AI Agent Architecture and Development Course

Name: AI Agent Architecture and Development Training Course
Availability: InStock

Design tool-using agents with bounded memory, orchestration, evaluation, security controls, observability, and deployment gates.

AI Agent Architecture and Development Course

At a glance

Duration: 5 days
Format: Classroom
Cities: Paris, Kuwait, Trabzon, Istanbul, Prague, Muscat and more
Next session: 5 – 9 October 2026, Paris
Average fee: 5,800 €

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AI Agent Architecture and Development Training Course

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Overview

AI Agent Architecture and Development Training Course is a five-day intermediate course for developers, solution architects, automation engineers, AI product specialists, and technical leads, who leave with a Tested AI Agent Prototype. Participants design agent architecture, goal and task decomposition, tool contracts, retrieval and memory boundaries, orchestration patterns, evaluation, guardrails, security, observability, and deployment readiness. Agile Leaders Training Center delivers training in practical AI agent engineering.

Who Should Attend

Software development personnel responsible for intelligent applications and service integration
Solution architecture personnel responsible for system boundaries, interfaces, and deployment choices
Automation personnel responsible for multi-step workflows, tools, and exception handling
AI product personnel responsible for use cases, acceptance criteria, and release decisions
Technical leadership personnel responsible for engineering quality, security, and delivery readiness

The course assumes participants can read or write application logic and work with service interfaces, and it leaves out introductory AI literacy, model training, and purely executive governance.

Departments and Industries

The course supports technical delivery across software, financial services, health care, retail, logistics, public services, and professional services.

Software engineering and solution architecture
Automation and platform engineering
Data, AI, and product development
Cybersecurity and technology risk
Digital services across finance, health care, retail, logistics, and government

Learning Objectives

By the end of this course, participants will be able to:

Analyze agent use cases and architectural boundaries
Build goal, task, tool, retrieval, and memory components
Apply orchestration and multi-agent interaction patterns
Evaluate trajectories, outputs, failures, and recovery behavior
Use guardrails, access controls, traces, and human review
Build and test a deployment-ready agent prototype

Course Agenda

Day 1: Agent Architecture and Task Design

Agent Use-Case Suitability Matrix
Goal and Success-Criteria Canvas
Agent Loop Architecture Diagram
Task Decomposition and State Model
Human Authority and Escalation Map

Day 2: Tools, Retrieval, and Memory

Tool Contract and Permission Schema
Tool-Selection and Error-Handling Flow
Retrieval Source and Evidence Boundary
Session and Long-Term Memory Design
Context Budget and State Checklist

Day 3: Orchestration and Multi-Agent Patterns

Sequential Orchestration Pattern
Handoff and Routing Decision Table
Coordinator-and-Specialist Agent Topology
Parallel Task and Result Synthesis Flow
Agent Communication Trust Boundary

Day 4: Evaluation, Security, and Operations

Agent Trajectory Evaluation Rubric
Tool-Use Test Case Library
Guardrail and Human-Review Control Map
Trace-Based Observability Dashboard
Deployment Readiness and Rollback Gate

Day 5: Agent Build Practice and Capstone

Suggested Exercise: Model an Agent Task and State Loop
Suggested Exercise: Implement and Test a Tool Contract
Suggested Exercise: Diagnose a Trace and Recovery Path
Suggested Exercise: Evaluate Security and Deployment Gates
Capstone Exercise: Tested AI Agent Prototype

Practical Exercises

The course uses suggested activities that convert an agent use case into a testable technical design and prototype.

Suggested activity: define goals, success criteria, task states, authority limits, and escalation for a service or operations use case
Suggested activity: specify tool inputs, outputs, permissions, errors, retrieval evidence, and memory retention boundaries
Suggested activity: compare sequential, routed, parallel, and coordinator patterns for a multi-step workflow
Suggested activity: run trajectory tests, inspect traces, challenge guardrails, and make a release or rollback decision

FAQs

Who suits the AI Agent Architecture and Development Training Course, and what does it assume?

The course suits developers, architects, automation engineers, AI product specialists, and technical leads. It assumes familiarity with application logic and service interfaces rather than prior expertise in a specific agent framework.

