Large Language Models (LLMs) Training in Ho Chi Minh City

This instructor-led, live training in Ho Chi Minh City (online or onsite) is designed for senior management professionals who wish to understand LLMs, explore their potential impact on business operations, and evaluate practical uses of AI tools such as ChatGPT, Microsoft Copilot, or Grok for real-world tasks like content creation, data summarization, and decision support.

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

• Grasp the concept of LLMs and understand how tools like ChatGPT and Copilot function.
• Apply prompt techniques to obtain practical and reliable results from LLMs.
• Assess real-world use cases, including email drafting, document summarization, and productivity automation.
• Identify investment opportunities and strategic applications for adopting AI.

This instructor-led live training in Ho Chi Minh City (delivered online or on-site) is tailored for senior management teams seeking to understand the strategic value of LLMs and enterprise AI tools. Participants will examine how to incorporate these tools into high-level workflows, improve prompt drafting, and identify opportunities to enhance productivity and ROI through AI adoption.

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

• Understand the functionality of LLMs and how tools like ChatGPT and Copilot implement them.
• Utilize prompt-based interactions to automate and expedite tasks.
• Apply AI tools to real-world scenarios, such as drafting emails, summarizing reports, and reviewing agreements.
• Assess the strategic benefits, limitations, and licensing factors involved in adopting LLMs.

This instructor-led, live training in Ho Chi Minh City (online or onsite) is designed for intermediate to advanced-level AI researchers, data scientists, and developers who wish to understand, fine-tune, and implement Meta AI's Large Language Models for various NLP applications.

Upon completing this training, participants will be able to:

• Grasp the architecture and functionality of Meta AI's Large Language Models.
• Configure and fine-tune Meta AI LLMs for specific use cases.
• Develop LLM-based applications such as text summarization tools, chatbots, and sentiment analysis systems.
• Efficiently optimize and deploy large language models.

This instructor-led, live training in Ho Chi Minh City (online or onsite) targets intermediate-level AI professionals, business analysts, and technology leaders who want to understand the principles of generative AI and the business applications of LLMs. Participants will learn about transformers, prompt engineering, and ethical considerations when deploying these models for real-world solutions.

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

• Understand the underlying principles of generative AI and large language models.
• Implement and fine-tune LLMs for specific business applications.
• Apply prompt engineering techniques for optimal model outputs.
• Recognize ethical considerations and manage risks in LLM deployment.

This instructor-led live training in Ho Chi Minh City (online or onsite) targets intermediate-level AI professionals, ethicists, data scientists, engineers, and policy makers who wish to understand and navigate the ethical landscape of LLMs.

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

• Detect ethical issues and challenges related to LLMs.
• Implement ethical frameworks and principles during LLM deployment.
• Evaluate the societal impact of LLMs and mitigate associated risks.
• Create strategies for responsible AI development and application.

This instructor-led, live training in Ho Chi Minh City (online or onsite) targets intermediate NLP practitioners, data scientists, content creators, translators, and global enterprises interested in leveraging LLMs for language translation and the creation of multilingual content.

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

• Grasp the core principles of cross-lingual learning and translation using LLMs.
• Deploy LLMs to translate content across multiple languages.
• Construct and manage multilingual datasets specifically for training LLMs.
• Formulate strategies to ensure consistency and high quality in translation outputs.

This instructor-led live training in Ho Chi Minh City (available online or onsite) targets intermediate-level financial analysts, data scientists, and investment professionals aiming to utilize LLMs for enhanced market analysis and prediction.

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

• Understand the practical application of LLMs in financial market analysis.


• Process financial news, reports, and data using LLMs to uncover key market insights.


• Build predictive models for stock prices, market trends, and economic indicators.


• Integrate LLM-based insights into strategic investment decision-making processes.

This instructor-led, live training in Ho Chi Minh City (online or on-site) is designed for intermediate-level environmental scientists, researchers, data analysts, policymakers, and conservation advocates who wish to apply LLMs to environmental modeling and analysis.

