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

Designed for advanced-level machine learning professionals seeking to master state-of-the-art transfer learning techniques and apply them to complex real-world challenges, this instructor-led live training is available in both online and onsite formats.

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

• Grasp advanced concepts and methodologies within transfer learning.
• Deploy domain-specific adaptation techniques for pre-trained models.
• Utilize continual learning to handle evolving tasks and datasets effectively.
• Excel in multi-task fine-tuning to boost model performance across various tasks.

This instructor-led, live training in Italy (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 Italy (online or onsite) is tailored for intermediate-level developers, data scientists, and tech professionals who aim to utilize 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 Italy (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 Italy (online or onsite) is designed for intermediate-level professionals seeking to acquire practical skills in customizing AI models for critical financial tasks.

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

• Grasp the fundamentals of fine-tuning AI for financial applications.
• Utilize pre-trained models for domain-specific financial tasks.
• Apply techniques for fraud detection, risk assessment, and generating financial advice.
• Ensure adherence to financial regulations such as GDPR and SOX.
• Implement data security measures and ethical AI practices in financial applications.

This instructor-led live training in Italy (online or onsite) is tailored for intermediate to advanced-level 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 instructor-led, live training in Italy (online or onsite) is designed for intermediate-level developers and AI professionals who wish to implement fine-tuning strategies for large models without needing 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 live, instructor-led training in Italy (online or onsite) is aimed at developers, cloud engineers, and technical product teams at beginner, intermediate, and advanced levels 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.

This live, instructor-led training in Italy (available online or onsite) is designed for developers and technical practitioners at beginner, intermediate, or advanced levels. It focuses on using Google Cloud to develop AI agents that can automate tasks, utilize tools, and interact with business data.

By the conclusion of this program, participants will be able to: articulate AI agent concepts, construct agents using Vertex AI, link agents to external tools and data sources, and deploy agents to address specific business use cases.