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

This instructor-led, live training in the UAE (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 the UAE (online or onsite) is designed for 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.

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 the UAE (available online or onsite) is designed for intermediate-level developers, data scientists, and technology professionals seeking to utilize Google Vertex AI for creating and deploying custom AI models.

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

• Gain a comprehensive understanding of Google Vertex AI's capabilities and features.
• Set up and configure the Google Vertex AI environment.
• Develop and train custom AI models leveraging Vertex AI.
• Deploy and manage AI models within the Google Cloud Platform.
• Employ Vertex AI's tools to monitor and enhance model performance.
• Apply best practices for AI model development and deployment.

This instructor-led, live training in the UAE (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 the UAE (online or onsite) is aimed at intermediate-level professionals who wish to gain 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 the UAE (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 the UAE (online or onsite) is designed for intermediate-level developers and AI practitioners aiming to implement fine-tuning strategies for large models without the necessity for extensive computational resources.

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

• Understand the core principles of Low-Rank Adaptation (LoRA).
• Implement LoRA for the efficient fine-tuning of large models.
• Optimize fine-tuning for environments with limited resources.
• Evaluate and deploy LoRA-tuned models for practical use cases.

This instructor-led, live training in the UAE (online or onsite) is aimed at beginner-level, intermediate-level, and advanced-level developers, cloud engineers, and technical product teams who wish 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, build simple applications with Vertex AI, and apply responsible AI practices.

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

This live, instructor-led 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 via Vertex AI.

Upon completing this training, participants will be equipped to:

• Create images, videos, audio, and music utilizing Vertex AI's model suite.
• Seamlessly integrate generative media into marketing and product development workflows.
• Refine prompts and fine-tune outputs to ensure high quality and alignment with brand standards.
• Deploy scalable, production-ready generative media solutions within enterprise environments.

Course Format

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

Customization Options

• For bespoke training arrangements, please reach out to us to discuss your needs.

This instructor-led live training in the UAE (online or onsite) is designed for developers and technical practitioners at beginner, intermediate, and advanced levels. Participants will learn to use Google Cloud to build AI agents that automate tasks, utilize tools, and process business data.

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

Vertex AI offers robust tools for constructing multimodal LLM workflows that seamlessly integrate text, audio, and image data into a unified pipeline. Leveraging support for long context windows and configurable Gemini API parameters, the platform enables sophisticated applications focused on planning, reasoning, and cross-modal intelligence.

This instructor-led, live training, available online or on-site, targets intermediate to advanced practitioners aiming to design, build, and optimize multimodal AI workflows within Vertex AI.

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

• Utilize Gemini models for processing multimodal inputs and generating outputs.
• Implement long-context workflows to facilitate complex reasoning tasks.
• Design pipelines that effectively combine text, audio, and image analysis.
• Optimize Gemini API parameters to enhance performance and ensure cost efficiency.

Course Format

• Interactive lectures and discussions.
• Practical labs focused on multimodal workflows.
• Project-based exercises applied to real-world multimodal use cases.

Customization Options

• For customized training arrangements, please contact us.

This instructor-led, live training in the UAE (online or onsite) is aimed at beginner to intermediate-level software engineers or anyone who wish 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.

Vertex AI Agent Builder provides a no-code/low-code environment for crafting grounded agents that merge generative models with Retrieval-Augmented Generation (RAG). This enables teams to quickly construct agents that leverage enterprise data and search capabilities to deliver precise, contextually relevant responses.

This instructor-led, live training session (available online or onsite) targets intermediate-level professionals looking to design, configure, and deploy intelligent agents utilizing Vertex AI Agent Builder and RAG architectures.

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

• Design grounded agent workflows using Agent Builder.
• Implement RAG pipelines integrating search and vector stores.
• Securely integrate enterprise data sources for retrieval.
• Evaluate and refine agent behavior through testing and metrics.

Course Format

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

Customization Options

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

Vertex AI offers streamlined integration pathways for embedding Gemini models directly into mobile and web applications through Firebase and related SDKs. This empowers developers and product teams to deliver advanced, AI-driven functionalities at the application level, including intelligent virtual assistants, multimodal input processing, and personalized user experiences.

This instructor-led, live training session (available online or onsite) is designed for beginner to intermediate-level practitioners looking to incorporate Vertex AI Gemini capabilities into their applications using Firebase and associated SDKs.

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

• Configure Firebase and SDKs for seamless Vertex AI integration.
• Integrate Gemini-powered features into both 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 accompanied by group discussions.
• Practical, hands-on labs utilizing Firebase and Vertex AI SDKs.
• Project-based exercises focused on implementing app-level AI features.

Customization Options

• For organizations seeking a tailored training experience for this course, please reach out to us to arrange a customized session.

Vertex AI delivers enterprise-grade tools designed to manage the entire machine learning lifecycle, encompassing observability, compliance, and operational excellence. Featuring live monitoring, data residency controls, grounding capabilities, and integrated Gen AI evaluation, Vertex AI is engineered to support the rigorous demands of production-level AI systems.

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

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

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

Course Format

• Interactive lectures and discussions.
• Practical labs featuring enterprise-grade Vertex AI tools.
• Case studies and scenarios focused on compliance.

Course Customization Options

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