How does AI agent development training differ from introductory generative AI training?

AI agent development training focuses on architecture, tools, state, memory, orchestration, evaluation, security, and deployment, while introductory training focuses on concepts and direct model interaction.

What components belong in an AI agent architecture?

An AI agent architecture typically defines goals, instructions, task state, model interaction, tool interfaces, retrieval, memory, orchestration, guardrails, human review, traces, evaluation, and operational controls.

How should technical teams evaluate AI agents?

Technical teams should test task success, execution trajectories, tool choices, evidence use, failure recovery, security boundaries, latency, cost behavior, human escalation, and consistency across representative cases.

What makes an AI agent ready for deployment?

Deployment readiness requires defined ownership, tested tools and permissions, bounded memory, evaluation evidence, observable traces, guardrails, human escalation, failure recovery, release criteria, monitoring, and rollback procedures.

Conclusion

Participants take back a Tested AI Agent Prototype containing an architecture, tool contracts, memory boundaries, orchestration logic, evaluation cases, guardrails, traces, and deployment gates. It changes how technical teams move from an agent idea to controlled implementation. The prototype supports repeatable testing, security review, operational diagnosis, and evidence-based release decisions.

credits: 5 credit per day

Course Mode: full-time

Provider: Agile Leaders Training Center

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Showing 1-20 of 76 events

Location	Dates	Duration	Mode	Price
Paris	Week 41, 2026 5 – 9 October 2026	5 Days	Onsite	€5,700
Kuwait	Week 41, 2026 11 – 15 October 2026	5 Days	Onsite	€5,500
Trabzon	Week 42, 2026 18 – 22 October 2026	5 Days	Onsite	€6,800
Istanbul	Week 43, 2026 19 – 23 October 2026	5 Days	Onsite	€4,500
Prague	Week 44, 2026 26 – 30 October 2026	5 Days	Onsite	€6,000
Muscat	Week 44, 2026 1 – 5 November 2026	5 Days	Onsite	€5,700
Rome	Week 45, 2026 2 – 6 November 2026	5 Days	Onsite	€5,700
Manama	Week 45, 2026 8 – 12 November 2026	5 Days	Onsite	€4,700
Sharm El-Sheikh	Week 47, 2026 16 – 20 November 2026	5 Days	Onsite	€4,100
Munich	Week 47, 2026 16 – 20 November 2026	5 Days	Onsite	€5,700
Athens	Week 48, 2026 23 – 27 November 2026	5 Days	Onsite	€6,700
Zoom	Week 49, 2026 30 November – 4 December 2026	5 Days	Online	€1,500
Chicago	Week 49, 2026 6 – 10 December 2026	5 Days	Onsite	€12,000
Kuala Lumpur	Week 50, 2026 7 – 11 December 2026	5 Days	Onsite	€5,200
London	Week 51, 2026 14 – 18 December 2026	5 Days	Onsite	€5,700
Abu Dhabi	Week 51, 2026 14 – 18 December 2026	5 Days	Onsite	€4,700
Amsterdam	Week 52, 2026 21 – 25 December 2026	5 Days	Onsite	€5,700
Milan	Week 52, 2026 21 – 25 December 2026	5 Days	Onsite	€5,700
Dubai	Week 53, 2026 28 December 2026 – 1 January 2027	5 Days	Onsite	€4,500
San Diego	Week 53, 2026 28 December 2026 – 1 January 2027	5 Days	Onsite	€14,000

Frequently asked questions

What does this course cover?

OverviewAI Agent Architecture and Development Training Course is a five-day intermediate course for developers, solution architects, automation engineers, AI product specialists, and technical leads, who leave with a Tested AI Agent Prototype. Participants design agent architecture, goal and task decomposition, tool contracts, retrieval and memory boundar…

Are training dates available?

Yes. Available dates and destinations are listed in the course dates section on this page.

How can I register?

Choose an available date on this page and complete the registration form, or send a programme enquiry.

Can I download the course brochure?

Yes. Use the brochure download link provided on this page.

AI Agent Architecture and Development Course