Vertex AI Embedded & Mobile: Gemini in Apps via Firebase & SDKs Training Course

Vertex AI equips developers and data teams with sophisticated tools for fine-tuning large models and managing prompts. These capabilities allow you to enhance model accuracy, streamline iteration processes, and maintain rigorous evaluation standards through integrated libraries and services.

This instructor-led live training, available either online or onsite, is designed for intermediate to advanced practitioners seeking to boost the performance and reliability of generative AI applications. The course focuses on 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.
• Utilise evaluation libraries to benchmark and optimise AI performance.
• Deploy and monitor improved models within production environments.

Course Format

• Interactive lectures and discussions.
• Practical labs involving Vertex AI fine-tuning and prompt tools.
• Case studies focused on enterprise model optimisation.

Course Customisation Options

• For bespoke training requirements, please contact us to arrange a tailored session.

This instructor-led, live training in South Africa (online or onsite) targets intermediate-level developers, data scientists, and technology professionals keen on leveraging Google Vertex AI to create and deploy custom AI models.

Upon completing this training, participants will be able to:

• Grasp 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.
• Use Vertex AI's tools to monitor and optimise model performance.
• Apply best practices for AI model development and deployment.

This instructor-led, live training in South Africa (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 offers a consolidated platform for generative media, featuring powerful models such as Veo for video production, Imagen for image creation, Chirp for speech synthesis, and Lyria for music generation. These tools empower the development of robust workflows tailored for creative, marketing, and enterprise applications.

This instructor-led live training, available online or onsite, is designed for intermediate to advanced professionals aiming to leverage generative AI for the creation and deployment of multimedia content via Vertex AI.

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

• Utilising Vertex AI’s model suite to generate images, videos, audio, and music.
• Seamlessly integrating generative media into marketing and product development workflows.
• Refining prompts and fine-tuning outputs to ensure high quality and adherence to brand guidelines.
• Deploying production-ready generative media solutions within enterprise environments.

Course Format

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

Customisation Options

• To arrange customised training for this course, please contact us to discuss your requirements.

This instructor-led, live training in South Africa (online or onsite) is aimed at beginner-level, intermediate-level, and advanced-level developers and technical practitioners who wish to use Google Cloud to build AI agents that can automate tasks, utilise 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 equips users with robust tools for constructing multimodal LLM workflows, seamlessly integrating text, audio, and image data into a unified pipeline. Featuring support for long context windows and Gemini API parameters, it facilitates advanced applications in 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 optimise multimodal AI workflows within Vertex AI.

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

• Leverage Gemini models to handle multimodal inputs and outputs.
• Implement long-context workflows for complex reasoning tasks.
• Design pipelines that integrate text, audio, and image analysis.
• Optimise Gemini API parameters for enhanced performance and cost efficiency.

Course Format

• Interactive lectures and discussions.
• Hands-on labs focused on multimodal workflows.
• Project-based exercises addressing applied multimodal use cases.

Course Customisation Options

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

This instructor-led live training, conducted in South Africa (online or onsite), is designed for software engineers at beginner to intermediate levels, as well as anyone wishing to learn how to leverage Vertex AI for machine learning activities.

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

• Understand the mechanics of Vertex AI and employ it as a machine learning platform.
• Learn about essential concepts in machine learning and NLP.
• Acquire the skills to train and deploy machine learning models using Vertex AI.

Vertex AI Agent Builder provides a no-code/low-code environment for creating grounded agents that integrate generative models with retrieval-augmented generation (RAG). This empowers teams to swiftly build agents that leverage enterprise data and search capabilities to deliver precise, context-aware responses.

This instructor-led training, available online or onsite, is designed for intermediate-level professionals aiming to design, configure, and deploy smart agents using Vertex AI Agent Builder and RAG architectures.

Upon completion of this course, participants will be able 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 behaviour through testing and metrics.

Course Format

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

Customisation Options

• To arrange bespoke training for this course, please contact us to make the necessary arrangements.

Vertex AI offers enterprise-grade solutions designed to manage the entire machine learning lifecycle, encompassing observability, compliance, and operational excellence. Featuring real-time monitoring, data residency controls, grounding capabilities, and integrated Gen AI evaluation, Vertex AI is engineered to satisfy 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 contexts.

Upon completing this training, participants will be equipped to:

• Establish MLOps pipelines utilising Vertex AI.
• Monitor and gain real-time insights into model performance.
• Apply grounding techniques and evaluation tools for Gen AI models.
• Implement robust compliance and governance strategies, including data residency controls.

Course Format

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

Customization Options

• For tailored training on this course, please reach out to us to arrange.