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 instructor-led, live training in Norway (online or on-site) is aimed at intermediate-level professionals who wish to gain practical skills in customizing AI models for critical financial tasks.

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

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

This instructor-led, live training in Norway (online or onsite) is aimed at intermediate to advanced 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 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.

Vertex AI offers a consolidated platform for generative media, featuring models such as Veo for video, Imagen for image creation, Chirp for speech, and Lyria for music. These tools facilitate production-ready workflows tailored for creative, marketing, and enterprise applications.

This instructor-led live training, available online or onsite, is designed for intermediate to advanced professionals seeking to leverage generative AI for creating and deploying multimedia content via Vertex AI.

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

• Producing images, videos, audio, and music using the Vertex AI model suite.
• Incorporating generative media into marketing and product workflows.
• Refining prompts and fine-tuning outputs to ensure quality and brand alignment.
• Deploying production-ready generative media solutions within enterprise environments.

Course Format

• Interactive lectures and discussions.
• Practical exercises utilizing Vertex AI generative media models.
• Real-world case studies and creative project labs.

Customization Options

• To arrange customized training for this course, please contact us.

This instructor-led, live training in Norway (online or onsite) is intended for beginner, intermediate, and advanced developers and technical professionals who wish to utilize Google Cloud to build AI agents that can automate tasks, use tools, and interact with business data.

By the end of this training, participants will be able to: explain AI agent concepts, build agents with Vertex AI, connect agents to external tools and data, and deploy agents for business use cases.

Vertex AI offers robust tools for constructing multimodal LLM workflows that seamlessly combine text, audio, and image data into a unified pipeline. By leveraging long context window capabilities and Gemini API parameters, it facilitates the creation of sophisticated applications focused on planning, reasoning, and cross-modal intelligence.

This instructor-led, live training (available online or onsite) is designed for intermediate to advanced practitioners looking to design, build, and optimize multimodal AI workflows within Vertex AI.

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

• Utilize Gemini models to handle multimodal inputs and outputs.
• Implement long-context workflows to tackle complex reasoning tasks.
• Design pipelines that integrate text, audio, and image analysis.
• Optimize Gemini API parameters to enhance performance and cost-efficiency.

Format of the Course

• Interactive lectures and discussions.
• Hands-on labs focused on multimodal workflows.
• Project-based exercises addressing applied multimodal use cases.

Course Customization Options

• To request customized training for this course, please contact us to make arrangements.

This instructor-led live training in Norway (online or onsite) is tailored for software engineers at beginner to intermediate levels, as well as anyone keen on learning how to utilize Vertex AI for machine learning activities.

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

• Gaining a solid understanding of Vertex AI’s functionality and its application as a machine learning platform.
• Acquiring knowledge of core machine learning and Natural Language Processing (NLP) concepts.
• Learning to train and deploy machine learning models using Vertex AI.

Vertex AI Agent Builder provides a no-code/low-code platform for developing grounded agents that merge generative AI models with Retrieval-Augmented Generation (RAG). This empowers teams to quickly construct agents capable of leveraging enterprise data and search capabilities to deliver precise, context-sensitive responses.

This instructor-led live training, available online or onsite, targets intermediate-level professionals eager to design, configure, and deploy smart agents utilizing Vertex AI Agent Builder and RAG methodologies.

Upon completing this training, participants will be equipped to:

• Design grounded agent workflows using Agent Builder.
• Develop RAG pipelines incorporating search and vector stores.
• Securely integrate enterprise data sources for information retrieval.
• Assess and refine agent performance through testing and metrics.

Course Format

• Interactive lectures and discussions.
• Practical labs focusing on Vertex AI Agent Builder and RAG components.
• Project-based exercises to construct and refine agent solutions.

Customization Options

• To arrange a tailored training session for this course, please reach out to us.

Vertex AI offers simplified integration methods for incorporating Gemini models directly into mobile and web applications through Firebase and SDKs. This approach allows developers and product teams to implement AI-driven functionalities at the application level, including intelligent assistants, multimodal input processing, and personalized user experiences.

This instructor-led, live training, available either online or onsite, is designed for practitioners at beginner to intermediate levels who aim to embed Vertex AI Gemini capabilities into their applications using Firebase and associated SDKs.

Upon completing this training, participants will be able to:

• Configure Firebase and SDKs for Vertex AI integration.
• Incorporate Gemini-powered features into mobile and web applications.
• Process multimodal inputs, such as text, images, and audio, within client applications.
• Deploy and monitor AI functionalities in live production applications.

Course Structure

• Interactive lectures and discussions.
• Practical labs involving Firebase and Vertex AI SDKs.
• Project-based exercises focused on app-level AI features.

Customization Options

• For tailored training on this course, please contact us to arrange details.

Vertex AI offers enterprise-grade solutions for managing the entire machine learning lifecycle, encompassing observability, regulatory compliance, and operational excellence. Equipped with real-time monitoring, data residency controls, grounding capabilities, and integrated Gen AI evaluation, Vertex AI is engineered to meet the rigorous demands of production-level AI systems.

This instructor-led, live training (available online or onsite) targets intermediate to advanced professionals seeking to deploy, monitor, and govern Vertex AI models within enterprise environments.

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

• Establishing MLOps pipelines using Vertex AI.
• Monitoring and observing models through real-time insights.
• Applying grounding techniques and evaluation tools for Gen AI models.
• Implementing compliance and governance strategies, including data residency controls.

Course Format

• Interactive lectures and discussions.
• Practical labs utilizing enterprise-grade Vertex AI tools.
• Case studies and compliance-focused scenarios.

Course Customization Options

• To request customized training for this course, please contact us to arrange.