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 instructor-led, live training in Turkey (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:

• 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 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.

Vertex AI serves as a comprehensive platform for generative media, featuring specialized 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 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 seeking 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 Vertex AI’s diverse model suite.
• Seamlessly integrate generative media solutions into marketing and product development processes.
• Refine prompts and fine-tune outputs to ensure high quality and brand alignment.
• Deploy enterprise-grade, production-ready generative media systems.

Course Format

• Engaging interactive lectures and discussions.
• Practical exercises involving Vertex AI generative media models.
• Real-world case studies and creative project labs.

Course Customization Options

• For inquiries regarding customized training sessions for this course, please reach out to us directly.

This instructor-led, live training in Turkey (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 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 merge text, audio, and image data into a unified pipeline. Leveraging support for long context windows and specific Gemini API parameters, it facilitates the development of sophisticated applications focused on planning, reasoning, and cross-modal intelligence.

This instructor-led, live training session (available online or on-site) 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 both multimodal inputs and outputs.
• Develop long-context workflows tailored 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 focusing on multimodal workflows.
• Project-based exercises addressing real-world multimodal use cases.

Customization Options

• For customized training arrangements, please contact us directly.

This instructor-led live training in Turkey (available online or on-site) is tailored for software engineers at the beginner to intermediate levels, as well as anyone wishing to learn how to leverage Vertex AI for machine learning activities.

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

• Understand how Vertex AI operates 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.

Vertex AI Agent Builder provides a no-code and low-code platform for constructing grounded agents that merge generative models with retrieval-augmented generation (RAG). This capability enables teams to swiftly develop agents capable of leveraging enterprise data and search functionalities to deliver precise, context-sensitive responses.

This instructor-led training, available in online or onsite formats, is designed for intermediate-level professionals looking to design, configure, and deploy intelligent agents utilizing Vertex AI Agent Builder and RAG methodologies.

Upon completing this training, participants will be equipped to:

• Design grounded agent workflows using Agent Builder.
• Implement RAG pipelines incorporating search and vector storage solutions.
• Safely integrate enterprise data sources for data retrieval.
• Assess and refine agent performance through testing and metric analysis.

Course Format

• Interactive lectures and discussions.
• Practical labs focused on Vertex AI Agent Builder and RAG components.
• Project-based exercises to construct and optimize agents.

Customization Options

• To arrange tailored training for this course, please reach out to us.

Vertex AI offers simplified integration pathways for embedding Gemini models directly into mobile and web applications through Firebase and specialized SDKs. This capability empowers developers and product teams to implement AI-driven functionalities at the application level, including intelligent assistants, multimodal input processing, and tailored user experiences.

This instructor-led, live training session (available online or onsite) is designed for practitioners ranging from beginner to intermediate skill levels who aim to incorporate Vertex AI Gemini functionalities into their applications using Firebase and associated SDKs.

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

• Configure Firebase and SDKs for seamless Vertex AI integration.
• Integrate Gemini-powered features into mobile and web applications.
• Manage multimodal inputs, such as text, images, and audio, within client-side applications.
• Deploy and oversee AI features within production-grade applications.

Course Format

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

Customization Options

• To arrange customized training for this course, please reach out to us.

Vertex AI offers robust, enterprise-grade capabilities for managing the complete machine learning lifecycle, ensuring visibility, regulatory compliance, and operational excellence. By leveraging real-time monitoring, data residency controls, grounding techniques, and integrated Gen AI evaluation features, Vertex AI is engineered to satisfy the rigorous demands of production-level AI systems.

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

Upon completing this training, participants will be equipped to:

• Establish MLOps pipelines utilizing Vertex AI.
• Gain real-time insights to monitor and observe model performance.
• Utilize grounding methods and evaluation tools specifically for Gen AI models.
• Execute compliance and governance strategies, including effective data residency controls.

Course Format

• Engaging lectures and interactive discussions.
• Practical labs featuring enterprise-grade Vertex AI tools.
• Analysis of case studies and compliance-focused scenarios.

Customization Options

• For tailored training solutions, please reach out to us to make arrangements.