Cloud & DevOps · Professional Specialist
Solution Architect
Frame the trade-off. Design the system. Defend the decision.
Translate business goals into secure, scalable, cost-aware architecture decisions.
Advanced layer includedIndustry Edge tools and scenario-based labs beyond the recognized core. Curriculum v1.1 • Updated Jul 2026
Recognized curriculum, prerequisites, assessments, and public fees disclosed before counselling.
Industry Edge Lab includedAdvanced tools, emerging patterns, and scenario-based labs beyond the recognized core.Registration and admissions follow-up continue securely in BharatCampus ONE.
Included beyond the published curriculum
The recognized core is your foundation—not the finish line.
Every Solution Architect cohort also enters the CohortAI Industry Edge Lab: an evolving layer of advanced tool categories, emerging architecture and production patterns, and scenario-based labs. A guided counselling preview connects the most relevant capabilities to your target role, followed by a release-governed lab sequence after enrollment.
Release-governed advanced tools Emerging architecture patterns Scenario-based labs
Fit before enrollment
Who should join
Experienced developers, technical leads, DevOps/cloud engineers and aspiring architects. Not positioned as a zero-to-job fresher shortcut.
Role pathways
Your starting point
Recommended 3+ years of software, cloud, infrastructure or data experience, or completion of an advanced CohortAI engineering track.
This is not an exclusion filter. It helps us confirm whether you can start directly or would benefit from a short bridge before the cohort.Recognized core
Skills and technology stack
These employability foundations are part of the public learning promise and remain visible before registration.
Architecture quality attributes Distributed systems Cloud patterns APIs Data and messaging Security Reliability/DR Observability FinOps Governance Architecture decision records
Build-first curriculum journey
8 missions. One defensible portfolio.
Mentor-led hybrid learning with 1.5-hour live instruction, all-day supervised practice access, weekly build evidence and a version-locked capstone.
M011 week · 6 live hours
Architecture fundamentals and quality attributes
Ambiguity to Architecture: discover the decision hidden inside the requirement.
- Business outcomes and architecture scope
- Functional versus quality requirements
- Architecture viewpoints and C4-style communication
- Trade-offs, constraints and assumptions
Guided labTranslate a vague product request into measurable quality attributes and architecture decisions.
Portfolio evidenceContext/container diagrams, quality-attribute scenarios and ADR set.
AssessmentArchitecture framing and stakeholder-review exercise.
M022 weeks · 12 live hours
Distributed systems and scalability
Scale Review: explain where the system fails first and why.
- Latency, throughput and capacity
- Stateless/stateful scaling
- Consistency, availability and partitions
- Load balancing and caching
Guided labDesign and capacity-model a high-growth service, then test failure and consistency trade-offs.
Portfolio evidenceScalability model, failure map and architecture decision memo.
AssessmentSystem-design whiteboard and trade-off defence.
M032 weeks · 12 live hours
Cloud compute, network and storage design
Service Choice Court: justify every managed service using value, risk and operability.
- Compute selection and workload fit
- Network topology, identity and connectivity
- Object, block and file storage
- Containers, serverless and managed platforms
Guided labDesign a secure cloud workload and landing-zone integration for a regulated scenario.
Portfolio evidenceCloud architecture, service decision matrix and landing-zone controls.
AssessmentCloud design review board.
M041 week · 6 live hours
Data, caching and messaging patterns
Event Story Lab: follow one business transaction across services and failures.
- Transactional versus analytical data
- Database selection and polyglot persistence
- Caching strategies and invalidation
- Queues, streams and event-driven architecture
Guided labDesign a distributed business workflow with data ownership, events and failure compensation.
Portfolio evidenceData architecture, event contracts and saga decision record.
AssessmentConsistency and data-ownership scenario defence.
M052 weeks · 12 live hours
Security, reliability and disaster recovery
Failure Is a Requirement: demonstrate how the business continues when components fail.
- Threat modelling and trust boundaries
- Identity, zero trust and secrets
- Encryption and data protection
- Reliability targets, SLO and error budgets
Guided labThreat-model a critical system and create a tested reliability/DR design with measurable objectives.
