An Intensive 5-day Training Course

Agentic AI

Designing, Building & Deploying Autonomous AI Agents

CPE - Continuing Professional Education
Agentic AI
Agentic AI

CLASSROOM DATES

Date Venue Fee CPE Credit
Date: 14-18 Dec 2026
Venue: Dubai
Fee: US $5,950
CPE Credit: 30
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Date: 01-05 Feb 2027
Venue: London
Fee: US $5,950
CPE Credit: 30
Enroll Now
Date: 26-30 Apr 2027
Venue: Dubai
Fee: US $5,950
CPE Credit: 30
Enroll Now
Date: 19-23 Jul 2027
Venue: Amsterdam
Fee: US $5,950
CPE Credit: 30
Enroll Now
Date: 11-15 Oct 2027
Venue: Barcelona
Fee: US $5,950
CPE Credit: 30
Enroll Now
Date: 13-17 Dec 2027
Venue: Dubai
Fee: US $5,950
CPE Credit: 30
Enroll Now

ONLINE DATES

Date Venue Fee
Date: 14-18 Dec 2026
Venue: Live/Online
Fee: US $4,950
Enroll Now
Date: 01-05 Feb 2027
Venue: Live/Online
Fee: US $4,950
Enroll Now
Date: 19-23 Jul 2027
Venue: Live/Online
Fee: US $4,950
Enroll Now
Date: 13-17 Dec 2027
Venue: Live/Online
Fee: US $4,950
Enroll Now

INTRODUCTION

This highly practical EuroMaTech training course will help you understand how Agentic AI systems perceive, reason, plan and act to accomplish complex tasks with a degree of autonomy. Participants will explore the architecture, capabilities and practical applications of AI agents in modern organizations.

The Agentic AI training course seeks to provide you with the knowledge and practical skills required to design, build, evaluate and govern agentic AI solutions. By applying these concepts to realistic business tasks and workflows, you will learn how to move from conversational AI to reliable AI agents that can use tools, collaborate and execute multi-step objectives.

Participants attending the Agentic AI training course will develop the following competencies: 

  • Understanding the principles, architecture and operating patterns of Agentic AI
  • Designing AI agents that can reason, plan, use tools and execute multi-step tasks
  • Orchestrating single-agent and multi-agent workflows for business processes
  • Evaluating agent performance, reliability, security and responsible use 

TRAINING OBJECTIVES

This Agentic AI training course aims to enable participants to achieve the following objectives: 

  • Understand the foundations and key components of agentic AI systems
  • Identify suitable business processes and use cases for AI agents
  • Apply techniques for prompting, planning, memory, tool use and agent orchestration
  • Design practical agent workflows using structured tasks and human-in-the-loop controls
  • Assess agent quality, risks, security, governance and operational readiness
  • Develop a roadmap for implementing Agentic AI within the organization

WHO SHOULD ATTEND?

Business leaders, managers, digital transformation professionals, AI practitioners, process owners, analysts, developers and other professionals seeking to understand and apply Agentic AI in their organizations.

Training methodology

TRAINING METHODOLOGY

The Agentic AI training course will combine presentations with interactive practical exercises, demonstrations, case studies and guided design activities. Delegates will be encouraged to participate actively in applying agentic AI concepts to realistic workplace processes and challenges, with emphasis on practical implementation, evaluation and responsible deployment. 

TRAINING SUMMARY

 

The Agentic AI training course covers the essential concepts and practical techniques required to understand, design and deploy AI agents. Participants will progress from agent fundamentals and architecture to planning, memory, tool use, orchestration, multi-agent collaboration, evaluation, governance and implementation. The programme is designed to help delegates identify high-value opportunities and translate them into practical, controlled and scalable agentic AI solutions.

 

 

TRAINING OUTLINE

Day 1: Foundations of Agentic AI and AI Agent Architecture
  • From generative AI and copilots to autonomous AI agents
  • Core agent components: goals, reasoning, planning, memory and actions
  • Agent perception, decision-making and execution loops
  • Agent architectures, patterns and levels of autonomy
  • Identifying high-value business use cases for Agentic AI
  • Responsible autonomy, human oversight and key implementation considerations
Day 2: Prompting, Planning, Memory and Tool Use
  • Designing effective system instructions and agent objectives
  • Task decomposition, planning and step-by-step execution strategies
  • Short-term and long-term memory for context-aware agents
  • Tool calling, APIs, data sources and external system interaction
  • Grounding agents with enterprise knowledge and retrieval mechanisms
  • Handling uncertainty, errors, retries and human-in-the-loop decisions 
Day 3: Agent Orchestration and Multi-Agent Collaboration
  • Agent workflows, state management and task orchestration
  • Sequential, parallel, conditional and iterative agent patterns
  • Multi-agent systems: roles, coordination and delegation
  • Communication protocols and shared context between agents
  • Designing collaborative agents for research, analysis and automation
  • Managing agent loops, dependencies, failures and escalation paths
Day 4: Building, Evaluating and Securing AI Agents
  • Designing an end-to-end agent solution from business requirement to workflow
  • Agent evaluation: accuracy, task completion, consistency and robustness
  • Testing agents with scenarios, edge cases and adversarial inputs
  • Security, permissions, data privacy and safe tool execution
  • Observability, tracing, monitoring and continuous improvement
  • Human oversight, governance, risk controls and responsible AI practices 
Day 5: Enterprise Deployment and Agentic AI Strategy
  • Selecting and prioritizing enterprise Agentic AI opportunities
  • Integrating agents with business applications, data and workflows
  • Deployment models, scalability, cost management and operational controls
  • Building an Agentic AI implementation roadmap and operating model
  • Measuring business value, adoption, productivity and return on investment
  • Capstone exercise: design an enterprise-ready Agentic AI solution
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    ACCREDITATION

    EuroMaTech is registered with the National Association of State Boards of Accountancy (NASBA) as a sponsor of continuing professional education on the National Registry of CPE Sponsors. State boards of accountancy have final authority on the acceptance of individual courses for CPE credit. Complaints regarding registered sponsors may be submitted to the National Registry of CPE Sponsors through its website: www.NASBARegistry.org.

    FAQ

    We are happy to share the profiles of our expert instructors. To learn more about their qualifications and experience, please contact us info@euromatech.com

    We provide flexible training formats to suit your preferences:

    • Classroom Training: Experience in-person learning with expert instructors. Engage in interactive discussions, hands-on activities, and benefit from face-to-face networking.
    • Online Training: Join live online sessions from anywhere, offering flexibility for those with busy schedules or who prefer remote learning.
    • In-House Training: We can bring our training directly to your organization, allowing for tailored sessions that address your specific needs and objectives.

    Yes, we provide tailored training solutions designed to meet the specific needs of your organization. Customized courses can be delivered either in-person or online, and you can select the dates and duration that best fit your schedule. For more details, please contact us at inhouse@euromatech.com

    Yes, we can assist you with the following:

    • Corporate Discount: If available, we can extend our corporate discount for your stay at selected hotels.
    • Hotel Suggestions: We can provide recommendations for nearby hotels based on your preferences and budget.
      Feel free to explore online booking platforms for the most cost-effective options.
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