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 live, instructor-led training module, conducted either online or on-site in Serbia, is tailored for mid-level professionals looking to acquire practical skills in adapting AI models for essential financial operations.

Upon finishing the program, participants will be equipped to:

• Comprehend the foundational aspects of fine-tuning AI for financial use cases.
• Leverage pre-trained models to handle specific financial workflows.
• Apply specialized methods for fraud detection, risk analysis, and the generation of financial advice.
• Maintain strict compliance with regulations such as GDPR and SOX.
• Integrate comprehensive data security and ethical AI practices into financial systems.

This instructor-led, live training in Serbia (available online or onsite) is designed for intermediate 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.

Gain expertise in generative media production using Vertex AI models like Imagen and Veo. This instructor-led session in Serbia focuses on hands-on labs for generating images, video, and audio, enabling professionals to construct production-ready workflows for creative and enterprise marketing initiatives.

This instructor-led, live training in Serbia (available online or on-site) is designed for developers and technical practitioners from beginner to advanced levels who want to leverage Google Cloud to build AI agents that automate tasks, utilize tools, and interact with business data.

By the conclusion of this training, participants will be able to: explain AI agent concepts, construct agents using Vertex AI, connect agents to external tools and data, and deploy agents for business use cases.

This live training in Serbia empowers practitioners to design, construct, and optimize multimodal LLM workflows using Vertex AI. The curriculum covers Gemini models, long-context reasoning, and the creation of pipelines that integrate text, audio, and image data. Through hands-on labs, participants gain practical skills essential for real-world deployment.

This live, instructor-led course in Serbia focuses on the design of grounded agents using Vertex AI Agent Builder and RAG. Participants will learn to implement pipelines, securely integrate enterprise data, and evaluate agent behavior. It is ideally suited for intermediate practitioners looking to build sophisticated solutions.

This instructor-led course in Serbia prepares developers to integrate Gemini models into mobile and web applications via Firebase and SDKs. The curriculum covers environment configuration, multimodal input management, and the deployment of AI-powered features to production settings, all while adhering to industry best practices.

This instructor-led training in Serbia focuses on enterprise MLOps, real-time monitoring, and compliance strategies for Vertex AI. Participants will develop hands-on competencies in constructing pipelines, grounding Gen AI models, and enforcing data residency controls to drive operational excellence.