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

Designed for advanced-level machine learning professionals seeking to master state-of-the-art transfer learning techniques and apply them to complex real-world challenges, this instructor-led live training is available in both online and onsite formats.

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

• Grasp advanced concepts and methodologies within transfer learning.
• Deploy domain-specific adaptation techniques for pre-trained models.
• Utilize continual learning to handle evolving tasks and datasets effectively.
• Excel in multi-task fine-tuning to boost model performance across various tasks.

This instructor-led, live training in Italy (online or onsite) is designed for advanced-level AI maintenance engineers and MLOps professionals who aim to implement robust continual 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 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 Italy (online or onsite) is tailored for intermediate-level developers, data scientists, and tech professionals who aim to utilize 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 Italy (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 Italy (online or onsite) is designed for intermediate-level professionals seeking to acquire practical skills in customizing AI models for critical financial tasks.

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

• Grasp the fundamentals of fine-tuning AI for financial applications.
• Utilize pre-trained models for domain-specific financial tasks.
• Apply techniques for fraud detection, risk assessment, and generating financial advice.
• Ensure adherence to financial regulations such as GDPR and SOX.
• Implement data security measures and ethical AI practices in financial applications.

This instructor-led, live training in Italy (online or onsite) is designed for intermediate to advanced professionals who want 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 Italy (online or onsite) is designed for intermediate-level developers and AI professionals who wish to implement fine-tuning strategies for large models without needing 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 live, instructor-led training in Italy (online or onsite) is aimed at developers, cloud engineers, and technical product teams at beginner, intermediate, and advanced levels 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 generation, Chirp for speech, and Lyria for music. These tools facilitate production-ready workflows tailored for creative, marketing, and enterprise applications.

This instructor-led training, available online or onsite, is designed for intermediate to advanced professionals looking to leverage generative AI for multimedia content creation and deployment via Vertex AI.

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

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

Course Format

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

Customization Options

• For customized training requests, please contact us to arrange.

This instructor-led, live training in Italy (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, use tools, and work 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 integrate text, audio, and image data into a unified pipeline. Featuring support for long context windows and Gemini API parameters, it facilitates advanced applications in planning, reasoning, and cross-modal intelligence.

This instructor-led live training, available online or on-site, 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 for handling multimodal inputs and outputs.
• Develop long-context workflows to tackle complex reasoning tasks.
• Create 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 requests, please contact us to arrange your session.

This instructor-led live training in Italy (online or onsite) is designed for software engineers at beginner to intermediate levels, as well as anyone keen on learning how to use Vertex AI to perform and complete machine learning activities.

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

• Understand how Vertex AI works and use it as a machine learning platform.
• Learn about machine learning and NLP concepts.
• Know how to train and deploy machine learning models using Vertex AI.

Vertex AI Agent Builder provides a no-code/low-code platform for constructing grounded agents that integrate generative models with Retrieval-Augmented Generation (RAG). This enables teams to swiftly develop intelligent agents capable of leveraging enterprise data and search capabilities to deliver precise, context-aware responses.

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

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

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

Course Format

• Interactive lectures and discussions.
• Practical labs utilizing Vertex AI Agent Builder and RAG components.
• Project-based exercises focused on building and optimizing agents.

Customization Options

• For information on arranging a customized training session for this course, please contact us.

Vertex AI offers streamlined integration options for embedding Gemini models directly into mobile and web applications using Firebase and SDKs. This empowers developers and product teams to deliver AI-driven features at the app level, such as intelligent assistants, multimodal input handling, and personalized user experiences.

This instructor-led, live training (available online or onsite) is designed for beginner to intermediate practitioners who aim 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.
• Embed Gemini-powered features into mobile and web apps.
• Manage multimodal inputs, including text, images, and audio, within client applications.
• Deploy and monitor AI features in production environments.

Course Format

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

Course Customization Options

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

Vertex AI offers robust, enterprise-grade tools designed to manage the entire machine learning lifecycle, covering aspects such as observability, regulatory compliance, and operational excellence. Featuring 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 on-site) targets intermediate to advanced professionals seeking to deploy, monitor, and govern Vertex AI models within enterprise settings.

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

• Establish MLOps pipelines using Vertex AI.
• Monitor and observe models through real-time insights.
• Utilize grounding techniques and evaluation tools for Gen AI models.
• Implement 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 scenarios focused on compliance.

Customization Options

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