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

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

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

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

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

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

• Understand the capabilities and features of Google Vertex AI.
• 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.
• Utilize Vertex AI's tools for monitoring and optimizing model performance.
• Implement best practices for AI model development and deployment.

This instructor-led, live training in Taiwan (online or onsite) is designed for advanced-level professionals seeking to deploy fine-tuned models reliably and efficiently.

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

• Grasp the challenges associated with deploying fine-tuned models into production.
• Containerize and deploy models using tools such as Docker and Kubernetes.
• Implement effective monitoring and logging for deployed models.
• Optimize models for latency and scalability in real-world scenarios.

This instructor-led, live training in Taiwan (online or onsite) 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 Taiwan (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 Taiwan (online or on-site) is tailored for intermediate developers and AI practitioners who want to implement fine-tuning strategies for large models without relying on extensive computational resources.

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

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

This instructor-led, live training in Taiwan (online or onsite) is aimed at beginner-level, intermediate-level, and advanced-level developers, cloud engineers, and technical product teams who wish 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 with Vertex AI, and apply responsible AI practices.

Vertex AI delivers a consolidated platform for generative media, featuring models such as Veo for video production, Imagen for image generation, Chirp for speech synthesis, and Lyria for music creation. These tools empower teams to build production-ready workflows tailored for creative, marketing, and enterprise applications.

This instructor-led, live training—available online or on-site—is designed for intermediate to advanced professionals seeking to leverage generative AI for multimedia content creation and deployment via Vertex AI.

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

• Produce images, videos, audio, and music utilizing Vertex AI’s comprehensive suite of models.
• Seamlessly integrate generative media into marketing and product development workflows.
• Refine prompts and fine-tune outputs to ensure high quality and brand consistency.
• Deploy enterprise-grade, production-ready generative media solutions.

Course Format

• Interactive lectures and discussions.
• Practical exercises using Vertex AI’s generative media models.
• Real-world case studies and creative project labs.

Customization Options

• To request customized training for this course, please contact us to make arrangements.

This instructor-led, live training in Taiwan (online or onsite) targets beginner, intermediate, and advanced developers and technical practitioners who wish to use Google Cloud to build AI agents that can automate tasks, utilize tools, and work with business data.

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

Vertex AI offers robust tools for constructing multimodal LLM workflows that seamlessly integrate text, audio, and image data into a unified pipeline. Supported by long context window capabilities and configurable Gemini API parameters, it facilitates the development of advanced applications focused on planning, reasoning, and cross-modal intelligence.

This instructor-led, live training session, available online or onsite, is designed for intermediate to advanced practitioners looking to design, build, and optimize multimodal AI workflows within Vertex AI.

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

• Utilize Gemini models for handling multimodal inputs and outputs.
• Implement long-context workflows to tackle complex reasoning tasks.
• Design pipelines that effectively integrate text, audio, and image analysis.
• Optimize Gemini API parameters to enhance performance and cost efficiency.

Course Format

• Interactive lectures and discussions.
• Hands-on labs featuring multimodal workflows.
• Project-based exercises focused on applied multimodal use cases.

Course Customization Options

• To request a customized training program for this course, please contact us to arrange details.

This instructor-led live training in Taiwan (online or onsite) is designed for beginner to intermediate-level software engineers or anyone eager to learn how to utilize Vertex AI for machine learning activities.

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

• Understand the functionality of Vertex AI and use it as a machine learning platform.
• Explore key concepts in machine learning and NLP.
• Acquire the skills to train and deploy machine learning models using Vertex AI.

Vertex AI Agent Builder offers a no-code or low-code platform for developing grounded agents that merge generative models with retrieval-augmented generation (RAG). This empowers teams to swiftly create agents that leverage enterprise data and search capabilities to deliver accurate, context-aware responses.

This instructor-led, live training (available online or on-site) targets intermediate-level professionals looking to design, configure, and deploy intelligent agents utilizing Vertex AI Agent Builder and RAG methodologies.

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

• Designing grounded agent workflows with Agent Builder.
• Implementing RAG pipelines incorporating search and vector stores.
• Securely integrating enterprise data sources for retrieval.
• Evaluating and refining agent behavior through testing and metrics.

Course Format

• Interactive lectures and discussions.
• Practical labs utilizing Vertex AI Agent Builder and RAG components.
• Project-based exercises to construct and refine agents.

Customization Options

• For customized training requests regarding this course, please reach out to us to arrange.

Vertex AI offers streamlined integration options that allow developers to embed Gemini models directly into mobile and web applications using Firebase and SDKs. This empowers developers and product teams to deliver AI-driven features at the application level, including intelligent assistants, multimodal input processing, and personalized user experiences.

This instructor-led, live training (available online or onsite) is designed for beginner to intermediate practitioners who wish to incorporate Vertex AI Gemini capabilities into their applications using Firebase and related SDKs.

Upon completing this training, participants will be able to:

• Configure Firebase and SDKs for Vertex AI integration.
• Integrate Gemini-powered features into mobile and web applications.
• Process multimodal inputs, such as text, images, and audio, within client applications.
• Deploy and monitor AI features in production environments.

Course Format

• Interactive lectures and discussions.
• Hands-on labs involving Firebase and Vertex AI SDKs.
• Project-based exercises focused on app-level AI features.

Course Customization Options

• To request customized training for this course, please contact us to arrange it.

Vertex AI delivers enterprise-grade solutions designed to manage the entire machine learning lifecycle, encompassing observability, regulatory compliance, and operational excellence. By leveraging real-time monitoring, data residency controls, grounding capabilities, and integrated Gen AI evaluation, Vertex AI is engineered to satisfy the rigorous demands of production-level AI systems.

This instructor-led live training, available either online or onsite, targets intermediate to advanced professionals seeking to deploy, monitor, and govern Vertex AI models within enterprise environments.

Upon completing this training, participants will be equipped to:

• Establish MLOps pipelines utilizing Vertex AI.
• Monitor and observe model performance with real-time insights.
• Apply grounding techniques and evaluation tools specific to Gen AI models.
• Implement robust compliance and governance strategies, including data residency controls.

Course Format

• Interactive lectures and discussions.
• Hands-on labs featuring enterprise-grade Vertex AI tools.
• Case studies and scenarios focused on compliance.

Course Customization Options

• To request customized training for this course, please contact us to make arrangements.