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

This instructor-led, live training in Mexico (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 Mexico (online or onsite) is designed for advanced-level AI maintenance engineers and MLOps professionals who want 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 Mexico (online or onsite) is designed for intermediate-level developers, data scientists, and technology professionals who want to leverage Google Vertex AI to create and deploy custom AI models.

Upon completing 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.
• Use Vertex AI's tools to monitor and optimize model performance.
• Apply best practices for AI model development and deployment.

This instructor-led, live training in Mexico (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 Mexico, offered online or onsite, is tailored for intermediate-level professionals aiming to acquire hands-on skills in customizing AI models for vital financial tasks.

Upon completion, participants will be equipped to:

• Grasp the core principles of fine-tuning AI for financial applications.
• Utilize pre-trained models to address domain-specific financial challenges.
• Deploy techniques for fraud detection, risk assessment, and the generation of financial advice.
• Satisfy compliance requirements under financial regulations like GDPR and SOX.
• Integrate data security measures and ethical AI practices into financial applications.

This instructor-led, live training in Mexico (online or onsite) is designed for intermediate to advanced-level professionals who want 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 Mexico (online or in-person) is designed for intermediate developers and AI practitioners who aim to implement fine-tuning strategies for large models without relying on heavy computational resources.

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

• Understand the fundamental principles of Low-Rank Adaptation (LoRA).
• Implement LoRA for efficient fine-tuning of large models.
• Optimize fine-tuning workflows for environments with limited resources.
• Evaluate and deploy LoRA-tuned models for practical applications.

This instructor-led, live training in Mexico (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.

Gain proficiency in generative media creation using Vertex AI models such as Imagen and Veo. This instructor-led course in Mexico provides hands-on labs for generating images, video, and audio, enabling professionals to develop production-ready workflows for creative and enterprise marketing initiatives.

This live, instructor-led training in Mexico, offered either online or on-site, is designed for developers and technical practitioners of all levels (beginner to advanced) who intend to leverage Google Cloud to create AI agents that can automate tasks, utilize tools, and interact with business data.

By the conclusion of this program, participants will be equipped to explain AI agent concepts, construct agents using Vertex AI, link agents to external tools and datasets, and deploy these agents for real-world business scenarios.

This live session in Mexico guides practitioners through the design, development, and optimization of multimodal LLM workflows on Vertex AI. The curriculum explores Gemini models, extended-context reasoning, and integrated pipelines for text, audio, and image data, ensuring participants gain practical, industry-ready skills through hands-on labs.

This live, instructor-led training in Mexico focuses on creating grounded agents using Vertex AI Agent Builder and RAG. Participants will learn to build pipelines, securely integrate enterprise data, and assess agent performance. This course is ideal for intermediate practitioners developing intelligent solutions.

This instructor-led session in Mexico guides developers in integrating Gemini models into mobile and web applications via Firebase and SDKs. The curriculum covers environment configuration, multimodal input management, and the deployment of AI-enhanced features to production environments, adhering to industry best practices.

Delivered by expert instructors, this training in Mexico focuses on enterprise MLOps, real-time monitoring, and compliance strategies specific to Vertex AI. Participants will develop practical skills in engineering pipelines, grounding Gen AI models, and enforcing data residency controls to drive operational excellence.