Custom AI Solutions with Google Vertex AI Training Course

Vertex AI offers sophisticated tools for fine-tuning large language models and managing prompts, empowering developers and data teams to enhance model accuracy, streamline iteration processes, and ensure rigorous evaluation through its integrated libraries and services.

This instructor-led, live training session (available online or onsite) is designed for intermediate to advanced practitioners looking to improve the performance and reliability of generative AI applications using supervised fine-tuning, prompt versioning, and evaluation services within Vertex AI.

By the conclusion of this training, participants will be capable of:

• Applying supervised fine-tuning techniques to Gemini models in Vertex AI.
• Implementing prompt management workflows that include versioning and testing.
• Utilizing evaluation libraries to benchmark and optimize AI performance.
• Deploying and monitoring enhanced models in production environments.

Course Format

• Interactive lectures and discussions.
• Hands-on labs featuring Vertex AI fine-tuning and prompt tools.
• Case studies focused on enterprise model optimization.

Customization Options

• For customized training on this topic, please contact us to arrange.

This instructor-led, live training in Argentina (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.

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

This instructor-led training session, available either online or 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 training, participants will be equipped to:

• Create images, videos, audio, and music utilizing the suite of Vertex AI models.
• Seamlessly integrate generative media into marketing strategies and product development workflows.
• Refine prompts and fine-tune outputs to ensure high quality and maintain brand consistency.
• Deploy enterprise-grade generative media solutions ready for production environments.

Course Format

• Interactive lectures and group discussions.
• Practical 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 reach out to us directly.

This instructor-led, live training in Argentina (online or onsite) is aimed at beginner, intermediate, and advanced 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 combine text, audio, and image data within a unified pipeline. Featuring support for extensive context windows and comprehensive 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 eager to design, build, and optimize multimodal AI workflows in Vertex AI.

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

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

Course Format

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

Customization Options

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

This instructor-led, live training in Argentina (online or onsite) is aimed at beginner to intermediate-level software engineers or anyone who wish to learn 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 merge generative models with Retrieval-Augmented Generation (RAG). This enables teams to quickly deploy agents that leverage enterprise data and search capabilities to deliver precise, context-sensitive responses.

This live, instructor-led training (available online or on-site) is designed for intermediate professionals looking to design, configure, and deploy intelligent agents utilizing Vertex AI Agent Builder and RAG methodologies.

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

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

Course Format

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

Customization Options

• For tailored training requests, please contact us to arrange specifics.

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

This instructor-led, live training (available online or onsite) is designed for beginner to intermediate-level practitioners who aim to incorporate 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.
• Incorporate Gemini-powered features into mobile and web applications.
• Process 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 involving 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 enterprise-grade tools for managing the complete machine learning lifecycle, emphasizing 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-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 settings.

Upon completing this training, participants will be equipped to:

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

Course Format

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

Course Customization Options

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