Generative Media with Vertex AI: Image, Video, Audio, and Music Training Course

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 seeking to improve the performance and reliability of generative AI applications using supervised fine-tuning, prompt versioning, and evaluation services within Vertex AI.

Upon completing this training, participants will be able to:

• Apply supervised fine-tuning techniques to Gemini models in Vertex AI.
• Implement prompt management workflows, including versioning and testing.
• Utilize 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 on enterprise model optimization.

Course Customization Options

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

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 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.

This instructor-led, live training in Serbia (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 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 integrate text, audio, and image data into a unified pipeline. Supported by long context window capabilities and Gemini API parameters, it facilitates advanced applications in planning, reasoning, and cross-modal intelligence.

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

Upon completing this training, participants will be able to:

• Utilize Gemini models for handling multimodal inputs and outputs.
• Implement long-context workflows to support 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.
• Hands-on labs focused on multimodal workflows.
• Project-based exercises for practical multimodal use cases.

Course Customization Options

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

This instructor-led live training in Serbia (available online or onsite) is designed for beginner to intermediate-level software engineers and anyone interested in learning how to leverage Vertex AI to execute and complete machine learning tasks.

Upon completion of this training, participants will be capable of:

• Understanding the functionality of Vertex AI and applying it as a machine learning platform.
• Learning about fundamental machine learning and NLP concepts.
• Knowing how to train and deploy machine learning models using Vertex AI.

The Vertex AI Agent Builder serves as a no-code/low-code platform designed for constructing grounded agents that merge generative models with Retrieval-Augmented Generation (RAG). This capability enables teams to swiftly develop agents that leverage enterprise data and search functionalities to deliver precise, context-sensitive responses.

This instructor-led, live training session (available online or on-site) targets intermediate practitioners interested in designing, configuring, and deploying intelligent agents using Vertex AI Agent Builder and RAG patterns.

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

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

Course Format

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

Customization Options

• For tailored training requests, please reach out to us to arrange.

Vertex AI offers streamlined integration pathways for embedding Gemini models directly into mobile and web applications through Firebase and SDKs. This approach empowers developers and product teams to deliver AI-driven features at the application level, including 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 practitioners looking to integrate Vertex AI Gemini capabilities into their applications using Firebase and associated SDKs.

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

• Configure Firebase and SDKs for Vertex AI integration.
• Embed Gemini-powered functionalities into mobile and web applications.
• Process multimodal inputs, such as text, images, and audio, within client applications.
• Deploy and monitor AI features in production environments.

Course Format

• Interactive lectures and discussions.
• Practical labs focusing on Firebase and Vertex AI SDKs.
• Project-based exercises to implement AI features at the app level.

Customization Options

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

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

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

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 discussions.
• Hands-on labs with enterprise-grade Vertex AI tools.
• Case studies and compliance-driven scenarios.

Customization Options

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