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

This instructor-led, live training in Denmark (online or onsite) is targeted at advanced machine learning professionals aiming to excel in cutting-edge transfer learning techniques and apply them to complex real-world scenarios.

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

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

This instructor-led, live training in Denmark (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 completion, participants will be equipped to:

• Architect and execute continual learning workflows for live models.
• Address catastrophic forgetting through strategic training techniques and memory management.
• Automate monitoring systems and update triggers in response to model drift or data variations.
• Embed model update strategies into established CI/CD and MLOps pipelines.

This live, instructor-led training in Denmark (delivered online or on-site) is tailored for intermediate-level developers, data scientists, and technical professionals seeking to utilize Google Vertex AI for building and deploying custom AI models.

By the conclusion of this program, participants will possess the ability to:

• Comprehend the extensive capabilities and features of Google Vertex AI.
• Configure and set up the Google Vertex AI environment.
• Develop and train customized AI models using Vertex AI.
• Manage the deployment of AI models on the Google Cloud Platform.
• Utilize Vertex AI's monitoring and optimization tools to enhance model performance.
• Adopt best practices for both the development and deployment phases of AI models.

This live, instructor-led training, conducted Denmark (either online or on-site), is designed for advanced professionals aiming to deploy fine-tuned models with high reliability and efficiency.

Following this training, participants will be able to:

• Navigate the complexities of deploying fine-tuned models into production environments.
• Use tools like Docker and Kubernetes to containerize and deploy models.
• Set up effective monitoring and logging for live models.
• Optimize models for low latency and high scalability in practical scenarios.

This instructor-led, live training session in Denmark (conducted either online or on-site) is designed for intermediate-level professionals aiming to acquire practical skills in adapting AI models for vital financial responsibilities.

By the conclusion of this training, participants will have the ability to:

• Master the basics of fine-tuning for financial applications.
• Leverage pre-trained models for specialized financial tasks.
• Apply methods for fraud detection, risk analysis, and automated financial advice.
• Ensure alignment with financial regulations such as GDPR and SOX.
• Incorporate data security measures and ethical AI practices into financial systems.

This instructor-led, live training held in Denmark (available online or onsite) is tailored for intermediate to advanced professionals seeking to adapt pre-trained models for specific tasks and datasets.

By the end of the session, participants will be able to:

• Comprehend the fundamental principles of fine-tuning and its real-world applications.
• Prepare and structure datasets for the fine-tuning of pre-trained models.
• Execute fine-tuning on Large Language Models (LLMs) to handle NLP tasks.
• Optimize model output and resolve frequent technical challenges.

This live, instructor-led training in Denmark (online or onsite) targets intermediate-level developers and AI practitioners 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 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 Denmark (online or onsite) targets developers, cloud engineers, and technical product teams at various skill levels. It is designed for those seeking to use Google Cloud generative AI tools to build and assess practical AI applications.

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

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

Upon completion, participants will be able to: explain core AI agent concepts, build agents using Vertex AI, connect agents to external tools and data sources, and deploy agents for specific business use cases.