Machine Learning Training in Bangkok

This live, instructor-led training, conducted in Bangkok (either online or on-site), is designed for entry-level professionals aiming to comprehend pre-trained models and apply them to practical real-world issues, without the necessity of building models from scratch.

By the conclusion of this training, participants will be capable of:

• Understanding the core concepts and benefits associated with pre-trained models.
• Exploring different architectural frameworks and their practical applications.
• Fine-tuning pre-trained models to suit specific operational needs.
• Implementing pre-trained models within basic machine learning initiatives.

This live, instructor-guided training session in Bangkok (online or onsite) caters to participants from diverse professional backgrounds who aim to utilize Google’s AutoML platform to construct customized chatbots for a wide range of applications.

By the end of this session, participants will be equipped to:

• Grasp the core principles of chatbot engineering.
• Explore the Google Cloud Platform ecosystem and utilize AutoML.
• Curate and prepare data for training chatbot models.
• Train and assess custom chatbot models using AutoML.
• Integrate and deploy chatbots across multiple platforms and channels.
• Track and refine chatbot performance for sustained effectiveness.

This live, instructor-led training, offered in Bangkok (either online or onsite), is specifically designed for intermediate-level AI developers, machine learning engineers, and system architects looking to optimize AI models for edge environments.

By the conclusion of this program, attendees will have the ability to:

• Comprehend the specific challenges and technical requirements of deploying AI on edge devices.
• Employ model compression techniques to minimize model footprint and complexity.
• Utilize quantization approaches to improve efficiency on edge hardware.
• Integrate pruning and other optimization tactics to enhance performance metrics.
• Roll out optimized AI models onto various edge platforms.

Offered in Bangkok (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 live, instructor-led course conducted in Bangkok (either online or on-site) is designed for senior AI engineers and data scientists with intermediate-to-advanced experience. It empowers participants to boost DeepSeek model performance, lower latency, and deploy AI solutions efficiently by leveraging modern MLOps practices.

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

• Enhance DeepSeek models for improved efficiency, precision, and scalability.
• Adopt best practices in MLOps and model version control.
• Deploy DeepSeek models across cloud and on-premise environments.
• Monitor, maintain, and scale AI solutions with confidence.

This instructor-led training in Bangkok empowers advanced professionals to design, optimize, and deploy comprehensive TinyML pipelines. Through practical labs, participants will master data collection, low-power model training, and real-world application testing.

This instructor-led live training, offered in Bangkok (either online or onsite), is tailored for intermediate-level developers, data scientists, and AI practitioners seeking to maximize the potential of TensorFlow Lite in Edge AI scenarios.

By the conclusion of this program, participants will be equipped to:

• Comprehend the essential mechanics of TensorFlow Lite and its significance in Edge AI.
• Build and refine AI models through the use of TensorFlow Lite.
• Deploy TensorFlow Lite models onto a variety of edge devices.
• Leverage specialized tools and methods for model conversion and efficiency improvements.
• Create practical Edge AI implementations using TensorFlow Lite.

This instructor-led, live training available in Bangkok (online or onsite) is tailored for advanced professionals aiming to master the core technologies of autonomous systems.

By the end of this program, participants will be capable of:

• Designing and implementing AI models for autonomous decision processes.
• Developing control algorithms for precise autonomous navigation and obstacle management.
• Ensuring high standards of safety and reliability in AI-driven autonomous environments.
• Integrating autonomous modules with current robotics and AI frameworks.

This instructor-led live training, conducted in Bangkok (available online or onsite), is specifically curated for advanced professionals seeking to expand their mastery of computer vision. It explores how to leverage TensorFlow’s capabilities to engineer sophisticated vision models using the Google Colab platform.

By the end of this program, participants will have the capability to:

• Build and train convolutional neural networks (CNNs) using TensorFlow.
• Leverage Google Colab for scalable and efficient cloud-based model development.
• Implement image preprocessing techniques for computer vision tasks.
• Deploy computer vision models for real-world applications.
• Use transfer learning to enhance the performance of CNN models.
• Visualize and interpret the results of image classification models.

This instructor-led course in Bangkok empowers advanced professionals to protect TinyML pipelines on edge devices. You will gain the skills to apply privacy-preserving methods, reinforce models against adversarial threats, and implement secure data handling best practices in resource-constrained environments.

This live, instructor-led training session in Bangkok (offered online or onsite) is designed for advanced professionals looking to expand their expertise in machine learning models, sharpen their hyperparameter tuning skills, and learn to deploy models effectively via Google Colab.

