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Ly Thai To

Level 5, 41A Ly Thai To Street, Hanoi, Vietnam

The business centre is conveniently located in Sentinel Place on the corner of Ly Thai To and Tran Nguyen Han Streets. It is located within five minutes walk to the Opera House, the Metropole and the Hilton Hanoi Opera and in close proximity to The Ministry of Finance, The Hanoi People's Committee, The State Bank of Vietnam and numerous other commercial properties and foreign banks. Ly Thai To Street is a prominent street which is well known in Hanoi and provides easy of access for any visitors. Key office developments in the vicinity include BIDV Tower, 63 Ly Thai To and the Opera Business Centre and there is high-end shopping malls in the immediate locality.

InterContinental Hanoi Westlake

Leve1 & 2, Number 1A, Nghi Tam, Ha Noi, Vietnam

Located at strategic positions on Floors 1 & 2, No. 1A Nghi Tam Street, in the central Ho Tay Ward, Hanoi, InterContinental Hanoi Westlake Hotel stands as one of the city's premier commercial buildings. This iconic structure sits on a major thoroughfare, offering excellent accessibility and convenient connections to the vibrant cultural and entertainment centers of Hanoi. From this prime location, both residents and tourists can easily access famous landmarks such as the picturesque West Lake and the bustling Hoan Kiem Lake area. With its strategic positioning, the hotel is just a 5- to 10-minute drive from Ga Doi Anh (formerly Ga Chung Cun - Yên Hòa) on Line 2 of the Hanoi Metro. More than just providing luxurious work and living spaces, InterContinental Hanoi Westlake functions as a prestigious commercial center, seamlessly integrating all business and leisure needs within a modern and comfortable environment.

JW Marriott Hanoi

Number 8, Do Duc Duc Street,, Ha Noi, Viet Nam

Located at a prime position on Floor 8, Number 8 Do Duc Duc Street, in the heart of Hoan Kiem Ward, Hanoi, the JW Marriott Hanoi stands as a premier commercial building. This iconic structure sits strategically on a key thoroughfare, offering exceptional accessibility and convenient connections to Hanoi's vibrant cultural and entertainment centers. From this central location, guests can easily access the beautiful Hoan Kiem Lake and the historic Old Quarter with its myriad attractions. The hotel's strategic positioning makes it highly suitable for both business and leisure, providing convenient access to the city's core. More than just elegant accommodation, the JW Marriott Hanoi functions as a prestigious commercial hub, seamlessly integrating sophisticated workspaces, dining, and leisure amenities within a modern and comfortable environment. It is an ideal base for discerning travelers seeking convenience, style, and access to Hanoi's dynamic energy.

Pullman Ha Noi

Level 1 & 2 , Number 40, Cat Linh, Ha Noi, Vietnam

Located at a prime position on Floors 1 & 2, Number 40 Cat Linh Street, Hanoi, Vietnam, the Pullman Hanoi stands as a modern commercial hub. This strategic location places it within the rapidly developing Cat Linh area, offering excellent access to the bustling Central Space and proximity to upcoming infrastructure like the Cat Linh-Hai Ba Trung Metro station (Line 2). From this modern address, guests and professionals find it convenient to connect to the heart of Hanoi. The hotel is well-positioned to reach key landmarks such as Hoan Kiem Lake and West Lake, as well as the historic Old Quarter, all within a relatively short distance. More than just a modern hotel, the Pullman Hanoi functions as a dynamic commercial center, integrating contemporary business facilities and leisure amenities within a stylish and comfortable environment, catering to the needs of today's discerning traveler.

Sofitel Legend Metropole Hanoi

Level 1 & 2 , Number 15, Ngo Quyen, Ha Noi, Vietnam

Located at a prestigious position on Floors 1 & 2, Number 15 Ngo Quyen Street, in Hanoi, Vietnam, the Sofitel Legend Metropole Hanoi stands as an iconic historic landmark and premier commercial building. This magnificent French colonial structure sits on a significant thoroughfare within the vibrant Old Quarter, offering exceptional accessibility and convenient connections to the heart of Hanoi. From this distinguished location, guests and professionals can easily access the beautiful Hoan Kiem Lake and the bustling Old Quarter with its rich history and cultural attractions. The hotel's prestigious positioning makes it an ideal base for both business endeavors and leisure exploration. More than just luxury accommodations, the Sofitel Legend Metropole Hanoi functions as a prestigious commercial and cultural hub, seamlessly integrating timeless charm, sophisticated amenities, and refined services within its historic walls, catering to the discerning traveler and connoisseur.

