Get in Touch
 Duration 14 hours

Course Outline

Day 1: 09:00 - 16:00 (7h)

Basics of Artificial Intelligence

  • Defining AI, machine learning, and deep learning
  • Learning paradigms: supervised, unsupervised, and reinforcement
  • Dispelling myths and clarifying AI's role in industry

AI Within Smart Manufacturing Frameworks

  • Characteristics that define a "smart" facility
  • AI's contribution to Industry 4.0 and industrial automation
  • Supporting technologies overview (IoT, edge computing, digital twins)

Critical Manufacturing Applications

  • Predictive maintenance and equipment dependability
  • Quality assurance and detecting anomalies
  • Optimizing processes and enhancing yield

Navigating the Data Lifecycle

  • Capturing and gathering industrial data
  • Data preprocessing and quality metrics
  • Foundational concepts for data-informed decisions

 

Day 2: 09:00 - 16:00 (7h)

Planning and Strategy for AI Projects

  • Pinpointing high-value use cases
  • Assembling the right team and defining success KPIs
  • Addressing common obstacles and mitigation tactics

Case Studies and Sectoral Applications

  • Real-world instances from automotive, food, pharma, and heavy industries
  • Insights from digital transformation experiences
  • Key success drivers and potential pitfalls to steer clear of

Initial Roadmap for Implementation

  • Procedures for launching an AI initiative
  • Technological factors and vendor selection criteria
  • Scalability, ethical considerations, and workforce adaptation

Recap and Future Directions

Requirements

  • Familiarity with fundamental industrial workflows or plant operations
  • Curiosity regarding digital transformation or innovation strategy
  • Openness to discussions on technology adoption

Target Audience

  • Operations managers
  • Plant executives
  • Technical leads

Number of participants


Price per participant

Open Training Courses require 5+ participants.

Testimonials (2)

How to use and explore AI for daily works

Giovani Natalia - PT Astra Honda Motor
Course - AI for Supply Chain and Manufacturing Logistics

All in general

Daniele Donzelli - ITT ITALIA S.r.l.
Course - CANoe for CAN Compact Training

Upcoming Courses

Introduction to AI in Smart Factories and Industrial Automation

2026-11-24 09:30
14 hours
Mirobod
22,597,506 UZS (Online)
24,597,506 UZS (Classroom)

Introduction to AI in Smart Factories and Industrial Automation

2026-12-08 09:30
14 hours
Mirobod
22,597,506 UZS (Online)
24,597,506 UZS (Classroom)

Introduction to AI in Smart Factories and Industrial Automation

2026-12-22 09:30
14 hours
Mirobod
22,597,506 UZS (Online)
24,597,506 UZS (Classroom)

Introduction to AI in Smart Factories and Industrial Automation

2027-01-05 09:30
14 hours
Mirobod
22,597,506 UZS (Online)
24,597,506 UZS (Classroom)

Introduction to AI in Smart Factories and Industrial Automation

2027-01-19 09:30
14 hours
Mirobod
22,597,506 UZS (Online)
24,597,506 UZS (Classroom)

Related Courses

Allen Bradley Ethernet-Based Device Integration and Communication

 21 Hours
This live, instructor-led course on Uzbekistan focuses on integrating Allen Bradley devices via Ethernet. Participants will learn to configure PLCs, HMIs, and routers for efficient communication, while developing practical skills in network topology, data exchange, and troubleshooting within industrial automation frameworks.
Read more...

Allen-Bradley PLC Programming and Applications in Manufacturing

 21 Hours

This instructor-led, live training in Uzbekistan (online or onsite) is aimed at beginner to intermediate-level engineers and technicians who wish to master the fundamentals of AB PLCs and apply them to real-world manufacturing scenarios.

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

  • Understand the role and applications of AB PLCs in the manufacturing industry.
  • Program AB PLCs using RSLogix 5000/Studio 5000.
  • Troubleshoot common issues and perform maintenance on PLC systems.
  • Design and implement a PLC-controlled system for a manufacturing process.
  • Demonstrate proficiency in PLC programming through a practical project.
Read more...

AI-Powered Predictive Maintenance for Industrial Systems

 14 Hours
This instructor-led live course, delivered in Uzbekistan, centers on intelligent predictive maintenance for industrial systems. It explores machine learning applications, data aggregation, and anomaly detection to transition organizations from reactive to proactive strategies, thereby maximizing asset durability and minimizing costs.
Read more...

