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

This instructor-led, live training in Greece (online or onsite) is aimed at advanced-level 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 Greece (online or onsite) is designed for advanced 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 Greece (online or onsite) is aimed at intermediate-level developers, data scientists, and tech professionals who wish to leverage 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 Greece (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 live, instructor-led training in Greece (available online or on-site) is tailored for intermediate-level professionals aiming to acquire practical skills in customizing AI models for critical financial duties.

By the end of this training, participants will be capable of:

• Comprehending the fundamentals of fine-tuning for finance applications.
• Applying pre-trained models to specific tasks within the financial domain.
• Employing techniques for fraud detection, risk assessment, and generating financial advice.
• Ensuring adherence to financial regulations such as GDPR and SOX.
• Embedding data security and ethical AI practices into financial applications.

This instructor-led, live training in Greece (online or onsite) is designed for 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:

• Grasp 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 session in Greece (online or onsite) is designed for intermediate-level software developers and AI specialists aiming to implement fine-tuning strategies for large models without the need for heavy computational resources.

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

• Gaining insight into the core principles of Low-Rank Adaptation (LoRA).
• Applying LoRA to efficiently fine-tune large models.
• Optimizing fine-tuning processes for resource-constrained settings.
• Assessing and deploying LoRA-enhanced models for real-world applications.

This instructor-led, live training in Greece (online or onsite) targets 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 using Vertex AI models like Imagen and Veo. This instructor-led course in Greece features practical labs for generating images, video, and audio, enabling professionals to construct production-ready workflows for creative and enterprise marketing initiatives.

This live, instructor-led training in Greece (delivered online or on-site) targets developers and technical practitioners of all levels seeking to use Google Cloud to build AI agents that automate tasks, utilize tools, and interact with business data.

By the conclusion of the training, participants will be able to: describe AI agent concepts, construct agents using Vertex AI, link agents to external tools and data sources, and implement agents for various business scenarios.

This live session in Greece guides practitioners in designing, constructing, and optimizing multimodal LLM workflows within Vertex AI. The curriculum explores Gemini models, long-context reasoning, and the integration of text, audio, and image data into cohesive pipelines. Practical labs ensure participants are prepared for real-world implementation.

This live, instructor-led training in Greece focuses on designing grounded agents using Vertex AI Agent Builder and RAG. Participants will learn to build pipelines, securely integrate enterprise data, and evaluate agent behavior. It is ideal for intermediate practitioners looking to develop intelligent solutions.

This instructor-led training in Greece enables developers to seamlessly embed Gemini models into mobile and web applications using Firebase and SDKs. The curriculum covers essential environment setup, advanced multimodal input handling, and the strategic deployment of AI-driven features to production environments while adhering to industry best practices.

This instructor-led training at Greece focuses on enterprise MLOps, real-time monitoring, and compliance strategies for Vertex AI. Participants will develop practical skills in constructing pipelines, grounding Generative AI models, and enforcing data residency controls to achieve operational excellence.