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

This instructor-led, live training in Czech Republic (online or onsite) is designed for advanced-level machine learning professionals who aim to master state-of-the-art transfer learning techniques and apply them to complex, real-world challenges.

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

• Comprehend advanced concepts and methodologies in transfer learning.
• Implement domain-specific adaptation techniques for pre-trained models.
• Apply continual learning strategies to handle evolving tasks and datasets.
• Master multi-task fine-tuning to boost model performance across various tasks.

This instructor-led, live training in Czech Republic (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 Czech Republic (online or onsite) is designed for intermediate-level developers, data scientists, and tech professionals who want 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 Czech Republic (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 Czech Republic (online or onsite) targets intermediate-level professionals who wish to develop 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 Czech Republic (online or onsite) is designed for intermediate to advanced professionals who wish to customize pre-trained models for specific tasks and datasets.

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

• Grasp 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 Czech Republic (online or onsite) is designed for intermediate-level developers and AI practitioners seeking to implement fine-tuning strategies for large models without requiring extensive computational resources.

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

• Comprehend the core principles of Low-Rank Adaptation (LoRA).
• Implement LoRA for efficient fine-tuning of large models.
• Optimize fine-tuning workflows for resource-constrained environments.
• Evaluate and deploy LoRA-tuned models for practical use cases.

This live, instructor-led training in Czech Republic (online or onsite) is targeted at beginner, intermediate, and advanced developers, cloud engineers, and technical product teams interested in using Google Cloud generative AI tools to build and evaluate practical AI applications.

By the end of this course, participants will be able to: understand Google Cloud's generative AI services, create effective prompts and workflows, build simple applications using Vertex AI, and apply responsible AI practices.

Vertex AI serves as a consolidated platform for generative media, featuring specialized models such as Veo for video production, Imagen for image synthesis, Chirp for speech processing, and Lyria for music creation. These tools facilitate the development of robust workflows tailored for creative, marketing, and enterprise applications.

This instructor-led training, available in both online and onsite formats, 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 course, participants will be equipped to:

• Produce images, videos, audio tracks, and music using the Vertex AI model suite.
• Seamlessly incorporate generative media into marketing strategies and product development workflows.
• Refine prompts and adjust outputs to ensure high quality and alignment with brand guidelines.
• Deploy scalable, production-ready generative media solutions within enterprise environments.

Course Format

• Engaging lectures and interactive discussions.
• Practical exercises utilizing Vertex AI generative media models.
• Real-world case studies and creative project-based labs.

Customization Options

• For tailored training needs, please reach out to us to arrange a customized program.

This instructor-led, live training in Czech Republic (online or onsite) is aimed at beginner-level, intermediate-level, and advanced-level developers and technical practitioners who wish to use 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, build agents with 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 unify text, audio, and image data within a single pipeline. Leveraging support for long context windows and Gemini API parameters, it facilitates advanced applications in planning, reasoning, and cross-modal intelligence.

This instructor-led, live training (available online or onsite) targets intermediate to advanced practitioners looking 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 tackle complex reasoning tasks.
• Design pipelines that seamlessly integrate text, audio, and image analysis.
• Optimize Gemini API parameters to enhance performance and cost efficiency.

Course Format

• Interactive lectures and discussions.
• Practical labs featuring multimodal workflows.
• Project-based exercises focused on 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 Czech Republic (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 creating grounded agents that integrate generative models with Retrieval-Augmented Generation (RAG). This empowers teams to quickly construct agents capable of leveraging enterprise data and search capabilities to deliver precise, context-sensitive responses.

This instructor-led training, available either online or on-site, is designed for intermediate-level practitioners seeking to design, configure, and deploy intelligent agents utilizing Vertex AI Agent Builder and RAG patterns.

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 purposes.
• Assess and refine agent behavior through testing and performance metrics.

Course Format

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

Customization Options

• For customized training on this topic, please contact us to arrange your session.

Vertex AI offers streamlined integration pathways for embedding Gemini models directly into mobile and web applications through Firebase and 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 seeking to integrate Vertex AI Gemini capabilities into their applications using Firebase and associated SDKs.

Upon completion 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.

Customization Options

• To request a tailored training session for this course, please contact us to arrange your needs.

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

This instructor-led live training (available online or onsite) targets intermediate to advanced professionals who aim 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 models with real-time insights.
• Apply grounding techniques and evaluation tools for Gen AI models.
• Implement compliance and governance strategies, including data residency controls.

Format of the Course

• Interactive lecture and discussion.
• Hands-on labs with enterprise-grade Vertex AI tools.
• Case studies and compliance-driven scenarios.

Course Customization Options

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