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

This instructor-led, live training in Greece (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 Greece (online or onsite) is designed for advanced AI maintenance engineers and MLOps professionals who wish 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 Greece (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 Greece (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 Greece (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 Greece (online or onsite) is designed for 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:

• 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 session in Greece (online or onsite) is designed for intermediate-level software developers and AI specialists aiming to implement fine-tuning strategies for large models without the need for heavy computational resources.

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

• Gaining insight into the core principles of Low-Rank Adaptation (LoRA).
• Applying LoRA to efficiently fine-tune large models.
• Optimizing fine-tuning processes for resource-constrained settings.
• Assessing and deploying LoRA-enhanced models for real-world applications.

This instructor-led, live training in Greece (online or onsite) targets 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 specialized models such as Veo for video, Imagen for image generation, Chirp for speech synthesis, and Lyria for music creation. These tools facilitate the development of robust, production-ready workflows tailored for creative, marketing, and enterprise applications.

This instructor-led live training, available both online and onsite, is designed for professionals at intermediate to advanced levels who aim to leverage generative AI for the creation and deployment of multimedia content via Vertex AI.

Upon completing this training, participants will be equipped to:

• Create images, videos, audio, and music utilizing the Vertex AI 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, production-ready generative media solutions within enterprise environments.

Course Format

• Interactive lectures and group discussions.
• Practical exercises involving Vertex AI generative media models.
• Analysis of real-world case studies and participation in creative project labs.

Customization Options

• To request tailored training for this course, please reach out to us to make arrangements.

This live, instructor-led training in Greece (online or onsite) is designed for beginner to advanced developers and technical practitioners who want to use Google Cloud to build AI agents capable of automating tasks, utilizing tools, and working with 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 equips developers with robust tools to construct multimodal LLM workflows that seamlessly integrate text, audio, and image data into a unified pipeline. Leveraging support for long context windows and configurable Gemini API parameters, it facilitates the creation of sophisticated applications focused on planning, reasoning, and cross-modal intelligence.

This instructor-led live training, available both online and onsite, is designed for intermediate to advanced practitioners eager to design, build, and optimize multimodal AI workflows within the Vertex AI ecosystem.

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.
• Architect 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.
• Practical labs focused on multimodal workflows.
• Project-based exercises addressing real-world multimodal use cases.

Customization Options

• For customized training options for this course, please contact us to arrange details.

This instructor-led live training, held in Greece (online or on-site), is designed for beginner to intermediate-level software engineers and anyone wishing to learn how to leverage Vertex AI for performing and completing machine learning activities.

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

• Comprehend the workings of Vertex AI and effectively use it as a machine learning platform.
• Understand key concepts related to machine learning and NLP.
• Know how to train and deploy machine learning models using Vertex AI.

Vertex AI Agent Builder serves as a no-code and low-code platform designed for developing grounded agents that integrate generative models with Retrieval-Augmented Generation (RAG). This capability empowers teams to quickly construct agents leveraging enterprise data and search functionalities to deliver precise, context-sensitive responses.

This instructor-led, live training session, available online or on-site, targets intermediate-level professionals seeking to design, configure, and deploy smart agents utilizing Vertex AI Agent Builder and RAG patterns.

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

• Design grounded agent workflows using Agent Builder.
• Implement RAG pipelines that utilize search and vector stores.
• Securely integrate enterprise data sources for retrieval purposes.
• Evaluate and refine agent behavior through testing and metrics.

Course Format

• Interactive lectures and discussions.
• Practical labs focusing on Vertex AI Agent Builder and RAG components.
• Project-based exercises aimed at building and refining agents.

Customization Options

• To arrange customized training for this course, please get in touch with us.

Vertex AI offers streamlined integration pathways for embedding Gemini models directly into mobile and web applications using Firebase and associated SDKs. This empowers developers and product teams to deliver AI-driven 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 practitioners who wish to integrate Vertex AI Gemini capabilities into their applications using Firebase and related SDKs.

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

• Configure Firebase and SDKs for Vertex AI integration.
• Integrate 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 utilizing 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 arrange.

Vertex AI offers enterprise-grade solutions for managing the entire machine learning lifecycle, focusing on observability, compliance, and operational excellence. Featuring real-time monitoring, data residency controls, grounding capabilities, and integrated Gen AI evaluation, Vertex AI is built to satisfy the rigorous demands of production-level AI systems.

This instructor-led training (available online or onsite) targets intermediate to advanced professionals seeking to deploy, monitor, and govern Vertex AI models within enterprise environments.

Upon completing 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.

Course Format

• Interactive lectures and discussions.
• Hands-on labs utilizing enterprise-grade Vertex AI tools.
• Case studies and compliance-driven scenarios.

Customization Options

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