Large Language Models (LLMs) Training in Bangkok

This instructor-led live training in Bangkok (online or onsite) is tailored for senior management professionals seeking to grasp the nature of LLMs, assess their impact on business operations, and leverage AI tools like ChatGPT, Microsoft Copilot, and Grok for practical tasks such as content generation, data consolidation, and strategic decision-making.

Following this training, participants will be able to:

• Gain a clear understanding of LLMs and how platforms like ChatGPT and Copilot operate.
• Utilize prompting strategies to extract reliable and actionable results from LLMs.
• Evaluate practical applications, including email composition, document summarization, and productivity automation.
• Identify strategic areas for AI investment and adoption.

This live, instructor-led training session in Bangkok, available online or onsite, is tailored for senior leadership teams aiming to comprehend the strategic value of LLMs and enterprise AI tools. Participants will delve into integrating these tools into high-level workflows, improving prompt crafting, and evaluating potential for productivity gains and ROI through AI implementation.

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

• Understand the operational mechanics of LLMs and how tools like ChatGPT and Copilot utilize them.
• Utilize prompt-based interactions to streamline and accelerate task completion.
• Deploy AI tools in real-world contexts such as email drafting, report summarization, and agreement analysis.
• Assess strategic benefits, constraints, and licensing factors relevant to LLM adoption.

This live, instructor-led training in Bangkok—delivered online or on-site—is designed for intermediate to advanced AI researchers, data scientists, and developers who aim to understand, fine-tune, and implement Meta AI's Large Language Models for various NLP applications.

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

• Comprehend the architecture and functioning of Meta AI's Large Language Models.
• Set up and fine-tune Meta AI LLMs for specific use cases.
• Implement LLM-based applications, including text summarization, chatbots, and sentiment analysis.
• Optimize and deploy large language models with efficiency.

This live, instructor-led training in Bangkok (available online or onsite) targets intermediate-level AI professionals, business analysts, and technology leaders who want to comprehend the principles of generative AI and the role of LLMs in business contexts. The course covers transformers, prompt engineering, and the ethical dimensions of deploying these models for practical solutions.

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

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

This live, instructor-led training covers Bangkok (available online or onsite) and is tailored for intermediate-level AI professionals, ethicists, data scientists, engineers, policy makers, and stakeholders who aim to comprehend and navigate the ethical complexities of LLMs.

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

• Identifying the specific ethical challenges and issues tied to LLMs.
• Applying robust ethical frameworks and principles to LLM deployment.
• Evaluating the societal footprint of LLMs and addressing potential risks.
• Creating strategies that promote responsible AI development and usage.

This live, instructor-led training session in Bangkok (online or onsite) is designed for intermediate-level NLP practitioners, data scientists, content creators, translators, and global businesses seeking to utilize LLMs for language translation and the creation of multilingual content.

Upon completion, participants will be capable of:

• Understanding the core principles of cross-lingual learning and translation using LLMs.
• Implementing LLMs to translate content between different languages.
• Creating and managing multilingual datasets for LLM training purposes.
• Developing strategies to uphold consistency and quality in translation processes.

This instructor-led live training in Bangkok (online or onsite) targets intermediate-level financial analysts, data scientists, and investment professionals aiming to apply LLMs to financial market analysis and prediction.

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

• Understand how LLMs are applied in financial market analysis.
• Use LLMs to process financial news, reports, and data for actionable market insights.
• Create predictive models for stock prices, market trends, and economic indicators.
• Incorporate LLM insights into investment decision-making processes.

This instructor-led, live training in Bangkok (online or onsite) targets intermediate-level environmental scientists, researchers, data analysts, and policy makers or environmental advocates looking to apply LLMs in environmental modeling and analysis.

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

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

Tailored for intermediate-level VR and AR developers, game designers, and AI engineers, this instructor-led live training (delivered online or onsite) explores how to integrate LLMs into VR and AR applications to foster more engaging and responsive environments.

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

• Understand the impact of LLMs on creating immersive VR and AR experiences.
• Develop VR and AR applications that harness LLMs for interactive dialogues and content generation.
• Integrate LLMs with VR and AR development tools to maximize user engagement.
• Apply industry best practices for designing AI-driven narratives and interactions in virtual spaces.

This instructor-led live training, offered in Bangkok (either online or onsite), is tailored for intermediate-level data scientists, machine learning engineers, and software developers seeking to deploy Large Language Models (LLMs) on multimodal data for advanced AI initiatives.

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

• Comprehending the underlying principles of multimodal learning with LLMs.
• Utilizing LLMs to handle and interpret text, image, and audio data.
• Engineering applications that harness the power of multimodal data integration.
• Measuring and analyzing the performance of multimodal LLM systems.

