Agentic AI Systems Design Training Course

Name: Agentic AI Systems Design and Governance Training Course
Availability: InStock

Design tool-using AI agents with governed orchestration, human approval, evaluation, observability, and controlled failure handling.

Agentic AI Systems Design Training Course

At a glance

Duration: 5 days
Format: Classroom
Cities: Istanbul, Frankfurt, Manama, Barcelona, Dubai, Athens and more
Next session: 5 – 9 October 2026, Istanbul
Average fee: 5,800 €

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Agentic AI Systems Design and Governance Training Course

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Overview

Agentic AI Systems Design and Governance Training Course is a five-day advanced course for AI product owners, automation specialists, solution architects, business analysts, and technical leads, who leave with an Agentic AI Solution Blueprint. Participants define agentic AI use-case boundaries, design tool contracts and memory strategies, select orchestration patterns, establish human approval gates, and apply agent evaluation and observability controls. Agile Leaders Training Center delivers training in governed agentic AI systems design.

Who Should Attend

AI product personnel responsible for use-case scope, value, and acceptance criteria
Automation personnel responsible for workflow state, tools, and exception paths
Solution-design personnel responsible for architecture, integration, and permissions
Business-analysis personnel responsible for goals, roles, rules, and process evidence
Technical leaders responsible for evaluation, oversight, security, and operational accountability

The course assumes participants can analyze digital workflows and solution requirements at work, and it leaves out programming bootcamps, vendor configuration, and autonomous deployment without oversight.

Departments and Industries

The course supports functions designing or governing agentic workflows across financial services, healthcare administration, professional services, technology, logistics, and public services.

Artificial intelligence product and solution design
Business process automation and operations
Data, analytics, and digital transformation
Information security and technology risk
Service management and quality assurance

Learning Objectives

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

Prioritize agentic use cases by value, autonomy, and risk
Build tool, memory, context, and permission specifications
Compare workflow and agent orchestration patterns
Analyze state, failure, retry, and recovery behavior
Evaluate agents with task sets, traces, and graders
Apply human oversight, security, and lifecycle controls

Course Agenda

Day 1: Use Cases and Autonomy Boundaries

Agentic Use-Case Suitability Canvas
Workflow-versus-Agent Decision Matrix
Goal, Role, and Success-Criteria Charter
Autonomy Boundary and Consequence Map
Human Decision Rights Register

Day 2: Tools Memory and Context

Agent Tool Contract Specification
Least-Privilege Permission Matrix
Context Source and Retrieval Map
Working and Persistent Memory Strategy
Prompt-Injection Exposure Checklist

Day 3: Orchestration State and Reliability

Sequential, Parallel, and Routing Pattern Comparison
Orchestrator-Worker Responsibility Diagram
Evaluator-Optimizer Feedback Loop
Workflow State and Checkpoint Model
Retry, Timeout, and Compensating-Action Table

Day 4: Evaluation Security and Operations

Agent Task Set and Acceptance Rubric
Trajectory Trace and Tool-Call Review
Operational Observability Signal Map
Agent Security Threat Model
Incident, Escalation, and Controlled-Shutdown Route

Day 5: Agentic Design Practice and Capstone

Suggested Exercise: Challenge an Agentic Use-Case Boundary
Suggested Exercise: Review a Tool Permission and Approval Gate
Suggested Exercise: Diagnose a Failed Agent Trajectory
Suggested Exercise: Test an Incident and Recovery Decision
Capstone Exercise: Agentic AI Solution Blueprint

Practical Exercises

The course uses suggested activities that turn agentic design choices into reviewable solution evidence.

Suggested activity: classify tasks as deterministic workflows, agentic workflows, or unsuitable automation
Suggested activity: specify tools, permissions, context, memory, and mandatory approval points
Suggested activity: compare orchestration patterns against state, latency, and failure constraints
Suggested activity: score a multi-step trajectory and document an operational response

FAQs

Who suits the Agentic AI Systems Design and Governance Training Course, and what does it assume?

The course suits experienced product, automation, architecture, analysis, and technical personnel who can examine workflow requirements and need to design governed agents without building an application in code.

How does agentic AI systems design training differ from generative AI fundamentals training?

Agentic AI systems design training focuses on multi-step goals, tool actions, memory, workflow state, orchestration, evaluation, and operational controls rather than prompt-response concepts alone.

When should an agentic AI workflow require human approval?

Human approval should be mandatory when an action has material, irreversible, sensitive, or uncertain consequences, with the workflow preserving state and evidence so review can occur before execution continues.

How are agentic AI systems evaluated?

Agentic AI systems are evaluated with representative task sets, environment state, tool-call traces, outcome checks, behavioral graders, failure cases, and repeated tests that reveal variation across multi-step trajectories.

What security controls matter in agentic AI systems design?

Relevant controls limit tool permissions and data access, separate trusted instructions from untrusted content, validate actions, protect credentials, record traces, require approvals, detect abnormal behavior, and support suspension or controlled shutdown.

Conclusion

Participants take back an Agentic AI Solution Blueprint that connects business scope with architecture, tools, memory, state, permissions, evaluation, and oversight. It makes agentic design decisions reviewable before implementation or procurement. The blueprint supports clearer approvals, safer failure handling, operational monitoring, incident escalation, and controlled lifecycle change.

credits: 5 credit per day

Course Mode: full-time

Provider: Agile Leaders Training Center

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Showing 61-76 of 76 events

Location	Dates	Duration	Mode	Price
Istanbul	Week 29, 2027 19 – 23 July 2027	5 Days	Onsite	€4,500
Lisbon	Week 29, 2027 19 – 23 July 2027	5 Days	Onsite	€5,700
Zanzibar	Week 29, 2027 25 – 29 July 2027	5 Days	Onsite	€5,500
Abu Dhabi	Week 30, 2027 26 – 30 July 2027	5 Days	Onsite	€4,700
Johannesburg	Week 30, 2027 1 – 5 August 2027	5 Days	Onsite	€4,500
Seoul	Week 31, 2027 2 – 6 August 2027	5 Days	Onsite	€10,000
Zoom	Week 32, 2027 9 – 13 August 2027	5 Days	Online	€1,500
San Diego	Week 33, 2027 16 – 20 August 2027	5 Days	Onsite	€14,000
Paris	Week 34, 2027 23 – 27 August 2027	5 Days	Onsite	€5,700
Amman	Week 34, 2027 29 August – 2 September 2027	5 Days	Onsite	€4,100
London	Week 36, 2027 6 – 10 September 2027	5 Days	Onsite	€5,700
Amsterdam	Week 37, 2027 13 – 17 September 2027	5 Days	Onsite	€5,700
Madrid	Week 38, 2027 20 – 24 September 2027	5 Days	Onsite	€5,700
Bangkok	Week 38, 2027 26 – 30 September 2027	5 Days	Onsite	€6,000
Cairo	Week 39, 2027 27 September – 1 October 2027	5 Days	Onsite	€4,100
Trabzon	Week 39, 2027 3 – 7 October 2027	5 Days	Onsite	€6,800

Frequently asked questions

What does this course cover?

OverviewAgentic AI Systems Design and Governance Training Course is a five-day advanced course for AI product owners, automation specialists, solution architects, business analysts, and technical leads, who leave with an Agentic AI Solution Blueprint. Participants define agentic AI use-case boundaries, design tool contracts and memory strategies, select o…

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.

Agentic AI Systems Design Training Course