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 €
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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Events for this Course
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Paris 5 – 9 October 2026
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Kuwait 11 – 15 October 2026
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Trabzon 18 – 22 October 2026
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Istanbul 19 – 23 October 2026
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Prague 26 – 30 October 2026
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Muscat 1 – 5 November 2026
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Rome 2 – 6 November 2026
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Manama 8 – 12 November 2026
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Sharm El-Sheikh 16 – 20 November 2026
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Munich 16 – 20 November 2026
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Athens 23 – 27 November 2026
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Zoom 30 November – 4 December 2026
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Chicago 6 – 10 December 2026
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Kuala Lumpur 7 – 11 December 2026
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London 14 – 18 December 2026
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Abu Dhabi 14 – 18 December 2026
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Amsterdam 21 – 25 December 2026
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Milan 21 – 25 December 2026
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Dubai 28 December 2026 – 1 January 2027
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San Diego 28 December 2026 – 1 January 2027
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Bangkok 3 – 7 January 2027
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Milan 11 – 15 January 2027
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Jakarta 18 – 22 January 2027
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Paris 25 – 29 January 2027
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Lisbon 25 – 29 January 2027
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Abu Dhabi 1 – 5 February 2027
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Casablanca 8 – 12 February 2027
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Frankfurt 8 – 12 February 2027
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Madrid 15 – 19 February 2027
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London 1 – 5 March 2027
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Riyadh 7 – 11 March 2027
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Cairo 8 – 12 March 2027
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Tashkent 14 – 18 March 2027
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Bali 21 – 25 March 2027
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Rome 22 – 26 March 2027
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Berlin 29 March – 2 April 2027
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Dubai 5 – 9 April 2027
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Abu Dhabi 5 – 9 April 2027
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Toronto 18 – 22 April 2027
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Amsterdam 19 – 23 April 2027
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Geneva 25 – 29 April 2027
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Istanbul 3 – 7 May 2027
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Singapore 3 – 7 May 2027
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Phuket 9 – 13 May 2027
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Barcelona 10 – 14 May 2027
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New York 17 – 21 May 2027
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Doha 23 – 27 May 2027
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Tbilisi 24 – 28 May 2027
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Accra 30 May – 3 June 2027
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Cairo 31 May – 4 June 2027
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Manama 6 – 10 June 2027
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Cape town 13 – 17 June 2027
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London 14 – 18 June 2027
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Marbella 27 June – 1 July 2027
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Amsterdam 5 – 9 July 2027
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Dubai 12 – 16 July 2027
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Zanzibar 18 – 22 July 2027
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Vienna 26 – 30 July 2027
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Seoul 26 – 30 July 2027
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Madrid 9 – 13 August 2027
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Langkawi 15 – 19 August 2027
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Kuala Lumpur 16 – 20 August 2027
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Baku 23 – 27 August 2027
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Nice 23 – 27 August 2027
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Tokyo 30 August – 3 September 2027
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Abu Dhabi 30 August – 3 September 2027
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Nairobi 5 – 9 September 2027
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London 6 – 10 September 2027
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Porto 13 – 17 September 2027
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Johannesburg 19 – 23 September 2027
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Barcelona 20 – 24 September 2027
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Al Jubail 26 – 30 September 2027
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Dubai 27 September – 1 October 2027
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Vienna 4 – 8 October 2027
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Montreux 4 – 8 October 2027
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Amman 10 – 14 October 2027
| Image | Location | Dates | Duration | Mode | Price | Actions |
|---|---|---|---|---|---|---|
|
|
Bangkok |
Week 53, 2027 3 – 7 January 2027 |
5 Days | Onsite | €6,000 | |
|
|
Milan |
Week 02, 2027 11 – 15 January 2027 |
5 Days | Onsite | €5,700 | |
|
|
Jakarta |
Week 03, 2027 18 – 22 January 2027 |
5 Days | Onsite | €5,700 | |
|
|
Paris |
Week 04, 2027 25 – 29 January 2027 |
5 Days | Onsite | €5,700 | |
|
|
Lisbon |
Week 04, 2027 25 – 29 January 2027 |
5 Days | Onsite | €5,700 | |
|
|
Abu Dhabi |
Week 05, 2027 1 – 5 February 2027 |
5 Days | Onsite | €4,700 | |
|
|
Casablanca |
Week 06, 2027 8 – 12 February 2027 |
5 Days | Onsite | €4,100 | |
|
|
Frankfurt |
Week 06, 2027 8 – 12 February 2027 |
5 Days | Onsite | €5,700 | |
|
|
Madrid |
Week 07, 2027 15 – 19 February 2027 |
5 Days | Onsite | €5,700 | |
|
|
London |
Week 09, 2027 1 – 5 March 2027 |
5 Days | Onsite | €5,700 | |
|
|
Riyadh |
Week 09, 2027 7 – 11 March 2027 |
5 Days | Onsite | €5,700 | |
|
|
Cairo |
Week 10, 2027 8 – 12 March 2027 |
5 Days | Onsite | €4,100 | |
|
|
Tashkent |
Week 10, 2027 14 – 18 March 2027 |
5 Days | Onsite | €4,500 | |
|
|
Bali |
Week 11, 2027 21 – 25 March 2027 |
5 Days | Onsite | €5,700 | |
|
|
Rome |
Week 12, 2027 22 – 26 March 2027 |
5 Days | Onsite | €5,700 | |
|
|
Berlin |
Week 13, 2027 29 March – 2 April 2027 |
5 Days | Onsite | €5,700 | |
|
|
Dubai |
Week 14, 2027 5 – 9 April 2027 |
5 Days | Onsite | €4,500 | |
|
|
Abu Dhabi |
Week 14, 2027 5 – 9 April 2027 |
5 Days | Onsite | €4,700 | |
|
|
Toronto |
Week 15, 2027 18 – 22 April 2027 |
5 Days | Onsite | €12,000 | |
|
|
Amsterdam |
Week 16, 2027 19 – 23 April 2027 |
5 Days | Onsite | €5,700 |
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.
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