AutoGen for Enterprise AI Automation Training is an advanced program designed to help organizations build scalable, governed, and collaborative AI automation systems using the AutoGen framework. This course focuses on deploying multi-agent AI solutions for enterprise workflows, cross-functional automation, and decision support while maintaining control, security, and compliance.

• Understand enterprise AI automation using AutoGen
• Design and manage multi-agent enterprise workflows
• Integrate AI agents with business systems
• Automate operational and decision-making processes
• Monitor and optimize enterprise AI performance

• Enterprise automation and AI teams
• Digital transformation leaders
• Solution architects and consultants
• Product managers and innovation teams
• Professionals deploying AI at scale

• Basic understanding of AutoGen or agentic AI concepts
• Familiarity with enterprise workflows or automation initiatives
• No mandatory advanced programming experience required

• Designing enterprise-grade agentic AI architectures
• Automating complex workflows using AutoGen
• Managing multi-agent collaboration at scale
• Implementing governance, security, and compliance controls
• Measuring and optimizing enterprise AI automation impact

By the end of this training, participants will be able to design, deploy, and manage enterprise-scale AI automation solutions using AutoGen. Learners will gain the skills to implement agentic AI systems that are secure, compliant, scalable, and aligned with business objectives.

Enterprise Agentic AI and AutoGen Overview
• Role of agentic AI in enterprise automation
• AutoGen capabilities for large-scale systems
• Identifying enterprise automation opportunities

AutoGen Architecture for Enterprise Use
• Agent roles, responsibilities, and hierarchy
• Conversation-driven workflow orchestration
• Integration with enterprise systems and tools

Designing Enterprise Automation Workflows
• Mapping business processes to AI agents
• Defining objectives, constraints, and success metrics
• Preventing automation risks and failures

Advanced Multi-Agent Orchestration
• Coordinating large agent teams
• Parallel and conditional execution patterns
• Managing dependencies and escalation paths

Human-in-the-Loop Enterprise Automation
• Review, approval, and override mechanisms
• Balancing autonomy with accountability
• Collaboration between business users and AI agents

Enterprise Use Cases and Scenarios
• Operations, reporting, and analytics automation
• Research, compliance, and policy support
• Cross-departmental automation workflows

Governance, Security, and Compliance
• Data privacy and enterprise security considerations
• Auditability and traceability of AI decisions
• Ethical and responsible AI deployment

Monitoring, Optimization, and Scaling
• Performance metrics for AI automation
• Optimization strategies for enterprise workloads
• Scaling AutoGen systems across teams

Capstone Enterprise Automation Project
• Designing a complete enterprise AI automation solution
• Real-world scenario execution using AutoGen
• Participant presentations and expert feedback

• AutoGen fundamentals
• Enterprise AI workflow automation
• Multi-agent orchestration concepts
• Business system integration
• Performance monitoring and optimization

• Participation in hands-on enterprise exercises
• Capstone automation project evaluation
• Knowledge-based assessment

Participants will receive course materials, slides, reference materials, exercises and access to resources for further learning.

Participants who successfully complete the course and evaluation will receive an AcadNXT Certificate of Completion in AutoGen for Enterprise AI Automation Training, recognizing their expertise in enterprise-grade agentic AI automation.