Deep Learning Training in Ho Chi Minh City

This instructor-led live training Ho Chi Minh City (available online or on-site) is tailored for intermediate-level developers, data scientists, and AI professionals aiming to utilize TensorFlow Lite for Edge AI initiatives.

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

• Comprehend the foundational aspects of TensorFlow Lite and its function in Edge AI.
• Build and optimize AI models utilizing TensorFlow Lite.
• Deploy TensorFlow Lite models onto various edge devices.
• Apply tools and techniques for model conversion and optimization.
• Create functional Edge AI applications using TensorFlow Lite.

This live, instructor-led training on Ho Chi Minh City (delivered online or onsite) is designed for advanced-level professionals looking to refine their understanding of computer vision and harness TensorFlow’s capabilities for building advanced vision models via Google Colab.

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

• Develop and train convolutional neural networks (CNNs) using TensorFlow.
• Leverage Google Colab for scalable, efficient, cloud-based model development.
• Implement image preprocessing techniques tailored for computer vision tasks.
• Deploy computer vision models into real-world application contexts.
• Utilize transfer learning to boost the performance of CNN models.
• Visualize and interpret the outcomes of image classification models.

This instructor-led, live training in Ho Chi Minh City (online or onsite) is aimed at intermediate-level data scientists and developers who wish to understand and apply deep learning techniques using the Google Colab environment.

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

• Set up and navigate Google Colab for deep learning projects.
• Understand the fundamentals of neural networks.
• Implement deep learning models using TensorFlow.
• Train and evaluate deep learning models.
• Utilize advanced features of TensorFlow for deep learning.

This instructor-led, live training Ho Chi Minh City (available online or on-site) is designed for senior professionals aiming to specialize in cutting-edge deep learning approaches for NLU.

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

• Distinguish between the core characteristics of NLU and NLP models.
• Apply advanced deep learning methodologies to NLU challenges.
• Investigate complex structures like transformers and attention mechanisms.
• Harness future NLU trends to construct intricate AI solutions.

This instructor-led, live training in Ho Chi Minh City (online or onsite) is tailored for advanced professionals seeking to explore state-of-the-art XAI techniques for deep learning, focusing on the construction of interpretable AI systems.

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

• Grasp the challenges associated with explainability in deep learning.
• Apply advanced XAI techniques to neural networks.
• Interpret the decisions generated by deep learning models.
• Analyze the trade-offs between model performance and transparency.

This guided, live training in Ho Chi Minh City (online or on-site) targets mid-to-senior level data scientists, machine learning engineers, deep learning researchers, and computer vision experts seeking to expand their capabilities in deep learning for text-to-image generation.

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

• Grasp advanced deep learning architectures and methodologies for text-to-image synthesis.
• Implement complex models and optimization techniques for high-quality image creation.
• Optimize performance and scalability for large datasets and intricate models.
• Tune hyperparameters to enhance model performance and generalization.
• Integrate Stable Diffusion with other deep learning frameworks and tools.

This instructor-led, live training in Ho Chi Minh City (online or onsite) targets advanced-level professionals eager to harness AI techniques to transform drug discovery and development workflows.

Upon completion of this training, participants will be capable of:

• Comprehending the role of AI in drug discovery and development.
• Applying machine learning techniques to predict molecular properties and interactions.
• Utilizing deep learning models for virtual screening and lead optimization.
• Integrating AI-driven approaches into the clinical trial process.

This instructor-led, live training in Ho Chi Minh City (online or onsite) is aimed at biologists who wish to understand how AlphaFold works and use AlphaFold models as guides in their experimental studies.

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

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

This instructor-led, live training in Ho Chi Minh City (available online or on-site) targets beginner to intermediate-level developers interested in utilizing 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 instructor-led, live training (online or onsite) is targeted at data scientists, machine learning engineers, and computer vision researchers who wish to leverage Stable Diffusion to generate high-quality images for various use cases.

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

• Understand the principles of Stable Diffusion and how it functions for image generation.
• Build and train Stable Diffusion models for image generation tasks.
• Apply Stable Diffusion to various image generation scenarios, such as inpainting, outpainting, and image-to-image translation.
• Optimize the performance and stability of Stable Diffusion models.

In this instructor-led, live training in Ho Chi Minh City, participants will explore the most relevant and cutting-edge machine learning techniques in Python while developing a series of demo applications that process image, music, text, and financial data.

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

• Implement machine learning algorithms and techniques designed to address complex problems.
• Apply deep learning and semi-supervised learning methods to applications involving image, music, text, and financial data.
• Maximize the potential of Python algorithms.
• Leverage libraries and packages such as NumPy and Theano.

This instructor-led, live training in Ho Chi Minh City (online or onsite) provides an introduction into the field of pattern recognition and machine learning. It touches on practical applications in statistics, computer science, signal processing, computer vision, data mining, and bioinformatics.

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

• Apply core statistical methods to pattern recognition.
• Use key models like neural networks and kernel methods for data analysis.
• Implement advanced techniques for complex problem-solving.
• Improve prediction accuracy by combining different models.

This instructor-led, live training in Ho Chi Minh City (online or onsite) is aimed at software developers, data analysts, and technical professionals who wish to use 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 Ho Chi Minh City (online or onsite) targets data scientists who aim to utilize TensorFlow for analyzing potential fraud data.

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

• Create a fraud detection model using Python and TensorFlow.
• Build linear regressions and linear regression models to predict fraud.
• Develop an end-to-end AI application for analyzing fraud data.

In this instructor-led live training, participants will learn how to leverage Matlab to design, construct, and visualize a convolutional neural network (CNN) for image recognition tasks.

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

• Construct a deep learning model
• Automate the data labeling process
• Utilize models from Caffe and TensorFlow-Keras
• Train data across multiple GPUs, cloud environments, or clusters

Audience

• Developers
• Engineers
• Domain experts

Format of the course

• Combination of lectures, discussions, exercises, and extensive hands-on practice

This instructor-led, live training session in Ho Chi Minh City, offered online or onsite, 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 have the capability to:

• Install and configure TensorFlow 2.x.
• Understand the benefits TensorFlow 2.x offers over previous versions.
• Construct deep learning models.
• Implement an advanced image classifier.
• Deploy deep learning models to cloud, mobile, and IoT environments.