Can machines think like engineers? With AI for Manufacturing, they can — spotting defects, forecasting downtime, optimizing yield, and learning from every part, process, and production line.
Our instructor-led courses bring artificial intelligence into the factory floor, from predictive maintenance and quality control to adaptive robotics and digital twins. No fluff — just hands-on experience with the models and frameworks that make smart factories possible.
Train live online through an interactive remote desktop, or join live onsite sessions in Rio de Janeiro — delivered at your plant or a NobleProg training center, with labs tuned to real industrial data and operational challenges.
Whether you're modernizing legacy systems or scaling Industry 4.0 initiatives, this training gives engineers, analysts, and tech leaders the confidence to integrate intelligence at every level of production.
Also referred to as Intelligent Manufacturing, Smart Factory AI, or Industrial AI, this course track transforms AI from a buzzword into a backbone for industrial performance.
NobleProg – Your Local Training Provider
Rio de Janeiro - Candelaria
Edifício Candelaria Corporate, 65 Candelaria Street, 16th Floor, Rio de Janeiro, Brazil, 20091-020
The Candelaria Corporate Center occupies the 16th floor it is located in the city's largest commercial district. It is also close to every kind of business amenity from banking to hotels, and is a short walk from the railway station, as well as being close to the Santos Dumont domestic airport.
Rio de Janeiro-Lagoa Rodrigo de Freitas Humaita
7º andar, Humaitá, 275, Rio de Janeiro, Brazil, 22261-005
Regus is located in the 6th and 7th floor of Lagoa Corporate Building, Humaitá and Lagoa Area, Rio de Janeiro. It is the only corporate building in Lagoa Rodrigo de Freitas area. Next to the Rebouças Tunnel, going north zone and close to Gavea region with easy access to west zone/Barra da Tijuca.
The region is served by several bus lines, as well as being easily accessible by fast-moving roads and large corridors. The building has a unique view from Lagoa Rodrigo de Freitas (Lagoon), and is close to banks, nice restaurants, hotels, botanic garden, bike lanes, acquatic sports and public transportation. It offers:
Fully equipped offices, ready to start working
Coworking area and business lounges fully equipped
Meeting rooms
Regus IT high speed internet access
Administrative support on request
Major transport link with major bus lines
Break-out areas
Concierge services at the reception of the building
Major public transportations from main city hubs
Secure parking with valet service
Rio de Janeiro - O2 Corporate
Av. José Silva de Azevedo Neto, 200 – BL 04 – Room 104 Rio de Janeiro, Rio de Janeiro, Brazil, 22775-056
Position your business within Rio de Janeiro's expansive commercial hub. Connect and collaborate with thriving enterprises within this sophisticated nine-building complex, opening doors to further expansion and development.
Engage in your tasks within a contemporary and elegant workspace, complete with amenities like an in-house coffee bar and an outdoor terrace. Explore various recreational activities nearby, from the bustling Barra Shopping mall to the pristine 17km stretch of sandy beaches.
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.
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.
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