Advanced Fine-Tuning & Prompt Management in Vertex AI Training Course

This live, instructor-led program in Thailand (delivered online or onsite) is designed for advanced machine learning professionals seeking to excel in cutting-edge transfer learning and apply these skills to complex industry problems.

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

• Grasp the sophisticated concepts and techniques underpinning transfer learning.
• Deploy domain-specific adaptation methods for pre-trained architectures.
• Leverage continual learning to address evolving task requirements and data streams.
• Enhance cross-task model performance through advanced multi-task fine-tuning.

This live, instructor-led training in Thailand (offered online or on-site) targets advanced AI maintenance engineers and MLOps professionals seeking to deploy robust continuous learning pipelines and effective updating strategies for their fine-tuned, production models.

Following this training, participants will be capable of:

• Designing and executing continuous learning workflows for models in production.
• Mitigating catastrophic forgetting through effective training and memory management.
• Automating monitoring and update triggers based on model drift or data evolution.
• Embedding model update strategies within existing CI/CD and MLOps pipelines.

This live, instructor-led training conducted in Thailand (available online or onsite) targets intermediate-level developers, data scientists, and technology professionals seeking to utilize Google Vertex AI for the creation and deployment of custom AI models.

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

• Comprehend the full scope of capabilities and features offered by Google Vertex AI.
• Establish and configure the necessary Google Vertex AI environment.
• Construct and train bespoke AI models using the Vertex AI platform.
• Manage and deploy AI models across the Google Cloud Platform.
• Employ Vertex AI's specialized tools for ongoing monitoring and performance optimization.
• Execute best practices throughout the lifecycle of AI model development and deployment.

Available in Thailand, this live, instructor-led session (either online or onsite) is tailored for advanced professionals seeking to deploy fine-tuned models with high reliability and efficiency.

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

• Identify and address the complexities of deploying fine-tuned models in production.
• Containerize and release models utilizing Docker and Kubernetes.
• Set up comprehensive monitoring and logging for active model deployments.
• Enhance model performance for latency and scalability in real-world contexts.

This live, instructor-led training in Thailand (available online or on-site) is designed for intermediate-level professionals aiming to build practical skills in adapting AI models for essential financial functions.

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

• Comprehend the basics of model refinement for financial applications.
• Apply pre-trained models to solve specific financial challenges.
• Use techniques for fraud identification, risk evaluation, and generating financial advice.
• Ensure adherence to financial regulations such as GDPR and SOX.
• Embed data security and ethical AI practices into financial systems.

This instructor-led, live training in Thailand (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, conducted in Thailand (either online or on-site), targets intermediate-level developers and AI professionals seeking to implement fine-tuning strategies for large models without necessitating heavy computational resources.

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

• Grasp the fundamental principles of Low-Rank Adaptation (LoRA).
• Utilize LoRA for the efficient fine-tuning of large-scale models.
• Optimize fine-tuning workflows for environments with limited resources.
• Evaluate and implement LoRA-adjusted models in practical scenarios.

This instructor-led, live training in Thailand (available online or on-site) targets beginner to advanced-level developers, cloud engineers, and technical product teams aiming to utilize Google Cloud generative AI tools for building and evaluating practical AI applications.

By the end of this session, participants will be capable of: understanding Google Cloud’s generative AI services, crafting effective prompts and workflows, developing simple applications using Vertex AI, and applying responsible AI practices.

This instructor-led, live training in Thailand (online or onsite) is designed for developers and technical practitioners at beginner, intermediate, and advanced levels who intend to use Google Cloud to build AI agents that can automate tasks, utilize tools, and interact with business data.

By the end of this training, participants will be able to: explain AI agent concepts, build agents using Vertex AI, connect agents to external tools and data, and deploy agents for specific business use cases.