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

• Understand the application of LLMs in environmental science.
• Utilize LLMs to analyze and model environmental data.
• Interpret LLM outputs for environmental impact assessments.
• Communicate findings effectively to inform policy and conservation efforts.

This instructor-led, live training in Ho Chi Minh City (online or on-site) is designed for intermediate-level VR and AR developers, game designers, and AI engineers who wish to incorporate LLMs into VR and AR applications to create more engaging and responsive environments.

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

• Comprehend the role of LLMs in crafting immersive VR and AR experiences.
• Build VR and AR applications that leverage LLMs for interactive dialogues and content creation.
• Integrate LLMs with VR and AR development tools to enhance user engagement.
• Apply best practices for designing AI-driven narratives and interactions within virtual spaces.

This instructor-led live training Ho Chi Minh City (offered online or on-site) is tailored for intermediate-level data scientists, machine learning engineers, and software developers aiming to apply Large Language Models (LLMs) to multimodal data for advanced AI applications.

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

• Understand the principles of multimodal learning with LLMs.
• Implement LLMs to process and analyze text, image, and audio data.
• Develop applications that leverage the strengths of multimodal data integration.
• Evaluate the performance of multimodal LLM systems.

This instructor-led live training (available online or on-site) is aimed at intermediate-level cybersecurity professionals and data scientists who wish to utilize LLMs for enhancing cybersecurity measures and threat intelligence.

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

• Understand the role of LLMs in cybersecurity.
• Implement LLMs for threat detection and analysis.
• Utilize LLMs for security automation and response.
• Integrate LLMs with existing security infrastructure.

This instructor-led live training Ho Chi Minh City (online or onsite) is tailored for intermediate data scientists and business analysts aiming to use large language models (LLMs) to predict trends and behaviors across various industries.

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

• Gain a solid understanding of LLM fundamentals and their application in predictive analytics.
• Deploy LLMs to analyze data and predict outcomes across diverse sectors.
• Assess the performance of predictive models built with LLMs.
• Seamlessly integrate LLMs into current data processing workflows.

This instructor-led, live training in Ho Chi Minh City (online or onsite) is designed for intermediate-level data scientists seeking to build comprehensive understanding and practical skills in both Large Language Models (LLMs) and Reinforcement Learning (RL).

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

• Analyze the components and functionality of transformer models.
• Optimize and fine-tune LLMs for specific tasks and applications.
• Comprehend the core principles and methodologies of reinforcement learning.
• Understand how reinforcement learning techniques can enhance LLM performance.

This instructor-led, live training in Ho Chi Minh City (online or onsite) targets intermediate-level content creators, marketers, and educational technologists aiming to leverage LLMs to produce high-quality, varied, and captivating content across diverse sectors.

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

• Grasp the capabilities of LLMs and their role in content generation.
• Configure and utilize LLMs for creating various content formats.
• Implement best practices in prompting and fine-tuning LLMs to achieve specific outputs.
• Assess the quality of AI-generated content and tailor it for distinct audiences.
• Investigate advanced methods for creative and multi-modal content creation using LLMs.

This instructor-led, live training in Ho Chi Minh City (online or onsite) is aimed at educators, EdTech professionals, and researchers with varying levels of experience and expertise who wish to leverage LLMs for creating personalized educational experiences.

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

• Understand the architecture and capabilities of LLMs.
• Identify opportunities for personalization in educational content using LLMs.
• Design adaptive learning platforms that utilize LLMs for content personalization.
• Implement LLM-driven strategies for enhancing student engagement and learning outcomes.
• Evaluate the effectiveness of LLMs in educational settings and make data-driven decisions for

This instructor-led, live training in Ho Chi Minh City (available online or on-site) is designed for intermediate-level ML practitioners and AI developers who wish to fine-tune and deploy open-weight models like LLaMA, Mistral, and Qwen for specific business or internal applications.

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

• Understand the ecosystem and differences between open-source large language models.
• Prepare datasets and fine-tuning configurations for models like LLaMA, Mistral, and Qwen.
• Execute fine-tuning pipelines using Hugging Face Transformers and PEFT.
• Evaluate, save, and deploy fine-tuned models in secure environments.

