Microsoft Agentic AI Business Solutions Architect Training
Offered to the Jacksonville and Northeast Florida community through UNF Professional and Lifelong Learning in partnership with Applied Technology Academy — live online or in person, taught by ATA's practitioner instructors.
Design and secure agentic AI solutions across the Microsoft stack (D365, Copilot Studio, Azure AI). Master ALM, security, and ROI analysis.
Course Overview
This course is designed to transition accomplished solution architects into AI-first leaders capable of designing and delivering agentic-first business solutions. With a focus on the full Microsoft AI ecosystem (Azure AI, Dynamics 365, Power Platform, and Copilot Studio), you will learn to envision, define, and secure architecture strategies that transform business processes. The course emphasizes scalability, security, responsible AI practices, and achieving measurable ROI for complex, multi-agent orchestrated solutions.
Course Outline
- Module 1: Plan AI-Powered Business Solutions
- Analyze Requirements & Data
- Design Overall AI Strategy & Architecture
- Model Decision & Prompt Strategy
- Evaluate Costs and Benefits (ROI)
- Module 2: Design AI-Powered Business Solutions
- Design Core AI and Agent Flows
- Design Extensibility and Orchestration
- Orchestrate Configuration Across Applications
- Module 3: Deploy AI-Powered Business Solutions
- Manage Testing and Validation
- Design Application Lifecycle Management (ALM)
- Analyze, Monitor, and Tune Solutions
- Design Responsible AI, Security, and Governance
Intended Audience
- Solutions Architect
- Enterprise Architects
- AI/ML Engineers
- Senior Business Strategists
Prerequisites
This certification targets accomplished architects and requires extensive prior knowledge such as:
- Architectural Experience (designing integrated, secure, and scalable enterprise solutions).
- Microsoft Platform Knowledge (Dynamics 365, Power Platform, Azure AI/OpenAI).
- AI/LLM Proficiency (Generative AI concepts, prompt engineering).
- Security & Governance (data residency, responsible AI principles).