AI for Process Optimization in Manufacturing Operations

 21 Hours
Discover AI-driven process optimization in manufacturing. This instructor-led live training in Uzbekistan empowers professionals to utilize machine learning for enhancing efficiency and quality. Gain the skills to analyze data, construct predictive models, and deploy hands-on solutions for real-world operational challenges.
Read more...

AI for Quality Control and Assurance in Production Lines

 21 Hours
This live, instructor-guided training in Uzbekistan explores the use of AI and computer vision for quality control on production lines. Learners will acquire the skills to collect and label data, construct machine learning models for defect identification, and implement systems for anomaly detection and yield forecasting.
Read more...

AI for Supply Chain and Manufacturing Logistics

 21 Hours
This instructor-led training on Uzbekistan utilizes AI and machine learning to enhance supply chain logistics. Learners will acquire skills in demand forecasting, inventory management, and warehouse automation. The course emphasizes practical competence through hands-on exercises and live-lab implementations.
Read more...

Hands-on Workshop: Implementing AI Use Cases with Industrial Data

 21 Hours
This practical training in Uzbekistan empowers cross-functional teams to deploy practical AI applications using industrial data. Learners will work together to identify challenges, prepare datasets, construct machine learning models, and develop prototypes that support operational objectives.
Read more...

CANoe for CAN Compact Training

 28 Hours

CANoe is a comprehensive software tool developed by Vector, widely used for the development, testing, and analysis of in-vehicle networks and ECUs, particularly those based on the CAN (Controller Area Network) protocol.

This instructor-led, live training (available online or on-site) is designed for beginner to intermediate-level automotive engineers and testers who aim to use CANoe for simulating, testing, and analysing CAN-based communication systems.

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

  • Install and configure CANoe along with its components
  • Understand the fundamentals of the CAN protocol and message framing
  • Develop simulations for ECUs and CAN networks using CAPL scripting
  • Effectively monitor, analyse, and debug CAN traffic
Read more...

Building Digital Twins with AI and Real-Time Data

 21 Hours
This instructor-led course in Uzbekistan empowers professionals to create and optimize digital twins by harnessing real-time data and AI. Participants will learn to integrate sensor data streams, apply predictive modeling, and develop interactive dashboards through hands-on exercises and live-lab sessions focused on practical application.
Read more...

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

 21 Hours
This live course on Uzbekistan guides embedded and IoT experts in implementing real-time AI for manufacturing. Participants will learn to construct and optimize models for edge hardware, connect sensors to industrial standards, and utilize tools like TensorFlow Lite to ensure fast, reliable, offline-capable decision-making.
Read more...

Industrial Computer Vision with AI: Defect Detection and Visual Inspection

 14 Hours
This instructor-led live training in Uzbekistan delves into industrial computer vision and AI for defect identification. Participants will learn to construct deep learning models, connect real-time inspection pipelines with industrial cameras, and deploy optimized AI systems tailored for production settings.
Read more...

Omron PLC Motion Control with Sysmac Studio

 14 Hours

This instructor-led, live training in Uzbekistan (online or onsite) is designed for intermediate-level automation engineers and control system designers who wish to implement motion control solutions using Omron PLCs.

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

  • Understand the core concepts of motion control and their applications.
  • Configure motion hardware and software in Sysmac Studio.
  • Program and optimize single-axis and multi-axis motion control systems.
  • Implement coordinated motion strategies, including interpolation and synchronization.
Read more...

Omron PLC with Sysmac Studio

 35 Hours

This instructor-led, live training in Uzbekistan (online or onsite) is aimed at automation engineers and control system designers who wish to configure, program, and commission Omron Sysmac systems covering NJ/NX controllers, EtherCAT networking, G5/1S/1SA servo drives, NA Series HMI, and NX safety hardware.

Read more...

Introduction to OMRON PLC programming

 21 Hours
Master the core principles of OMRON PLC programming in Uzbekistan, with a focus on Ladder Diagram logic, hardware configuration, and practical industrial automation applications. This course is perfect for engineers and specialists aiming to gain hands-on proficiency in CX-ONE, memory management, and pneumatic control systems for real-world projects.
Read more...

Smart Robotics in Manufacturing: AI for Perception, Planning, and Control

 21 Hours

In Uzbekistan, this live training empowers advanced engineers with the AI skills necessary for robotic perception, planning, and control. Learners will apply sensor fusion techniques, develop motion algorithms, and deploy learning-based strategies to effectively integrate intelligent systems into smart manufacturing workflows.

Read more...

Related Categories

Industrial Automation
Industrial Automation
AI for Manufacturing
AI for Manufacturing