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

This instructor-led, live training in Slovakia (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 Slovakia (online or onsite) targets advanced-level AI maintenance engineers and MLOps professionals who aim to establish resilient continual learning pipelines and effective update strategies for deployed, fine-tuned models.

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

• Designing and implementing continual learning workflows for deployed models.
• Reducing catastrophic forgetting through appropriate training methods and memory management.
• Automating the monitoring and triggering of updates based on model drift or data shifts.
• Integrating model update strategies into existing CI/CD and MLOps pipelines.

This instructor-led, live training in Slovakia (online or onsite) is designed for intermediate-level developers, data scientists, and technology professionals seeking 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 Slovakia (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 Slovakia (online or onsite) is designed for intermediate-level professionals seeking to acquire practical skills in customizing AI models for critical financial operations.

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

• Grasp the core principles of fine-tuning for finance applications.
• Utilize pre-trained models to handle domain-specific financial tasks.
• Deploy techniques for fraud detection, risk assessment, and the generation of financial advice.
• Ensure adherence to financial regulations, including GDPR and SOX.
• Integrate data security and ethical AI practices into financial applications.

This instructor-led, live training in Slovakia (online or onsite) is aimed at intermediate-level 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 Slovakia (online or onsite) targets intermediate developers and AI practitioners who aim to implement fine-tuning strategies for large models without the need for heavy 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 Slovakia (online or onsite) is aimed at beginner-level / intermediate-level / 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.

Develop expertise in generative media production using Vertex AI models like Imagen and Veo. This live training session in Slovakia features practical labs for generating images, video, and audio, empowering professionals to construct scalable workflows for creative and enterprise marketing initiatives.

This instructor-led, live training in Slovakia (online or onsite) caters to developers and technical practitioners of all levels (beginner to advanced) who intend to use Google Cloud to build AI agents capable of automating tasks, leveraging tools, and interacting with business data.

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

This live training in Slovakia empowers practitioners to architect, construct, and optimize multimodal LLM workflows on Vertex AI. The curriculum encompasses Gemini models, long-context reasoning strategies, and pipelines that unify text, audio, and image data. Through hands-on labs, learners achieve practical readiness for real-world applications.

This live, instructor-led session in Slovakia focuses on creating grounded agents using Vertex AI Agent Builder and RAG. Learners will gain the skills to implement pipelines, securely connect enterprise data, and assess agent performance. This course is particularly suited for intermediate professionals developing intelligent solutions.

This instructor-led training in Slovakia empowers developers to integrate Gemini models into mobile and web applications using Firebase and SDKs. The curriculum encompasses environment setup, managing multimodal inputs, and deploying AI-driven features to production environments while adhering to best practices.

This instructor-led training in Slovakia focuses on enterprise MLOps, live monitoring, and compliance strategies for Vertex AI. Participants will develop hands-on skills in constructing pipelines, grounding Gen AI models, and enforcing data residency controls to drive operational excellence.