Know why this route fits.
Connect the programme to your current experience, target work and realistic weekly commitment.
Build practical depth.Learn with direction.Move with confidence.
ACYRA’s technology training connects structured learning with live practice, code review and career context—so professionals can build capability they can use and explain.
LIVE LEARNINGQuestions meet real guidance
APPLIED WORKBuild, review and explain
Training should change
what you can build—not just what you know.
Technology careers move through applied depth. A useful programme gives concepts somewhere to go: into code, systems decisions, questions, critique and the ability to explain your work.
ACYRA’s training experience is organised around that movement—from understanding the route to practising the work and making progress visible.
One learning model.
Four deliberate moves.
The sequence gives each programme a practical spine without pretending that every learner starts in the same place.
Build the right foundations.
Work through the concepts, tools and system patterns that matter to the chosen domain.
Turn knowledge into decisions.
Use exercises, assignments, doubt-clearing and code review to strengthen applied understanding.
Explain the work clearly.
Connect technical output to the standards, projects or deeper systems contribution named by the programme.
Data + AI Academy courses
Compare the full programme details—not only the topic. Duration, delivery, prerequisites and required effort all shape whether a route is right for you.
On desktop: select a course heading to focus its column.
On mobile: switch courses to read one complete profile at a time.
| Compare | ||||
|---|---|---|---|---|
| Duration | 3 Months (In-person) | 3 Months (Weekends) | 3 Months | 6 months, Part-time |
| Delivery | Sat + Sun (2-3 hrs/day) & Tue + Thu (30-60 mins/day) for reinforcement, doubt-clearing & code review | Live Online on Weekends (3 hours) + Open office hours | Cohort-based, hybrid sessions | Live Online on Weekends (3 hours) |
| Program Fee | ₹60,000 + 18% GST -- Limited seats | ₹60,000 + 18% GST -- Limited seats | ₹60,000 + 18% GST -- Limited seats | ₹1,50,000 + 18% GST -- Limited seats |
| 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 |
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| Pre-requisites |
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| Success Criteria |
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| Employment Pathway |
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| 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 |
| Contact action | Talk to a Coordinator | Talk to a Coordinator | Talk to a Coordinator | Talk to a Coordinator |
Real-Time Data Bootcamp
November 1, 2026 Curriculum
- Duration
- 3 Months (In-person)
- Delivery
- Sat + Sun (2-3 hrs/day) & Tue + Thu (30-60 mins/day) for reinforcement, doubt-clearing & code review
- Program Fee
- ₹60,000 + 18% GST -- Limited seats
- Format
- Hybrid — Weekdays, In-Person
- Cohort Size
- 12-18 students
- Scholarship
- Yes, contact us
- Certificate
- Yes
- Audience Fit
- Career transition route
- Prior customer-facing/professional experience preferred
- Moving into data engineering
- Pre-requisites
- SQL & database concepts
- Programming (Python / Java / Scala) preferred
- Exposure to enterprise data domains or ETL technologies is a big plus
- Success Criteria
- Earn the CCDAK certification
- Write real-time stream processing pipelines
- Employment Pathway
- Fast-track into Platformatory
- Startups
- India GCCs
- Effort Required
- ~5–6 hrs/day (in-class + assignments), 3 days/week
- Effort Gradient
- High
Data x Agentic AI Immersion
November 1, 2026 Curriculum
- Duration
- 3 Months (Weekends)
- Delivery
- Live Online on Weekends (3 hours) + Open office hours
- Program Fee
- ₹60,000 + 18% GST -- Limited seats
- Format
- Hybrid — Weekends + Office Hours
- Cohort Size
- 12-18 students
- Scholarship
- Yes, contact us
- Certificate
- Yes
- Audience Fit
- Career transition route
- Prior customer-facing/professional experience preferred
- Moving into data & agentic AI engineering
- Pre-requisites
- SQL & database concepts
- Programming (Python / Java / Scala) preferred
- Exposure to enterprise data domains or ETL technologies is a big plus
- Success Criteria
- Earn a Databricks certification
- Proficiency with table formats
- Ingest/process data in the lakehouse with PySpark/SQL
- Build agents grounded in golden data products
- Employment Pathway
- Fast-track into Platformatory
- Startups
- India GCCs
- Effort Required
- ~2–3 hrs/day average (weekday prep + weekend live sessions)
- Effort Gradient
- Moderate
Platform Engineering Bootcamp
November 1, 2026 Curriculum
- Duration
- 3 Months
- Delivery
- Cohort-based, hybrid sessions
- Program Fee
- ₹60,000 + 18% GST -- Limited seats
- Format
- Hybrid — Weekdays, In-Person
- Cohort Size
- 12-18 students
- Scholarship
- Yes, contact us
- Certificate
- Yes
- Audience Fit
- DevOps/SRE engineers seeking a career lift
- Fresh grads with active interest in infra systems
- Pre-requisites
- Basic Linux, networking & container fundamentals
- DevOps/SRE experience a plus, not required
- Success Criteria
- Earn a CKA/CKAD/CKS certification
- Golang proficiency; build K8s operators from scratch
