataOps Engineer, Data Platform Engineer, Analytics Engineer. Data teams are adopting software engineering practices to improve reliability, increasing demand for DataOps skills.
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DevOps & SRE guides
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