Four-Week Applied Journey
Week 3 of 4- 01ThinkCompleted
- 02DiscoverCompleted
- 03DesignIn progress
- 04DefendUpcoming
- Discovery briefs8
- Decision logs6
- Designs submitted4
Practise customer discovery, make architecture trade-offs and defend your design in guided Data & AI labs. Build a decision log and a solution you can explain to a reviewer.
Three decisions · Immediate feedback · No signup
The gap
Architecture begins when delivery choices are connected to business decisions, constraints, cost and risk.
Discover
Find the real requirement behind the request
Decide
Weigh the options and record the trade-off
Design
Shape an architecture that fits the need
Review
Defend the design against a clear rubric

Engineering focus: Build data pipelines
Architecture focus: Define the business outcome
Engineering focus: Implement selected platforms
Architecture focus: Compare patterns and justify the choice
Engineering focus: Deliver assigned requirements
Architecture focus: Discover and challenge requirements
Engineering focus: Make the solution work
Architecture focus: Balance cost, risk, security and scale
Engineering focus: Optimize the component
Architecture focus: Optimize the end-to-end system

An engineer delivers the solution. An architect proves it is the right solution.
Architecture challenge
Work through one realistic data-platform scenario. Clarify the business need, choose an architecture pattern and defend the trade-off.
Opens the live experience at app.dataxai.in
One scenario · Three decisions
Clarify the needbusiness outcome, users, latency, constraints
Choose a patternbatch, micro-batch, streaming
Defend the trade-offcost, scale, reliability, governance
| Aspect | Batch | Micro-batch | Streaming |
|---|---|---|---|
| Latency | 2 of 3 | 3 of 3 | 3 of 3 |
| Cost | 3 of 3 | 2 of 3 | 1 of 3 |
| Reliability | 3 of 3 | 3 of 3 | 2 of 3 |
Immediate explanation after every decision
An enterprise is consolidating multiple data sources. Finance needs a reliable daily report, while Operations asks for real-time data.
Product journey
Real screens from the product. Pick a tab to explore each step.


Expert-led architecture mentoring
Guided by seasoned industry leaders who bring decades of real-world experience in data engineering, cloud platforms, AI, and enterprise architecture—turning complex challenges into defensible, business-ready solutions.
Technical knowledge builds solutions.Architectural judgment earns customer confidence.
Practise before the stakes are real.
Architecture capability
See how your engineers reason, decide and defend—before they face a customer.
ⓘ Cohort evidence score · Illustrative
Participants connect business outcomes to architecture choices.
Design defence weakens when cost and operational risk are challenged.
Run a focused defence clinic before customer shadowing.
| Participant | Discovery | Decisions | Design | Defence | Readiness |
|---|---|---|---|---|---|
| Participant 01 | Strong | Strong | Developing | Developing | Review |
| Participant 02 | Strong | Strong | Strong | Strong | Ready to lead |
| Participant 03 | Strong | Developing | Developing | Developing | Review |
| Participant 04 | Developing | Developing | Strong | Developing | Review |
Illustrative dashboard with sample figures. The proposed four-week accelerator works with a cohort of 6–12 engineers; scope, facilitation, effort and pricing are agreed with the sponsor. Sponsor handover: sample participant work, common capability gaps, a cohort assessment summary and a sponsor review.
Learning options
Primary purpose
Learn concepts, techniques or workflows.
Typical evidence
Exercises, projects or completion records, depending on the course.
Primary purpose
Demonstrate knowledge against a defined exam scope.
Typical evidence
Certification or exam credential.
Primary purpose
Build the judgment to uncover the real business need, evaluate critical trade-offs, make defensible architecture decisions, and confidently justify them under review.
Evidence of capability
Validated requirements, documented architecture decisions with clear rationale and trade-offs, a complete solution design, and evidence-based review feedback.
FAQ
The introductory challenge has three decisions and can be completed at your pace.
Yes. Start with the challenge on the platform at app.dataxai.in. To ask about access to the full labs, send us an inquiry.
The challenge is free. Team pricing is based on cohort size, facilitation and reporting needs. Request a pilot proposal to discuss it.
A discovery brief, documented decisions, an architecture design and review feedback.
The proposed pilot spans four weeks. Agree cohort size, schedule, scenario and review criteria during scoping.
No. The challenge score reflects decisions in one example scenario. A formal credential requires a separate assessment process.