Certified Microgrid Design and AI Control Specialist (CMDACS) Certification Program by Tonex
The Certified Microgrid Design and AI Control Specialist (CMDACS) Certification Program by Tonex prepares professionals to design resilient, high-availability microgrids purpose-built for modern data centers.
The program covers microgrid architectures, renewable integration, energy storage, power electronics, and intelligent control strategies that keep critical loads stable under dynamic grid and facility conditions. Learners explore how solar, battery storage, and backup generation can be orchestrated to support hyperscale and edge sites with tight power-quality and uptime expectations.
AI-driven forecasting and optimization methods are introduced to improve dispatch decisions, manage constraints, and reduce operational cost while maintaining reliability. Cybersecurity considerations are woven throughout because microgrid controllers, gateways, and monitoring systems expand the attack surface and can be targeted to disrupt power delivery. Participants learn to factor cybersecurity into control design, device communications, and operational procedures so availability, safety, and compliance remain intact in mission-critical environments.
Learning Objectives
- Design data center microgrid architectures for high availability
- Integrate solar, storage, and backup generation coherently
- Build hierarchical control strategies for stable operations
- Apply AI methods for dispatch optimization and forecasting
- Improve resilience, reliability, and power-quality performance
- Incorporate cybersecurity controls for secure energy operations
- Align operational objectives with sustainability constraints
Audience
- Data Center Infrastructure Engineers
- Power Systems Engineers
- Renewable Energy Specialists
- Microgrid Designers and Integrators
- Energy Management and Facilities Professionals
- AI Engineers Working on Energy Systems
- Infrastructure Planners and Program Managers
- Cybersecurity Professionals
Program Modules
Module 1: Microgrid Architecture for Critical Facilities
- Microgrid topologies and boundary definitions
- Grid-tied operation modes and constraints
- Islanding concepts and stability goals
- Resource mix sizing principles
- Protection layers and coordination intent
- Standards alignment and documentation practices
Module 2: Data Center Power and Reliability Planning
- Load profiles and growth planning methods
- Redundancy targets and availability budgeting
- Power distribution interfaces and constraints
- Cooling-energy coupling and operational impacts
- Power quality metrics and acceptable tolerances
- Maintenance windows and continuity planning
Module 3: Renewable and Storage System Integration
- Solar interconnection considerations for campuses
- BESS selection and operational constraints
- Hybrid generation coordination approaches
- Inverter behavior and grid-forming concepts
- Intermittency handling and ramp management
- Safety, codes, and commissioning requirements
Module 4: Control and Energy Management Design
- Primary secondary tertiary control concepts
- Energy management objectives and prioritization
- Setpoint coordination across controllers
- Load balancing and curtailment strategies
- Fault detection triggers and safe fallback
- Communications architecture and interoperability
Module 5: AI Driven Dispatch and Optimization
- Forecast features and data quality methods
- Demand prediction for critical load patterns
- Reinforcement learning policy constraints handling
- Predictive control with operational guardrails
- Cost minimization with reliability constraints
- Model monitoring drift and lifecycle updates
Module 6: Operations Grid Services and Sustainability
- Demand response participation and constraints
- Peak shaving and tariff optimization methods
- Energy arbitrage decision boundaries
- Reliability reporting and performance tracking
- Carbon accounting and reduction planning
- Cybersecurity governance for operational technology
Exam Domains
- Microgrid Risk and Safety Engineering
- Data Center Continuity and Power Quality Management
- Energy Market Participation and Tariff Strategy
- AI Governance for Critical Energy Decisioning
- OT Communications and Protocol Assurance
- Cybersecurity Threat Modeling for Microgrids
Course Delivery
The course is delivered through a combination of lectures, interactive discussions, hands-on workshops, and project-based learning, facilitated by experts in the field of the Certified Microgrid Design and AI Control Specialist (CMDACS) Certification Program by Tonex. Participants will have access to online resources, including readings, case studies, and tools for practical exercises.
Assessment and Certification
Participants will be assessed through quizzes, assignments, and a capstone project. Upon successful completion of the course, participants will receive a certificate in the Certified Microgrid Design and AI Control Specialist (CMDACS) Certification Program by Tonex.
Question Types
- Multiple Choice Questions (MCQs)
- Scenario-based Questions
Passing Criteria
To pass the Certified Microgrid Design and AI Control Specialist (CMDACS) Certification Training exam, candidates must achieve a score of 70% or higher.
Strengthen your ability to design and operate data center microgrids that deliver reliability, efficiency, and secure control. Enroll in the CMDACS Certification Program by Tonex to build practical design judgment across power, AI-driven optimization, and cybersecurity-aware operations for mission-critical energy systems.