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 Rabat — 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
7AY Rabat
Zone industrielle , Takadoum, morocco, X5RW+M6 Rabat, M
Unwind and open your mind in this relaxed environment, ideal for immersing yourself in a learning experience. This facility offers a large range of services in a modern and fresh environment.
7AY coliving is a service provided by 7AY so that Digital nomads can benefit from a fully furnished and equipped living units located near the city centre. It's all about working and learning in complete freedom and utter comfort.
Regus - Mahaj Hay Ryad
Immeuble Mahaj Ryad Center , Rabat , morocco, 10100
In a city renowned for its magnificent architecture, it's no surprise that office space for rent in Rabat is also something special. The Regus Ryad Center is a striking modernist structure, part of an incredible business park, in the center of the Hay Ryad commercial district. Inside this ultra-modern building with angular walls, you'll find offices, coworking spaces, and meeting rooms, all equipped with high-speed Wi-Fi and temperature controls.
As you exit the building, you will find yourself on Annakhil Avenue, one of the city's main arteries, which is filled with restaurants, shops, gyms and other amenities. Nearby you will find the Mohammed V theater, but also many other iconic historical monuments inside and outside the city of Rabat. It can be reached easily with the Aswak Assalem Bus Stop, just a 15-minute walk away. In addition, a quick taxi ride to Rabat Agdal station connects you to the rest of the city, as well as to all of Morocco.
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.
Edge AI is the deployment of artificial intelligence models directly on devices and machines at the edge of the network, enabling real-time decision-making with minimal latency.
This instructor-led, live training (online or onsite) is aimed at advanced-level embedded and IoT professionals who wish to deploy AI-powered logic and control systems in manufacturing environments where speed, reliability, and offline operation are critical.
By the end of this training, participants will be able to:
Understand the architecture and benefits of edge AI systems.
Build and optimize AI models for deployment on embedded devices.
Use tools like TensorFlow Lite and OpenVINO for low-latency inference.
Integrate edge intelligence with sensors, actuators, and industrial protocols.
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 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 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.
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.
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.
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.
Online AI for Manufacturing training in Rabat, Intelligent Manufacturing training courses in Rabat, Weekend Industrial AI courses in Rabat, Evening Industrial AI training in Rabat, Industrial AI instructor-led in Rabat, Industrial AI classes in Rabat, Smart Factory AI on-site in Rabat, Evening Smart Factory AI courses in Rabat, AI for Manufacturing trainer in Rabat, AI for Manufacturing one on one training in Rabat, Industrial AI boot camp in Rabat, AI for Manufacturing coaching in Rabat, Smart Factory AI instructor in Rabat, Industrial AI private courses in Rabat, Intelligent Manufacturing instructor-led in Rabat, Online Industrial AI training in Rabat, Weekend Smart Factory AI training in Rabat
