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The complete learning route

From understanding the work
to owning the delivery.

A forward-deployed engineer turns an organization's difficult workflow into a useful, dependable system—and equips other people to own it. This route connects business understanding, software engineering, AI, human judgment and service operations around one project.

6 connected stages12 capability areasShared core + cloud and industry specializations
Find your starting point Developer, architect or new to software

New to software or AI

Start with the vocabulary and engineering workbench. Build and test a small program before moving into agents. Use the 101 explanations whenever a concept is unfamiliar.

Open the first principles library →

Practising developer

Use a reviewed change to establish your coding baseline. Give equal attention to discovery, evaluation, human decisions and receiving ownership—the parts a coding tool cannot decide for you.

Begin with the client workflow →

Architect or technical lead

Bring your systems experience, then demonstrate an actual implementation and recovery. Treat diagrams as claims to verify, and connect platform choices to workload and operating responsibility.

Inspect the integration proof →

Stage 2 of 6

Connect the systems

Know where facts live, how they move and what happens when interfaces change.

03

Data foundations & trustworthy retrieval

Which source is authoritative, and can you retrieve the right facts safely?

Distinguish operational databases, caches, search indexes and model context. Compare exact lookup, keyword, vector and hybrid retrieval using relevance, freshness and access requirements.

Builds onSoftware engineering & the working environment

What you need to understand

  • Relational modeling, SQL, transactions and indexes
  • Data lineage, quality, versioning and deletion
  • Embeddings, chunking, RAG, hybrid search and reranking
  • Context budgets, caching, citations and retrieval evaluation

Learn it in context

Data, infrastructure & recoveryInspect databases, indexes and retrieval tradeoffs
Agent engineering with LangChain & LangGraphUnderstand retrieval-augmented generation
AI architecture foundationsAssemble a bounded context packet

Course lessons use your existing training access. The practice workbook and curriculum map are free.

Evidence to bring to review

A source-to-answer trace, an access-filtered retrieval comparison and evidence that changed or removed data is handled deliberately.

Then change one condition

A highly relevant document is stale or no longer authorized. Show why relevance alone cannot admit it.

Data, retrieval and recovery field guide
04

Enterprise integration & compatible change

What happens when the other system fails or changes?

Connect independently owned systems through explicit contracts. Handle unknown outcomes, repeated messages and old consumers while preserving business meaning.

Builds onSoftware engineering & the working environmentData foundations & trustworthy retrieval

Illustrative learning artifact

One event. Two transaction boundaries.

Source transactionCase update + outbox eventCommit both or neither

event-42 → delivery may repeat →

Receiver transactionEvent identity + taskDuplicate delivery → existing result

What you need to understand

  • API contracts, versioning and semantic compatibility
  • Events, queues, outbox and idempotent receivers
  • Timeouts, bounded retries and reconciliation
  • Expand–migrate–contract and old/new coexistence

Learn it in context

Enterprise integration & safe changeBuild and defend a recoverable integration

Course lessons use your existing training access. The practice workbook and curriculum map are free.

Evidence to bring to review

Actual local database evidence for rollback, duplicate handling, conflicting identities and old-reader compatibility.

Then change one condition

A response is lost after the receiver commits. Recover without creating another business effect.

Run the two-database integration lab

Depth without losing the thread

Choose a specialization.
Keep the engineering core.

Build depth in one cloud, compare the boundaries in the others, and choose an industry context. Certification study complements the practical work; vendor exams and field acceptance are separate assessments.

Cloud & NVIDIA systemsGoogle Cloud · AWS · Azure · GPUs and private AITools & domain practiceClaude Code · Codex · LangGraph · MCP · healthcare · financial servicesReturn to first principlesPlain-language definitions, visual explanations and technical vocabulary
Why this curriculum is structured this way Research reviewed 2026-10-23

The route combines published FDE practice with cloud architecture, software delivery, reliability, AI risk, accessibility and economic reasoning. The lessons and exercises are original LockedIn Labs material. These references inform the curriculum; they do not imply vendor endorsement or accreditation.

Completion of reading or a synthetic lab does not establish field competence. The final review needs observed work, domain judgment and a receiving owner in the demonstrated environment.