Agentic AI Professional TrainingEnterprise agent engineering

From application engineer to enterprise AI agent and integration engineer

Enterprise AI Agent Engineering and Integration Program

Design role-based AI agents that coordinate work across enterprise systems through governed tools, APIs, workflow state, permissions and human approvals.

View curriculum
Recommended background

Who should take this course

  • Working Python or TypeScript and API development experience
  • Practical Git, SQL, HTTP, authentication and cloud fundamentals
  • Basic familiarity with language-model APIs
  • A non-confidential business workflow or the supplied enterprise integration scenario
Capability outcomes

What you should be able to do

  • Decompose business workflows into clear agent roles, deterministic steps and escalation paths
  • Design single-agent and multi-agent workflows with bounded responsibilities and handoffs
  • Connect agents to CRM, ERP, ticketing, knowledge and data systems through governed tools and APIs
  • Apply workload identity, least privilege, human approvals and auditable action controls
  • Evaluate task success, tool selection, handoff quality, safety, latency, reliability and cost
  • Deploy observable agent workflows with failure recovery, versioning and operating runbooks
Detailed curriculum

Six guided modules from fundamentals to applied work.

Every module combines instructor explanation, guided implementation and a practical milestone. Tools may be adapted to the sponsoring organization’s approved stack.

6Learning modules
3Guided projects
P1

Workflow economics, roles and boundaries

Determine where an agent is justified, which role it performs and where deterministic software or a person must remain in control.

Topics covered

  • Workflow discovery and baseline measurement
  • Role, goal and responsibility modelling
  • Agentic versus deterministic decision criteria
  • Success measures, stop conditions and ownership

Practical milestone

Produce a decision-ready workflow map with agent roles, boundaries, escalation paths and baseline measures.

Tools and platforms

Process map · Model APIs · Cost estimator · Risk register

P2

Tools, APIs and enterprise system integration

Expose safe, testable capabilities that let agents read information and request actions across approved systems.

Topics covered

  • Structured outputs and tool contracts
  • REST, events, queues and webhooks
  • Authentication, authorization and secrets
  • MCP concepts and connector selection

Practical milestone

Connect a role-based agent to a knowledge source and two simulated enterprise systems.

Tools and platforms

Python or TypeScript · REST APIs · OAuth concepts · Event or queue service

P3

Agent orchestration, state and handoffs

Coordinate specialist agents without creating an uncontrolled conversation loop.

Topics covered

  • Single-agent and multi-agent patterns
  • Supervisor, router and specialist roles
  • State, memory and context boundaries
  • Handoffs, retries, timeouts and idempotency

Practical milestone

Implement a supervisor workflow that delegates to two specialist roles and records every handoff.

Tools and platforms

Agent framework · Workflow engine · State store · Structured logs

P4

Identity, permissions and human control

Prevent an agent from turning model uncertainty into an unauthorized business action.

Topics covered

  • Workload identity and least privilege
  • Policy checks and action allowlists
  • Human approval and separation of duties
  • Audit trails, compensation and safe failure

Practical milestone

Add a mandatory approval gate, policy denial path and reversible action to the integrated workflow.

Tools and platforms

Identity provider concepts · Policy engine · Approval service · Audit log

P5

Evaluation, observability and unit economics

Replace a convincing demonstration with repeatable evidence about task completion and operating risk.

Topics covered

  • Scenario sets and workflow-level evaluation
  • Tool choice and handoff accuracy
  • Adversarial, privacy and failure testing
  • Tracing, latency, reliability and cost

Practical milestone

Build an automated test suite and dashboard covering normal, denied and degraded-system scenarios.

Tools and platforms

Evaluation harness · Tracing platform · Model gateway · Cost dashboard

P6

Deployment and agent operations

Release an agent workflow with controlled change, rollback, incident response and accountable ownership.

Topics covered

  • Secure deployment and connector configuration
  • Prompt, model, tool and workflow versioning
  • Canary release, rollback and recovery
  • Runbooks, adoption measures and governance review

Practical milestone

Deploy the capstone, run a system outage drill and defend the production-readiness decision.

Tools and platforms

Containers · Cloud platform · CI/CD · Observability stack

Applied learning

Turn each module into practical project work.

PROJECT 01

Role-based service agent connected to knowledge, ticketing and an approval workflow

PROJECT 02

Multi-agent employee onboarding workflow coordinating HR, identity and task systems

PROJECT 03

Production agent integration capstone with evaluation, audit evidence and cost controls

Course completion

Projects, feedback and final review

Workflow and role design 15% · Tool integration 20% · Multi-agent orchestration 20% · Controls and evaluation 25% · Production defense 20%

Completion depends on working project evidence and a clear explanation of the learner’s decisions. Detailed rubrics, lab access and vendor prerequisites are confirmed before enrolment.

Corporate or individual training

Confirm fit, prerequisites and the next cohort.