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 instructor-led, live training in Brazil (online or in-person) 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 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.

Vertex AI offers a consolidated 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 empower organizations to develop robust workflows tailored for creative, marketing, and enterprise applications.

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

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

• Create images, videos, audio, and music utilizing Vertex AI’s comprehensive model suite.
• Seamlessly integrate generative media into marketing and product development processes.
• Refine prompts and fine-tune outputs to ensure high quality and alignment with brand standards.
• Deploy enterprise-grade, production-ready generative media solutions.

Course Format

• Interactive lectures and group discussions.
• Practical exercises involving Vertex AI generative media models.
• Analysis of real-world case studies and participation in creative project labs.

Customization Options

• To arrange a customized version of this course, please reach out to us for further details.

This instructor-led, live training in Brazil (online or onsite) is designed for beginner-level, intermediate-level, and advanced-level developers and technical practitioners who wish to utilize 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 using 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. With support for long context windows and customizable 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 who want to design, build, and optimize multimodal AI workflows within Vertex AI.

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

• Leverage Gemini models to handle multimodal inputs and outputs.
• Implement long-context workflows to tackle complex reasoning tasks.
• Design pipelines that effectively combine 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 targeting 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 Brazil (online or onsite) is designed for beginner to intermediate-level software engineers and anyone wishing 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 the functionality of Vertex AI and utilize it as a machine learning platform.
• Learn about machine learning and NLP concepts.
• Understand how to train and deploy machine learning models using Vertex AI.

Vertex AI Agent Builder serves as a no-code and low-code platform for constructing grounded agents that integrate generative models with Retrieval-Augmented Generation (RAG). This empowers teams to quickly develop agents capable of leveraging enterprise data and search capabilities to deliver accurate, context-sensitive responses.

This instructor-led live training, available online or onsite, targets intermediate practitioners looking to design, configure, and deploy smart agents using Vertex AI Agent Builder alongside RAG patterns.

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

• Create grounded agent workflows utilizing Agent Builder.
• Construct RAG pipelines incorporating search and vector storage solutions.
• Securely connect enterprise data sources for retrieval purposes.
• Assess and refine agent behavior through testing and performance metrics.

Course Format

• Engaging lectures and interactive discussions.
• Practical labs focused on Vertex AI Agent Builder and RAG components.
• Project-based activities to build and enhance agents.

Customization Options

• For customized training arrangements, please contact us directly.

Vertex AI offers streamlined integration pathways for embedding Gemini models directly into mobile and web applications through Firebase and associated SDKs. This empowers developers and product teams to deliver AI-driven features at the application level, including 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 looking to integrate Vertex AI Gemini capabilities into their applications using Firebase and related SDKs.

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

• Configure Firebase and SDKs for Vertex AI integration.
• Embed Gemini-powered features into mobile and web applications.
• Process multimodal inputs, such as 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 implementing app-level AI features.

Course Customization Options

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

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

This instructor-led training, available online or onsite, 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 able to:

• Establish MLOps pipelines using Vertex AI.
• Monitor and observe model performance with 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

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