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

This instructor-led, live training Serbia (online or on-site) targets advanced 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 Serbia (online or onsite) is aimed at advanced-level 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 Serbia (online or onsite) is tailored for intermediate-level developers, data scientists, and tech professionals who want to utilize Google Vertex AI to build 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 Serbia (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 Serbia (online or onsite) is designed for intermediate-level professionals who want to develop practical skills in customizing AI models for critical financial tasks.

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

• Comprehend the core principles of fine-tuning for financial applications.
• Utilize pre-trained models for finance-specific tasks.
• Apply methods for detecting fraud, assessing risk, and generating financial advice.
• Ensure adherence to financial regulations, including GDPR and SOX.
• Execute data security measures and ethical AI standards within financial applications.

This instructor-led, live training in Serbia (online or onsite) is aimed at intermediate-level to advanced-level professionals who wish 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 Serbia (online or onsite) targets intermediate-level developers and AI practitioners aiming 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:

• Grasp the principles of Low-Rank Adaptation (LoRA).
• Utilize 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 Serbia (online or onsite) is designed for beginner, intermediate, and advanced-level developers, cloud engineers, and technical product teams seeking 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, develop simple applications using Vertex AI, and implement responsible AI practices.

Vertex AI offers a consolidated platform for generative media, featuring specialized models such as Veo for video production, Imagen for image generation, Chirp for speech processing, and Lyria for music composition. These tools empower organizations to establish robust, production-ready workflows tailored for creative, marketing, and enterprise applications.

Designed as an instructor-led live training session (available online or onsite), this program targets intermediate to advanced professionals eager 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:

• Create images, videos, audio clips, and music utilizing Vertex AI’s diverse model portfolio.
• Seamlessly integrate generative media capabilities into marketing and product development workflows.
• Refine prompts and fine-tune outputs to ensure high quality and alignment with brand standards.
• Implement 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 creative project labs.

Customization Options

• For tailored training sessions, please reach out to us to arrange specifics.

This instructor-led, live training in Serbia (online or onsite) is designed for beginner, intermediate, and advanced developers and technical practitioners who wish to use Google Cloud to build AI agents that 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 creating multimodal LLM workflows that seamlessly integrate text, audio, and image data into a unified pipeline. Supported by long context window capabilities and Gemini API parameters, it facilitates advanced applications in planning, reasoning, and cross-modal intelligence.

This instructor-led, live training (available online or onsite) is designed for intermediate to advanced practitioners looking 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 enable complex reasoning.
• Design 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.
• Hands-on labs focused on multimodal workflows.
• Project-based exercises addressing applied multimodal use cases.

Customization Options

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

This instructor-led live training in Serbia (available online or onsite) is designed for beginner to intermediate-level software engineers and anyone interested in learning how to leverage Vertex AI to execute and complete machine learning tasks.

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

• Understanding the functionality of Vertex AI and applying it as a machine learning platform.
• Learning about fundamental machine learning and NLP concepts.
• Knowing how to train and deploy machine learning models using Vertex AI.

Vertex AI Agent Builder provides a no-code or low-code platform for constructing grounded agents that integrate generative models with Retrieval-Augmented Generation (RAG). This capability empowers teams to swiftly develop agents that leverage enterprise data and search functionalities to deliver precise, contextually aware responses.

This instructor-led, live training session, available in online or onsite formats, targets intermediate-level practitioners looking to design, configure, and deploy intelligent agents using Vertex AI Agent Builder and RAG methodologies.

Upon completing this training, participants will be able to:

• Design grounded agent workflows utilizing Agent Builder.
• Implement RAG pipelines incorporating search and vector storage solutions.
• 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 featuring Vertex AI Agent Builder and RAG components.
• Project-based exercises focused on building and refining agents.

Customization Options

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

Vertex AI offers streamlined integration pathways for embedding Gemini models directly within mobile and web applications through Firebase and associated SDKs. This approach empowers developers and product teams to deliver advanced AI capabilities at the application level, including intelligent assistants, multimodal input processing, and highly personalized user experiences.

This instructor-led live training, available both online and onsite, is designed for beginner to intermediate-level professionals looking to incorporate Vertex AI Gemini capabilities into their applications using Firebase and related SDKs.

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

• Configure Firebase and SDKs for seamless Vertex AI integration.
• Integrate Gemini-driven functionalities into mobile and web applications.
• Manage multimodal inputs, such as text, images, and audio, within client-side applications.
• Deploy and monitor AI-enhanced features in production environments.

Course Format

• Interactive lectures and group discussions.
• Practical hands-on labs utilizing Firebase and Vertex AI SDKs.
• Project-based exercises focused on implementing app-level AI features.

Course Customization Options

• For customized training solutions, please contact us to arrange your specific requirements.

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

This instructor-led training, available online or on-site, targets intermediate to advanced professionals looking to deploy, monitor, and govern Vertex AI models within enterprise settings.

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 with enterprise-grade Vertex AI tools.
• Case studies and compliance-driven scenarios.

Customization Options

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