Certified Advanced Manufacturing & AI Systems Engineer (CAMAISE) Certification Program by Tonex
CAMAISE equips professionals to architect, deploy, and govern AI, robotics, and digital twin solutions for defense-grade manufacturing and sustainment. Participants learn to fuse additive production, autonomous inspection, and predictive repair with MES and ERP aligned to ISA-95 and ISA-88, driving throughput, quality, and resilience while meeting stringent aerospace and defense requirements.
Cybersecurity is addressed as a first-order engineering constraint that shapes architectures, data flows, and supplier interactions across the production lifecycle. Cybersecurity practices are integrated into model pipelines, device hardening, and OT data governance to reduce attack surface and ensure mission assurance. Cybersecurity risk management is applied to digital twins and analytics so integrity, availability, and confidentiality are preserved from shop floor to cloud.
Learning Objectives
- Apply AI for additive manufacturing process optimization and quality control
- Implement autonomous inspection and predictive repair using multimodal analytics
- Design digital twin lifecycles that synchronize assets, processes, and KPIs
- Integrate MES and ERP with AI services aligned to ISA-95 and ISA-88
- Build governance for trustworthy models, data lineage, and compliance evidence
- Engineer OT to IT interoperability with secure, scalable data pipelines
- Incorporate cybersecurity controls for AI, robotics, and digital twins across the factory stack
Audience
- Manufacturing Engineers and Industrial Engineers
- Robotics and Automation Engineers
- Systems and Reliability Engineers
- Production and Operations Managers
- Quality and Compliance Leaders
- Data and AI Engineers
- Cybersecurity Professionals
Course Modules
Module 1: Smart Manufacturing Foundations
- Defense manufacturing context and constraints
- AI value chains across make and maintain
- Robotics roles in throughput and quality
- OT to IT data architecture fundamentals
- Standards landscape ISA-95 ISA-88 ISO 10303
- Safety, reliability, and compliance mindset
Module 2: Additive and AI Quality
- Additive process parameters and control levers
- In-situ sensing and anomaly detection
- Automated defect classification and disposition
- Material traceability and genealogy data
- Statistical process control with AI assist
- Qualification and certification documentation
Module 3: Autonomous Inspection and Repair
- NDE techniques with computer vision
- Multimodal sensor fusion pipelines
- Remaining useful life estimation basics
- Maintenance strategy and spares planning
- Work instruction automation and assurance
- Field feedback to design and process loops
Module 4: Digital Twin Lifecycle
- Twin taxonomies and fidelity choices
- Model calibration and validation routines
- Synchronization with live operational data
- What-if analysis and change impact views
- Configuration and version management
- Governance for model trust and updates
Module 5: MES ERP and AI
- ISA-95 operations modeling essentials
- Master data management and item structures
- Scheduling and dispatch with AI advisories
- Quality records and nonconformance handling
- API patterns and event streaming integration
- KPIs dashboards and executive reporting
Module 6: Secure and Resilient Operations
- Threats to OT AI and robotics environments
- Hardening endpoints and secure networking
- Data protection keys secrets and access
- Monitoring detection and response playbooks
- Supply chain assurance and vendor risk
- Business continuity and recovery patterns
Exam Domains
- Industrial AI Fundamentals
- OT Data Architecture and Integration
- Quality Engineering and Analytics
- Digital Twin Governance
- Operations Orchestration and KPIs
- Secure Manufacturing Practices
Course Delivery
The course is delivered through a combination of lectures, interactive discussions, case studies, and project-based learning, facilitated by experts in the field of Certified Advanced Manufacturing & AI Systems Engineer CAMAISE Certification Program by Tonex. Participants will have access to online resources, including readings, real-world examples, and tools for structured 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 Certified Advanced Manufacturing & AI Systems Engineer CAMAISE Certification Program by Tonex.
Question Types
- Multiple Choice Questions MCQs
- Scenario-based Questions
Passing Criteria
To pass the Certified Advanced Manufacturing & AI Systems Engineer CAMAISE Certification Program by Tonex Certification Training exam, candidates must achieve a score of 70% or higher.
Ready to lead defense-grade, AI-powered manufacturing Transform your operations with CAMAISE by Tonex and secure your competitive edge today.