This instructor-led live training in Ho Chi Minh City (offered online or onsite) targets beginner to intermediate software developers and data scientists aiming to implement LLMs within speech recognition and synthesis systems.

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

• Understand the role of LLMs in speech technologies.
• Implement LLMs for accurate speech recognition and natural-sounding speech synthesis.
• Integrate LLMs with speech recognition engines and speech synthesizers.
• Evaluate and improve the performance of speech systems using LLMs.
• Stay informed about current trends and future directions in speech technologies.

This instructor-led live training, conducted Ho Chi Minh City (either online or on-site), is designed for customer support and IT professionals at the beginner to intermediate level who seek to implement LLMs to build responsive and intelligent chatbots for customer service.

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

• Comprehend the fundamentals and architectural framework of Large Language Models (LLMs).
• Design and integrate LLMs into customer support systems.
• Enhance chatbot responsiveness and user experience.
• Address ethical considerations and ensure compliance with industry standards.
• Deploy and maintain an LLM-based chatbot for real-world applications.

This instructor-led, live training in Ho Chi Minh City (online or onsite) is designed for intermediate data scientists and AI engineers aiming to fine-tune large language models more cost-effectively and efficiently using methods like LoRA, Adapter Tuning, and Prefix Tuning.

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

• Understand the theoretical basis of parameter-efficient fine-tuning approaches.
• Implement LoRA, Adapter Tuning, and Prefix Tuning using Hugging Face PEFT.
• Evaluate the performance and cost trade-offs of PEFT methods compared to full fine-tuning.
• Deploy and scale fine-tuned LLMs with lower compute and storage requirements.

This instructor-led, live training in Ho Chi Minh City (online or onsite) is aimed at intermediate-level to advanced-level machine learning engineers, AI developers, and data scientists who wish to learn how to use QLoRA to efficiently fine-tune large models for specific tasks and customizations.

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

• Understand the theory behind QLoRA and quantization techniques for LLMs.
• Implement QLoRA in fine-tuning large language models for domain-specific applications.
• Optimize fine-tuning performance on limited computational resources using quantization.
• Deploy and evaluate fine-tuned models in real-world applications efficiently.

This instructor-led, live training in Ho Chi Minh City (online or onsite) is tailored for intermediate-level data and marketing professionals seeking to apply LLMs for analyzing public sentiment from various text sources like social media posts, product reviews, and customer feedback.

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

• Understand the principles of sentiment analysis and its application using LLMs.
• Preprocess and prepare datasets for sentiment analysis.
• Train and fine-tune LLMs to accurately reflect sentiment in text.
• Analyze sentiment in real-time from social media and other text sources.
• Integrate sentiment analysis findings into business strategies and decision-making processes.

This instructor-led live training in Ho Chi Minh City (online or onsite) is designed for intermediate-level software developers and technical writers who wish to leverage LLMs to streamline their coding workflows and create detailed, comprehensive documentation.

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

• Understand the role of LLMs in automating code generation and software documentation.
• Utilize LLMs to create accurate and efficient code snippets and documentation.
• Integrate LLMs into their software development lifecycle for enhanced productivity.
• Maintain high-quality documentation standards using automated tools.
• Address ethical considerations and best practices for using AI in software development.

This instructor-led, live training Ho Chi Minh City (online or onsite) is designed for intermediate business professionals and data analysts who aim to leverage LLMs to extract critical business insights.

Upon completion of this program, participants will be equipped to:

• Grasp the core concepts and practical uses of LLMs within the realm of business intelligence.
• Utilize LLMs to examine extensive datasets and derive actionable insights.
• Incorporate analytics powered by LLMs into strategic decision-making frameworks.
• Assess ethical implications and adhere to best practices for deploying LLMs in commercial settings.
• Foresee emerging AI trends and adapt to the changing dynamics of business intelligence.