Toong IPH

3rd Floor, Indochina Plaza, 241 Xuan Thuy street, Cau Giay district, Ha Noi, Vietnam

Located on the 3rd floor of Indochina Plaza, Hanoi, Toong coworking space is one of the key tenants in the whole service complex. We help complete and elevate an ecosystem of living - working - socializing - trading - and relaxing hubs for local entrepreneurs and knowledge workers.

UPGen Keangnam

Level 43, Keangnam Hanoi Landmark Tower, Pham Hung Street, Nam Tu Liem District, Ha Noi, Viet Nam

Inside the tallest building in Hanoi and second tallest in Vietnam, the 72-floor skyscraper Keangnam Hanoi Landmark Tower (Landmark72) is home to one of UPGen’s most impressive spaces. This Grade-A building boasts an incredible view of the city unlike anywhere else in Hanoi. UPGen Keangnam is conveniently located just five minutes’ walk from the metro line.

Explore Our Courses

Federated Learning and Edge AI

 21 Hours

This instructor-led, live training in Hanoi (online or onsite) is aimed at advanced-level AI researchers, data scientists, and security specialists who wish to implement federated learning techniques for training AI models across multiple edge devices while preserving data privacy.

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

  • Understand the principles and benefits of federated learning in Edge AI.
  • Implement federated learning models using TensorFlow Federated and PyTorch.
  • Optimize AI training across distributed edge devices.
  • Address data privacy and security challenges in federated learning.
  • Deploy and monitor federated learning systems in real-world applications.
Read more...

Edge AI for Agriculture: Smart Farming and Precision Monitoring

 21 Hours

This instructor-led, live training in Hanoi (online or onsite) is aimed at beginner-level to intermediate-level agritech professionals, IoT specialists, and AI engineers who wish to develop and deploy Edge AI solutions for smart farming.

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

  • Understand the role of Edge AI in precision agriculture.
  • Implement AI-driven crop and livestock monitoring systems.
  • Develop automated irrigation and environmental sensing solutions.
  • Optimize agricultural efficiency using real-time Edge AI analytics.
Read more...

Building Secure and Resilient Edge AI Systems

 21 Hours

This instructor-led, live training in Hanoi (online or onsite) is aimed at advanced-level cybersecurity professionals, AI engineers, and IoT developers who wish to implement robust security measures and resilience strategies for Edge AI systems.

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

  • Understand security risks and vulnerabilities in Edge AI deployments.
  • Implement encryption and authentication techniques for data protection.
  • Design resilient Edge AI architectures that can withstand cyber threats.
  • Apply secure AI model deployment strategies in edge environments.
Read more...

Edge AI for Retail: Enhancing Customer Experience and Operations

 21 Hours

This instructor-led, live training in Hanoi (online or onsite) is aimed at beginner-level to intermediate-level retail technologists, AI developers, and business analysts who wish to apply Edge AI solutions for smart checkout systems, inventory management, and personalized customer engagement.

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

  • Understand how Edge AI enhances retail operations and customer experience.
  • Implement AI-powered smart checkout and cashier-less payment systems.
  • Optimize inventory management with real-time tracking and analytics.
  • Utilize computer vision and AI for personalized in-store experiences.
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5G and Edge AI: Enabling Ultra-Low Latency Applications

 21 Hours

This instructor-led, live training in Hanoi (online or onsite) is aimed at intermediate-level telecom professionals, AI engineers, and IoT specialists who wish to explore how 5G networks accelerate Edge AI applications.

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

  • Understand the fundamentals of 5G technology and its impact on Edge AI.
  • Deploy AI models optimized for low-latency applications in 5G environments.
  • Implement real-time decision-making systems using Edge AI and 5G connectivity.
  • Optimize AI workloads for efficient performance on edge devices.
Read more...

Fine-Tuning Lightweight Models for Edge AI Deployment

 14 Hours

This instructor-led, live training in Hanoi (online or onsite) is aimed at intermediate-level embedded AI developers and edge computing specialists who wish to fine-tune and optimize lightweight AI models for deployment on resource-constrained devices.

