Enterprise Agent Developer · LLM & Agentic Workflows · Complete L2 Track

Enterprise Agent Developer L2 Track

Complete senior-level learning path for designing, integrating, governing, observing, delivering, and leading enterprise AI-agent programs across LLM frameworks, RAG pipelines, tool contracts, gateways, MCP interoperability, policy controls, cloud platforms, and client transformation engagements.

StatusComplete Track

Modules9 of 9

DomainEnterprise Agentic AI

RuntimeRead-only course

Overview

This complete track converts an enterprise Senior Consultant Agent Developer role into a progressive engineering and consulting curriculum. It starts with role architecture, moves through agent construction, RAG and tool use, orchestration, interoperability, governance, observability, and cloud delivery, then concludes with a synthetic stakeholder-led delivery capstone.

The track is platform-aware but not framework-first. Learners select models, frameworks, gateways, policies, deployment patterns, and delivery approaches from workflow requirements, data sensitivity, control obligations, latency and cost targets, client operating maturity, and evidence readiness.

Track completion proves that all nine static curriculum modules are implemented. It does not prove production deployment, client delivery, runtime execution, or operational control effectiveness.

Learning Outcomes

Build

Design task-oriented and conversational agents using prompt engineering, function calling, RAG, memory, tools, and structured outputs.

Integrate

Connect agents to enterprise applications through API contracts, gateways, MCP adapters, registries, and controlled local execution patterns.

Govern

Apply OPA/Rego policy decisions, data-residency rules, rate limits, provenance, explainability, bias review, and human approval.

Operate

Design traces, metrics, latency, quality, token and cost telemetry, caching, fallbacks, reliability controls, and service-level objectives.

Deliver

Package immutable artifacts, design supply-chain and CI/CD gates, promote across cloud environments, and define platform-team collaboration boundaries.

Lead

Run synthetic discovery, prioritize use cases, record architecture decisions, plan delivery, communicate with executives, mentor teams, and issue evidence-backed readiness recommendations.

Complete Module Map

1. Enterprise Agent Developer Role ArchitectureImplemented LAB. Map the full role from business discovery through agent engineering, governance, operations, and client delivery. 2. Task-Oriented and Conversational Agent DesignImplemented LAB. Design task contracts, conversational behavior, structured outputs, state, memory, function-call boundaries, refusal paths, loop controls, and deterministic authority. 3. Enterprise RAG and Tool-Use EngineeringImplemented LAB. Design trusted retrieval, source authority, indexing, context assembly, provenance, injection defenses, schema-validated tools, least privilege, approvals, and evaluation evidence. 4. Deterministic Routing and Multi-Agent OrchestrationImplemented LAB. Design deterministic and model-assisted routes, supervisor and specialist contracts, typed handoffs, state ownership, limits, fallbacks, duplicate prevention, and trace evidence. 5. Enterprise Gateway, MCP, Registry, and API ContractsImplemented LAB. Design gateway policy boundaries, MCP trust and capability contracts, persistent registry lifecycle, OpenAPI and JSON Schema interfaces, versioning, compatibility, rate limits, and audit evidence. 6. OPA Policy Enforcement and Responsible AI ControlsImplemented LAB. Design typed policy inputs, OPA/Rego decision points, deterministic enforcement boundaries, approvals, residency, rate limits, provenance, explainability, fairness review, appeal, and audit evidence. 7. OpenTelemetry, SLO, Cost, and Performance EngineeringImplemented LAB. Design end-to-end telemetry, semantic conventions, SLIs, SLOs, error budgets, latency and cost controls, safe caching, bounded retries and fallbacks, load tests, capacity plans, and operational evidence. 8. Cloud Delivery, Containers, CI/CD, and Platform CollaborationImplemented LAB. Design immutable container packaging, supply-chain evidence, CI/CD gates, environment promotion, workload identity, cloud delivery contracts, rollback, paved roads, RACI, and platform-team collaboration. 9. Senior Consultant Enterprise Agent Delivery CapstoneImplemented LAB. Lead a synthetic engagement from discovery and process mapping through architecture, governance, roadmap, executive update, mentorship, and an evidence-backed readiness decision.

Governance Boundary

This is a static educational track. It does not call foundation models, execute agents, route live work, perform multi-agent handoffs, retrieve enterprise data, invoke tools, execute APIs, expose gateways, execute MCP clients or servers, mutate registries, execute OPA or Rego, approve actions, evaluate real people, export telemetry, enforce SLOs or budgets, run alerts or load tests, mutate caches, invoke model fallbacks, autoscale infrastructure, build or run containers, push images, generate or sign live artifacts, scan repositories, execute CI/CD pipelines, provision infrastructure, execute Kubernetes, deploy to AWS Bedrock or Microsoft Foundry, retrieve secrets, contact stakeholders, conduct client workshops, access client or customer data, make production decisions, deliver external executive communications, conduct live demonstrations, deploy cloud resources, or claim production readiness, enforcement, performance, or delivery.

Track implemented = true
Track complete = true
LAB modules implemented = 9 of 9
Runtime = read-only learning
Backend exposure = false
Public backend exposed = false
Live LLM inference = false
Agent runtime execution = false
Multi-agent execution = false
Routing execution = false
Handoff execution = false
RAG retrieval execution = false
Live tool invocation = false
Live API call execution = false
MCP server execution = false
MCP client execution = false
Gateway execution = false
Registry mutation = false
OPA policy execution = false
Rego evaluation execution = false
Policy decision enforcement = false
Human approval execution = false
Responsible AI evaluation execution = false
OpenTelemetry export = false
Trace export = false
Metric export = false
Log export = false
SLO enforcement = false
Alerting execution = false
Cost enforcement = false
Load-test execution = false
Cache mutation = false
Model fallback execution = false
Autoscaling execution = false
Container build execution = false
Container runtime execution = false
Container image push = false
SBOM generation execution = false
Artifact signing execution = false
Vulnerability scan execution = false
Secret scan execution = false
CI pipeline execution = false
CD deployment execution = false
Infrastructure provisioning = false
Kubernetes execution = false
AWS Bedrock deployment = false
Microsoft Foundry deployment = false
Secret retrieval = false
Stakeholder interview execution = false
Client workshop execution = false
Client data access = false
Architecture decision enforcement = false
Project plan execution = false
Executive communication delivery = false
Mentorship execution = false
Live demo execution = false
Cloud deployment = false
Credential handling = false
Customer data access = false
Runtime mutation = false
Production readiness claim = false
Production performance claim = false
Production delivery claim = false
Production enforcement claim = false