Delivered either online or on-site, these instructor-led live Deep Learning (DL) training programs emphasize hands-on practice to demonstrate the core principles and practical applications of the field. The curriculum encompasses key topics such as deep machine learning, deep structured learning, and hierarchical learning.
Participants can choose between "online live training" and "onsite live training". The online format, also referred to as "remote live training", is conducted through an interactive, remote desktop environment. Alternatively, onsite live training can be conducted directly at customer premises in Bangkok or within NobleProg's corporate training centers located in Bangkok.
NobleProg -- Your Local Training Provider
Empire Tower
1, South Sathorn Road,, Bangkok, thailand, 10120
Ways to get there
BTS Skytrain: Take the Silom Line and get off at BTS Chong Nonsi. The Empire is within walking distance; the building has access from the Sathorn/Naradhiwas area.
BTS Saint Louis:Saint Louis station is also nearby, around a 7-minute walk according to current location information.
BRT: Get off at BRT Sathorn. It's approximately a 2–4 minute walk to the building.
MRT:MRT Silom is another option, followed by a walk toward Sathorn.
Taxi/Grab: Give the driver: “The Empire, 1 South Sathorn Road, Sathon, Bangkok 10120.” The official building site confirms this address.
By car: The building can be accessed from Sathorn Road or Naradhiwas Rajanagarinda Road.
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, 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, 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 instructor-led live training in Bangkok (online or onsite) is aimed at advanced-level professionals who wish to specialize in cutting-edge deep learning techniques for NLU.
By the end of this training, participants will be able to:
Distinguish the fundamental differences between NLU and NLP paradigms.
Implement advanced deep learning strategies for various NLU applications.
Analyze complex architectures, including transformers and attention mechanisms.
Integrate forward-looking NLU trends to engineer robust AI systems.
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 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
Targeting advanced professionals, this live, instructor-led training in Bangkok (offered online or onsite) focuses on applying AI techniques to revolutionize drug discovery and development processes.
By the conclusion of this program, participants will be able to:
Comprehend the impact of AI on drug discovery and development.
Employ machine learning methods to predict molecular properties and interactions.
Utilize deep learning models for virtual screening and lead optimization.
Embed AI-driven approaches within the clinical trial process.
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 in Bangkok (available online or onsite) is designed for developers from beginner to intermediate levels who aim to utilize Large Language Models for various natural language tasks.
By the end of this training, participants will be able to:
Set up a development environment that includes a popular LLM.
Create a basic LLM and fine-tune it on a custom dataset.
Use LLMs for different natural language tasks such as text summarization, question answering, text generation, and more.
Debug and evaluate LLMs using tools such as TensorBoard, PyTorch Lightning, and Hugging Face Datasets.
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.
In this instructor-led, live training session in Bangkok, attendees will gain exposure to the most pertinent and advanced machine learning techniques in Python. This is achieved by constructing a series of demo applications that process image, music, text, and financial data.
Upon completing this training, participants will be equipped to:
Deploy machine learning algorithms and methodologies to resolve complex challenges.
Leverage deep learning and semi-supervised learning approaches for applications involving image, music, text, and financial data.
Maximize the performance potential of Python algorithms.
Utilize key libraries and packages, including NumPy and Theano.
This hands-on workshop in Bangkok guides programmers in constructing AI models from first principles using Python. Learners will gain proficiency in supervised learning, neural networks, and unsupervised techniques through the use of scikit-learn and Apache Spark. The training emphasizes practical Jupyter-based exercises aimed at solving real-world challenges.
This instructor-led course in Bangkok delves into the theoretical concepts and practical application of Deep Reinforcement Learning using Python. Learners will develop and train DRL agents using TensorFlow or PyTorch, applying essential algorithms like DQN and PPO to address complex, real-world challenges.
An introductory course on Bangkok that explores the core tenets of AI, ranging from intelligent agents to machine learning. It prepares executives and architects to evaluate emerging AI trends, adopt practical solutions, and enhance business agility by leveraging automated strategies.
Discover how Machine Learning and Deep Learning are revolutionizing the automotive landscape. This Bangkok course delves into fundamental concepts, progressing from simple automation to autonomous decision-making, and includes an examination of neural networks along with practical TensorFlow examples for real-world implementation.
This three-day program in Bangkok provides a comprehensive exploration of the theoretical and practical aspects of Artificial Neural Networks, Machine Learning, and Deep Learning. Participants will delve into network architectures, learning mechanisms, and underlying mathematical principles, progressing from foundational perceptrons to sophisticated deep learning techniques.
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 live training in Bangkok, available online or onsite, targets software developers, data analysts, and technical professionals aiming to utilize TensorFlow 2.x and Keras to build, train, and deploy deep learning models for computer vision, natural language processing, and multimodal applications.
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 instructor-led live course enables participants to master the design, construction, and visualization of convolutional neural networks for image recognition using MATLAB.
Upon completion, learners will be equipped to:
Construct deep learning models
Streamline data labeling processes
Utilize models originating from Caffe and TensorFlow-Keras
Execute training across multiple GPUs, cloud environments, or clusters
Target Audience
Developers
Engineers
Domain specialists
Training Methodology
A blend of lectures, discussions, exercises, and intensive hands-on practice
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.
This 35-hour program on Bangkok delves into the fundamentals of deep neural networks, covering CNNs, RNNs, and generative models such as GANs. Participants will gain practical experience with Theano and TensorFlow, learning to build, train, and deploy production-grade deep learning models for real-world applications.
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Testimonials (5)
Getting people that never used AI some repetition in prompting and people that do use AI to consider different methods to using it.
Matthew Gay - Tarsus Pharmaceuticals
Course - Artificial Intelligence (AI) Overview
The training was organized and well-planned out, and I come out of it with systematized knowledge and a good look at topics we looked at
Magdalena - Samsung Electronics Polska Sp. z o.o.
Course - Deep Learning with TensorFlow 2
Working from first principles in a focused way, and moving to applying case studies within the same day
Maggie Webb - Department of Jobs, Regions, and Precincts
Course - Artificial Neural Networks, Machine Learning, Deep Thinking
That it was applying real company data.
Trainer had a very good approach by making trainees participate and compete
Jimena Esquivel - Zaklad Uslugowy Hakoman Andrzej Cybulski
Course - Applied AI from Scratch in Python
In-depth coverage of machine learning topics, particularly neural networks. Demystified a lot of the topic.
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