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

This instructor-led, live training in Romania (online or onsite) targets advanced machine learning professionals aiming to master state-of-the-art transfer learning techniques and apply them to complex real-world scenarios.

Upon completing this training, participants will be able to:

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

This instructor-led, live training in Romania (online or onsite) is designed for advanced 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 capable of:

• Designing and implementing continuous learning workflows for deployed models.
• Reducing catastrophic forgetting through appropriate training techniques and memory management.
• Automating monitoring and update triggers in response to model drift or data shifts.
• Integrating model update strategies into existing CI/CD and MLOps pipelines.

This instructor-led, live training in Romania (online or onsite) is designed for intermediate-level developers, data scientists, and tech professionals who want to utilize Google Vertex AI to create and deploy 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 Romania (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 Romania (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 Romania (online or onsite) targets intermediate to advanced 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 Romania (online or onsite) is designed for intermediate-level developers and AI practitioners who aim to implement fine-tuning strategies for large models without requiring 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 instructor-led live training in Romania (online or onsite) is aimed at beginner-level, intermediate-level, and 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 comprehensive platform for generative media, featuring models such as Veo for video production, Imagen for image creation, Chirp for speech synthesis, and Lyria for music generation. These tools facilitate the development of robust, production-ready workflows tailored for creative, marketing, and enterprise applications.

This instructor-led live training, available online or onsite, is designed for intermediate to advanced professionals seeking to leverage generative AI for multimedia content creation and deployment via Vertex AI.

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

• Create images, videos, audio, and music utilizing Vertex AI’s model suite.
• Seamlessly integrate generative media into marketing and product development workflows.
• Refine prompts and fine-tune outputs to ensure high quality and brand alignment.
• Deploy scalable 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.

Customization Options

• For personalized training arrangements, please contact us directly.

This instructor-led, live training in Romania (online or onsite) targets developers and technical practitioners at beginner, intermediate, and advanced levels who wish to use Google Cloud to build AI agents that 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 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 unify text, audio, and image data within a single pipeline. By leveraging long context window support and Gemini API parameters, it facilitates the development of advanced applications involving planning, reasoning, and cross-modal intelligence.

This instructor-led, live training session, available both online and onsite, targets intermediate to advanced practitioners who aim to design, build, and optimize multimodal AI workflows in Vertex AI.

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

• Utilize Gemini models to handle multimodal inputs and outputs.
• Implement workflows capable of managing long contexts for complex reasoning tasks.
• Design pipelines that seamlessly integrate text, audio, and image analysis.
• Optimize Gemini API parameters to enhance performance and cost efficiency.

Format of the Course

• Interactive lectures and discussions.
• Practical labs focused on multimodal workflows.
• Project-based exercises addressing real-world multimodal use cases.

Course Customization Options

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

This instructor-led, live training in Romania (online or on-site) is designed for software engineers at beginner to intermediate levels, as well as anyone interested in learning how to leverage Vertex AI to execute and complete machine learning activities.

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

• Understand the workings of Vertex AI 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 environment for developing grounded agents that integrate generative models with Retrieval-Augmented Generation (RAG). This enables teams to quickly construct agents that leverage enterprise data and search capabilities to deliver precise, context-aware responses.

This instructor-led, live training session (available online or onsite) is designed for intermediate-level professionals looking to design, configure, and deploy intelligent agents utilizing Vertex AI Agent Builder and RAG patterns.

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

• Design grounded agent workflows using Agent Builder.
• Implement RAG pipelines utilizing search and vector stores.
• Securely integrate enterprise data sources for retrieval purposes.
• Assess and refine agent performance through testing and 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.

Course Customization Options

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

Vertex AI offers streamlined integration options for embedding Gemini models directly into mobile and web applications using Firebase and SDKs. This allows developers and product teams to deliver AI-powered features at the app level, such as intelligent assistants, multimodal input handling, and personalized user experiences.

This instructor-led, live training (available online or onsite) is designed for beginner to intermediate practitioners who wish to embed Vertex AI Gemini capabilities into applications using Firebase and related SDKs.

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

• Set up Firebase and SDKs for Vertex AI integration.
• Embed Gemini-powered features into mobile and web apps.
• Handle multimodal inputs such as text, image, and audio in client apps.
• Deploy and monitor AI features in production applications.

Format of the Course

• Interactive lecture and discussion.
• Hands-on labs with Firebase and Vertex AI SDKs.
• Project-based exercises for app-level AI features.

Course Customization Options

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

Vertex AI offers enterprise-grade solutions designed to manage the entire machine learning lifecycle, encompassing observability, regulatory compliance, and operational excellence. Equipped with real-time monitoring, data residency controls, grounding capabilities, and integrated evaluation tools for generative AI, Vertex AI is engineered to satisfy the rigorous demands of production-level AI systems.

This instructor-led training, available in online or onsite formats, 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 capable of:

• Establishing MLOps pipelines utilizing Vertex AI.
• Monitoring and observing models through real-time insights.
• Applying grounding techniques and evaluation tools specific to generative AI models.
• Implementing compliance and governance strategies, including robust data residency controls.

Course Format

• Interactive lectures and discussions.
• Practical labs involving enterprise-grade Vertex AI tools.
• Case studies and compliance-focused scenarios.

Customization Options

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