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FULL 5-MODULE FIELD CURRICULUM

Master the Enterprise Engagement Lifecycle

Every module mirrors a chronological phase of an enterprise FDE deployment, ending in a production capstone evaluated against industry standards.

01

Architectural Scoping & The FDE Mindset

Transforming ambiguous executive demands into concrete system specs and functional data models.

Core Topics Covered:

  • Converting vague executive mandates ("Our routing is slow") into data schemas, system SLAs, and integration boundaries.
  • Conducting technical discovery, mapping legacy API capabilities, and identifying security blockers early.
  • Architecture trade-offs in client environments: Serverless vs Microservices vs Monolithic deployments.
MODULE 1 CAPSTONE PROJECT

Draft a comprehensive Technical Requirements Document (TRD) and system design diagram from a raw 2-page transcript of a chaotic client discovery meeting.

02

Enterprise Data Pipelines & Domain Ontology

Ingesting, cleaning, and modeling multi-source enterprise data under production constraints.

Core Topics Covered:

  • Building resilient ETL/ELT pipelines using Python, SQL, and streaming systems (Kafka/RabbitMQ).
  • Domain & Ontology Modeling: Structuring real-world business entities (inventories, assets, transactions) into graph/relational models.
  • Handling edge cases: Schema drift, rate limits, corrupt records, network dropouts, and batch/stream mismatches.
MODULE 2 CAPSTONE PROJECT

Unify three disjointed datasets (a legacy SQL dump, a real-time REST endpoint, and unstructured CSVs) into a normalized operational database.

03

Applied AI, Agents & Deterministic Orchestration

Building reliable, production-grade applications around non-deterministic AI models.

Core Topics Covered:

  • Advanced RAG Architectures: Hybrid search, reranking strategies, semantic chunking, and vector database management.
  • Agentic Workflows: Multi-agent orchestration, function calling, state management, and human-in-the-loop overrides.
  • Model Evals & Reliability: Measuring precision/recall, latency, token burn rate, hallucination guardrails, and deterministic fallbacks.
MODULE 3 CAPSTONE PROJECT

Build an AI-driven automated support agent integrated with a mock ERP system that validates actions via human approval gates before executing API writes.

04

Enterprise Infrastructure, Security & Air-Gapped Deployment

Deploying stable applications inside high-security, heavily regulated client environments.

Core Topics Covered:

  • Containerization & Orchestration: Docker, Kubernetes, Helm charts, and environment-isolated builds.
  • Enterprise Security: OAuth 2.0, SAML SSO, Role-Based Access Control (RBAC), KMS secret management, and air-gapped network rules.
  • Telemetry & CI/CD: Distributed tracing (OpenTelemetry), log aggregation, and zero-downtime rollback strategies.
MODULE 4 CAPSTONE PROJECT

Containerize and deploy a multi-service application into an isolated local Kubernetes cluster with strict RBAC rules and simulated egress blocks.

05

Customer Execution & The Product Feedback Loop

Technical diplomacy, C-suite communication, and back-porting bespoke code into HQ’s core platform.

Core Topics Covered:

  • Managing client expectations, navigating technical scope creep, and handling mid-project pushback.
  • Executive Demos: Presenting complex engineering trade-offs to non-technical business leaders.
  • The Abstracting Loop: Turning client-specific custom code into generalized, reusable feature modules for the primary engineering roadmap.
MODULE 5 CAPSTONE PROJECT

Conduct a live technical presentation to a panel playing a skeptical client board, while actively handling synthetic live-system failures injected mid-demo.