Curso de Edge AI for Manufacturing: Real-Time Intelligence at the Device Level

Esta capacitación en vivo dirigida por un instructor en Guatemala (en línea o en el sitio) está dirigida a profesionales, investigadores y desarrolladores de IA de nivel avanzado que deseen dominar los últimos avances en Edge AI, optimizar sus modelos de IA para la implementación de borde y explorar aplicaciones especializadas en diversas industrias.

Al final de esta capacitación, los participantes serán capaces de:

• Explore técnicas avanzadas en el desarrollo y la optimización de modelos de IA perimetral.
• Implemente estrategias de vanguardia para implementar modelos de IA en dispositivos perimetrales.
• Utilice herramientas y marcos especializados para aplicaciones avanzadas de IA perimetral.
• Optimice el rendimiento y la eficiencia de las soluciones de IA perimetral.
• Explore casos de uso innovadores y tendencias emergentes en Edge AI.
• Aborde las consideraciones éticas y de seguridad avanzadas en las implementaciones de IA perimetral.

Esta capacitación en vivo dirigida por un instructor en Guatemala (en línea o en el sitio) está dirigida a desarrolladores de nivel intermedio, científicos de datos y entusiastas de la tecnología que deseen adquirir habilidades prácticas en la implementación de modelos de IA en dispositivos periféricos para diversas aplicaciones.

Al final de esta capacitación, los participantes serán capaces de:

• Comprenda los principios de Edge AI y sus beneficios.
• Instalar y configurar el entorno de edge computing.
• Desarrolle, entrene y optimice modelos de IA para la implementación perimetral.
• Implemente soluciones prácticas de IA en dispositivos periféricos.
• Evalúe y mejore el rendimiento de los modelos implementados en el perímetro.
• Aborde las consideraciones éticas y de seguridad en las aplicaciones de IA perimetral.

AI-powered predictive maintenance applies machine learning and data analytics to forecast equipment failures and optimize maintenance schedules. It transforms reactive maintenance models into proactive strategies, enabling better uptime, cost reduction, and asset longevity.

This instructor-led, live training (online or onsite) is aimed at intermediate-level professionals who wish to implement AI-driven predictive maintenance solutions in industrial environments.

By the end of this training, participants will be able to:

• Understand how predictive maintenance differs from reactive and preventive maintenance strategies.
• Collect and structure machine data for AI-powered analysis.
• Apply machine learning models to detect anomalies and predict failures.
• Implement end-to-end workflows from sensor data to actionable insights.

Format of the Course

• Interactive lecture and discussion.
• Hands-on exercises and case studies.
• Live demonstration and practical data workflows.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

AI for Process Optimization is the application of machine learning and data analytics to enhance efficiency, quality, and throughput in manufacturing operations.

This instructor-led, live training (online or onsite) is aimed at intermediate-level manufacturing professionals who wish to apply AI techniques to streamline operations, reduce downtime, and support continuous improvement initiatives.

By the end of this training, participants will be able to:

• Understand AI concepts relevant to manufacturing optimization.
• Collect and prepare production data for analysis.
• Apply machine learning models to identify bottlenecks and predict failures.
• Visualize and interpret results to support data-driven decisions.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

AI for Quality Control is the use of computer vision and machine learning techniques to identify defects, anomalies, and deviations in production processes.

This instructor-led, live training (online or onsite) is aimed at beginner-level to intermediate-level quality professionals who wish to apply AI tools to automate inspections and improve product quality in manufacturing environments.

By the end of this training, participants will be able to:

• Understand how AI is applied in industrial quality control.
• Collect and label image or sensor data from production lines.
• Use machine learning and computer vision to detect defects.
• Develop simple AI models for anomaly detection and yield forecasting.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

AI in Supply Chain and Manufacturing Logistics is the application of predictive analytics, machine learning, and automation to optimize inventory, routing, and demand forecasting.

This instructor-led, live training (online or onsite) is aimed at intermediate-level supply chain professionals who wish to apply AI-driven tools to enhance logistics performance, forecast demand accurately, and automate warehouse and transport operations.

By the end of this training, participants will be able to:

• Understand how AI is applied across logistics and supply chain activities.
• Use machine learning models for demand forecasting and inventory control.
• Analyze routes and optimize transport using AI-based techniques.
• Automate decision-making in warehouses and fulfillment processes.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

AI in Smart Factories is the application of artificial intelligence to automate, monitor, and optimize industrial operations in real time.

This instructor-led, live training (online or onsite) is aimed at beginner-level decision-makers and technical leads who wish to gain a strategic and practical introduction to how AI can be leveraged in smart factory environments.

By the end of this training, participants will be able to:

• Understand the core principles of AI and machine learning.
• Identify key AI use cases in manufacturing and automation.
• Explore how AI supports predictive maintenance, quality control, and process optimization.
• Evaluate the steps involved in launching AI-driven initiatives.

Format of the Course

• Interactive lecture and discussion.
• Real-world case studies and group exercises.
• Strategic frameworks and implementation guidance.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

AI Use Case Implementation is a hands-on, project-driven approach to applying machine learning, computer vision, and data analytics to solve real-world industrial challenges using actual or simulated datasets.

