Introduction

AI Agent Design & Development training course develops practical capability to design, build, integrate and evaluate intelligent AI agents for enterprise applications. Participants learn how language models, tools, memory, retrieval and orchestration combine to execute defined tasks and multi-step workflows. The emphasis is on translating application requirements into reliable agent architectures with clear operational boundaries.

The course progresses from agent architecture and tool integration to knowledge retrieval, multi-agent coordination, security, evaluation and deployment. Participants examine structured outputs, context management, prompt injection, human approval, failure recovery, monitoring and execution traceability. They also develop practical approaches for improving agent reliability, scalability and maintainability across enterprise environments.

Key focus areas of this AI Agent Design & Development training course include:

Key Learning Outcomes

At the end of this AI Agent Design & Development training course, participants will be able to:

Training Methodology

This training course combines expert-led technical instruction, architecture-design activities, guided development exercises, structured problem-solving tasks and applied technical scenarios. Participants examine agent components, workflow logic, tool integration, context management, evaluation and security while developing practical approaches to building reliable and maintainable AI agent applications.

AI Agent Design & Development

Who Should Attend?

This AI Agent Design & Development training course is designed for:

  • AI Engineers
  • AI Application Developers
  • Machine Learning Engineers
  • Generative AI Developers
  • LLM Application Engineers
  • AI Solutions Architects
  • AI Integration Engineers
  • Intelligent Automation Developers

Course Outline

Day 1

AI Agent Fundamentals and Architecture Design

  • Understanding AI agents and agentic system capabilities
  • Exploring large language models and agent reasoning
  • Comparing agent architectures and execution approaches
  • Understanding agent components, tools and orchestration
  • Defining agent objectives, tasks and operational boundaries
  • Designing AI agent architectures and execution workflows
Day 2

Developing AI Agents and Tool Integration

  • Understanding AI agent development frameworks and SDKs
  • Configuring language models and agent instructions
  • Implementing tool calling and structured responses
  • Integrating external APIs and application functions
  • Managing execution states, context and error handling
  • Building and debugging single-agent applications
Day 3

Agent Memory, Knowledge Integration and Multi-Agent Systems

  • Designing retrieval-augmented generation workflows
  • Connecting agents to documents and knowledge repositories
  • Implementing short-term context and persistent memory
  • Managing knowledge retrieval and context relevance
  • Designing multi-agent coordination and task delegation
  • Developing orchestrated workflows for complex tasks
Day 4

AI Agent Testing, Security and Performance Evaluation

  • Establishing agent evaluation criteria and test scenarios
  • Assessing task completion, accuracy and tool reliability
  • Identifying prompt injection and agent security vulnerabilities
  • Implementing access controls and human approval mechanisms
  • Managing execution failures, timeouts and recovery procedures
  • Optimising agent performance, cost and response efficiency
Day 5

AI Agent Deployment and Lifecycle Management

  • Preparing AI agent applications for deployment
  • Integrating agents with enterprise systems and workflows
  • Establishing monitoring, logging and execution traceability
  • Managing agent versions, updates and operational changes
  • Evaluating scalability, reliability and deployment risks
  • Developing an AI agent deployment and improvement roadmap

Ready to Take the Next Step?

Reserve your slot today and start your learning journey with us.

Got a Question?

Reach out to us anytime — we're here to help and guide you.

Related Courses

FAQs

The course helps technical professionals develop the capability to design and implement AI agents that can perform defined tasks, access approved tools and information, and execute multi-step workflows. It covers the complete development lifecycle from architecture design through testing, security, deployment and monitoring.

Participants examine language models, instructions, tools, APIs, retrieval systems, context, memory, task planning and orchestration. The course also considers how these components interact to support reliable agent execution.

The course begins with single-agent architecture and execution before progressing to multi-agent coordination, task delegation and orchestrated workflows. Participants examine when additional agents may be appropriate for more complex application requirements.

Participants examine retrieval-augmented generation, document and knowledge-repository integration, short-term context and persistent memory. The course also considers context relevance and how information should be supplied to agents for reliable task execution.

The course covers prompt injection, excessive permissions, unauthorised tool execution, access-control weaknesses and operational failures. Participants examine safeguards such as restricted permissions, human approval mechanisms, monitoring and controlled execution boundaries.

The AI Agent Design & Development course examines task-completion criteria, output accuracy, tool reliability, failure handling and structured test scenarios. Participants also consider performance, cost and response efficiency when evaluating agent behaviour.

Participants examine enterprise integration, monitoring, logging, execution traceability, version management, updates, scalability and operational risk. These areas help establish stronger lifecycle management after an agent moves beyond initial development.

GRC Academy training courses are delivered in leading international business destinations, including London and Dubai. Sessions are hosted in carefully selected four- and five-star business hotels with professional meeting facilities that support focused learning, meaningful interaction, comfort and confidentiality.

GRC Academy develops customised in-house training courses that address each organisation’s strategic priorities, operational environment, and workforce capability requirements. Our team works closely with clients to tailor the course content, learning outcomes, and practical emphasis.

These tailored courses are designed to strengthen organisational capability, improve team performance, and support measurable and sustainable outcomes. For customised in-house training enquiries, please contact the GRC Academy Customer Service team at [email protected]

Related Category

Find Your Perfect Course in Related Category

Find the Right Professional Training Course

Use our course finder to explore training by capability area, role focus, location, or delivery format.