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Building Agentic AI Systems: From Theory to Practice Training in London and Live Online

Building Agentic AI Systems: From Theory to Practice

Design AI agents that use tools, memory and structured workflows. Build controlled agent applications with evaluation, permissions, human approval and monitoring.

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Intermediate

Be comfortable with Python or a comparable programming language.

5 days to complete
Available online
& in class

Select your preferred method

Course dates
Introduction
Design AI agents that use tools, memory and structured workflows. Build controlled agent applications with evaluation, permissions, human approval and monitoring.


Develop a practical solution using structured examples, evaluation exercises and documented design decisions.
The course covers responsible use, data handling, verification and human review alongside practical techniques. Tools and exercises are selected for the training requirements and available licences. This is professional development training; attendance does not confer a third-party vendor certification.
Flexible Ways to Learn

Study your way with flexible learning options designed to fit around your schedule.

Small Groups

With small groups of students, our instructors can work closely with each student

Flexible Class Schedules

Our class schedules are flexible on weekdays, weekend or evening to suit your schedule.

Experienced Instructors

Our instructors follow a modified and personalised approach to engage students during class

Hi-Tech lab Facilities

Lab arrangements vary by course. Confirm access and equipment requirements before booking.

What you’ll gain

Apply agent architecture to a practical course scenario.

Apply tools and structured interfaces to a practical course scenario.

Apply planning and orchestration to a practical course scenario.

Apply memory and retrieval to a practical course scenario.

Develop skills for your next step
Relevant career pathways
AI Application Developer:

Build and evaluate AI-enabled application features.

Technical Consultant: Assess solution requirements, risks and implementation choices.

Automation Engineer:

Connect AI capabilities with controlled workflows.

Syllabus

Agent architecture
Compare deterministic workflows and agents. Define goals, system instructions, state and stopping conditions.

Design tool schemas, validate arguments and handle failures. Apply least privilege to external actions.

Build bounded multi-step workflows. Compare routing, delegation and explicit workflow control.

Manage conversation state and retrieve relevant information. Consider retention, context limits and source quality.

Add approval gates for consequential actions. Separate suggestions from execution and record decisions.

Create task-based test cases and assess correctness, tool selection, reliability and cost.

Analyse prompt injection, untrusted inputs, logs, traces and incident handling.

Implement a bounded agent, run evaluation cases and document deployment, rollback and operating limits.

FAQs

Who is this course for?
Developers and technical professionals who want practical experience with this topic.

Yes. Programming and API familiarity will help you complete the practical exercises.

Design AI agents that use tools, memory and structured workflows. Build controlled agent applications with evaluation, permissions, human approval and monitoring.

This course provides professional development training. It does not award a third-party vendor certification.

The trainer confirms suitable tools and exercises for the agreed learning needs. Features depend on current product availability and licences.

Confirm account, subscription and lab requirements with London IT Training before booking.

Contact London IT Training to discuss classroom, live online and corporate delivery arrangements.

Contact the training team for current fees, duration, available dates and any additional costs.

Need help choosing the right course?

Talk to one of our advisers about dates, delivery options and certification routes. We’ll call you back within 1 working day.

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