This instructor-led, live training, delivered Bangkok (either online or onsite), is tailored for intermediate-level cybersecurity professionals and data scientists aiming to harness LLMs to bolster cybersecurity measures and threat intelligence.

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

• Comprehend the role of LLMs in cybersecurity.
• Implement LLMs for threat detection and analysis.
• Leverage LLMs for security automation and response.
• Integrate LLMs with established security infrastructure.

This live, instructor-led training in Bangkok (delivered online or onsite) is tailored for intermediate-level data scientists and business analysts who want to leverage large language models (LLMs) to predict trends and behaviors in different industries.

By the end of this session, attendees will be able to:

• Comprehend the basics of LLMs and their contribution to predictive analytics.
• Apply LLMs to analyze data and predict outcomes in various sectors.
• Critically evaluate the performance of LLM-based predictive models.
• Connect LLMs with current data processing infrastructure.

This instructor-led, live training in Bangkok (online or onsite) is aimed at intermediate-level data scientists who wish to gain a comprehensive understanding and practical skills in both Large Language Models (LLMs) and Reinforcement Learning (RL).

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

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

This instructor-led, live training session, available Bangkok (whether online or on-site), is tailored for intermediate-level content creators, marketers, and educational technologists who aim to leverage the capabilities of Large Language Models (LLMs) to produce high-quality, diverse, and engaging content across a wide range of domains.

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

• Grasp the core capabilities of LLMs and their specific applications in content generation.
• Configure and utilize LLMs to create various types of content.
• Implement best practices for crafting prompts and fine-tuning LLMs to achieve desired outputs.
• Assess the quality of AI-generated content and refine it to suit specific audiences.
• Investigate advanced techniques for creating creative and multi-modal content using LLMs.

This live, instructor-led session in Bangkok (online or onsite) is designed for educators, EdTech professionals, and researchers of varying expertise levels who aim to utilize LLMs to craft personalized educational experiences.

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

• Comprehend the structural design and functional capabilities of LLMs.
• Recognize key opportunities for personalizing educational content using LLMs.
• Create adaptive learning platforms that employ LLMs for content personalization.
• Execute LLM-based strategies to enhance student engagement and optimize learning results.
• Evaluate the impact of LLMs in educational environments and make data-driven decisions for continuous improvement.

This instructor-led live training, conducted in Bangkok (either online or onsite), is tailored for intermediate-level ML practitioners and AI developers who aim to customize and deploy open-weight models such as LLaMA, Mistral, and Qwen for targeted business or internal operations.

Upon completing this training, participants will be capable of:

• Understanding the landscape and key differences among open-source LLMs.
• Preparing datasets and configuring fine-tuning settings for models like LLaMA, Mistral, and Qwen.
• Running fine-tuning pipelines with Hugging Face Transformers and PEFT.
• Evaluating, saving, and deploying refined models in secure environments.

This instructor-led, live training in Bangkok (delivered online or onsite) targets beginner to intermediate-level software developers and data scientists seeking to implement LLMs within speech recognition and synthesis systems.

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

• Understanding the pivotal role LLMs play in speech technologies.
• Implementing LLMs to drive accurate speech recognition and natural-sounding speech synthesis.
• Integrating LLMs with speech recognition engines and synthesis tools.
• Evaluating and enhancing the performance of speech systems utilizing LLMs.
• Remaining informed about contemporary trends and future pathways in speech technology.

This live, instructor-led training, delivered in Bangkok (either online or onsite), targets beginner to intermediate-level customer support and IT professionals aiming to leverage LLMs for creating responsive and intelligent customer support chatbots.

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

• Comprehending the basics and structural framework of Large Language Models (LLMs).
• Designing and embedding LLMs into customer support ecosystems.
• Improving chatbot responsiveness and the quality of user engagement.
• Managing ethical implications while maintaining compliance with industry norms.
• Deploying and overseeing LLM-driven chatbots for real-world scenarios.

This live, instructor-led training, offered in Bangkok (either online or on-site), is designed for intermediate data scientists and AI engineers who aim to fine-tune large language models with enhanced affordability and efficiency. The curriculum focuses on techniques such as LoRA, Adapter Tuning, and Prefix Tuning.

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

• Comprehend the theory driving parameter-efficient fine-tuning approaches.
• Implement LoRA, Adapter Tuning, and Prefix Tuning utilizing Hugging Face PEFT.
• Evaluate the performance and cost implications of PEFT methods against full fine-tuning.
• Deploy and scale fine-tuned LLMs with lower demands on compute and storage resources.

