Collaborative Robotics & Natural Interfaces
Collaborative Robotics & Natural Interfaces: train to work with cobots using gesture and voice control in smart factories.
Discover collaborative robotics, AR/VR tools, and natural interfaces for safe, efficient human-machine interaction. Includes practical labs to build your own natural interface for industrial cobots.
Duration: 40 hours — Format: In-person — Bonus: 50% off collaborative robotics kit
Best for: Automation specialists, UX designers, and factory operators.
All courses are fully customizable in duration and focus areas to match your organization’s specific goals and challenges.
Python & Artificial Intelligence (Advanced)
Python & Artificial Intelligence (Advanced): design smart systems and voice-controlled robots using AI and Python.
Take your Python and AI skills to the next level. Learn to collect sensor data, build custom ML models, and control a robotic arm using natural language processing and wearable IoT.
Duration: 60 hours — Format: In-person — Bonus: Tactigon SDK kit required
Best for: Developers, AI specialists, and robotics enthusiasts
All courses are fully customizable in duration and focus areas to match your organization’s specific goals and challenges.
Artificial Intelligence for Industry 5.0
Artificial Intelligence for Industry 5.0 for Industry 5.0: explore the human-machine collaboration shaping the future of industry.
This course examines how AI integrates into Industry 5.0, from cobots to predictive maintenance and ethical automation. Focused on making industry smarter and more human-centric through real use cases and labs.
Duration: 60 hours — Format: In-person
Best for: Industrial engineers, innovation strategists, and decision-makers.
Bonus: Tactigon SDK kit required.
All courses are fully customizable in duration and focus areas to match your organization’s specific goals and challenges.
IoT Sensors & Data Analysis
IoT Sensors & Data Analysis: collect, analyze, and visualize data from IoT devices in industrial settings.
A practical training in IoT sensor technology, data protocols (LoRa, Sigfox, NB-IoT), and cloud analytics using AWS and Tableau. Includes a hands-on project with LoRaWAN kits, vibration analysis, and environmental data collection.
Duration: 40 hours — Format: In-person — Bonus: 50% off IoT kit
Best for: Engineers, plant managers, and data analysts in manufacturing.
All courses are fully customizable in duration and focus areas to match your organization’s specific goals and challenges.
Python & Artificial Intelligence (Intro)
Python & Artificial Intelligence (Intro): start coding intelligent systems with Python and AI libraries.
An introductory course to Python programming focused on AI, data science, and machine learning. Topics include natural language processing, predictive models, and hands-on use of Python ML libraries.
Duration: 40 hours — Format: Online or in-person
Best for: Beginners in AI, developers, and data analysts.
All courses are fully customizable in duration and focus areas to match your organization’s specific goals and challenges.
Agile Project Management (Scrum)
Agile Project Management (Scrum): learn Agile mindset and Scrum framework to lead innovative teams.
This course develops your ability to manage complex innovation projects using Agile and Scrum. From core principles to practical labs and team-based Sprint planning, you'll build a real Agile project with your team.
Duration: 16 hours — Format: In-person, monthly
Best for: Team leaders, developers, and cross-functional teams.
All courses are fully customizable in duration and focus areas to match your organization’s specific goals and challenges.
Advanced Project Management
Advanced Project Management: master complex project execution with practical tools and leadership strategies.
This course offers advanced skills for managing high-impact projects, covering the entire project lifecycle, risk management, team leadership, and organizational culture. A final hands-on lab simulates real-world critical project scenarios.
Duration: 32 hours — Format: In-person
Best for: Project managers, team leaders, and innovation managers.
All courses are fully customizable in duration and focus areas to match your organization’s specific goals and challenges.
How to create Smart Cities with IoT and AI
Next Industries’ course explores how IoT and AI are applied in civil and environmental engineering to monitor movement, analyze data, and prevent structural and environmental risks. Through real-world examples, participants will discover how these technologies support smart cities, industry, and energy sectors.
We will examine the role of IoT sensors in structural health and building management, including smart HVAC, indoor air quality, people counting, and restroom systems.
Topics also include video surveillance, intelligent traffic, smart space use, energy efficiency, waste management, smart agriculture, and power distribution—core elements in building resilient, connected cities.
All courses are fully customizable in duration and focus areas to match your organization’s specific goals and challenges.
How AI innovates Structural Monitoring Systems
This course explores the integration of Internet of Things (IoT) and Artificial Intelligence (AI) in structural monitoring systems within civil and environmental engineering. It focuses on evaluating wireless technologies such as 3G, Wi-fi, LTE CAT-M, Sigfox, and Lo.Ra, and NBIot, explaining their strengths and limitations through real-life examples. Participants will learn how AI enhances data processing to detect structural anomalies, support predictive maintenance, and optimize monitoring strategies for infrastructures like bridges, tunnels, buildings, and slopes.
All courses are fully customizable in duration and focus areas to match your organization’s specific goals and challenges.