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

This instructor-led, live training in South Korea (online or onsite) is aimed at advanced-level machine learning professionals who wish to master cutting-edge transfer learning techniques and apply them to complex real-world problems.

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

• Understand advanced concepts and methodologies in transfer learning.
• Implement domain-specific adaptation techniques for pre-trained models.
• Apply continual learning to manage evolving tasks and datasets.
• Master multi-task fine-tuning to enhance model performance across tasks.

This instructor-led, live training in South Korea (online or onsite) is designed for advanced-level AI maintenance engineers and MLOps professionals seeking to establish robust continual learning pipelines and effective update strategies for deployed, fine-tuned models.

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

• Design and implement continual learning workflows for deployed models.
• Mitigate catastrophic forgetting through effective training and memory management.
• Automate monitoring and update triggers in response to model drift or data changes.
• Integrate model update strategies into existing CI/CD and MLOps pipelines.

This instructor-led, live training in South Korea (online or onsite) is designed for intermediate-level developers, data scientists, and technology professionals who want to leverage Google Vertex AI for creating and deploying custom AI models.

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

• Gain a clear understanding of Google Vertex AI's capabilities and features.
• Set up and configure the Google Vertex AI environment.
• Develop and train custom AI models using Vertex AI.
• Deploy and manage AI models on Google Cloud Platform.
• Use Vertex AI's tools to monitor and optimize model performance.
• Apply best practices for AI model development and deployment.

This instructor-led, live training in South Korea (online or onsite) is aimed at advanced-level professionals who wish to deploy fine-tuned models reliably and efficiently.

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

• Understand the challenges of deploying fine-tuned models into production.
• Containerize and deploy models using tools like Docker and Kubernetes.
• Implement monitoring and logging for deployed models.
• Optimize models for latency and scalability in real-world scenarios.

This instructor-led, live training in South Korea (online or on-site) is aimed at intermediate-level professionals who wish to gain practical skills in customizing AI models for critical financial tasks.

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

• Understand the fundamentals of fine-tuning for finance applications.
• Leverage pre-trained models for domain-specific tasks in finance.
• Apply techniques for fraud detection, risk assessment, and financial advice generation.
• Ensure compliance with financial regulations such as GDPR and SOX.
• Implement data security and ethical AI practices in financial applications.

This instructor-led live training in South Korea (online or onsite) is designed for intermediate to advanced professionals seeking 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 South Korea (online or onsite) is aimed at intermediate-level developers and AI practitioners who wish to implement fine-tuning strategies for large models without the need for extensive computational resources.

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

• Understand the principles of Low-Rank Adaptation (LoRA).
• Implement LoRA for efficient fine-tuning of large models.
• Optimize fine-tuning for resource-constrained environments.
• Evaluate and deploy LoRA-tuned models for practical applications.

This instructor-led, live training in South Korea (online or in-person) targets beginner, intermediate, and advanced developers, cloud engineers, and technical product teams who intend to use Google Cloud generative AI tools to build and evaluate practical AI applications.

By the end of this training, participants will be able to: understand Google Cloud generative AI services, create prompts and workflows, build simple applications using Vertex AI, and apply responsible AI practices.

This instructor-led live training, offered in South Korea (online or onsite), is designed for developers and technical practitioners from beginner to advanced levels who intend to use Google Cloud to build AI agents that 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 sources, and deploy agents for specific business use cases.