Edge AI in Industrial Automation Training Course

This live, instructor-led training session, available Thailand (online or onsite), is tailored for intermediate-level telecom experts, AI engineers, and IoT specialists aiming to leverage 5G networks to boost Edge AI application performance.

By the conclusion of this program, learners will be able to:

• Understand the core tenets of 5G technology and its effect on Edge AI.
• Deploy AI models optimized for low-latency tasks in 5G contexts.
• Construct real-time decision systems utilizing Edge AI and 5G connectivity.
• Optimize AI workloads for high-efficiency execution on edge hardware.

This instructor-led, live training in Thailand (online or on-site) is designed for advanced AI practitioners, researchers, and developers aiming to master the latest Edge AI developments, optimize models for edge deployment, and explore specialized industry applications.

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

• Investigate advanced methodologies for developing and optimizing Edge AI models.
• Execute state-of-the-art strategies for deploying AI models across edge devices.
• Leverage specialized tools and frameworks tailored for complex Edge AI applications.
• Enhance the performance and efficiency of Edge AI solutions.
• Discover innovative use cases and track emerging trends in the Edge AI landscape.
• Navigate advanced ethical and security complexities in Edge AI deployments.

Offered in Thailand (online or onsite), this live, instructor-led training is tailored for intermediate-level developers, data scientists, and tech enthusiasts seeking to master the practical skills of deploying AI models on edge devices for diverse applications.

Upon completion, participants will be able to:

• Comprehend the fundamental principles of Edge AI and its key benefits.
• Set up and manage the edge computing infrastructure.
• Construct, train, and refine AI models for edge-based deployment.
• Apply practical AI solutions to edge hardware.
• Test and enhance the performance of models running on the edge.
• Manage ethical and security aspects of Edge AI implementations.

This instructor-led, live training in Thailand (online or onsite) is designed for advanced cybersecurity professionals, AI engineers, and IoT developers aiming to implement robust security and resilience strategies for Edge AI systems.

By the end of the session, participants will be capable of:

• Recognizing security risks and vulnerabilities in Edge AI deployments.
• Utilizing encryption and authentication methods for data protection.
• Architecting resilient Edge AI structures to defend against cyber threats.
• Applying secure strategies for AI model deployment in edge environments.

This live, instructor-led training in Thailand (available online or on-site) targets agritech professionals, IoT specialists, and AI engineers ranging from beginner to intermediate levels who are eager to develop and deploy Edge AI solutions for smart farming.

By the conclusion of this course, participants will be able to:

• Comprehend the role of Edge AI in precision agriculture.
• Implement AI-based monitoring systems for crops and livestock.
• Build automated irrigation and environmental sensing solutions.
• Improve agricultural efficiency using real-time Edge AI analytics.

This instructor-led, live training in Thailand (online or onsite) is aimed at intermediate-level robotics engineers, autonomous vehicle developers, and AI researchers who wish to leverage Edge AI for innovative autonomous system solutions.

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

• Understand the role and benefits of Edge AI in autonomous systems.
• Develop and deploy AI models for real-time processing on edge devices.
• Implement Edge AI solutions in autonomous vehicles, drones, and robotics.
• Design and optimize control systems using Edge AI.
• Address ethical and regulatory considerations in autonomous AI applications.

This live, instructor-led training delivered in Thailand (either online or on-site) targets intermediate-level developers and IT professionals seeking to master Edge AI from its foundational concepts through to real-world setup and deployment.

By the end of the program, participants will possess the ability to:

• Comprehend the core principles of Edge AI.
• Configure and set up Edge AI environments.
• Build, train, and optimize Edge AI models.
• Deploy and manage Edge AI applications.
• Integrate Edge AI solutions with existing systems and workflows.
• Apply ethical guidelines and best practices in Edge AI implementation.

This live, instructor-led training, available Thailand (either online or onsite), is tailored for intermediate to advanced computer vision engineers, AI developers, and IoT professionals seeking to implement and optimize computer vision models for real-time processing on edge devices.

By the end of the session, participants will be able to:

• Comprehend the basics of Edge AI and its role in computer vision applications.
• Implement optimized deep learning models on edge hardware for real-time image and video analysis.
• Utilize key frameworks like TensorFlow Lite, OpenVINO, and the NVIDIA Jetson SDK for deployment tasks.
• Optimize AI models to ensure high performance, energy efficiency, and minimal latency during inference.

This live, instructor-led training in Thailand (available online or onsite) is tailored for intermediate finance professionals, fintech developers, and AI specialists seeking to implement Edge AI solutions within financial services.

By the conclusion of this training, participants will possess the ability to:

• Understand the impact and role of Edge AI in financial services.
• Build fraud detection systems utilizing Edge AI technologies.
• Improve customer service experiences via AI-driven solutions.
• Leverage Edge AI for effective risk management and strategic decision-making.
• Deploy and manage Edge AI solutions within financial infrastructure.

This live, instructor-led training, available in Thailand (online or on-site), targets intermediate-level healthcare professionals, biomedical engineers, and AI developers aiming to apply Edge AI to create innovative healthcare solutions.

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

• Understand the role and benefits of Edge AI in healthcare.
• Develop and deploy AI models on edge devices for healthcare applications.
• Implement Edge AI solutions in wearable devices and diagnostic tools.
• Design and deploy patient monitoring systems using Edge AI.
• Address ethical and regulatory considerations in healthcare AI applications.

Delivered as an instructor-led, live training in Thailand (either online or on-site), this course is designed for intermediate-level developers, system architects, and industry professionals aiming to empower their IoT applications with intelligent data processing and analytics through Edge AI.

By the conclusion of this training, participants will have acquired the ability to:

• Comprehend the fundamentals of Edge AI and its role in IoT.
• Set up and configure Edge AI environments for IoT devices.
• Develop and deploy AI models on edge devices for IoT applications.
• Implement real-time data processing and decision-making in IoT systems.
• Integrate Edge AI with various IoT protocols and platforms.
• Address ethical considerations and best practices in Edge AI for IoT.