Vertex AI Training in Tashkent

Vertex AI offers streamlined integration options that allow developers to embed Gemini models directly into mobile and web applications using Firebase and associated SDKs. This empowers development teams and product managers to deliver AI-driven functionalities at the application level, such as intelligent assistants, multimodal input processing, and personalized user experiences.

This instructor-led, live training (available online or onsite) is designed for beginner to intermediate-level professionals who aim to integrate Vertex AI Gemini capabilities into their applications using Firebase and related SDKs.

Upon completing this training, participants will be able to:

• Configure Firebase and SDKs for Vertex AI integration.
• Integrate Gemini-powered features into mobile and web applications.
• Process multimodal inputs, including text, images, and audio, within client-side apps.
• Deploy and monitor AI features in production-grade applications.

Course Format

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

Customization Options

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

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

This instructor-led, live training (available online or on-site) is designed for intermediate to advanced-level professionals seeking to deploy, monitor, and govern Vertex AI models within enterprise environments.

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 group discussions.
• Hands-on labs using enterprise-grade Vertex AI tools.
• Real-world case studies and compliance-focused scenarios.

Course Customization Options

• To request a customized version of this training, please contact us to make arrangements.

Vertex AI offers robust tools for creating multimodal LLM workflows that seamlessly integrate text, audio, and image data into a unified pipeline. Leveraging long context window capabilities and Gemini API parameters, it facilitates the development of sophisticated applications focused on planning, reasoning, and cross-modal intelligence.

This instructor-led live training (available online or onsite) is designed for intermediate to advanced practitioners aiming 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 tackle complex reasoning tasks.
• Design pipelines that effectively combine text, audio, and image analysis.
• Optimize Gemini API parameters to enhance performance and cost-efficiency.

Course Format

• Interactive lectures and discussions.
• Practical labs focused on multimodal workflows.
• Project-based exercises applying multimodal use cases.

Course Customization Options

• To request a customized version of this training, please contact us to arrange.

Vertex AI Agent Builder offers a no-code or low-code platform for creating grounded agents that merge generative models with Retrieval-Augmented Generation (RAG). This enables teams to swiftly construct agents that leverage enterprise data and search capabilities to deliver precise, context-aware responses.

This instructor-led training, available both online and onsite, is designed for intermediate-level professionals looking to design, configure, and deploy smart agents utilizing Vertex AI Agent Builder and RAG patterns.

Upon completing this training, participants will gain the ability to:

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

Course Format

• Interactive lectures and discussions.
• Practical labs using Vertex AI Agent Builder and RAG components.
• Project-based exercises focused on building and refining agents.

Customization Options

• For customized training arrangements, please contact us.

Vertex AI offers sophisticated tools for fine-tuning large models and managing prompts, empowering developers and data teams to enhance model accuracy, streamline iteration workflows, and ensure rigorous evaluation through built-in libraries and services.

This instructor-led, live training (available online or onsite) targets intermediate to advanced practitioners aiming to improve the performance and reliability of generative AI applications using supervised fine-tuning, prompt versioning, and evaluation services within Vertex AI.

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

• Apply supervised fine-tuning techniques to Gemini models in Vertex AI.
• Implement prompt management workflows that include versioning and testing.
• Leverage evaluation libraries to benchmark and optimize AI performance.
• Deploy and monitor improved models in production environments.

Course Format

• Interactive lectures and discussions.
• Hands-on labs featuring Vertex AI fine-tuning and prompt tools.
• Case studies focused on enterprise model optimization.

Course Customization Options

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

Vertex AI offers a unified platform for generative media, featuring models such as Veo for video, Imagen for image creation, Chirp for speech, and Lyria for music. These capabilities support production-ready workflows tailored for creative, marketing, and enterprise applications.

This instructor-led, live training (available online or on-site) is designed for intermediate to advanced professionals who aim to leverage generative AI for creating and deploying multimedia content using Vertex AI.

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

• Generate images, videos, audio, and music using Vertex AI's suite of models.
• Integrate generative media into marketing and product workflows.
• Refine prompts and fine-tune outputs to ensure quality and brand consistency.
• Deploy production-ready generative media solutions within enterprise environments.

Course Format

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

Course Customisation Options

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

This instructor-led, live training in Tashkent (online or onsite) is aimed at intermediate-level developers, data scientists, and tech professionals who wish 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 Tashkent (online or onsite) is aimed at software engineers at beginner to intermediate levels, as well as anyone who wishes to learn how to use Vertex AI for 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.

This instructor-led, live training in Tashkent (online or onsite) is designed for developers at beginner, intermediate, and advanced levels, as well as cloud engineers and technical product teams who wish to utilise 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 effective prompts and workflows, build simple applications using Vertex AI, and apply responsible AI practices.

This instructor-led, live training in Tashkent (online or onsite) is aimed at beginner-level / intermediate-level / advanced-level developers and technical practitioners who wish to use Google Cloud to build AI agents that can automate tasks, use tools, and work 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.