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

This instructor-led, live training in Turkey (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 Turkey (online or onsite) targets advanced-level AI maintenance engineers and MLOps professionals who aim to implement robust continual learning pipelines and effective update strategies for deployed, fine-tuned models.

Upon completing this training, participants will be able to:

• Design and implement continual learning workflows for deployed models.
• Reduce catastrophic forgetting through proper training techniques 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 Turkey (online or on-site) targets intermediate-level developers, data scientists, and tech professionals who aim 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 Turkey (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 in Turkey (online or onsite) is tailored for intermediate-level professionals aiming to acquire practical skills in customizing AI models for vital financial duties.

By the conclusion of this program, participants will have the capability to:

• Comprehend the basics of fine-tuning models for financial uses.
• Employ pre-trained models for specialized financial tasks.
• Utilize methods for fraud detection, risk evaluation, and creating financial advice.
• Adhere to financial regulations like GDPR and SOX.
• Apply data security and ethical AI standards in financial contexts.

This instructor-led, live training in Turkey (online or onsite) is designed for intermediate to advanced professionals looking to customize pre-trained models for specific tasks and datasets.

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

• Grasp the principles of refining and its applications.
• Prepare datasets for refining pre-trained models.
• Refine large language models (LLMs) for NLP tasks.
• Optimize model performance and address common challenges.

This instructor-led live training Turkey (online or onsite) is designed for intermediate-level developers and AI practitioners seeking to implement fine-tuning strategies for large models without the need for substantial computational resources.

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

• Understand the fundamental principles of Low-Rank Adaptation (LoRA).
• Implement LoRA for the efficient fine-tuning of large models.
• Optimize fine-tuning workflows for resource-constrained environments.
• Evaluate and deploy LoRA-tuned models for practical, real-world applications.

This instructor-led, live training in Turkey (online or onsite) targets developers, cloud engineers, and technical product teams at beginner, intermediate, and advanced levels who aim to utilize 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, craft prompts and workflows, construct simple applications using Vertex AI, and apply responsible AI practices.

Gain expertise in generative media creation using Vertex AI models such as Imagen and Veo. This instructor-led training in Turkey includes hands-on labs for producing images, video, and audio, empowering professionals to establish production-ready workflows for creative and enterprise marketing initiatives.

This instructor-led, live training in Turkey (available online or onsite) is designed for developers and technical practitioners at beginner, intermediate, or advanced levels who intend to use Google Cloud to develop AI agents capable of automating tasks, utilizing tools, and interacting with business data.

By the conclusion of this training, participants will be able to: articulate AI agent concepts, develop agents using Vertex AI, link agents to external tools and data, and deploy agents for specific business scenarios.

This live training in Turkey empowers practitioners to architect, build, and refine multimodal LLM workflows on Vertex AI. The curriculum explores Gemini models, long-context reasoning, and integrated pipelines for text, audio, and image data. Through hands-on labs, participants gain practical skills ready for real-world implementation.

Offered in Turkey, this live, instructor-led training focuses on crafting grounded agents using Vertex AI Agent Builder and RAG. Participants will learn to construct pipelines, securely integrate enterprise data, and assess agent behavior. This course is ideal for intermediate practitioners looking to build sophisticated intelligent solutions.

This instructor-led training in Turkey empowers developers to integrate Gemini models into mobile and web applications using Firebase and SDKs. The curriculum covers environment configuration, multimodal input management, and the deployment of AI-enhanced features to production settings while adhering to industry best practices.

This instructor-led program in Turkey focuses on enterprise MLOps, real-time monitoring, and compliance strategies within Vertex AI. Learners will develop practical skills in pipeline construction, Gen AI grounding, and enforcing data residency rules to achieve operational excellence.