This instructor-led, live training (online or onsite) is aimed at intermediate-level cross-functional teams who wish to collaboratively implement AI use cases aligned with their operational goals and gain experience working with industrial data pipelines.

By the end of this training, participants will be able to:

• Select and scope practical AI use cases from operations, quality, or maintenance.
• Work collaboratively across roles to develop machine learning solutions.
• Handle, clean, and analyze diverse industrial datasets.
• Present a working prototype of an AI-enabled solution based on a selected use case.

Format of the Course

• Interactive lecture and discussion.
• Group-based exercises and project work.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

Digital Twins are virtual replicas of physical systems enhanced by real-time data and AI-driven intelligence.

This instructor-led, live training (online or onsite) is aimed at intermediate-level professionals who wish to build, deploy, and optimize digital twin models using real-time data and AI-based insights.

By the end of this training, participants will be able to:

• Understand the architecture and components of digital twins.
• Use simulation tools to model complex systems and environments.
• Integrate real-time data streams into virtual models.
• Apply AI techniques for predictive behavior and anomaly detection.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

Esta capacitación en vivo dirigida por un instructor en Guatemala (en línea o en el sitio) está dirigida a desarrolladores de nivel intermedio y profesionales de TI que deseen obtener una comprensión integral de Edge AI desde el concepto hasta la implementación práctica, incluida la configuración y la implementación.

Al final de esta capacitación, los participantes serán capaces de:

• Comprender los conceptos fundamentales de Edge AI.
• Instale y configure entornos de IA perimetral.
• Desarrolle, entrene y optimice modelos de IA perimetral.
• Implemente y administre aplicaciones de IA perimetral.
• Integre la IA perimetral con los sistemas y flujos de trabajo existentes.
• Aborde las consideraciones éticas y las mejores prácticas en la implementación de Edge AI.

Esta capacitación en vivo dirigida por un instructor en Guatemala (en línea o presencial) está dirigida a profesionales de la salud de nivel intermedio, ingenieros biomédicos y desarrolladores de IA que deseen aprovechar Edge AI para soluciones innovadoras de atención médica.

Al final de esta capacitación, los participantes serán capaces de:

• Comprenda el papel y los beneficios de Edge AI en la atención médica.
• Desarrolle e implemente modelos de IA en dispositivos perimetrales para aplicaciones sanitarias.
• Implemente soluciones de IA perimetral en dispositivos portátiles y herramientas de diagnóstico.
• Diseñe e implemente sistemas de monitorización de pacientes utilizando Edge AI.
• Aborde las consideraciones éticas y normativas en las aplicaciones de IA sanitaria.

Esta capacitación en vivo dirigida por un instructor en Guatemala (en línea o en el sitio) está dirigida a desarrolladores de nivel intermedio, arquitectos de sistemas y profesionales de la industria que deseen aprovechar Edge AI para mejorar las aplicaciones de IoT con capacidades inteligentes de procesamiento y análisis de datos.

Al final de esta capacitación, los participantes serán capaces de:

• Comprenda los fundamentos de Edge AI y su aplicación en IoT.
• Instale y configure entornos de IA perimetral para dispositivos IoT.
• Desarrolle e implemente modelos de IA en dispositivos perimetrales para aplicaciones de IoT.
• Implemente el procesamiento de datos en tiempo real y la toma de decisiones en sistemas IoT.
• Integre la IA perimetral con varios protocolos y plataformas de IoT.
• Aborde las consideraciones éticas y las prácticas recomendadas en Edge AI para IoT.

Industrial computer vision with AI is transforming how manufacturers and QA teams detect surface defects, verify part conformity, and automate visual inspection processes.

This instructor-led, live training (online or onsite) is aimed at intermediate-level to advanced-level QA teams, automation engineers, and developers who wish to design and implement computer vision systems for defect detection and inspection using AI techniques.

By the end of this training, participants will be able to:

• Understand the architecture and components of industrial vision systems.
• Build AI models for visual defect detection using deep learning.
• Integrate real-time inspection pipelines with industrial cameras and devices.
• Deploy and optimize AI-powered inspection systems for production environments.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

Esta capacitación en vivo dirigida por un instructor en Guatemala (en línea o presencial) está dirigida a desarrolladores de nivel principiante y profesionales de TI que deseen comprender los fundamentos de Edge AI y sus aplicaciones introductorias.

Al final de esta formación, los participantes serán capaces de:

• Comprender los conceptos básicos y la arquitectura de Edge AI.
• Instalar y configurar entornos Edge AI.
• Desarrolle e implemente aplicaciones sencillas Edge AI.
• Identifique y comprenda los casos de uso y los beneficios de Edge AI.

Smart Robotics is the integration of artificial intelligence into robotic systems for improved perception, decision-making, and autonomous control.

This instructor-led, live training (online or onsite) is aimed at advanced-level robotics engineers, systems integrators, and automation leads who wish to implement AI-driven perception, planning, and control in smart manufacturing environments.

By the end of this training, participants will be able to:

• Understand and apply AI techniques for robotic perception and sensor fusion.
• Develop motion planning algorithms for collaborative and industrial robots.
• Deploy learning-based control strategies for real-time decision making.
• Integrate intelligent robotic systems into smart factory workflows.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.