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 (available online or on-site) is designed for intermediate professionals aiming to acquire practical expertise in adapting AI models for essential financial tasks.

By the conclusion of this program, learners will be equipped to:

• Understand the foundational aspects of fine-tuning for finance-specific applications.
• Apply pre-trained models to specialized financial duties.
• Use advanced methods for detecting fraud, assessing risks, and generating financial advice.
• Maintain compliance with key financial regulations like GDPR and SOX.
• Embed data security and ethical AI practices into financial solutions.

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.

Gain expertise in generative media production using Vertex AI models like Imagen and Veo. This instructor-led session in Romania features practical labs for generating images, video, and audio, empowering professionals to construct efficient workflows for creative and enterprise marketing initiatives.

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.

This live training in Romania empowers practitioners to architect, construct, and optimize multimodal LLM workflows within Vertex AI. The curriculum explores Gemini models, long-context reasoning, and the integration of text, audio, and image data into unified pipelines. Through practical hands-on labs, participants gain the readiness to apply these skills in real-world environments.

This live, instructor-led training in Romania focuses on designing grounded agents with Vertex AI Agent Builder and RAG. Participants will learn to implement pipelines, securely integrate enterprise data, and assess agent performance. It is an ideal choice for intermediate practitioners developing intelligent solutions.

This instructor-led course in Romania prepares developers to embed Gemini models into mobile and web applications using Firebase and SDKs. The curriculum addresses environment configuration, multimodal input processing, and the deployment of AI-driven features into production settings, adhering to industry best practices.

This instructor-led training in Romania focuses on enterprise MLOps practices, real-time monitoring, and compliance strategies within Vertex AI. Participants will develop practical skills in constructing pipelines, grounding Gen AI models, and enforcing data residency controls to guarantee operational excellence.