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

This instructor-led, live training in Romania (online or onsite) targets advanced machine learning professionals aiming to master state-of-the-art transfer learning techniques and apply them to complex real-world scenarios.

Upon completing this training, participants will be able to:

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

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

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

• Designing and implementing continuous learning workflows for deployed models.
• Reducing catastrophic forgetting through appropriate training techniques and memory management.
• Automating monitoring and update triggers in response to model drift or data shifts.
• Integrating model update strategies into existing CI/CD and MLOps pipelines.

This instructor-led, live training in Romania (online or onsite) is designed for intermediate-level developers, data scientists, and tech professionals who want to utilize 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 Romania (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 Romania (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 Romania (online or onsite) targets intermediate to advanced professionals who want 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 Romania (online or onsite) is designed for intermediate-level developers and AI practitioners who aim to implement fine-tuning strategies for large models without requiring 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 Romania (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.

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

Upon completion, participants will be able to: explain AI agent concepts, construct agents using Vertex AI, integrate agents with external tools and data, and deploy agents for business applications.