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

  • Select and adapt pre-trained models suitable for edge deployment.
  • Apply quantization, pruning, and other compression techniques to reduce model size and latency.
  • Fine-tune models using transfer learning for task-specific performance.
  • Deploy optimized models on real edge hardware platforms.
Read more...

Edge AI for Computer Vision: Real-Time Image Processing

 21 Hours

This instructor-led, live training in Hanoi (online or onsite) is aimed at intermediate-level to advanced-level computer vision engineers, AI developers, and IoT professionals who wish to implement and optimize computer vision models for real-time processing on edge devices.

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

  • Understand the fundamentals of Edge AI and its applications in computer vision.
  • Deploy optimized deep learning models on edge devices for real-time image and video analysis.
  • Use frameworks like TensorFlow Lite, OpenVINO, and NVIDIA Jetson SDK for model deployment.
  • Optimize AI models for performance, power efficiency, and low-latency inference.
Read more...

TinyML: Running AI on Ultra-Low-Power Edge Devices

 21 Hours

This instructor-led, live training in Hanoi (online or onsite) is aimed at intermediate-level embedded engineers, IoT developers, and AI researchers who wish to implement TinyML techniques for AI-powered applications on energy-efficient hardware.

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

  • Understand the fundamentals of TinyML and edge AI.
  • Deploy lightweight AI models on microcontrollers.
  • Optimize AI inference for low-power consumption.
  • Integrate TinyML with real-world IoT applications.
Read more...

Edge AI and Robotics: Enabling Autonomous Systems

 21 Hours

This instructor-led, live training in Hanoi (online or onsite) is aimed at intermediate-level to advanced-level robotics engineers, AI developers, and automation specialists who wish to implement Edge AI for robotics applications.

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

  • Understand the role of Edge AI in autonomous systems.
  • Deploy AI models on edge devices for real-time robotics.
  • Optimize AI performance for low-latency decision-making.
  • Integrate computer vision and sensor fusion for robotic autonomy.
Read more...

Edge & Lightweight Agents: On-Device Agentic Workloads with Python

 21 Hours

Edge & Lightweight Agents is a practical course focused on deploying agentic AI workloads on resource-constrained devices. Participants learn to build, optimize, and manage lightweight agents capable of local reasoning and inference, improving speed, privacy, and reliability in distributed environments. The course emphasizes performance tuning, low-latency design, and hardware–software integration.

This instructor-led, live training (online or onsite) is aimed at intermediate-level professionals who wish to implement and optimize on-device agentic systems using Python and edge AI frameworks.

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

  • Understand the architecture and challenges of running agentic AI on edge devices.
  • Design lightweight agent loops suitable for constrained environments.
  • Implement local inference using TensorFlow Lite, PyTorch Mobile, and ONNX.
  • Integrate agents with sensors, actuators, and IoT platforms.
  • Optimize performance, energy use, and latency for real-time operation.

Format of the Course

  • Interactive lecture and practical demonstrations.
  • Hands-on development in local or emulated environments.
  • Project-based learning and guided implementation exercises.

Course Customization Options

  • To request a customized training for this course, please contact us to arrange.
Read more...

Low-Power AI: Optimizing Edge AI for Energy-Efficient Devices

 21 Hours

This instructor-led, live training in Hanoi (online or onsite) is aimed at advanced-level AI engineers, embedded developers, and hardware engineers who wish to implement AI models on low-power devices while minimizing energy consumption.

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

  • Understand the challenges of running AI on energy-efficient devices.
  • Optimize neural networks for low-power inference.
  • Utilize quantization, pruning, and model compression techniques.
  • Deploy AI models on edge hardware with minimal power usage.
Read more...

Deploying AI Models on Edge Devices with NVIDIA Jetson

 21 Hours

This instructor-led, live training in Hanoi (online or onsite) is aimed at intermediate-level AI developers, embedded engineers, and robotics engineers who wish to optimize and deploy AI models on NVIDIA Jetson platforms for edge applications.

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

  • Understand the fundamentals of edge AI and NVIDIA Jetson hardware.
  • Optimize AI models for deployment on edge devices.
  • Use TensorRT for accelerating deep learning inference.
  • Deploy AI models using JetPack SDK and ONNX Runtime.
Read more...