This instructor-led, live training in Ho Chi Minh City (online or onsite) is designed for intermediate to advanced developers and data scientists who aim to master LlamaIndex for developing cutting-edge applications powered by Large Language Models.

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

• Set up and configure LlamaIndex for integration with LLMs.
• Index and query custom datasets using LlamaIndex to enhance LLM capabilities.
• Design and develop sophisticated applications utilizing LlamaIndex and LLMs.
• Understand and apply best practices for working with LLMs and LlamaIndex.
• Navigate the ethical considerations involved in deploying LLM-powered applications.

This instructor-led live training in Ho Chi Minh City (online or onsite) is designed for intermediate-level AI researchers, machine learning practitioners, and data scientists who aim to use LlamaIndex to enhance the capabilities of their AI models, ensuring greater accuracy and reliability for diverse applications.

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

• Understand the fundamental principles and components of LlamaIndex.
• Ingest and structure data for use with LLMs.
• Implement context augmentation to improve AI model performance.
• Integrate LlamaIndex into existing AI systems and workflows.

This instructor-led, live training in Ho Chi Minh City (online or onsite) is tailored for intermediate-level professionals who want to exploit the potential of prompt engineering and few-shot learning to enhance LLM performance for practical applications.

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

• Understand the principles of prompt engineering and few-shot learning.
• Design effective prompts for various NLP tasks.
• Leverage few-shot techniques to adapt LLMs with minimal data.
• Optimize LLM performance for practical applications.

This instructor-led, live training (available online or onsite) is designed for advanced-level engineers, AI specialists, and localization leads who want to implement large language model (LLM) systems for automated translation, quality evaluation, and enterprise governance.

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

• Build enterprise-grade LLM localization pipelines integrating open and proprietary models.
• Implement automated QA workflows and quality metrics for translation consistency.
• Establish governance and approval frameworks for multilingual content production.
• Deploy scalable, auditable LLM-based localization systems in secure environments.

This live, instructor-led training in Ho Chi Minh City empowers data engineers to seamlessly integrate LLMs into SQL environments. Participants will learn to build natural language pipelines, execute AI-driven optimizations, and design secure enterprise workflows for automated data analysis.

This instructor-led, live training (online or onsite) is aimed at intermediate-level AI developers and localization engineers who wish to design scalable, automated translation pipelines using both proprietary and open-source LLMs.

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

• Design and deploy translation workflows using modern LLM frameworks and APIs.
• Integrate open-source and commercial models into scalable translation systems.
• Optimize translation quality through fine-tuning, prompt engineering, and automation.
• Implement cost-efficient and compliant translation infrastructure for enterprise environments.

This instructor-led live training, held in Ho Chi Minh City (online or onsite), is tailored for intermediate-level developers seeking to learn how to leverage generative AI with LLMs for diverse tasks and domains.

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

• Define generative AI and explain its underlying mechanisms.
• Describe the transformer architecture that enables LLMs.
• Apply empirical scaling laws to optimize LLMs for specific tasks and constraints.
• Utilize cutting-edge tools and methodologies to train, fine-tune, and deploy LLMs.
• Analyze the opportunities and risks associated with generative AI for society and business.

Master AI integration in Postgres with this instructor-led live training in Ho Chi Minh City. Learn to configure extensions, implement pgvector embeddings, and connect LLMs for real-time insights. Optimize queries and build intelligent systems in a hands-on live-lab environment.

This instructor-led live training in Ho Chi Minh City (online or onsite) is designed for intermediate to advanced AI developers, architects, and product managers seeking to identify and mitigate risks associated with LLM-powered applications. Key risk areas include prompt injection, data leakage, and unfiltered outputs, while the course emphasizes incorporating security controls such as input validation, human-in-the-loop oversight, and output guardrails.

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

• Understand the core vulnerabilities of LLM-based systems.
• Apply secure design principles to LLM app architecture.
• Use tools such as Guardrails AI and LangChain for validation, filtering, and safety.
• Integrate techniques like sandboxing, red teaming, and human-in-the-loop review into production-grade pipelines.

