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

This instructor-led, live training in Slovakia (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 Slovakia (online or onsite) targets advanced-level AI maintenance engineers and MLOps professionals who aim to establish resilient continual learning pipelines and effective update strategies for deployed, fine-tuned models.

Upon completion of this training, participants will be capable of:

• Designing and implementing continual learning workflows for deployed models.
• Reducing catastrophic forgetting through appropriate training methods and memory management.
• Automating the monitoring and triggering of updates based on model drift or data shifts.
• Integrating model update strategies into existing CI/CD and MLOps pipelines.

This instructor-led, live training in Slovakia (online or onsite) is designed for intermediate-level developers, data scientists, and technology professionals seeking 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 Slovakia (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 Slovakia (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 Slovakia (online or onsite) targets intermediate to advanced professionals looking to customize pre-trained models for specific tasks and datasets.

Upon completing this training, participants will be able to:

• Grasp the principles of fine-tuning and its practical applications.
• Prepare datasets specifically for fine-tuning pre-trained models.
• Fine-tune large language models (LLMs) for NLP tasks.
• Optimize model performance and navigate common challenges.

This instructor-led, live training in Slovakia (online or onsite) targets intermediate developers and AI practitioners who aim to implement fine-tuning strategies for large models without the need for heavy 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 instructor-led, live training in Slovakia (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 offers a consolidated platform for generative media, featuring models such as Veo for video, Imagen for image generation, Chirp for speech processing, and Lyria for music composition. These tools support production-ready workflows tailored for creative, marketing, and enterprise applications.

This instructor-led live training, available online or onsite, targets intermediate to advanced professionals seeking to leverage generative AI for creating and deploying multimedia content via Vertex AI.

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

• Create images, videos, audio, and music using Vertex AI’s model suite.
• Integrate generative media into marketing and product development workflows.
• Refine prompts and fine-tune outputs to ensure quality and brand consistency.
• Deploy production-ready generative media solutions within enterprise environments.

Course Format

• Interactive lectures and discussions.
• Practical exercises involving Vertex AI generative media models.
• Real-world case studies and creative project labs.

Course Customization Options

• For tailored training on this course, please contact us to arrange.

This instructor-led, live training, located in Slovakia (online or onsite), is designed for beginner to advanced developers and technical practitioners who wish to employ Google Cloud to build AI agents that can automate tasks, utilize tools, and process 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 into a unified pipeline. By leveraging long context window capabilities and Gemini API parameters, it facilitates sophisticated applications in planning, reasoning, and cross-modal intelligence.

This instructor-led, live training (available online or onsite) is designed for intermediate to advanced practitioners aiming to design, build, and optimize multimodal AI workflows within Vertex AI.

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

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

Course Format

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

Course Customization Options

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

This instructor-led live training in Slovakia (available online or on-site) is designed for software engineers at the beginner to intermediate level, as well as anyone wishing to learn how to utilize Vertex AI for performing and completing machine learning activities.

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

• Understand the operational mechanics of Vertex AI and use it as a machine learning platform.
• Learn about core concepts in machine learning and Natural Language Processing (NLP).
• Understand how to train and deploy machine learning models using Vertex AI.

Vertex AI Agent Builder provides a no-code/low-code platform for developing grounded agents that integrate generative models with retrieval-augmented generation (RAG). This enables teams to swiftly create agents leveraging enterprise data and search capabilities to deliver precise, context-aware responses.

This instructor-led, live training (available online or onsite) targets intermediate-level professionals aiming to design, configure, and deploy intelligent agents utilizing Vertex AI Agent Builder and RAG frameworks.

Upon completion of this training, participants will be capable of:

• Architecting grounded agent workflows via Agent Builder.
• Deploying RAG pipelines utilizing search and vector storage solutions.
• Securely integrating enterprise data sources for effective retrieval.
• Assessing and refining agent performance through testing and metrics analysis.

Course Delivery Format

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

Customization Options

• To arrange a tailored version of this course, please contact us directly.

Vertex AI offers simplified integration pathways for embedding Gemini models directly into mobile and web applications through Firebase and various SDKs. This empowers developers and product teams to deliver AI-driven features at the application level, including intelligent assistants, support for multimodal inputs, and personalized user experiences.

This instructor-led, live training (available online or onsite) is designed for beginner to intermediate-level practitioners who want to integrate 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.
• Manage 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 app-level AI features.

Customization Options

• For customized training requests, please contact us to make arrangements.

Vertex AI offers enterprise-grade solutions for managing the complete machine learning lifecycle, encompassing observability, compliance, and operational excellence. Equipped with real-time monitoring, data residency controls, grounding capabilities, and integrated Gen AI evaluation, Vertex AI is engineered to satisfy the rigorous requirements 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 environments.

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

• Establish MLOps pipelines using 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 featuring 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.