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

This instructor-led, live training in Oslo (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 Norway (online or onsite) targets advanced-level AI maintenance engineers and MLOps professionals who wish to implement robust ongoing 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 ongoing 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 guided, live training in Norway (available online or on-site) targets intermediate developers, data scientists, and technology professionals aiming to leverage Google Vertex AI for creating and deploying custom AI models.

By the conclusion 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 Norway (online or onsite) is designed for 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 Norway, offered either online or on-site, targets intermediate-level professionals aiming to acquire practical skills in adapting AI models for vital financial tasks.

Upon completion, participants will be able to:

• Understand the foundational aspects of fine-tuning for finance applications.
• Leverage pre-trained models for domain-specific financial tasks.
• Apply techniques for fraud detection, risk assessment, and generating financial advice.
• Ensure compliance with financial regulations like GDPR and SOX.
• Implement data security and ethical AI practices in financial applications.

This instructor-led, live training in Norway (online or onsite) targets intermediate to advanced professionals aiming to customize pre-trained models for specific tasks and datasets.

By the conclusion 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 Norway (online or on-site) is designed for intermediate-level developers and AI practitioners aiming to implement fine-tuning strategies for large models without relying on extensive computational resources.

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

• Understand the underlying principles of Low-Rank Adaptation (LoRA).
• Implement LoRA for the efficient fine-tuning of large models.
• Optimize fine-tuning procedures for resource-constrained environments.
• Evaluate and deploy LoRA-tuned models for practical use cases.

This instructor-led, live training in Norway (online or onsite) is aimed at beginner-level, intermediate-level, or 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 mastery in generative media production using Vertex AI models like Imagen and Veo. This instructor-led training in Norway features hands-on labs for generating images, videos, and audio, enabling professionals to construct production-ready workflows for creative and enterprise marketing initiatives.

This instructor-led, live training, available Norway (online or onsite), is designed for developers and technical practitioners of all skill levels who intend to use Google Cloud to build AI agents that can automate tasks, leverage tools, and interact with business data.

By the end of the session, participants will be able to: articulate AI agent concepts, develop agents using Vertex AI, integrate agents with external tools and data sources, and deploy agents for various business scenarios.

This live training in Norway empowers practitioners to architect, develop, and optimize multimodal LLM workflows within Vertex AI. The curriculum addresses the use of Gemini models, long-context reasoning strategies, and the integration of text, audio, and image data into cohesive pipelines. Through hands-on laboratory sessions, participants gain the practical skills necessary for real-world deployment.

This live, instructor-led course in Norway focuses on designing grounded agents via Vertex AI Agent Builder and RAG. Participants will learn to build pipelines, securely connect enterprise data, and assess agent behavior. It is well-suited for intermediate professionals developing intelligent solutions.

This instructor-led course at Norway prepares developers to embed Gemini models into mobile and web applications leveraging Firebase and SDKs. The curriculum covers environment configuration, multimodal input management, and the deployment of AI-powered features to production settings, all while adhering to industry best practices.

This instructor-led training for Norway focuses on enterprise MLOps, live monitoring, and compliance strategies within Vertex AI. Learners will develop practical skills in pipeline construction, Gen AI model grounding, and enforcing data residency controls to achieve operational excellence.