Portfolio evidenceThreat model, SLO set, DR architecture and resilience test plan.
AssessmentSecurity and resilience review board.
M061 week · 6 live hours
Observability, cost and governance
Value per Transaction: optimise cost without silently harming security or reliability.
- Logs, metrics, traces and operational context
- SLOs, alerts and incident learning
- Cost allocation, unit economics and capacity
- FinOps inform/optimise/operate cycles
Guided labReview an existing architecture for reliability, observability and technology value; propose an investment roadmap.
Portfolio evidenceWell-architected findings, unit-cost model and governance roadmap.
AssessmentExecutive architecture and FinOps review.
M072 weeks · 12 live hours
Architecture interviews and case studies
Architect Arena: lead the discussion rather than racing to draw boxes.
- Requirement discovery under time pressure
- System-design interview structure
- Architecture storytelling
- Buy/build and migration decisions
Guided labComplete multiple architecture cases and receive panel feedback on reasoning and communication.
Portfolio evidenceCase portfolio, whiteboards, ADRs and improvement journal.
AssessmentTimed architecture interview circuit.
M081 week · 6 live hours
Architecture review-board capstone
Boardroom Defence: persuade business and engineering stakeholders using explicit evidence and trade-offs.
- Business and technical context
- Target architecture and alternatives
- Security, reliability and data
- Delivery/migration roadmap
Guided labProduce and defend a complete architecture for a SaaS, AI, data or enterprise-modernisation scenario.
Portfolio evidenceArchitecture dossier, diagrams, ADRs, threat model, cost model and roadmap.
AssessmentFormal Architecture Review Board with adversarial questions.
The week feels different here
A repeatable rhythm from concept to evidence
Weekly rhythm
- 1Concept sprint and visual roadmap
- 2Guided implementation lab
- 3Independent build challenge
- 4Debug, review and production-pattern clinic
- 5Skill check, demo and learning reflection
Learner experience
CohortAI Skill Passport with milestone badges
Build-first weekly checkpoints rather than lecture-only completion
Peer demo and code/design review rituals
Mentor office hours and all-day practice-lab access
Capstone Demo Day with a business narrative, technical walkthrough and interview-style defence
Responsible AI-assisted learning policy: explain, verify and own every submitted artifact
Interview-ready proof
What you will be able to show—not merely claim
These are tangible outputs you can demonstrate, explain, and defend through a technical walkthrough, business narrative, or interview conversation.
Architecture decision record portfolio
Scalability and resilience case study
Cloud landing-zone/workload design
Cost and reliability optimisation review
Architecture Review Board capstone
Transparent evaluation
How your progress is assessed
Completion standard
Minimum 70% overall, mandatory capstone pass, at least 80% lab submissions and versioned portfolio evidence.
CohortAI Industry Edge Lab
Your published curriculum is the foundation. The Industry Edge is what keeps it moving forward.
The Architecture Edge Board explores platform engineering, AI-agent systems, value-based FinOps and modern distributed-system trade-offs through review-board scenarios.
Your counselling preview connects relevant capability categories to your target role. The complete release-governed lab sequence becomes part of the enrolled learning plan.Version-controlled learning promise
SOLUTION-ARCHITECT@1.1.0
Released 24 July 2026 under catalog CAT-2026.09.1. This page presents the approved curriculum, learner outcomes, duration, and public fee for informed comparison.
Straight answers
Frequently asked questions
Who is the Solution Architect program designed for?
Experienced developers, technical leads, DevOps/cloud engineers and aspiring architects. Not positioned as a zero-to-job fresher shortcut.
What prerequisites do I need?
Recommended 3+ years of software, cloud, infrastructure or data experience, or completion of an advanced CohortAI engineering track.
What is included in the public curriculum?
The public curriculum includes the recognized stack, all 8 module themes, guided labs, portfolio artifacts, assessment model, duration, and public fees. The Industry Edge Preview explains how advanced capability categories extend this foundation for your target role.
Where do counselling and enrollment happen?
CohortAI supports public discovery and program comparison. Registration, consent, counselling follow-up, application updates, and enrollment are managed securely in BharatCampus ONE.