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

This instructor-led, live training in Brazil (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 Brazil (online or in-person) is designed for AI maintenance engineers and MLOps professionals at an advanced level who want to implement robust continuous learning pipelines and effective update strategies for deployed, fine-tuned models.

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

• Design and implement continuous 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 Brazil (online or onsite) targets intermediate-level developers, data scientists, and tech professionals who aim to leverage 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 Brazil (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 live, instructor-led training in Brazil (delivered online or onsite) is designed for intermediate-level professionals aiming to build practical skills in adapting AI models for critical financial functions.

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

• Understanding the fundamentals of fine-tuning for financial applications.
• Leveraging pre-trained models for domain-specific financial tasks.
• Applying techniques for fraud detection, risk assessment, and financial advice generation.
• Ensuring adherence to financial regulations such as GDPR and SOX.
• Implementing data security and ethical AI practices in financial contexts.

This instructor-led, live training in Brazil (online or onsite) is aimed at intermediate-level 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:

• 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 Brazil (online or onsite) targets 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 live, instructor-led training in Brazil (online or in-person) targets developers, cloud engineers, and technical product teams at beginner, intermediate, or advanced levels who wish to utilize 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 expertise in generative media production using Vertex AI models such as Imagen and Veo. This instructor-led training in Brazil features hands-on labs for creating images, video, and audio, enabling professionals to develop production-ready workflows for creative and enterprise marketing initiatives.

This live, instructor-led training in Brazil (available online or on-site) targets developers and technical practitioners of all skill levels, from beginner to advanced, who intend to use Google Cloud to develop AI agents capable of automating tasks, leveraging tools, and interacting with business data.

By the end of the session, participants will be able to: articulate AI agent concepts, create agents using Vertex AI, link agents to external tools and data, and deploy agents for various business applications.

This live training in Brazil empowers practitioners to design, build, and optimize multimodal LLM workflows on Vertex AI. The curriculum covers Gemini models, long-context reasoning, and pipelines that integrate text, audio, and image data. Through hands-on labs, participants gain practical skills for real-world deployment.

This live, instructor-led session at Brazil focuses on crafting grounded agents using Vertex AI Agent Builder and RAG. Gain proficiency in implementing pipelines, securely integrating enterprise data, and assessing agent performance. Perfect for intermediate practitioners developing intelligent solutions.

This instructor-led program in Brazil prepares developers to integrate Gemini models into mobile and web applications leveraging Firebase and SDKs. The curriculum addresses environment configuration, the management of multimodal inputs, and the strategic deployment of AI-enhanced features into production settings, all while adhering to industry best practices.

This instructor-led training in Brazil explores enterprise MLOps, real-time monitoring, and compliance strategies for Vertex AI. Participants acquire practical skills in constructing pipelines, grounding Gen AI models, and enforcing data residency controls to achieve operational excellence.