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

This instructor-led, live training in Malaysia (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 Malaysia (online or onsite) is designed for advanced-level AI maintenance engineers and MLOps professionals who wish to implement robust continuous 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 continuous 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 Malaysia (online or on-site) is designed for intermediate developers, data scientists, and technology professionals keen on leveraging Google Vertex AI to create and deploy 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 Malaysia (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 Malaysia (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 Malaysia (online or onsite) is designed for intermediate to advanced 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 Malaysia (online or on-site) targets intermediate-level developers and AI professionals seeking 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 core 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 live, instructor-led training in Malaysia (available online or onsite) is intended for beginner, intermediate, and advanced-level developers, cloud engineers, and technical product teams who want 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.

Vertex AI offers a consolidated platform for generative media, featuring models such as Veo for video, Imagen for image generation, Chirp for speech synthesis, and Lyria for music composition. These tools facilitate production-grade workflows tailored for creative, marketing, and enterprise applications.

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

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

• Utilize Vertex AI’s model suite to generate images, videos, audio, and music.
• Incorporate generative media into marketing strategies and product development cycles.
• Refine prompts and tune outputs to ensure high quality and brand alignment.
• Deploy production-ready generative media solutions within enterprise environments.

Course Format

• Engaging lectures and interactive discussions.
• Practical exercises involving Vertex AI generative media models.
• Analysis of real-world case studies and participation in creative project labs.

Customization Options

• For information regarding customized training for this course, please get in touch with us to arrange your requirements.

This instructor-led, live training in Malaysia (online or onsite) is aimed at beginner-level, intermediate-level, and advanced-level developers and technical practitioners who wish to use Google Cloud to build AI agents that can automate tasks, use 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, seamlessly integrating text, audio, and image data into a unified pipeline. Leveraging long context window capabilities and Gemini API parameters, it facilitates advanced applications in planning, reasoning, and cross-modal intelligence.

This instructor-led, live training session (available online or onsite) targets intermediate to advanced practitioners eager 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 multimodal inputs and outputs.
• Implement long-context workflows to facilitate complex reasoning.
• 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 focused on multimodal workflows.
• Project-based exercises covering applied multimodal use cases.

Customization Options

• For customized training arrangements, please contact us directly.

This instructor-led live training in Malaysia (online or onsite) is tailored for software engineers at the beginner to intermediate level, as well as anyone interested in learning how to use Vertex AI to perform and complete machine learning activities.

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

• Understand how Vertex AI works and use it as a machine learning platform.
• Learn about machine learning and NLP concepts.
• Know how to train and deploy machine learning models using Vertex AI.

Vertex AI Agent Builder serves as a no-code/low-code platform designed for constructing grounded agents that merge generative models with retrieval-augmented generation (RAG). This enables teams to swiftly develop agents capable of leveraging enterprise data and search capabilities to deliver precise, context-sensitive responses.

This instructor-led, live training session, available either online or onsite, is tailored for intermediate-level professionals looking to design, configure, and deploy smart agents by utilizing Vertex AI Agent Builder alongside RAG frameworks.

Upon completing this training, participants will be equipped to:

• Architect grounded agent workflows using Agent Builder.
• Establish RAG pipelines incorporating search and vector stores.
• Securely integrate enterprise data sources for retrieval purposes.
• Assess and refine agent performance through testing and metric analysis.

Course Delivery Format

• Engaging lectures coupled with interactive discussions.
• Practical, hands-on labs utilizing Vertex AI Agent Builder and RAG components.
• Project-based activities focused on constructing and polishing agents.

Customization Opportunities

• For bespoke training arrangements, please reach out to us to discuss.

Vertex AI offers streamlined integration options for embedding Gemini models directly into mobile and web applications through Firebase and SDKs. This empowers developers and product teams to deliver AI-driven features at the application level, such as intelligent assistants, multimodal input handling, and personalized user experiences.

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

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

• Configure Firebase and SDKs for Vertex AI integration.
• Embed Gemini-powered features into mobile and web apps.
• Manage multimodal inputs, including text, image, 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 a customized training session for this course, please contact us to arrange.

Vertex AI offers robust, enterprise-grade tools designed to manage the entire machine learning lifecycle, ensuring observability, compliance, and operational excellence. By leveraging live 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 both online and onsite, targets intermediate to advanced professionals seeking to deploy, monitor, and govern Vertex AI models within enterprise settings.

Upon completing this training, participants will be equipped to:

• Establish MLOps pipelines utilizing Vertex AI.
• Monitor and observe models through 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 compliance-focused scenarios.

Customization Options

• For customized training arrangements, please reach out to us to coordinate.