Optimizing AI Models for Edge Devices

 14 Hours

This instructor-led, live training in Hanoi (online or onsite) is aimed at intermediate-level AI developers, machine learning engineers, and system architects who wish to optimize AI models for edge deployment.

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

  • Understand the challenges and requirements of deploying AI models on edge devices.
  • Apply model compression techniques to reduce the size and complexity of AI models.
  • Utilize quantization methods to enhance model efficiency on edge hardware.
  • Implement pruning and other optimization techniques to improve model performance.
  • Deploy optimized AI models on various edge devices.
Read more...

Building AI Solutions on the Edge

 14 Hours

This instructor-led, live training in Hanoi (online or onsite) is aimed at intermediate-level developers, data scientists, and tech enthusiasts who wish to gain practical skills in deploying AI models on edge devices for various applications.

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

  • Understand the principles of Edge AI and its benefits.
  • Set up and configure the edge computing environment.
  • Develop, train, and optimize AI models for edge deployment.
  • Implement practical AI solutions on edge devices.
  • Evaluate and improve the performance of edge-deployed models.
  • Address ethical and security considerations in Edge AI applications.
Read more...

Edge AI for Financial Services

 14 Hours

This instructor-led, live training in Hanoi (online or onsite) is aimed at intermediate-level finance professionals, fintech developers, and AI specialists who wish to implement Edge AI solutions in financial services.

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

  • Understand the role of Edge AI in financial services.
  • Implement fraud detection systems using Edge AI.
  • Enhance customer service through AI-driven solutions.
  • Apply Edge AI for risk management and decision-making.
  • Deploy and manage Edge AI solutions in financial environments.
Read more...

Edge AI in Industrial Automation

 14 Hours

This instructor-led, live training in Hanoi (online or onsite) is aimed at intermediate-level industrial engineers, manufacturing professionals, and AI developers who wish to implement Edge AI solutions in industrial automation.

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

  • Understand the role of Edge AI in industrial automation.
  • Implement predictive maintenance solutions using Edge AI.
  • Apply AI techniques for quality control in manufacturing processes.
  • Optimize industrial processes using Edge AI.
  • Deploy and manage Edge AI solutions in industrial environments.
Read more...

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

 21 Hours

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.
Read more...

Edge AI with TensorFlow Lite

 14 Hours

This instructor-led, live training in Hanoi (online or onsite) is aimed at intermediate-level developers, data scientists, and AI practitioners who wish to leverage TensorFlow Lite for Edge AI applications.

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

  • Understand the fundamentals of TensorFlow Lite and its role in Edge AI.
  • Develop and optimize AI models using TensorFlow Lite.
  • Deploy TensorFlow Lite models on various edge devices.
  • Utilize tools and techniques for model conversion and optimization.
  • Implement practical Edge AI applications using TensorFlow Lite.
Read more...

Edge AI for Smart Cities

 14 Hours

This instructor-led, live training in Hanoi (online or onsite) is aimed at intermediate-level urban planners, civil engineers, and smart city project managers who wish to leverage Edge AI for smart city initiatives.

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

  • Understand the role of Edge AI in smart city infrastructures.
  • Implement Edge AI solutions for traffic management and surveillance.
  • Optimize urban resources using Edge AI technologies.
  • Integrate Edge AI with existing smart city systems.
  • Address ethical and regulatory considerations in smart city deployments.
Read more...

Security and Privacy in Edge AI

 14 Hours

This instructor-led, live training in Hanoi (online or onsite) is aimed at intermediate-level cybersecurity professionals, system administrators, and AI ethics researchers who wish to secure and ethically deploy Edge AI solutions.

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

  • Understand the security and privacy challenges in Edge AI.
  • Implement best practices for securing edge devices and data.
  • Develop strategies to mitigate security risks in Edge AI deployments.
  • Address ethical considerations and ensure compliance with regulations.
  • Conduct security assessments and audits for Edge AI applications.
Read more...

Edge AI in Autonomous Systems

 14 Hours

This instructor-led, live training in Hanoi (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.
Read more...

Edge AI for Healthcare

 14 Hours

This instructor-led, live training in Hanoi (online or onsite) is aimed at intermediate-level healthcare professionals, biomedical engineers, and AI developers who wish to leverage Edge AI for 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.
Read more...

