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

This instructor-led, live training Serbia (online or on-site) targets advanced 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 Serbia (online or onsite) is aimed at advanced-level AI maintenance engineers and MLOps professionals who wish 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 Serbia (online or onsite) is tailored for intermediate-level developers, data scientists, and tech professionals who want to utilize Google Vertex AI to build 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 Serbia (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 Serbia (online or onsite) is designed for intermediate-level professionals who want to develop practical skills in customizing AI models for critical financial tasks.

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

• Comprehend the core principles of fine-tuning for financial applications.
• Utilize pre-trained models for finance-specific tasks.
• Apply methods for detecting fraud, assessing risk, and generating financial advice.
• Ensure adherence to financial regulations, including GDPR and SOX.
• Execute data security measures and ethical AI standards within financial applications.

This instructor-led, live training in Serbia (available online or onsite) is designed for intermediate to advanced-level 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 Serbia (online or onsite) targets intermediate-level developers and AI practitioners aiming 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:

• Grasp the principles of Low-Rank Adaptation (LoRA).
• Utilize 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 Serbia (online or onsite) is designed for beginner, intermediate, and advanced-level developers, cloud engineers, and technical product teams seeking 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, develop simple applications using Vertex AI, and implement responsible AI practices.

This instructor-led, live training in Serbia (available online or on-site) is designed for developers and technical practitioners from beginner to advanced levels who want to leverage Google Cloud to build AI agents that automate tasks, utilize tools, and interact with business data.

By the conclusion of this training, participants will be able to: explain AI agent concepts, construct agents using Vertex AI, connect agents to external tools and data, and deploy agents for business use cases.