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

This instructor-led live training, available online or onsite, targets advanced-level machine learning professionals aiming to master cutting-edge transfer learning techniques and apply them to complex real-world problems.

By the conclusion 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 Argentina (online or onsite) is designed for advanced-level AI maintenance engineers and MLOps professionals who aim 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 techniques and memory management.
• Automate monitoring and update triggers based on model drift or changes in data.
• Integrate model update strategies into existing CI/CD and MLOps pipelines.

This instructor-led, live training in Argentina (online or onsite) is aimed at intermediate-level developers, data scientists, and tech professionals who wish 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 Argentina (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 Argentina (online or onsite) 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 Argentina (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 Argentina (online or on-site) is tailored for intermediate developers and AI practitioners aiming 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:

• Comprehend the core principles of Low-Rank Adaptation (LoRA).
• Utilize LoRA for the efficient fine-tuning of large models.
• Optimize fine-tuning for environments with constrained resources.
• Evaluate and deploy LoRA-enhanced models for practical implementation.

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 tailored for developers and technical professionals at beginner, intermediate, and advanced levels who aim to use Google Cloud to build AI agents capable of automating tasks, utilizing tools, and interacting with business data.

By the end of this training, participants will be able to explain AI agent concepts, construct 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 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.