Edge AI for Robots: TinyML, On-Device Inference & Optimization

 21 Hours

Edge AI enables artificial intelligence models to run directly on embedded or resource-constrained devices, reducing latency and power consumption while increasing autonomy and privacy in robotic systems.

This instructor-led, live training (online or onsite) is aimed at intermediate-level embedded developers and robotics engineers who wish to implement machine learning inference and optimization techniques directly on robotic hardware using TinyML and edge AI frameworks.

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

  • Understand the fundamentals of TinyML and edge AI for robotics.
  • Convert and deploy AI models for on-device inference.
  • Optimize models for speed, size, and energy efficiency.
  • Integrate edge AI systems into robotic control architectures.
  • Evaluate performance and accuracy in real-world scenarios.

Format of the Course

  • Interactive lecture and discussion.
  • Hands-on practice using TinyML and edge AI toolchains.
  • Practical exercises on embedded and robotic hardware platforms.

Course Customization Options

  • To request a customized training for this course, please contact us to arrange.
Read more...

6G and the Intelligent Edge

 21 Hours

6G and the Intelligent Edge is a forward-looking course that explores the integration of 6G wireless technologies with edge computing, IoT ecosystems, and AI-driven data processing to support intelligent, low-latency, and adaptive infrastructures.

This instructor-led, live training (online or onsite) is aimed at intermediate-level IT architects who wish to understand and design next-generation distributed architectures leveraging the synergy of 6G connectivity and intelligent edge systems.

Upon completion of this course, participants will be able to:

  • Understand how 6G will transform edge computing and IoT architectures.
  • Design distributed systems for ultra-low latency, high bandwidth, and autonomous operations.
  • Integrate AI and data analytics at the edge for intelligent decision-making.
  • Plan scalable, secure, and resilient 6G-ready edge infrastructures.
  • Evaluate business and operational models enabled by 6G-edge convergence.

Format of the Course

  • Interactive lectures and discussions.
  • Case studies and applied architecture design exercises.
  • Hands-on simulation with optional edge or container tools.

Course Customization Options

  • To request a customized training for this course, please contact us to arrange.
Read more...

Advanced Edge AI Techniques

 14 Hours

This instructor-led, live training in Hanoi (online or onsite) is aimed at advanced-level AI practitioners, researchers, and developers who wish to master the latest advancements in Edge AI, optimize their AI models for edge deployment, and explore specialized applications across various industries.

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

  • Explore advanced techniques in Edge AI model development and optimization.
  • Implement cutting-edge strategies for deploying AI models on edge devices.
  • Utilize specialized tools and frameworks for advanced Edge AI applications.
  • Optimize performance and efficiency of Edge AI solutions.
  • Explore innovative use cases and emerging trends in Edge AI.
  • Address advanced ethical and security considerations in Edge AI deployments.
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CANN for Edge AI Deployment

 14 Hours

Huawei's Ascend CANN toolkit enables powerful AI inference on edge devices such as the Ascend 310. CANN provides essential tools for compiling, optimizing, and deploying models where compute and memory are constrained.

This instructor-led, live training (online or onsite) is aimed at intermediate-level AI developers and integrators who wish to deploy and optimize models on Ascend edge devices using the CANN toolchain.

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

  • Prepare and convert AI models for Ascend 310 using CANN tools.
  • Build lightweight inference pipelines using MindSpore Lite and AscendCL.
  • Optimize model performance for limited compute and memory environments.
  • Deploy and monitor AI applications in real-world edge use cases.

Format of the Course

  • Interactive lecture and demonstration.
  • Hands-on lab work with edge-specific models and scenarios.
  • Live deployment examples on virtual or physical edge hardware.

Course Customization Options

  • To request a customized training for this course, please contact us to arrange.
Read more...

Edge AI for IoT Applications

 14 Hours

This instructor-led, live training in Hanoi (online or onsite) is aimed at intermediate-level developers, system architects, and industry professionals who wish to leverage Edge AI for enhancing IoT applications with intelligent data processing and analytics capabilities.

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

  • Understand the fundamentals of Edge AI and its application 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.
Read more...