- Deep-dive on the L4-L7 proxy/gateway plane
- Employment Pathway
- Fast-track into Platformatory
- DevOps/Platform roles at high-growth companies
- Effort Required
- ~4–5 hrs/day across the cohort schedule
- Effort Gradient
- Moderate
Distributed x Data. Sys Design & Internals
November 1, 2026 Curriculum
- Duration
- 6 months, Part-time
- Delivery
- Live Online on Weekends (3 hours)
- Program Fee
- ₹1,50,000 + 18% GST -- Limited seats
- Format
- Hybrid — Weekends
- Cohort Size
- Only 6 students
- Scholarship
- Not offered
- Certificate
- No
- Audience Fit
- Already working in backend/infrastructure roles
- Going deeper into systems internals
- Not a career-transition track
- Pre-requisites
- Senior-level backend/infrastructure experience
- Strong CS fundamentals (data structures, networking, OS basics)
- Success Criteria
- 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
- FAANG and top infrastructure teams
- Effort Required
- ~2–3 hrs/day average (weekday prep + weekend live sessions)
- Effort Gradient
- Extra High
Important: Employment pathways describe intended routes, not guaranteed interviews, placement or employment. Programme details shown are based on the supplied course information; confirm current availability, curriculum, eligibility and payment terms directly with the coordinator before enrolling.
What the learning
has delivered.
Classroom experience, applied engineering work and career outcomes across the academy’s completed cohorts.
12+
Cohorts Delivered
Not our first build – multiple cohorts refined through real classroom learning.
92+
Data Engineers Trained
Every learner built, debugged, and deployed real-time data pipelines.
99%
Job Success Rate
Graduates who complete the program land roles in data & platform engineering.
42%
Average Salary Lift
Typical salary increase moving from service-based to product-based companies.
100%
First-Attempt Certification
Of everyone who attended achieved an industry Data/AI certification on their first attempt.
Outcome figures and descriptions supplied by ACYRA. Individual career outcomes can vary by experience, programme completion and market conditions.
What makes this
programme different?
Learning is designed around practice, judgment and feedback—not passive content consumption.
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.
Learning has a rhythm.
Not a pile of recordings.
Select each part of the practice loop to see how a structured week can help concepts become usable capability.
Live
Reinforce
Build
Review
LIVE SESSIONS
Make the concept visible.
Use instructor-led time to connect ideas, ask better questions and see how technical decisions fit together.
Choose by starting point,
not by the loudest topic.
The comparison becomes useful when you begin with what you already know, the work you want to move towards and the practice time you can protect.
Begin with the transition routes.
Compare the Real-Time Data Bootcamp and Data x Agentic AI Immersion, then check the shared SQL, database and programming prerequisites.
Look at platform depth.
The Platform Engineering Bootcamp is framed for active infrastructure interest, with Linux, networking and containers as the foundation.
Choose the advanced systems route deliberately.
The distributed systems programme expects senior-level experience and strong computer-science fundamentals; it is not presented as a career-transition track.
Bring your context.
Leave with a clearer route.
A useful coordinator conversation starts with three things: your current experience, the work you want to move towards and the time you can commit each week.
CurrentWhat have you already built or worked with?DirectionWhich kind of technical work do you want next?CommitmentWhich format and effort can you realistically sustain?
Talk to the Acyra team
Before you choose a programme.
Important details from the programme comparison, gathered in one place.
When do the listed programmes begin?
All four supplied programme listings show November 1, 2026. Confirm that date and current seat availability with the coordinator before enrolling.
Are the programmes online or in person?
The format varies. The Real-Time Data and Platform Engineering bootcamps include in-person weekday delivery; the Agentic AI and distributed systems routes centre weekend learning. See the comparison for the exact delivery wording supplied for each course.
Are scholarships and certificates available?
The supplied information lists scholarships and certificates for the first three programmes. The Distributed x Data. Sys Design & Internals programme lists no scholarship and no certificate.
Which programme is intended for a career transition?
The Real-Time Data Bootcamp and Data x Agentic AI Immersion are explicitly described as career-transition routes. The distributed systems programme is explicitly not a career-transition track.
Does the employment pathway guarantee a job?
No. The pathway language is reproduced from the supplied programme information, but training, certification and programme completion do not guarantee interviews, placement or employment.
The right programme should fit
both your ambition and your week.
Compare the details, name your starting point and speak with a coordinator before you commit.