This instructor-led, live training in Ho Chi Minh City (online or onsite) is aimed at intermediate-level to advanced-level professionals who wish to customize pre-trained models for specific tasks and datasets.

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

• Understand the principles of fine-tuning and its applications.
• Prepare datasets for fine-tuning pre-trained models.
• Fine-tune large language models (LLMs) for NLP tasks.
• Optimize model performance and address common challenges.

This instructor-led live training in Ho Chi Minh City (online or onsite) is intended for intermediate-level data scientists, AI developers, and enthusiasts seeking to utilize LLMs for various NLP tasks and to create novel, diverse content for specific purposes.

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

• Establish a development environment with LLMs and essential tools.
• Expertly perform NLU and NLI tasks with LLMs.
• Extract, infer, and utilize knowledge graphs effectively.
• Generate and manage dialogues using LLMs for conversational applications.
• Evaluate content quality and diversity generated by LLMs and generative AI.
• Apply ethical principles, ensuring fairness and responsible use of LLMs.

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 in Ho Chi Minh City (online or onsite) is aimed at observability and SRE engineers who want to integrate LLMs and AI into their monitoring, alerting, and incident analysis workflows.

This instructor-led, live training in Ho Chi Minh City (online or onsite) is aimed at IT support professionals who wish to use AI tools and automation platforms to streamline support processes, standardize responses, and reduce manual documentation effort.

This instructor-led live training in Ho Chi Minh City (online or onsite) is designed for intermediate-level engineers and architects who want to leverage Tencent Hunyuan to deploy large and MoE models with lower latency, increased throughput, and improved cost control.

By the end of this training, participants will be able to: explain production deployment patterns for Hunyuan, optimize inference performance, implement batching and quantization strategies, and plan scalable serving operations.

This instructor-led live training in Ho Chi Minh City (online or onsite) is designed for intermediate-level developers, technical product teams, and AI practitioners who wish to use Hunyuan models to build multimodal applications for generating and delivering image, 3D, and video content.

By the end of this training, participants will be able to: develop prompt-based workflows, generate and review multimodal assets, serve outputs through apps or APIs, and integrate Hunyuan capabilities into enterprise product ecosystems.

Course objectives transform software / AI engineers into legal engineers — the professionals who can actually build AI for legal work (eDiscovery, review, investigations).

In two days, participants will construct the full core stack: ingest and extract messy real-world legal data, search and retrieve it, add retrieval-augmented generation (RAG) with citations, keep it private on a local model and prove it, run a defensible AI review with court-ready metrics, and package the result for deployment.

This instructor-led, live training in Ho Chi Minh City (online or onsite) is aimed at beginner-level / intermediate-level / advanced-level AI professionals who wish to use MCP to connect AI assistants with external tools, data, and enterprise services.

By the end of this training, participants will be able to: explain MCP concepts, identify key architecture components, set up a basic integration, and apply security good practices.

This instructor-led, live training in Ho Chi Minh City (online or onsite) is aimed at intermediate-level enterprise architects who wish to use Model Context Protocol to design secure, scalable, and governable agent integration platforms for enterprise environments.

By the end of this training, participants will be able to: explain MCP architecture and enterprise patterns, design secure integration platforms, apply governance and access controls, and evaluate deployment and scaling options.

This instructor-led live training in Ho Chi Minh City (available online or onsite) is designed for intermediate-level developers, architects, and platform engineers aiming to use MCP to construct reliable servers and clients for enterprise deployment and operations.

By the end of this training, participants will be able to: explain practical MCP architecture, build production-ready integrations, deploy and monitor MCP services, and apply patterns for versioning, resilience, and support.

This instructor-led live training in Ho Chi Minh City (available online or onsite) is designed for intermediate-level IT leaders, compliance professionals, security teams, and enterprise architects who wish to leverage sovereign AI principles and governance practices to create AI environments that protect sensitive data, fulfill localization requirements, and reduce vendor lock-in.

By the end of this training, participants will be able to explain sovereign AI concepts, assess hosting and governance options, define controls for prompts and logs, and develop a practical adoption roadmap.