Expert-Level Agentic AI Architecture
AB-100: Agentic AI Business Solutions Architect
Design and govern enterprise-grade agentic AI systems using Microsoft services and multi-agent architectures
3 Day Training
Expert Level
Microsoft Certification-Aligned
AED 5,485
Course Overview
This advanced certification focuses on designing scalable, secure, multi-agent AI architecturesusing Microsoft services and agentic systems. Learn to architect autonomous AI solutions that align with enterprise business outcomes and governance requirements.
What You'll Learn:
- • Multi-agent system architecture
- • Agentic AI security frameworks
- • Enterprise integration patterns
- • Autonomous workflow orchestration
- • Business alignment strategies
Who Should Take This:
- • Solution architects
- • Senior AI engineers
- • Enterprise architects
- • AI platform leads
Training Details
Training Format:
- Live Online Training by MCT
- Architecture Design Workshops
- Multi-Agent System Demos
- Enterprise Case Studies
What's Included:
- Architecture Reference Guides
- Security Framework Templates
- Completion Certificate
- Post-training Support
Prerequisites & Getting Started
Recommended Prerequisites:
- • Experience in solution architecture or enterprise AI
- • Understanding of Azure services and Microsoft 365
- • Background in AI/ML systems or platform engineering
- • Prior completion of AI-102 or equivalent experience
Outcome:
Design and govern enterprise-grade agentic AI systems aligned with business outcomes.
Course Curriculum (3 Days)
Module 1: Introduction to Agentic AI
- Understanding agentic AI systems and capabilities
- Evolution from traditional AI to autonomous agents
- Microsoft's Agentic AI ecosystem and services
- Use cases for enterprise agentic systems
Module 2: Designing Multi-Agent Architectures
- Principles of multi-agent system design
- Agent orchestration and coordination patterns
- Communication protocols between agents
- Scalability considerations for agent systems
Module 3: Security & Governance for Agentic AI
- Security frameworks for autonomous AI systems
- Access control and permission models for agents
- Audit trails and explainability requirements
- Regulatory compliance for agentic deployments
Module 4: Enterprise Integration Patterns
- Integrating agents with existing enterprise systems
- API design for agentic workflows
- Data pipelines and agent memory systems
- Hybrid human-agent collaboration patterns
Module 5: Business Alignment & ROI
- Aligning agentic AI with business outcomes
- Measuring success and demonstrating value
- Risk management and mitigation strategies
- Future-proofing agentic architectures
Quick Information
Course Code:AB-100
Duration:3 Days
Level:Expert
Prerequisites:AI Experience
Exam:AB-100
AED 5,485
AED per participant
Upcoming Batches
Oct 24, 2026
Seats filling fastNov 7, 2026
Seats filling fastNov 21, 2026
Dec 5, 2026
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