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

This live, instructor-led training in Germany (delivered online or on-site) is tailored for advanced machine learning professionals aiming to excel in cutting-edge transfer learning techniques and apply them to complex real-world scenarios.

Upon completing this program, participants will be capable of:

• Understanding the advanced concepts and methodologies inherent in transfer learning.
• Implementing domain-specific adaptation techniques for pre-trained models.
• Utilizing continual learning to manage evolving tasks and datasets.
• Mastery of multi-task fine-tuning to enhance model performance across various tasks.

This instructor-facilitated, live training in Germany (online or on-site) is designed for senior AI maintenance engineers and MLOps specialists aiming to implement robust continual learning pipelines and effective refinement protocols for deployed, fine-tuned models.

By the conclusion of this session, participants will be able to:

• Design and execute continual learning workflows for live models.
• Mitigate catastrophic forgetting through optimized training and memory management.
• Automate monitoring and update triggers based on model drift or data fluctuations.
• Integrate model refinement strategies into established CI/CD and MLOps pipelines.

This live, instructor-led session, offered in Germany either online or onsite, is tailored for intermediate developers, data scientists, and tech professionals seeking to harness Google Vertex AI for the creation and deployment of custom AI models.

By the conclusion of this training, participants will be prepared to:

• Comprehend the capabilities and features of Google Vertex AI.
• Initialize and configure the Google Vertex AI environment.
• Build and train custom AI models using Vertex AI.
• Deploy and manage AI models across the Google Cloud Platform.
• Utilize Vertex AI's tools to monitor and enhance model performance.
• Adopt best practices for AI model development and deployment.

This instructor-led, live training in Germany (online or on-site) is designed for advanced professionals aiming to deploy fine-tuned models with both reliability and efficiency.

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

• Identify the core challenges of integrating fine-tuned models into production.
• Utilize tools like Docker and Kubernetes for model containerization and deployment.
• Set up effective monitoring and logging systems for deployed models.
• Enhance model performance for optimal latency and scalability in practical scenarios.

This live, instructor-led training in Germany (available online or on-site) is designed for intermediate-level professionals aiming to acquire practical skills in customizing AI models for critical financial tasks.

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

• Grasp the core principles of fine-tuning AI models for financial applications.
• Utilize pre-trained models to execute domain-specific tasks within the finance industry.
• Apply advanced techniques for fraud detection, risk assessment, and the generation of financial advice.
• Ensure adherence to financial regulations, including GDPR and SOX.
• Implement robust data security and ethical AI practices within financial applications.

This live, instructor-led training in Germany (available online or onsite) is designed for intermediate to advanced professionals looking to adapt pre-trained models for specific tasks and datasets.

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

• Understand the core principles of fine-tuning and its diverse applications.
• Prepare high-quality datasets for the fine-tuning of pre-trained models.
• Execute fine-tuning of Large Language Models (LLMs) for NLP tasks.
• Optimize model performance and resolve typical technical obstacles.

This live, instructor-led training held in Germany (either online or onsite) is tailored for intermediate developers and AI professionals looking to execute fine-tuning strategies for large models while avoiding the need for heavy computational resources.

Following this training, participants will possess the ability to:

• Comprehend the core concepts of Low-Rank Adaptation (LoRA).
• Utilize LoRA to perform efficient fine-tuning on large models.
• Streamline fine-tuning operations for resource-limited environments.
• Evaluate and deploy LoRA-enhanced models for practical use.

This instructor-led, live training in Germany (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 creation using Vertex AI models such as Imagen and Veo. This instructor-led program, conducted in Germany, features practical labs for producing images, video, and audio. It is designed to help professionals construct production-ready workflows for creative and enterprise marketing initiatives.

This live, instructor-led training in Germany (available online or onsite) is designed for developers and technical practitioners across all proficiency levels. It focuses on utilizing Google Cloud to build AI agents that can automate tasks, leverage tools, and interact with business data.

By the end of the course, participants will be able to explain core AI agent concepts, construct agents using Vertex AI, integrate external tools and data sources, and deploy these agents to meet specific business objectives.

This live training in Germany empowers practitioners to design, implement, and optimize multimodal LLM workflows using Vertex AI. The curriculum explores Gemini models, long-context reasoning, and integrated pipelines for text, audio, and image data. Through hands-on labs, participants gain practical skills essential for real-world deployment.

Delivered by an instructor in a live setting, this Germany training focuses on creating grounded agents using Vertex AI Agent Builder and RAG. Participants will master pipeline implementation, secure enterprise data integration, and agent behavior evaluation. It is ideally suited for intermediate professionals developing intelligent solutions.

This instructor-led program in Germany empowers developers to integrate Gemini models into mobile and web applications using Firebase and SDKs. The curriculum covers environmental setup, the processing of multimodal inputs, and the deployment of AI-enhanced features to production, adhering to industry best practices.

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