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

Este treinamento ao vivo conduzido por instrutor em Brasil (no local ou remoto) é destinado a profissionais, pesquisadores e desenvolvedores de IA de nível avançado que desejam dominar os últimos avanços em Edge AI, otimizar seus modelos de IA para implantação de borda e explorar aplicativos especializados em vários setores.

No final deste treinamento, os participantes serão capazes de:

• Explore técnicas avançadas no desenvolvimento e otimização do modelo Edge AI.
• Implementar estratégias de ponta para implantar modelos de IA em dispositivos de borda.
• Utilize ferramentas e estruturas especializadas para aplicativos avançados de Edge AI.
• Otimizar o desempenho e a eficiência das soluções de IA do Edge.
• Explorar casos de uso inovadores e tendências emergentes na IA de borda.
• Abordar considerações éticas e de segurança avançadas em implantações de Edge AI.

Este treinamento ao vivo conduzido por instrutor em Brasil (no local ou remoto) é destinado a desenvolvedores de nível intermediário, cientistas de dados e entusiastas de tecnologia que desejam obter habilidades práticas na implantação de modelos de IA em dispositivos de ponta para vários aplicativos.

No final deste treinamento, os participantes serão capazes de:

• Entenda os princípios da Edge AI e seus benefícios.
• Configure e configure o ambiente de computação de borda.
• Desenvolver, treinar e otimizar modelos de IA para implantação de borda.
• Implementar soluções práticas de IA em dispositivos de borda.
• Avaliar e melhorar o desempenho de modelos implantados na borda.
• Abordar considerações éticas e de segurança em aplicações de IA de ponta.

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.

Este treinamento ao vivo conduzido por instrutor em Brasil (no local ou remoto) é destinado a desenvolvedores de nível intermediário e profissionais de TI que desejam obter uma compreensão abrangente do Edge AI do conceito à implementação prática, incluindo configuração e implantação.

No final deste treinamento, os participantes serão capazes de:

• Compreender os conceitos fundamentais do Edge AI.
• Configurar e configurar ambientes Edge AI.
• Desenvolva, treine e otimize os modelos do Edge AI.
• Implantar e gerenciar aplicativos do Edge AI.
• Integrar o Edge AI aos sistemas e fluxos de trabalho existentes.
• Abordar considerações éticas e práticas recomendadas na implementação da Edge AI.

Este treinamento ao vivo conduzido por instrutor em Brasil (no local ou remoto) é destinado a profissionais de saúde de nível intermediário, engenheiros biomédicos e desenvolvedores de IA que desejam aproveitar o Edge AI para soluções inovadoras de saúde.

Ao final deste treinamento, os participantes serão capazes de:

• Compreender o papel e os benefícios da Edge AI na área da saúde.
• Desenvolver e implantar modelos de IA em dispositivos de borda para aplicativos de saúde.
• Implementar soluções Edge AI em dispositivos vestíveis e ferramentas de diagnóstico.
• Conceber e implementar sistemas de monitorização de doentes utilizando a IA de ponta.
• Abordar considerações éticas e regulamentares em aplicações de IA na área da saúde.

Esse treinamento ao vivo conduzido por instrutor em Brasil (no local ou remoto) é destinado a desenvolvedores de nível intermediário, arquitetos de sistemas e profissionais do setor que desejam aproveitar o Edge AI para aprimorar os aplicativos de IoT com recursos inteligentes de processamento e análise de dados.

No final deste treinamento, os participantes serão capazes de:

• Entenda os fundamentos do Edge AI e sua aplicação na IoT.
• Configurar e configurar ambientes Edge AI para dispositivos IoT.
• Desenvolva e implante modelos de IA em dispositivos de borda para aplicativos IoT.
• Implementar o processamento de dados em tempo real e a tomada de decisões em sistemas IoT.
• Integrar a Edge AI com vários protocolos e plataformas IoT.
• Abordar considerações éticas e melhores práticas em 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.

Este treinamento ao vivo conduzido por instrutor em Brasil (no local ou remoto) é destinado a desenvolvedores de nível iniciante e profissionais de TI que desejam entender os fundamentos do Edge AI e seus aplicativos introdutórios.

Ao final deste treinamento, os participantes serão capazes de:

• Compreender os conceitos básicos e a arquitetura do Edge AI.
• Configurar e configurar ambientes Edge AI.
• Desenvolva e implante aplicativos simples do Edge AI.
• Identifique e compreenda os casos de uso e os benefícios do 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.