Certified Advanced Manufacturing Engineer (CAME) Certification Program by Tonex
CAME empowers engineers to design and run smart connected and autonomous factories that deliver agility quality and sustainability at scale. The program blends industrial AI robotics digital twins additive methods and IIoT into a cohesive production strategy aligned to business outcomes. You learn to orchestrate data driven decisions across assets lines and enterprises while maintaining compliance and reliability.
Cybersecurity is treated as a first class engineering concern across OT and IT. You will learn how cyber threats propagate through connected equipment and control networks. You will practice designing resilient architectures and response playbooks that keep uptime and safety intact.
Learning Objectives
- Apply industrial AI for predictive quality and throughput improvement
- Architect IIoT data pipelines from edge to cloud with governance and traceability
- Build and manage digital twins for real time performance and lifecycle decisions
- Implement robotics control strategies that enhance flexibility and safety
- Optimize additive manufacturing workflows from design to inspection
- Integrate cybersecurity into production systems to reduce operational risk
- Translate technical capabilities into measurable business value and ROI
Audience
- Manufacturing Engineers and Process Engineers
- Automation and Controls Engineers
- Robotics Engineers and OT Professionals
- Production and Operations Managers
- Quality and Reliability Engineers
- Data and AI Engineers in Industry
- Cybersecurity Professionals
Course Modules
Module 1: Industrial AI
- AI use cases in production
- Data readiness and labeling
- Time series analytics in OT
- Computer vision for quality
- Model deployment at edge
- KPI tracking and drift control
Module 2: Robotics Control
- Kinematics and path planning
- End effector selection
- Safe cobot collaboration
- PLC and SCADA integration
- Vision guided operations
- Changeover and commissioning
Module 3: Digital Twins
- Twin reference architectures
- Asset and process modeling
- Real time data federation
- Health and anomaly insights
- Scenario analysis for capacity
- Lifecycle management strategy
Module 4: Additive Manufacturing
- Design for additive methods
- Material systems and standards
- Build parameter optimization
- Topology and lattice design
- In process monitoring and QA
- Post processing and validation
Module 5: Industrial IoT
- IIoT architectures and edge
- OPC UA MQTT and TSN basics
- Sensor selection and retrofits
- Event streaming and storage
- Data governance and lineage
- Interoperability and APIs
Module 6: Cyber Physical Security
- Threat modeling for OT
- Network segmentation and zones
- Identity and zero trust basics
- Secure remote maintenance
- IEC 62443 guidance overview
- Incident response and recovery
Exam Domains
- Manufacturing Systems Strategy
- OT Data and Analytics Foundations
- Robotics and Motion Control Principles
- Digital Twin Lifecycle Governance
- Additive Production Quality Assurance
- Industrial Cybersecurity Risk Management
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 Certified Advanced Manufacturing Engineer CAME. 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 Certified Advanced Manufacturing Engineer CAME.
Question Types
- Multiple Choice Questions MCQs
- Scenario-based Questions
Passing Criteria
To pass the Certified Advanced Manufacturing Engineer CAME Certification Training exam, candidates must achieve a score of 70% or higher.
Ready to lead the next generation of smart manufacturing Join the CAME Certification Program by Tonex and transform your factory into a connected resilient and data driven operation. Enroll today.