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AI Agent Orchestration & Workflow Automation Training Course

Explains how to coordinate multiple AI agents, tools, models, data sources and enterprise applications to automate complex business workflows end to end.

AIGA · AI Agents & Autonomous SystemsAll Levels#2112ClassroomEnglish , Arabic
Duration
5 Days
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Free substitution at any time · 30+ days' notice: full refund minus 10%. Cancellation policy

Course Overview

This advanced training course provides a comprehensive understanding of AI agent orchestration and intelligent workflow automation, focusing on how multiple AI agents, tools, models, data sources, and enterprise applications can be coordinated to execute complex business processes efficiently. The program explores the architecture and design principles required to orchestrate AI agents across multi-step workflows. Participants will examine task decomposition, agent coordination, workflow routing, state and context management, tool execution, decision logic, human oversight, exception handling, and automated process execution. Particular emphasis is placed on designing reliable and scalable AI-powered workflows that integrate large language models, APIs, databases, enterprise applications, automation platforms, and external services. The course also addresses workflow observability, security, governance, performance optimization, cost management, and operational resilience. Through practical exercises, workflow design workshops, case studies, and an integrated final project, participants will develop the ability to design, implement, evaluate, and optimize AI agent orchestration solutions for real-world business and operational processes.

Learning Objectives

  • By the end of the course, participants will be able to:
  • Understand the fundamental principles of AI agent orchestration and workflow automation.
  • Identify business processes suitable for AI-powered workflow automation.
  • Design workflows that coordinate multiple AI agents and specialized tasks.
  • Apply task decomposition and routing strategies for complex processes.
  • Configure agent communication and coordination mechanisms.
  • Manage workflow state, context, memory, and dependencies.
  • Integrate AI agents with APIs, databases, enterprise applications, and external tools.
  • Design decision-making and conditional workflow logic.
  • Implement human-in-the-loop controls and approval mechanisms.
  • Apply error handling, exception management, and recovery strategies.
  • Evaluate workflow performance, reliability, security, and operational efficiency.
  • Develop scalable strategies for deploying and continuously improving AI-powered workflows.

Who Should Attend

This course is designed for AI Engineers, Machine Learning Engineers, Software Engineers, Automation Engineers, Data Scientists, AI Solution Architects, Enterprise Architects, and technology professionals involved in developing intelligent automation solutions. It is also suitable for Digital Transformation Managers, IT Managers, Innovation Leaders, Product Managers, Process Improvement Specialists, Business Analysts, Project Managers, and professionals responsible for workflow automation and AI-enabled business processes. The program is particularly valuable for organizations seeking to automate complex multi-step processes, coordinate AI agents with existing enterprise systems, reduce manual intervention, improve operational efficiency, and establish scalable AI automation capabilities.

Learning Outcomes

  • Upon completion of the course, participants will be able to:
  • Assess business processes for AI agent orchestration opportunities.
  • Design end-to-end workflows involving multiple AI agents and automated tasks.
  • Decompose complex processes into coordinated agent-based activities.
  • Configure workflow routing, sequencing, dependencies, and decision points.
  • Implement context, memory, and state management across workflow stages.
  • Integrate AI agents with APIs, databases, enterprise systems, and external tools.
  • Design human-in-the-loop approval and intervention mechanisms.
  • Implement exception handling, retry logic, fallback mechanisms, and recovery processes.
  • Monitor workflow execution and identify performance bottlenecks.
  • Apply security, governance, access control, and auditability requirements.
  • Optimize workflow performance, scalability, and AI resource consumption.
  • Develop a practical roadmap for deploying and scaling AI agent orchestration solutions.

Course Outline

Course Outline

Day 1

AI Agent Orchestration Fundamentals & Workflow Architecture

  • Fundamentals of AI agents and intelligent automation
  • AI agent orchestration concepts and architectures
  • Single-agent workflows versus multi-agent workflows
  • Business process analysis for AI automation
  • Workflow decomposition and task identification
  • Agent roles and task responsibilities
  • Workflow sequencing and execution logic
  • Context, state, and memory management
  • Agent coordination and dependency management
  • Practical Application: Designing an AI-powered workflow architecture for a real-world business process
Day 2

Workflow Design, Routing & Agent Coordination

  • AI workflow design patterns
  • Task allocation and agent routing
  • Sequential, parallel, and conditional workflows
  • Agent-to-agent communication
  • Decision-making and routing logic
  • Workflow dependencies and synchronization
  • Context propagation between workflow stages
  • Managing long-running workflows
  • Human-in-the-loop workflow design
  • Practical Workshop: Building a multi-agent workflow for a complex multi-step operational process
Day 3

Tools, APIs & Enterprise Workflow Integration

  • AI agent tool and function execution
  • API integration and service orchestration
  • Database integration and data retrieval
  • Knowledge-base and document integration
  • Retrieval-Augmented Generation within workflows
  • Integration with enterprise applications
  • Connecting AI agents with automation platforms
  • Data transformation and information exchange
  • Workflow state and execution management
  • Practical Application: Developing an AI workflow integrated with APIs, databases, enterprise systems, and external tools
Day 4