This live, instructor-led training in Bangkok (available online or on-site) targets intermediate to advanced machine learning engineers, AI developers, and data scientists seeking to efficiently fine-tune large models for specific tasks and customizations using QLoRA.

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

• Comprehend the theory behind QLoRA and quantization methods for LLMs.
• Implement QLoRA for fine-tuning large language models in domain-specific contexts.
• Optimize fine-tuning performance on constrained hardware using quantization.
• Deploy and evaluate fine-tuned models effectively in real-world applications.

This instructor-led live training, delivered online or onsite, is tailored for intermediate-level data and marketing professionals seeking to apply LLMs to the analysis and interpretation of public sentiment across various text mediums, such as social media updates, product reviews, and customer feedback.

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

• Understand the foundational concepts of sentiment analysis and how LLMs are applied within this domain.
• Preprocess and optimize datasets specifically for sentiment analysis workflows.
• Train and fine-tune LLMs to ensure accurate representation of sentiment in textual data.
• Monitor and analyze sentiment in real-time from social media channels and other text-based sources.
• Translate sentiment analysis results into actionable insights for business strategy and decision-making.

This instructor-led, live training in Bangkok (delivered online or onsite) is tailored for intermediate-level software developers and technical writers who aim to utilize LLMs to enhance their coding efficiency and generate detailed, comprehensive documentation.

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

• Comprehend the significance of LLMs in automating code generation and software documentation.
• Apply LLMs to develop accurate and efficient code snippets and documentation.
• Incorporate LLMs into their software development lifecycle to achieve higher productivity.
• Sustain high-quality documentation standards via automated tooling.
• Address ethical dimensions and follow best practices for AI usage in software development.

This instructor-led, live training, delivered in Bangkok (either online or onsite), is specifically designed for intermediate-level business professionals and data analysts looking to utilize the power of LLMs for extracting critical business insights.

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

• Understand the fundamentals and applications of LLMs in the context of business intelligence.
• Apply LLMs to analyze large datasets and extract meaningful insights.
• Integrate LLM-driven analytics into strategic business decision-making processes.
• Evaluate the ethical considerations and best practices for using LLMs in business.
• Anticipate future trends in AI and prepare for the evolving landscape of business intelligence.

This live, instructor-led training session, conducted in Bangkok (either online or on-site), is designed for intermediate to advanced developers and data scientists seeking to master LlamaIndex for the creation of innovative LLM-driven applications.

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

• Install and configure LlamaIndex to integrate effectively with LLMs.
• Process and interrogate custom datasets via LlamaIndex to augment LLM capabilities.
• Architect and build complex applications that harness the power of both LlamaIndex and LLMs.
• Implement industry best practices when working with LLMs and LlamaIndex.
• Address the ethical nuances associated with the deployment of LLM-powered solutions.

This live, instructor-led training session in Bangkok, offered online or on-site, targets intermediate-level AI researchers, machine learning specialists, and data scientists looking to leverage LlamaIndex to enhance AI model performance, ensuring improved accuracy and reliability in varied applications.

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

• Comprehend the fundamental principles and components of LlamaIndex.
• Ingest and structure data optimally for LLM usage.
• Deploy context augmentation to elevate AI model output quality.
• Integrate LlamaIndex into current AI ecosystems and workflows.

This instructor-led, live training in Bangkok (online or onsite) is tailored for intermediate-level professionals seeking to leverage prompt engineering and few-shot learning to optimize LLM performance for real-world applications.

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

• Comprehend the core principles of prompt engineering and few-shot learning.
• Design effective prompts for a range of NLP tasks.
• Utilize few-shot techniques to adapt LLMs with limited data.
• Optimize LLM performance for practical use cases.

This live, instructor-led training (available online or onsite) is tailored for advanced engineers, AI specialists, and localization leads looking to deploy Large Language Model (LLM) systems for automated translation, quality evaluation, and enterprise governance.

Upon completion, participants will be able to:

• Develop enterprise-grade LLM localization pipelines by integrating open-source and proprietary models.
• Implement automated QA workflows and quality metrics to maintain 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 Bangkok empowers data engineers to seamlessly integrate LLMs into SQL environments. Learners will develop natural language pipelines, apply AI-driven optimization, and design secure enterprise workflows for automated data analysis.

This live training in Bangkok empowers practitioners to design, construct, and optimize multimodal LLM workflows within Vertex AI. The curriculum encompasses Gemini models, advanced long-context reasoning, and the integration of text, audio, and image data. Practical labs are included to ensure readiness for real-world implementation.

