Building AI Agents with No-Code & Low-Code Tools
Build the practical capability to develop and assess AI agent prototypes for defined business tasks. This training course strengthens confidence in creating controlled applications, evaluating their reliability and explaining their limitations before decisions are made about wider organisational use.
Prepare yourself for the Building AI Agents with No-Code & Low-Code Tools course
The Building AI Agents with No-Code & Low-Code Tools training course develops the practical skills needed to configure, connect and evaluate an AI agent for a defined business task. Participants explore how visual development platforms support agent creation without building every component through traditional coding. The emphasis is on translating a clear task into appropriate instructions, approved information access and controlled actions, while establishing boundaries that make the agent’s behaviour easier to inspect and assess.
This Excentra training course follows the development of an agent prototype from initial configuration through knowledge connection, application integration and systematic testing. Participants examine how to check whether responses are supported by authorised sources, diagnose execution errors and introduce human approval where actions require oversight. By bringing configuration records, test evidence and known limitations together, participants develop a clearer understanding of what their prototype can demonstrate and what would require further assessment before enterprise deployment.
The highlights of this Building AI Agents with No-Code & Low-Code Tools training course include:
- Configuring agent instructions, task boundaries and structured outputs
- Connecting approved knowledge sources and checking response quality
- Integrating application tools with controlled permissions and actions
- Diagnosing errors through execution traces and structured testing
- Demonstrating a prototype with documented results and limitations
The learning journey
Course Summary Outline
Day 1
Create and Configure an AI Agent
Day 2
Connect the Agent to Approved Knowledge
Day 3
Add Tools and Controlled Actions
Day 4
Debug, Test and Improve Reliability
Day 5
Validate and Demonstrate the Prototype
Is This Course Right for You?
The Building AI Agents with No-Code & Low-Code Tools training course is suitable for professionals whose responsibilities involve business application configuration, workflow automation or digital solution development, including:
- Business Systems Analysts
- Automation Specialists
- Business Applications Analysts
- Digital Solutions Specialists
- Business Process Analysts
- Business Technology Consultants
- Enterprise Applications Specialists
- Digital Transformation Specialists
About this course
- Explore the chosen visual agent-building environment and training sandbox
- Create an agent with a clear purpose, instructions and task boundaries
- Prepare a small, authorised document or knowledge collection
- Configure and validate a knowledge or retrieval connection
- Test evidence-grounded responses and source references where supported
- Identify tools, connectors and supported action types in the platform
- Configure an approved integration using training credentials
- Map inputs, outputs and data exchanged with the connected application
- Inspect execution traces, tool calls and intermediate results
- Build positive, negative and ambiguous-input test cases
- Configure human approvals, fallbacks and error handling
- Integrate agent instructions, knowledge, tools and review points
- Check test-environment access, safe demonstration and version records
- Document configuration, dependencies, known limitations and risks
Want the full outline?
Key Learning Outcomes and Objectives?
The Building AI Agents with No-Code & Low-Code Tools training course develops practical capability in visual AI agent development, controlled integration and prototype evaluation. Participants learn to connect agent behaviour with a defined business task, assess the quality of responses and actions, and document evidence of performance. The emphasis is on observable results, appropriate human oversight and a clear understanding of the prototype’s operational boundaries.
By the end of this training course, participants will be able to:
- Configure an AI agent’s purpose, instructions, inputs, output structure and task boundaries.
- Connect an authorised knowledge source and assess whether responses are supported by available information.
- Integrate a tool or application connector with defined data mappings, permissions and action limits.
- Apply human approvals, fallback responses and exception handling to control agent behaviour.
- Inspect execution traces and use test cases to diagnose errors and evaluate reliability.
- Demonstrate a functioning prototype and explain its configuration, test results, limitations and further deployment requirements.
The Excentra Learning Approach
Participants develop the same AI agent prototype progressively, applying each new capability through guided configuration, testing and review. Instructor demonstrations support practical tasks involving knowledge connections, controlled actions and error diagnosis. Individual or paired exercises provide opportunities to compare expected behaviour with observed results and refine the prototype. The final demonstration brings together configuration notes, test evidence, user guidance and an explanation of the agent’s limitations.
Six capabilities, and how far this course takes each one
Data Intelligence
Intelligent Monitoring
Document Intelligence
Workflow & Agent Design
Responsible Implementation
Business Transformation
Ready to take the next step?
Reserve your place, ask us a question, or arrange private training for your team.
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