Advanced 8–10 week masterclasses · Live · Small batches
Live 8–10 week masterclasses in Databricks, PySpark, AWS / Azure / GCP data engineering, Generative AI, Claude agentic AI, Multi-Cloud DevOps and Snowflake with dbt — taught by Venu Katragadda, 14+ years in industry, 1,200+ professionals trained.
Technologies you will actually build with
Upcoming batches
Pick a start date, then one of three daily slots. Classes run Monday to Friday, live and instructor-led on Zoom or Google Meet, capped small and recorded the same day — and you can re-attend any module in a later batch free.
Morning batch 1 · Mon–Fri
US Eastern 8:30 – 10:00 PM EDT Sun–Thu
Next start Fri, Oct 9
Before office hours in India — an evening class for US learners.
Reserve a seat →Morning batch 2 · Mon–Fri
US Eastern 10:00 – 11:30 PM EDT Sun–Thu
Next start Fri, Oct 9
The second morning slot, same curriculum — late evening in the US.
Reserve a seat →Evening batch · Mon–Fri
US Eastern 9:30 – 11:00 AM EDT Mon–Fri
Next start Fri, Oct 9
After work in India — a morning class for US learners.
Reserve a seat →Class times are fixed in IST. US Eastern times are shown for the next start date and move by one hour when US daylight saving time begins or ends.
Need the weekend (Sat & Sun) batch, or not sure which slot fits? WhatsApp +91-9247159150 and we'll hold a seat while you decide.
Courses
Each is built backwards from real job descriptions — the modules, the tools and the projects map to what hiring managers actually test. Looking for the shorter foundation courses? They live on databrickstraining.in.
Eight structured weeks from Spark/PySpark foundations to a production Lakehouse you built yourself — Delta Lake, Lakeflow, Unity Catalog, streaming and CI/CD.
The deepest PySpark course we teach — internals, tuning, testing and streaming, not just the DataFrame API.
Nine structured weeks from PySpark foundations to production AWS pipelines — Glue, Lambda, Step Functions, EMR, Redshift, MSK/Kinesis, Airflow and Databricks.
Ten structured weeks from PySpark foundations to production Azure pipelines — ADF, ADLS Gen2, Databricks, Delta Lake, Event Hubs, Airflow and Microsoft Fabric.
BigQuery-first data engineering on Google Cloud, with real Beam pipelines and a Composer-orchestrated platform you build yourself.
Engineering-grade GenAI: you will ship a RAG system and an agent that survive evaluation, cost review and a security audit.
A full engineering course built around one model family — the API, the protocol, the agent patterns and the production economics.
One toolchain, three clouds. Build a real platform: IaC, GitOps, Kubernetes, observability and security — not a tutorial pipeline.
Learn the warehouse and the transformation layer together, the way modern data teams actually build.
Your trainer
14+ years building data platforms at L&T Infotech, Capgemini, Brillio and Manthan Systems. 1,200+ professionals trained since Sreyobhilashi IT started.
Every session on this site is taught by Venu personally. He teaches the decisions, not just the syntax: which service, which file format, which join strategy, what it costs, and how to defend the choice in a design review.
Capped batch sizes so you can interrupt, ask and get code reviewed in the session.
Multi-hundred-million-row datasets, skewed joins, dirty CDC feeds — the problems that break tutorials.
Every track has a cost-optimisation module. Knowing why a job costs $180 a night is a senior skill.
Question banks, mock interviews, resume rewrites and a portfolio you can actually demo.
How it works
Sit in on a real session. No card, no commitment.
2-hour sessions, hands-on labs, recordings the same day.
Three reviewed portfolio projects per track.
Resume rewrite, mock interviews, certification prep.
Verified Google reviews. Read all 320+ →
“Recently took Databricks classes with Venu to upskill in trending technologies, and the experience exceeded all expectations. While I initially sought guidance only on Databricks, Venu provided in-depth training across the entire ecosystem.”
“This training has exceeded my expectations. Venu explains concepts clearly and uses hands-on examples that make the content easy to understand. I am learning a lot and would definitely recommend.”
“I recently completed the Data Engineering course on Databricks and AWS. Venu Sir delivers instruction at the next level, focusing on high-performance learning. He explains every concept clearly and thoroughly, accompanied by practical examples.”
“I had a truly valuable experience with Venu's Spark training along with AWS & Azure Databricks Training. He is highly knowledgeable, and the sessions are very well structured with extensive hands-on coverage.”
“I had a truly valuable experience with Sreyobhilashi's AWS & Azure Databricks Training & Placement Program. The trainers are highly knowledgeable, with hands-on coverage of Spark, Kafka, Flink, NiFi, Airflow, Azure, Snowflake and more.”
“Venu sir has explained end to end streaming project, data cleansing, and parsing various source data. This has helped me in my project work. Also, explanation on spark architecture and other key concepts helped me understand spark fundamentals.”
Corporate training
Customised 2-day to 12-week programmes for engineering teams, delivered on your stack, with your data, on your schedule. Onsite in India or live online worldwide.
All classes are live and instructor-led over Zoom or Google Meet, in small batches. Weekday (early morning / evening IST) and weekend batches run in parallel. Every session is recorded and posted the same day, and you get lifetime access.
A new batch starts every Friday. You pick one of three daily slots — 6:00–7:30 AM IST, 7:30–9:00 AM IST or 7:00–8:30 PM IST — and classes then run Monday to Friday in that slot. In US Eastern time the two morning slots start at 8:30 PM and 10:00 PM the previous evening and the evening slot at 9:30 AM the same day (EDT, mid-March to early November); each is one hour earlier in winter (EST: 7:30 PM, 9:00 PM and 8:30 AM). A weekend (Saturday and Sunday) batch runs as well.
Courses run 90–120 hours of live instruction depending on the track — the Databricks programme is 8 weeks, AWS 9 weeks and Azure 10 weeks, with weekday sessions plus a weekend masterclass. Each course page lists its own week-by-week breakdown. Labs and assignments add another 40–60 hours of self-paced work.
We provide resume review, LinkedIn profile optimisation, an interview question bank and one mock interview with feedback. We do not guarantee placement and we never attend interviews on a candidate's behalf.
Watch the recording, then bring your questions to the next session or to the weekly doubt-clearing hour. You can also re-attend the same module in any future batch at no extra cost.
Yes — a course completion certificate after you finish the capstone project. Vendor certifications (Databricks, AWS, Azure, GCP, SnowPro) are separate exams booked directly with the vendor; each course includes dedicated exam preparation.
Yes. Fees can be split across instalments, and EMI options are available. Ask your course advisor for the current plan when you request the syllabus.
One hour, a real session, your questions answered. If it is not for you, walk away — no follow-up spam.