Engineering Thinking for the AI Era
Practical Data & AI Engineering Training with personal attention.
DataKern offers two live, small-cohort programs — each with guided project work, real engineering depth, and direct instructor feedback.
Small cohorts · Applications open for the next batch.
Risk-free: Start with the Masterclass before committing.
Live System
Ingest
ADLS Gen2 · Event-driven
Transform
Databricks · Delta Lake
Serve
Power BI · REST APIs
12+
Modules
2
Capstones
Live
Sessions
How you will learn
Our process is designed to mimic real engineering work. No toy datasets, no multiple-choice quizzes.
Learn Concepts
Live, interactive sessions focusing on architecture and design decisions.
Build Systems
Hands-on assignments where you write code and configure cloud infrastructure.
Get Reviewed
Receive direct feedback on your pull requests from a senior architect.
Ship to Portfolio
Deploy your capstone project and prepare to talk about it in interviews.
Start where it makes sense for you.
Both the Data Engineering and AI Engineering programs share the same three-tier structure. Pick your depth — you can always go deeper.
Entry Point
Masterclass
€10
3 hours · Single live session
Understand the field before committing. A practical, live introduction with real-world architecture and Q&A. Free for colleges & student communities.
- Live 3-hour deep dive
- Real architecture walkthroughs
- Q&A with the instructor
- Free for colleges & student groups
Foundation
Crash Course
€55
Less than a Udemy course bundle
15 hours · 6 live sessions
Build the core skills and ship a real project. Six live sessions that cover the essentials — with hands-on assignments each week.
- 6 × 2.5-hour live sessions
- Core tools & architecture
- End-to-end project build
- Practical assignments each session
Full Depth
Full Course
€99
A fraction of standard bootcamps
30 hours · 12 live sessions
Everything in the Crash Course — plus advanced topics, production patterns, two capstone projects, personal coaching, and guest lectures from industry experts.
- 12 × 2.5-hour live sessions
- Two major capstone projects
- Production patterns & architecture
- Guest lectures from industry experts
- Personal coaching & interview prep
Which one is right for you?
Both programs use the same 3-tier model and the same teaching philosophy. The difference is what you build and the tools you master.
Program 1
Data Engineering
Engineer production-grade data pipelines and platforms on Azure.
Best for
IT professionals, career switchers (legacy, mainframes, operations), developers moving into data, and learners who want real cloud data platform skills.
What you build
- End-to-end Azure data pipeline (Bronze/Silver/Gold architecture)
- Production data platform with CI/CD, DevOps & monitoring
- Capstone project in a domain you choose
Tools & tech
Program 2
AI Engineering
Build RAG and agent-based AI systems with evaluation, tracing, and production-grade design.
Best for
Software and data engineers who want to build real AI applications — beyond prompts and demos, into production-grade RAG pipelines, agents, and evaluations.
What you build
- End-to-end RAG pipeline (document assistant with evaluation)
- Multi-tool AI agent with memory, guardrails & observability
- Capstone project in a domain you choose
Tools & tech
Corporate Training
For TeamsCustom programs for teams, executive workshops, and Data & AI bootcamps.
Learn more →1-on-1 Interview Prep
1-on-160-minute mock interview with direct feedback from Uma. Open to anyone. €35/session.
Book a session →Taught from real engineering experience.
DataKern is led by Uma Kiran Ramadugu — a Data & AI Architect at a bank in the Netherlands, with 15 years in IT and 12 years in Data & AI. Every session is taught by someone still actively building the systems you want to learn.
Classes stay small — because real feedback requires a real conversation, not a broadcast.
15+
Years in IT
12+
Years in Data & AI
Small
Cohorts
Live
Every session
Learned from engineers who've been there.
"The masterclass alone changed how I think about data pipelines. Uma doesn't just teach tools — she teaches engineering judgment."
Ravi Kumar
Data Analyst → Data Engineer
"I came from a mainframe background and was worried about starting over. The small cohort meant Uma could actually guide my thinking, not just lecture."
Suresh Patel
Mainframe Dev → Azure Data Engineer
"The AI Engineering track taught me to think about reliability and evaluation — not just 'make the chatbot work.' That's what production requires."
Anika Mehta
Software Engineer → AI Engineer
Not ready to apply yet?
Download the complete syllabus for both tracks, and get our engineering newsletter every month.
Got questions? We've got answers.
Do I need prior cloud or AI experience?
How much do the cloud tools cost?
What if I can't keep up with the live sessions?
100% Satisfaction Guarantee
If you attend the first two sessions and don't feel you're learning real engineering skills, we'll refund your entire course fee. No questions asked.
Build the engineering judgment the AI era demands.
Apply for the next batch or speak with us about training your team.
Small batches · Applications close September 10