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

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

Upon completing this training, participants will be able to:

• Design and implement continual learning workflows for deployed models.
• Address catastrophic forgetting through effective 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 the Netherlands (online or onsite) is designed for intermediate-level developers, data scientists, and tech professionals who want to harness Google Vertex AI to create and deploy custom AI models.

Upon completing this training, participants will be able to:

• Grasp 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 the Google Cloud Platform.
• Leverage Vertex AI's tools for monitoring and optimizing model performance.
• Apply best practices for AI model development and deployment.

This instructor-led, live training in the Netherlands (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 the Netherlands (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 the Netherlands (online or onsite) is designed 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 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 live, instructor-led training the Netherlands (online or in-person) is designed for intermediate developers and AI practitioners who aim to implement fine-tuning strategies for large models without the need for substantial computational resources.

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

• Grasp the fundamental principles of Low-Rank Adaptation (LoRA).
• Apply LoRA for the efficient fine-tuning of large models.
• Optimize fine-tuning processes within resource-constrained settings.
• Assess and deploy models fine-tuned with LoRA for real-world applications.

This instructor-led, live training located in the Netherlands (online or onsite) targets developers, cloud engineers, and technical product teams at beginner, intermediate, or advanced levels who aim to utilize 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's generative AI services, craft effective prompts and workflows, construct simple applications using Vertex AI, and apply responsible AI practices.

This live, instructor-led training in the Netherlands (available online or on-site) is designed for developers and technical practitioners across beginner, intermediate, and advanced levels who intend to utilise Google Cloud to build AI agents that can automate tasks, operate tools, and interact with business data.

By the conclusion of this programme, participants will be capable of: explaining core AI agent concepts, constructing agents using Vertex AI, linking agents to external tools and data sources, and deploying agents to serve practical business needs.