Data + AI Academy | Platform Engineering Bootcamp

Data+AI Academy Courses

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Compare	Real-Time Data Bootcamp — Curriculum	Data x Agentic AI Immersion — Curriculum	Platform Engineering Bootcamp — Curriculum	Distributed Systems & DB Internals — Curriculum
Duration	—	—	—	—
Delivery	—	—	—	—
Program Fee	— Pay Now	— Pay Now	— Pay Now	— Pay Now
Format	Hybrid — Weekdays, In-Person	Hybrid — Weekends + Office Hours	Hybrid — Weekdays, In-Person	Hybrid — Weekends
Cohort Size	12-18 students	12-18 students	12-18 students	Only 6 students
Scholarship	Yes, contact us	Yes, contact us	Yes, contact us	Not offered
Certificate	Yes	Yes	Yes	No
Audience Fit	Career transition route Prior customer-facing/professional experience preferred Moving into data engineering	Career transition route Prior customer-facing/professional experience preferred Moving into data & agentic AI engineering	DevOps/SRE engineers seeking a career lift Fresh grads with active interest in infra systems	Already working in backend/infrastructure roles Going deeper into systems internals Not a career-transition track
Pre-requisites	SQL & database concepts Programming (Python / Java / Scala) preferred Exposure to enterprise data domains or ETL technologies is a big plus	SQL & database concepts Programming (Python / Java / Scala) preferred Exposure to enterprise data domains or ETL technologies is a big plus	Basic Linux, networking & container fundamentals DevOps/SRE experience a plus, not required	Senior-level backend/infrastructure experience Strong CS fundamentals (data structures, networking, OS basics)
Success Criteria	Earn the CCDAK certification Write real-time stream processing pipelines	Earn a Databricks certification Proficiency with table formats Ingest/process data in the lakehouse with PySpark/SQL Build agents grounded in golden data products	Earn a CKA/CKAD/CKS certification Golang proficiency; build K8s operators from scratch Deep-dive on the L4-L7 proxy/gateway plane	Contribute meaningfully to large infrastructure projects Sound sense of low-level programming, OS, databases Practical algorithms & strategies Intuition for high-performance systems
Employment Pathway	Fast-track into Platformatory Startups India GCCs	Fast-track into Platformatory Startups India GCCs	Fast-track into Platformatory DevOps/Platform roles at high-growth companies	Fast-track into Platformatory FAANG and top infrastructure teams
Effort Required	~5–6 hrs/day (in-class + assignments), 3 days/week	~2–3 hrs/day average (weekday prep + weekend live sessions)	~4–5 hrs/day across the cohort schedule	~2–3 hrs/day average (weekday prep + weekend live sessions)
Effort Gradient	High	Moderate	Moderate	Extra High
	I'm Interested	I'm Interested	I'm Interested	I'm Interested

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Cohorts Delivered

Not our first build - multiple cohorts refined through real classroom learning.

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Data Engineers Trained

Every learner built, debugged, and deployed real-time data pipelines.

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Job Success Rate

Graduates who complete the program land roles in data & platform engineering.

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Average Salary Lift

Typical salary increase moving from service-based to product-based companies.

Our Alumni have been placed at

What Sets Us Apart

What Makes This Program Different?

Learn by Doing

You build real pipelines and platforms, hands-on — not watch pre-recorded videos.

Learn from Do-ers

Every session is taught by practitioners actively building and operating these systems — not instructors reading slides.

Learn by Sparring

Reinforcement, not repetition — you drill concepts through hands-on practice and direct feedback from your mentors.

Learn by First Principles

The computing fundamentals of data and AI, so tools change and you still know what to do.

Learn to Teach

The highest form of learning. Alumni who can explain, mentor, and multiply the craft.

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How We Stand Ahead

Why Join Data+AI Academy?

Feature	Data + AI Academy	Online Courses / Video Platforms	Traditional Training Center
Coaching	Coaching by practitioners Learn from people who've actually built real systems	Professional Content Creators	Professional trainers (usually not practitioners)
Learning Format	In-person and hybrid options Better focus, real connection, strong learning curve	Fully Virtual	In-person, classroom-style
Personal Support	Office hours for 1:1 feedback and guidance Someone will always be here to guide you	1:N, broadcast only (with labs)	1:N broadcast only (low personal connect)
Labs & Assignments	Personalized labs and assignments Build real skills, not just finish assignments	Standard labs and assignments	Standard labs and assignments
Real-World Projects	Real-life projects and exposure to OSS Gain experience you can talk about in interviews	Only assignments	Capstone projects have no real-life relevance
Career Support	Skin in the game. We hire and give referrals Your success matters to us	No hiring conduit	No hiring. Only referral
Cohort Size	30-40 students Small group, more attention, best results	Large audience	Large audience