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

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

Upon completion of 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 improve model performance across various tasks.

This instructor-led, live training in Bulgaria (online or onsite) is designed for advanced AI maintenance engineers and MLOps professionals who wish to implement robust continuous 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 continuous learning workflows for deployed models.
• Prevent catastrophic forgetting through appropriate 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 Bulgaria (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.

Upon completion 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 Bulgaria (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 Bulgaria (online or onsite) is designed for intermediate-level professionals aiming to develop practical skills in customizing AI models for critical financial tasks.

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

• Grasping the core principles of fine-tuning for financial applications.
• Utilizing pre-trained models for finance-specific tasks.
• Applying methods for fraud detection, risk assessment, and generating financial advice.
• Ensuring adherence to financial regulations such as GDPR and SOX.
• Executing data security measures and ethical AI standards in financial solutions.

This instructor-led, live training in Bulgaria (online or onsite) is designed for intermediate-level to advanced-level professionals who want to customize pre-trained models for particular tasks and datasets.

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

• Grasp the principles of fine-tuning and its various 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 Bulgaria (online or onsite) is aimed at intermediate-level developers and AI practitioners who wish to implement fine-tuning strategies for large models without the need for 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, conducted in Bulgaria (online or onsite), targets beginner, intermediate, and advanced developers, cloud engineers, and technical product teams seeking to utilize Google Cloud generative AI tools to build and assess practical AI applications.

By the end of this course, participants will be able to comprehend Google Cloud's generative AI services, design prompts and workflows, develop simple applications using Vertex AI, and implement responsible AI practices.

Vertex AI serves as a comprehensive platform for generative media, featuring powerful 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 robust, production-ready workflows tailored for creative, marketing, and enterprise applications.

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

Upon completing this course, participants will be equipped to:

• Produce images, videos, audio, and music utilizing Vertex AI’s diverse model portfolio.
• Seamlessly integrate generative media tools into marketing and product development processes.
• Refine prompts and fine-tune outputs to ensure high quality and alignment with brand identity.
• Deploy scalable, 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 laboratories.

Customization Options

• To arrange a tailored training session for this course, please contact us directly.

This instructor-led live training in Bulgaria (available online or on-site) is designed for beginner, intermediate, and advanced developers and technical practitioners who intend to use Google Cloud to build AI agents that can automate tasks, utilize tools, and interact with 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 seamlessly integrate text, audio, and image data within a unified pipeline. By leveraging extensive context window capabilities and Gemini API parameters, the platform empowers the development of sophisticated applications focused on planning, reasoning, and cross-modal intelligence.

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

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

• Utilize Gemini models for handling multimodal inputs and outputs.
• Implement long-context workflows to facilitate complex reasoning.
• Construct pipelines that effectively combine 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 applied multimodal use cases.

Customization Options

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

This instructor-led live training, conducted in Bulgaria (either online or onsite), is designed for software engineers at beginner to intermediate levels, as well as anyone wishing 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.

The Vertex AI Agent Builder provides a no-code and low-code platform designed for constructing grounded agents. By integrating generative models with retrieval-augmented generation (RAG), it enables teams to quickly develop agents that leverage enterprise data and search capabilities to deliver precise, context-sensitive responses.

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

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

• Construct grounded agent workflows utilizing Agent Builder.
• Develop RAG pipelines incorporating search and vector storage solutions.
• Securely integrate enterprise data sources for effective retrieval.
• Assess and refine agent performance through testing and key metrics.

Course Format

• Interactive lectures paired with group discussions.
• Practical laboratory sessions focused on Vertex AI Agent Builder and RAG components.
• Project-based assignments aimed at building and optimizing agents.

Customization Opportunities

• For tailored training requirements, please reach out to us to discuss arrangements.

Vertex AI offers simplified 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 practitioners looking to incorporate Vertex AI Gemini capabilities into applications using Firebase and associated SDKs.

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

• Configure Firebase and SDKs for Vertex AI integration.
• Incorporate Gemini-powered functionalities into mobile and web applications.
• Process multimodal inputs, such as text, images, and audio, within client applications.
• Deploy and monitor AI features in live production environments.

Course Format

• Interactive lectures and discussions.
• Practical labs involving Firebase and Vertex AI SDKs.
• Project-based exercises focused on implementing AI features at the app level.

Customization Options

• For tailored training requests, please contact us to arrange a customized session.

Vertex AI delivers enterprise-grade tools designed to manage the entire machine learning lifecycle, ensuring robust observability, compliance, and operational excellence. By leveraging features such as real-time monitoring, strict data residency controls, data grounding, and integrated Gen AI evaluation, Vertex AI is engineered to satisfy the rigorous demands of production-level AI systems.

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

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

• Establish MLOps pipelines using Vertex AI.
• Monitor and gain real-time insights into model performance.
• Utilize grounding techniques and evaluation tools for Gen AI models.
• Implement robust compliance and governance strategies, including data residency controls.

Course Format

• Interactive lectures and discussions.
• Practical labs utilizing enterprise-grade Vertex AI tools.
• Analysis of case studies and compliance-driven scenarios.

Customization Options

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