Workflow Reliability, Monitoring, Security & Governance

  • Workflow execution monitoring
  • Agent and workflow performance evaluation
  • Error handling and exception management
  • Retry, fallback, and recovery strategies
  • Managing unreliable outputs and failed actions
  • Human oversight and escalation mechanisms
  • Security and access control
  • Data privacy and governance
  • Logging, tracing, observability, and auditability
  • Practical Workshop: Designing a reliability, monitoring, security, and governance framework for an AI-powered workflow
Day 5

Production Deployment, Optimization & Automation Strategy

  • Production architecture for AI agent workflows
  • Workflow deployment and lifecycle management
  • Scalability and workload management
  • Performance optimization
  • AI resource and cost optimization
  • Workflow observability and continuous improvement
  • Enterprise integration and operational adoption
  • Governance of autonomous workflow execution
  • Measuring business value and automation performance
  • Final Integrated Workshop: Developing an end-to-end AI Agent Orchestration & Workflow Automation roadmap covering workflow architecture, agent coordination, task routing, integrations, human oversight, security, monitoring, deployment, scalability, and continuous improvement.

Upcoming Dates

Selected date

Dubai · 27 – 31 Dec 2026 · Classroom

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CityDatesPrice per ParticipantEarly Bird
DubaiScheduled
27 – 31 Dec 2026€4,700€4,230until 7 Dec
AmmanScheduled
27 – 31 Dec 2026€4,000€3,600until 7 Dec
OnlineScheduled
27 – 31 Dec 2026€2,700€2,430until 7 Dec
MakkahScheduled
28 Dec 2026 – 1 Jan 2027€4,800€4,320until 7 Dec
RomeScheduled
28 Dec 2026 – 1 Jan 2027€7,000€6,300until 7 Dec
CairoScheduled
28 Dec 2026 – 1 Jan 2027€3,800€3,420until 7 Dec
MuscatScheduled
28 Dec 2026 – 1 Jan 2027€6,300€5,670until 7 Dec
LondonScheduled
28 Dec 2026 – 1 Jan 2027€5,800€5,220until 7 Dec
FrankfurtScheduled
28 Dec 2026 – 1 Jan 2027€6,200€5,580until 7 Dec
BarcelonaScheduled
28 Dec 2026 – 1 Jan 2027€6,000€5,400until 7 Dec
Sharm El-SheikhScheduled
28 Dec 2026 – 1 Jan 2027€5,300€4,770until 7 Dec
ManamaScheduled
28 Dec 2026 – 1 Jan 2027€5,300€4,770until 7 Dec
MunichScheduled
28 Dec 2026 – 1 Jan 2027€6,000€5,400until 7 Dec
MadridScheduled
28 Dec 2026 – 1 Jan 2027€6,000€5,400until 7 Dec
TunisiaScheduled
28 Dec 2026 – 1 Jan 2027€4,300€3,870until 7 Dec
LisbonScheduled
28 Dec 2026 – 1 Jan 2027€6,000€5,400until 7 Dec
ParisScheduled
28 Dec 2026 – 1 Jan 2027€6,700€6,030until 7 Dec
CasablancaScheduled
28 Dec 2026 – 1 Jan 2027€4,700€4,230until 7 Dec
AmsterdamScheduled
28 Dec 2026 – 1 Jan 2027€6,000€5,400until 7 Dec
MadinahScheduled
28 Dec 2026 – 1 Jan 2027€4,800€4,320until 7 Dec
RabatScheduled
28 Dec 2026 – 1 Jan 2027€4,700€4,230until 7 Dec
RiyadhScheduled
28 Dec 2026 – 1 Jan 2027€4,800€4,320until 7 Dec
IstanbulScheduled
28 Dec 2026 – 1 Jan 2027€5,300€4,770until 7 Dec
ViennaScheduled
28 Dec 2026 – 1 Jan 2027€6,400€5,760until 7 Dec
BangkokScheduled
28 Dec 2026 – 1 Jan 2027€6,700€6,030until 7 Dec
MarrakeshScheduled
28 Dec 2026 – 1 Jan 2027€4,700€4,230until 7 Dec
Kuala LumpurScheduled
28 Dec 2026 – 1 Jan 2027€4,700€4,230until 7 Dec
DohaScheduled
28 Dec 2026 – 1 Jan 2027€4,700€4,230until 7 Dec
MilanScheduled
28 Dec 2026 – 1 Jan 2027€7,000€6,300until 7 Dec
GenevaScheduled
28 Dec 2026 – 1 Jan 2027€7,300€6,570until 7 Dec

Available in: Istanbul · Dubai · London · Riyadh · Doha · Amsterdam

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