Designed for intermediate-level AI developers and localization engineers, this live, instructor-led training (available online or onsite) focuses on creating scalable, automated translation pipelines that utilize both proprietary and open-source LLMs.

By the conclusion of this training, participants will possess the capability 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 live, instructor-led training in Bangkok, offered online or on-site, targets intermediate-level developers aiming to learn how to apply generative AI and LLMs across various tasks and domains.

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

• Explaining the nature and operation of generative AI.
• Describing the transformer architecture that underpins LLMs.
• Applying empirical scaling laws to optimize LLMs for distinct tasks and constraints.
• Employing state-of-the-art tools and methods for training, fine-tuning, and deploying LLMs.
• Discussing the opportunities and risks generative AI presents to society and business.

Gain mastery over AI integration in Postgres through this live, instructor-led training in Bangkok. You will learn to configure extensions, apply pgvector embeddings, and connect LLMs for real-time insights. Optimize query performance and build intelligent systems in a hands-on live-lab setting.

This live, instructor-led training in Bangkok (online or onsite) is designed for intermediate to advanced AI developers, architects, and product managers aiming to identify and mitigate risks associated with LLM-powered applications. It addresses threats such as prompt injection, data leakage, and unfiltered output, while guiding the integration of security controls like input validation, human-in-the-loop oversight, and output guardrails.

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

• Understand the core vulnerabilities of LLM-based systems.
• Apply secure design principles to LLM app architecture.
• Utilize 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 Bangkok (online or onsite) is tailored for intermediate to advanced professionals looking to customize pre-trained models for specific tasks and datasets.

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

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

This instructor-led live training in Bangkok (delivered online or onsite) is tailored for intermediate-level data scientists, AI developers, and enthusiasts seeking to utilize LLMs for various NLP tasks and to create novel, diverse content for different 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 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 training in Bangkok, offered both online and onsite, is tailored for observability and SRE engineers seeking to embed LLMs and AI into their monitoring, alerting, and incident analysis operations.

This live, instructor-led training in Bangkok (available online or onsite) is tailored for IT support professionals looking to harness AI tools and automation platforms to enhance support efficiency, standardize responses, and decrease manual documentation tasks.

This instructor-led live training, conducted in Bangkok (either online or onsite), is tailored for intermediate-level engineers and architects. It focuses on leveraging Tencent Hunyuan to deploy large and MoE models with improved latency, higher throughput, and enhanced cost control.

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

This live, instructor-led training in Bangkok (delivered online or on-site) is designed for intermediate developers, technical product teams, and AI professionals. It focuses on utilizing Hunyuan models to develop multimodal applications for the generation and delivery of images, 3D models, and videos.

By the end of the session, participants will be able to construct prompt-driven workflows, produce and evaluate multimodal assets, serve results through applications or APIs, and integrate Hunyuan's capabilities into enterprise product stacks.

Course goals: transform software and AI engineers into legal engineers—professionals who can effectively build AI for legal tasks such as eDiscovery, review, and investigations.

In two days, participants will construct the full core stack: ingesting and extracting messy real-world legal data, searching and retrieving information, implementing retrieval-augmented generation (RAG) with citations, maintaining privacy using local models with proof, executing defensible AI reviews with court-ready metrics, and packaging the result for deployment.

This instructor-led, live training in Bangkok (online or onsite) caters to AI professionals across beginner, intermediate, and advanced levels seeking to use MCP to connect AI assistants with external tools, data, and enterprise services.

By the conclusion of this program, participants will be able to articulate MCP concepts, recognize critical architectural components, establish basic integrations, and apply security best practices.

Designed for intermediate-level enterprise architects, this live training in Bangkok (delivered online or onsite) focuses on utilizing the Model Context Protocol to construct secure, scalable, and governable agent integration platforms for enterprise settings.

By the end of the session, 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 live, instructor-led training in Bangkok (online or onsite) is designed for intermediate developers, architects, and platform engineers looking to use MCP to build dependable servers and clients for enterprise deployment and operations.

By the end of this session, participants will be capable of: explaining MCP architecture in real-world scenarios, creating production-ready integrations, deploying and monitoring MCP services, and implementing versioning, resilience, and support frameworks.

This live, instructor-led training in Bangkok (offered online or onsite) is designed for intermediate IT leaders, compliance experts, security teams, and enterprise architects seeking to leverage sovereign AI principles and governance practices. It focuses on crafting AI environments that secure sensitive data, comply with localization rules, and mitigate vendor lock-in risks.

By the conclusion of this training, participants will be able to: explain sovereign AI concepts, assess hosting and governance alternatives, establish controls for prompts and logs, and formulate a realistic adoption roadmap.