By the conclusion of this program, participants will have the capability to:

• Construct advanced machine learning models using prominent frameworks like Scikit-learn and TensorFlow.
• Optimize model performance via hyperparameter tuning techniques.
• Deploy machine learning models for practical applications using Google Colab.
• Oversee and collaborate on large-scale machine learning projects within Google Colab.

This instructor-led live training, offered in Bangkok (both online and onsite), targets intermediate-level professionals aiming to utilize AI techniques to optimize yield management within semiconductor manufacturing.

By the conclusion of this program, participants will be capable of:

• Reviewing production data to identify key drivers of yield rates.
• Applying AI algorithms to enhance yield management operations.
• Tuning production parameters to lower defect rates and boost yields.
• Integrating AI-driven yield management into established production workflows.

This live, instructor-led training (available online or on-site) is designed for intermediate-level business and AI professionals seeking to apply machine learning in business contexts, forecasting, and AI-driven systems. The curriculum utilizes real-world case studies and Python-based tools.

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

• Understanding the role of machine learning within AI and business strategy.
• Applying supervised and unsupervised learning techniques to solve structured business problems.
• Preprocessing and transforming data for modeling purposes.
• Employing neural networks for classification and prediction tasks.
• Conducting sales forecasting using statistical and ML-based methods.
• Implementing clustering and association rule mining for customer segmentation and pattern discovery.

This instructor-led, live training in Bangkok (online or onsite) is tailored for intermediate-level professionals seeking to leverage AI-driven predictive maintenance in semiconductor manufacturing to boost production efficiency and curb unexpected equipment failures.

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

• Deploy AI models to forecast equipment failures in semiconductor manufacturing.
• Analyze maintenance data to detect patterns and trends that indicate potential issues.
• Integrate AI-driven predictive maintenance into existing manufacturing workflows.
• Lower downtime and maintenance costs through proactive equipment management.

This instructor-led, live training in Bangkok (online or onsite) is tailored for advanced professionals looking to apply cutting-edge AI techniques to semiconductor design automation, thereby enhancing efficiency, accuracy, and innovation in chip design and verification.

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

• Utilize sophisticated AI techniques to streamline and optimize semiconductor design processes.
• Embed machine learning models within EDA tools to strengthen design verification capabilities.
• Formulate AI-driven solutions to tackle complex challenges in chip fabrication.
• Harness neural networks to boost the accuracy and speed of design automation tasks.

This instructor-led, live training session Bangkok (delivered online or onsite) is specifically designed for intermediate data scientists and developers seeking to master the application of deep learning techniques through the Google Colab environment.

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

• Set up and operate Google Colab for deep learning endeavors.
• Comprehend the basic mechanics of neural networks.
• Develop deep learning models with TensorFlow.
• Conduct the training and assessment of deep learning models.
• Apply sophisticated TensorFlow features to enhance deep learning projects.

This live, instructor-led course in Bangkok (available online or on-site) targets intermediate-level professionals aiming to master and apply AI techniques for improving semiconductor fabrication.

Following this training, attendees will be able to:

• Comprehend AI methods for optimizing chip manufacturing processes.
• Execute AI models to elevate yield and suppress defects.
• Scrutinize process data to determine essential optimization parameters.
• Leverage machine learning to fine-tune semiconductor production procedures.

This live, instructor-led training in Bangkok (online or onsite) is tailored for intermediate professionals looking to automate and manage machine learning workflows, encompassing model training, validation, and deployment through Apache Airflow.

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

• Establish Apache Airflow for the orchestration of machine learning workflows.
• Automate critical tasks such as data preprocessing, model training, and validation.
• Integrate Airflow with various machine learning frameworks and tools.
• Deploy machine learning models utilizing automated pipelines.
• Monitor and optimize machine learning workflows within a production setting.

This live, instructor-led program in Bangkok (offered online or onsite) targets intermediate data scientists and developers aiming to efficiently deploy machine learning algorithms via Google Colab.

By the conclusion of the course, participants will have the capability to:

• Establish and manage Google Colab environments for machine learning tasks.
• Comprehend and deploy a range of machine learning techniques.
• Utilize tools like Scikit-learn for advanced data analysis and prediction.
• Build models using both supervised and unsupervised learning methods.
• Optimize model performance and conduct effective evaluations.

This live, instructor-led training in Bangkok empowers advanced practitioners to optimize TinyML models for resource-constrained embedded devices. Participants will apply quantization and pruning, implement low-latency inference pipelines, and benchmark performance against memory and energy limits.