TinyML for IoT Applications

 21 Hours

This instructor-led, live training in Hanoi (online or onsite) is aimed at intermediate-level IoT developers, embedded engineers, and AI practitioners who wish to implement TinyML for predictive maintenance, anomaly detection, and smart sensor applications.

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

  • Understand the fundamentals of TinyML and its applications in IoT.
  • Set up a TinyML development environment for IoT projects.
  • Develop and deploy ML models on low-power microcontrollers.
  • Implement predictive maintenance and anomaly detection using TinyML.
  • Optimize TinyML models for efficient power and memory usage.
Read more...

Edge AI: From Concept to Implementation

 14 Hours

This instructor-led, live training in Hanoi (online or onsite) is aimed at intermediate-level developers and IT professionals who wish to gain a comprehensive understanding of Edge AI from concept to practical implementation, including setup and deployment.

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

  • Understand the fundamental concepts of Edge AI.
  • Set up and configure Edge AI environments.
  • Develop, train, and optimize Edge AI models.
  • Deploy and manage Edge AI applications.
  • Integrate Edge AI with existing systems and workflows.
  • Address ethical considerations and best practices in Edge AI implementation.
Read more...

Deploying AI on Microcontrollers with TinyML

 21 Hours

This instructor-led, live training in Hanoi (online or onsite) is aimed at intermediate-level embedded systems engineers and AI developers who wish to deploy machine learning models on microcontrollers using TensorFlow Lite and Edge Impulse.

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

  • Understand the fundamentals of TinyML and its benefits for edge AI applications.
  • Set up a development environment for TinyML projects.
  • Train, optimize, and deploy AI models on low-power microcontrollers.
  • Use TensorFlow Lite and Edge Impulse to implement real-world TinyML applications.
  • Optimize AI models for power efficiency and memory constraints.
Read more...

Cambricon MLU Development with BANGPy and Neuware

 21 Hours

Cambricon MLUs (Machine Learning Units) are specialized AI chips optimized for inference and training in edge and datacenter scenarios.

This instructor-led, live training (online or onsite) is aimed at intermediate-level developers who wish to build and deploy AI models using the BANGPy framework and Neuware SDK on Cambricon MLU hardware.

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

  • Set up and configure the BANGPy and Neuware development environments.
  • Develop and optimize Python- and C++-based models for Cambricon MLUs.
  • Deploy models to edge and data center devices running Neuware runtime.
  • Integrate ML workflows with MLU-specific acceleration features.

Format of the Course

  • Interactive lecture and discussion.
  • Hands-on use of BANGPy and Neuware for development and deployment.
  • Guided exercises focused on optimization, integration, and testing.

Course Customization Options

  • To request a customized training for this course based on your Cambricon device model or use case, please contact us to arrange.
Read more...

Introduction to Edge AI

 14 Hours

This instructor-led, live training in Hanoi (online or onsite) is aimed at beginner-level developers and IT professionals who wish to understand the fundamentals of Edge AI and its introductory applications.

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

  • Understand the basic concepts and architecture of Edge AI.
  • Set up and configure Edge AI environments.
  • Develop and deploy simple Edge AI applications.
  • Identify and understand the use cases and benefits of Edge AI.
Read more...

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That we can cover advance topic and work with real-life example

Ruben Khachaturyan - iris-GmbH infrared & intelligent sensors

Course - Advanced Edge AI Techniques

Provisional Upcoming Courses (Require 5+ participants)

6G and the Intelligent Edge

2026-05-27 09:30
21 hours
JW Marriott Hanoi
304,860,354 VND (Online)
304,860,354 VND (Classroom)

Edge AI in Autonomous Systems

2026-06-10 09:30
14 hours
Pullman Ha Noi
203,240,236 VND (Online)
203,240,236 VND (Classroom)

Deploying AI on Microcontrollers with TinyML

2026-06-24 09:30
21 hours
Sofitel Legend Metropole Hanoi
304,860,354 VND (Online)
304,860,354 VND (Classroom)

Low-Power AI: Optimizing Edge AI for Energy-Efficient Devices

2026-07-08 09:30
21 hours
Toong IPH
304,860,354 VND (Online)
304,860,354 VND (Classroom)

Edge & Lightweight Agents: On-Device Agentic Workloads with Python

2026-07-22 09:30
21 hours
UPGen Keangnam
304,860,354 VND (Online)
304,860,354 VND (Classroom)

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