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

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

Upon completion 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 Sweden (online or onsite) is designed for intermediate-level developers, data scientists, and technology professionals who wish to leverage Google Vertex AI to create and deploy 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 the 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 Sweden (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 Sweden (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 Sweden (online or onsite) is designed for intermediate 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:

• 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 in Sweden (online or onsite) is designed for intermediate-level developers and AI practitioners who wish to implement fine-tuning strategies for large models without the need for extensive 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 Sweden (online or onsite) targets developers, cloud engineers, and technical product teams at beginner, intermediate, and advanced levels who aim to use Google Cloud generative AI tools to build and evaluate practical AI applications.

Participants will finish the training with the ability to understand Google Cloud generative AI services, craft prompts and workflows, develop simple applications using Vertex AI, and implement responsible AI practices.

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

This instructor-led live training, available both online and onsite, targets intermediate to advanced professionals seeking to leverage generative AI for the creation and deployment of multimedia content via Vertex AI.

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

• Utilize Vertex AI’s model suite to generate images, videos, audio, and music.
• Seamlessly integrate generative media into marketing and product development workflows.
• Refine prompts and tune outputs to ensure high quality and maintain brand consistency.
• Deploy scalable, production-ready generative media solutions within enterprise environments.

Course Format

• Engaging interactive lectures and discussions.
• Practical, hands-on exercises using Vertex AI generative media models.
• Analysis of real-world case studies and participation in creative project labs.

Customization Options

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

This instructor-led, live training in Sweden (online or onsite) is aimed at beginner-level, intermediate-level, and advanced-level developers and technical practitioners who wish to use Google Cloud to build AI agents that can automate tasks, utilize 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, seamlessly integrating text, audio, and image data into a unified pipeline. Leveraging long context window capabilities and Gemini API parameters, it empowers advanced applications in planning, reasoning, and cross-modal intelligence.

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

Upon completion, participants will be able to:

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

Course Format

• Interactive lectures and discussions.
• Practical labs focused on multimodal workflows.
• Project-based exercises applying multimodal use cases.

Customization Options

• For customized training, please contact us to arrange.

This instructor-led, live training in Sweden (online or onsite) is designed for beginner to intermediate-level software engineers or anyone wishing to learn how to leverage Vertex AI for performing and completing machine learning activities.

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

• Understand the workings of Vertex AI and apply it as a machine learning platform.
• Learn about core machine learning and NLP concepts.
• Know how to train and deploy machine learning models using Vertex AI.

Vertex AI Agent Builder offers a no-code or low-code platform for developing grounded agents that integrate generative models with retrieval-augmented generation (RAG). This empowers teams to swiftly create agents that leverage enterprise data and search capabilities to deliver precise, context-sensitive responses.

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

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

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

Course Format

• Interactive lectures and discussions.
• Practical labs featuring Vertex AI Agent Builder and RAG components.
• Project-based exercises to build and optimize agents.

Customization Options

• For customized training arrangements for this course, please contact us.

Vertex AI offers efficient integration paths for embedding Gemini models directly within mobile and web applications via Firebase and various SDKs. This empowers developers and product teams to incorporate AI-driven features at the application level, such as intelligent assistants, multimodal input processing, and tailored user experiences.

This instructor-led, live training (available online or onsite) is designed for beginner to intermediate practitioners looking to embed Vertex AI Gemini capabilities into their applications using Firebase and related SDKs.

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

• Configure Firebase and SDKs for Vertex AI integration.
• Integrate Gemini-powered features into mobile and web applications.
• Process multimodal inputs, including text, images, and audio, within client applications.
• Deploy and monitor AI features within production environments.

Course Format

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

Customization Options

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

Vertex AI equips enterprises with robust tools to manage the entire machine learning lifecycle, encompassing observability, compliance, and operational excellence. Featuring real-time monitoring, data residency controls, grounding capabilities, and integrated Gen AI evaluation, Vertex AI is engineered to satisfy the rigorous demands of production-grade AI systems.

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

Upon completing this training, participants will be able to:

• Establish MLOps pipelines using Vertex AI.
• Monitor and observe model performance through real-time insights.
• Apply grounding techniques and evaluation tools for Gen AI models.
• Implement compliance and governance strategies, including data residency controls.

Format of the Course

• Interactive lectures and discussions.
• Hands-on labs utilizing enterprise-grade Vertex AI tools.
• Case studies and compliance-driven scenarios.

Course Customization Options

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