This live, instructor-led training in Bangkok (online or onsite) is tailored for advanced professionals aiming to explore state-of-the-art XAI techniques for deep learning, with a specific focus on creating interpretable AI systems.

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

• Grasp the difficulties associated with explainability in deep learning.
• Deploy advanced XAI techniques for neural networks.
• Decipher the decisions made by deep learning models.
• Analyze the trade-offs between high performance and transparency.

This instructor-led live training (online or onsite) targets beginner-level professionals seeking to master and deploy AI technologies in the semiconductor manufacturing domain.

By the conclusion of this program, attendees will be equipped to:

• Understand fundamental AI principles and their practical application in semiconductor production.
• Recognize specific manufacturing stages where AI integration is most effective.
• Apply AI-driven tools to enhance output efficiency and maintain rigorous quality control.
• Establish basic AI models to drive the optimization of manufacturing processes.

This instructor-led training, available online or onsite in Bangkok, is designed for data scientists and developers aiming to use ML.NET models to automatically generate forecasts from data analysis in enterprise contexts.

By the end of the session, participants will have the ability to:

• Install ML.NET and integrate it into the development ecosystem.
• Understand the theoretical and practical machine learning principles behind ML.NET.
• Build and train models to make intelligent predictions from available data.
• Evaluate model effectiveness using ML.NET performance metrics.
• Improve the accuracy of current models within the ML.NET framework.
• Apply ML.NET concepts to other data science use cases.

Targeting intermediate data professionals, this live, instructor-led training in Bangkok (online or onsite) equips participants to apply machine learning techniques to data-driven business issues, such as sales forecasting and predictive modeling with neural networks.

By the end of the session, attendees will be equipped to:

• Comprehend the core principles and varieties of machine learning.
• Implement primary algorithms for classification, regression, clustering, and association analysis.
• Execute exploratory data analysis and data preparation in Python.
• Utilize neural networks for nonlinear modeling tasks.
• Apply predictive analytics for business forecasting, including sales data analysis.
• Assess and optimize model performance using visual and statistical tools.

This instructor-led, live training in Bangkok (online or onsite) is aimed at intermediate to advanced-level data scientists, machine learning engineers, deep learning researchers, and computer vision experts who wish to expand their knowledge and skills in deep learning for text-to-image generation.

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

• Understand advanced deep learning architectures and techniques for text-to-image generation.
• Implement complex models and optimizations for high-quality image synthesis.
• Optimize performance and scalability for large datasets and complex models.
• Tune hyperparameters for better model performance and generalization.
• Integrate Stable Diffusion with other deep learning frameworks and tools

This live, instructor-led training held in Bangkok (either virtually or in-person) targets intermediate-to-advanced cybersecurity professionals aiming to sharpen their capabilities in AI-assisted threat detection and incident response.

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

• Deploy advanced AI algorithms for immediate threat recognition.
• Adapt AI models to address distinct cybersecurity challenges.
• Construct automated workflows for rapid threat response.
• Fortify AI-driven security instruments against hostile adversarial maneuvers.

This interactive, instructor-led session in Bangkok (online or onsite) is designed for mid-level embedded systems engineers and AI developers looking to implement machine learning models on microcontrollers using TensorFlow Lite and Edge Impulse.

Upon completion, participants will be equipped to:

• Grasp the core concepts of TinyML and its advantages for edge AI scenarios.
• Configure a suitable development environment for TinyML initiatives.
• Train, refine, and execute AI models on low-power microcontrollers.
• Leverage TensorFlow Lite and Edge Impulse to build practical TinyML solutions.
• Fine-tune AI models to address power efficiency and memory limitations.

This instructor-led, live session in Bangkok (online or in-person) is intended for entry-level cyber defense professionals aiming to utilize AI for enhanced threat identification and management.

Upon completion of this session, attendees will be able to:

• Comprehend AI uses within cyber defense.
• Deploy AI algorithms for threat identification.
• Automate incident management using AI tools.
• Integrate AI into established cyber defense infrastructure.

This instructor-led live training in Bangkok (online or onsite) is designed for biologists who want to understand the workings of AlphaFold and leverage its models to guide their experimental studies.

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

• Understand the basic principles of AlphaFold.
• Learn how AlphaFold functions.
• Learn how to interpret AlphaFold predictions and results.

This live, instructor-led training, conducted in Bangkok (either online or on-site), targets intermediate data analysts aiming to master the use of RapidMiner for value estimation and projection, and for employing analytical tools in time series forecasting.

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

• Implement the CRISP-DM methodology, select optimal machine learning algorithms, and refine model construction and performance outcomes.
• Utilize RapidMiner to estimate and project values, and apply analytical tools for time series forecasting.

This live, instructor-led session, available online or in person, is crafted for data scientists, machine learning engineers, and computer vision researchers looking to utilize Stable Diffusion for creating high-fidelity images for multiple use cases.

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

• Comprehend the operational principles of Stable Diffusion for image synthesis.
• Develop and train Stable Diffusion models for specific image tasks.
• Deploy Stable Diffusion in various scenarios, including inpainting, outpainting, and image-to-image translation.
• Refine the performance and stability of Stable Diffusion models.

This intensive 8-day programme guides participants through a comprehensive pathway from robust Python engineering fundamentals to sophisticated AI system architecture. Learners cultivate rigorous coding standards, acquire mastery over statistical and deep learning methodologies, and construct scalable generative AI and agent-based systems designed for real-world operations. The curriculum prioritises reliability, rigorous evaluation, safety protocols, and practical deployment strategies over theoretical experimentation.

This live, instructor-led training in Bangkok (available online or onsite) provides an introductory overview of pattern recognition and machine learning. It explores practical applications within statistics, computer science, signal processing, computer vision, data mining, and bioinformatics.

By the end of this program, participants will be prepared to:

• Apply core statistical methods to pattern recognition scenarios.
• Utilize key models, including neural networks and kernel methods, for data analysis.
• Implement advanced techniques to solve complex problems.
• Enhance prediction accuracy by integrating various models.

This instructor-led live training in Bangkok (delivered online or onsite) is tailored for data scientists who intend to utilize TensorFlow for analyzing potential fraud data.

By the conclusion of this session, participants will have the capability to:

• Implement a fraud detection model using Python and TensorFlow.
• Establish linear regression models for fraud prediction.
• Create a full-stack AI application dedicated to fraud data analysis.

This practical, instructor-led training is designed as a natural continuation of the Python for Data Analysis course.

It introduces participants to the core concepts of Machine Learning and shows how these can be applied directly to data analysis tasks such as prediction, classification, and segmentation.

The focus is on understanding how Machine Learning works in practice, using familiar tools such as Python, Pandas, and Jupyter Notebook, without requiring an advanced mathematical background.

This instructor-led, live training in Bangkok (delivered online or onsite) is tailored for developers and data scientists seeking to build, deploy, and manage machine learning workflows on Kubernetes.

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

• Install and configure Kubeflow for both on-premise and cloud deployments.
• Develop, deploy, and oversee ML workflows using Docker containers and Kubernetes.
• Execute full machine learning pipelines across diverse architectures and cloud environments.
• Use Kubeflow to launch and manage Jupyter notebooks.
• Create ML training, hyperparameter tuning, and serving workloads across multiple platforms.

This instructor-led live training in Bangkok (online or onsite) is tailored for engineers seeking to evaluate current approaches and tools. The goal is to facilitate strategic decisions on integrating MLOps into your organization.

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

• Setting up and configuring MLOps frameworks and tools.
• Forming a skilled team to build and support MLOps infrastructure.
• Preparing, validating, and versioning data for ML models.
• Understanding ML Pipeline components and the tools required for assembly.
• Testing various machine learning frameworks and servers for production use.
• Operationalizing the Machine Learning process for reproducibility and easy maintenance.

This live, instructor-led session conducted in Bangkok (online or on-site) is designed for intermediate data analysts, developers, or aspiring data scientists aiming to utilize Python-based machine learning strategies to gain insights, generate predictions, and automate data-informed decisions.

By the course's conclusion, participants will be capable of:

• Differentiating core machine learning paradigms.
• Examining data preprocessing strategies and model evaluation indicators.
• Applying machine learning algorithms to resolve real-world data issues.
• Utilizing Python libraries and Jupyter notebooks for hands-on development.
• Creating models for prediction, classification, recommendation, and clustering.

This instructor-led, live training in Bangkok (online or on-site) is designed for developers and data scientists who aim to utilize TensorFlow 2.x to build predictors, classifiers, generative models, neural networks, and similar applications.

By the end of this training, participants will be capable of:

• Installing and configuring TensorFlow 2.x.
• Understanding the benefits of TensorFlow 2.x over previous iterations.
• Constructing deep learning models.
• Implementing an advanced image classifier.
• Deploying deep learning models to cloud, mobile, and IoT devices.