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

This instructor-led, live training session in US (online or onsite) is designed for senior machine learning professionals seeking to master sophisticated transfer learning techniques for application in complex, high-stakes environments.

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

• Demonstrate proficiency in advanced concepts and methodologies for transfer learning.
• Execute domain-specific adaptation strategies for pre-trained models.
• Implement continual learning protocols to manage dynamic task requirements and dataset evolution.
• Optimize multi-task fine-tuning processes to improve model performance across diverse operational tasks.

This instructor-led, live training in US (online or onsite) is targeted at senior AI maintenance engineers and MLOps professionals aiming to implement robust continuous learning pipelines and effective update protocols for operational, fine-tuned models.

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

• Architect and implement continuous learning workflows for production models.
• Mitigate catastrophic forgetting through strategic training and memory administration.
• Automate surveillance and update triggers in response to model drift or data variations.
• Integrate model update protocols into established CI/CD and MLOps infrastructure.

This instructor-led, live training conducted in US (online or on-site) is intended for intermediate-level developers, data scientists, and technical professionals seeking to leverage Google Vertex AI for the creation and deployment of custom AI models for government applications.

Upon completion of this training, participants will possess the following competencies:

• Demonstrate understanding of the capabilities and features of Google Vertex AI.

This instructor-led, live training session in US (delivered online or on-site) is designed for advanced-level professionals seeking to implement fine-tuned models with reliability and efficiency.

By the conclusion of this training, participants will possess the capability to:

• Comprehend the operational challenges associated with the deployment of fine-tuned models.
• Employ containerization and deployment tools, such as Docker and Kubernetes, to manage model workflows.
• Integrate monitoring and logging systems for operational models.
• Optimize model performance to achieve low latency and scalability in practical scenarios.

This instructor-led, live training in US (delivered online or onsite) is intended for intermediate-level professionals aiming to develop practical skills in customizing AI models for critical financial functions.

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

• Comprehend the foundational principles of fine-tuning for financial applications.
• Utilize pre-trained models for specialized tasks in the financial domain.
• Apply methodologies for fraud detection, risk assessment, and the generation of financial advice.
• Ensure regulatory compliance with standards such as GDPR and SOX.
• Integrate robust data security measures and ethical AI practices into financial systems.

This instructor-led, live training in US (available via remote or in-person delivery) is designed for mid-level to senior technical professionals seeking to tailor pre-trained models to meet precise functional and dataset requirements.

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

• Comprehending the fundamental principles of model refinement and its operational applications.
• Preparing and validating data sets for the adaptation of pre-trained models.
• Refining Large Language Models (LLMs) for targeted natural language processing tasks.
• Optimizing model performance metrics and resolving standard technical challenges.

This instructor-led, live training in US (available online or onsite) targets intermediate-level developers and AI practitioners seeking to implement fine-tuning strategies for large models without requiring extensive computational infrastructure.

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

• Comprehending the foundational principles of Low-Rank Adaptation (LoRA).
• Executing LoRA implementations for the efficient fine-tuning of large models.
• Optimizing fine-tuning processes within resource-constrained environments.
• Evaluating and deploying LoRA-adapted models for practical operational use.

This instructor-led, live training, conducted in US (either online or onsite), is tailored for developers, cloud engineers, and technical product teams ranging from beginner to advanced proficiency. The objective is to enable these professionals to utilize Google Cloud generative AI tools to build and evaluate practical AI applications for government and enterprise sectors.

By the conclusion of this training, participants will be able to: understand the scope of Google Cloud generative AI services, construct effective prompts and workflows, develop simple applications using Vertex AI, and implement responsible AI practices in compliance with institutional standards.

Vertex AI delivers a comprehensive platform for generative media, integrating models such as Veo for video synthesis, Imagen for image generation, Chirp for voice processing, and Lyria for music creation. These tools facilitate operational workflows for creative production, strategic communications, and institutional applications.

This guided, live instruction (available online or on-site) targets intermediate to advanced professionals seeking to leverage generative artificial intelligence for multimedia content production and distribution through Vertex AI.

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

• Produce images, videos, audio, and music utilizing the Vertex AI model suite.
• Incorporate generative media into strategic communications and product delivery pipelines.
• Refine prompts and adjust outputs to ensure quality standards and brand consistency.
• Implement production-grade generative media solutions within institutional frameworks.

Instructional Methodology

• Interactive lectures and facilitated discussions.
• Practical exercises involving Vertex AI generative media models.
• Analysis of real-world applications and structured project labs.

Customization Availability

• Interested parties may request tailored instruction for this course by contacting the administrative office.

This instructor-led, live training in US (delivered online or onsite) targets beginner, intermediate, and advanced developers and technical practitioners seeking to utilize Google Cloud to build AI agents for government that can automate tasks, leverage tools, and process business data.

Upon completion of this training, participants will be proficient in: explaining AI agent concepts, building agents with Vertex AI, connecting agents to external tools and data, and deploying agents for government business use cases.

Vertex AI offers robust infrastructure for developing multimodal Large Language Model workflows that consolidate text, audio, and image data into unified processing streams. Through support for extensive context windows and specialized Gemini API parameters, it facilitates advanced capabilities in strategic planning, logical reasoning, and cross-modal intelligence.

This live, instructor-led training (available online or in person) is designed for intermediate to advanced practitioners seeking to design, construct, and refine multimodal AI workflows within Vertex AI.

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

• Utilize Gemini models for processing diverse multimodal inputs and generating outputs.
• Deploy long-context workflows to support complex reasoning tasks.
• Construct pipelines that synthesize text, audio, and image analysis.
• Optimize Gemini API parameters to enhance operational efficiency and cost management.

Instructional Format

• Engaging lectures and facilitated discussions.
• Practical labs focused on multimodal workflow execution.
• Scenario-based exercises targeting applied multimodal use cases.

Customization Opportunities

• For tailored training programs aligned with this curriculum, please contact the appropriate division to coordinate scheduling.

Vertex AI serves as a Google Cloud environment for executing machine learning tasks, encompassing experimentation, deployment, and the ongoing management and monitoring of models. It provides scalable infrastructure with robust user management capabilities and security controls suitable for machine learning projects for government agencies.

This instructor-led, live training (online or onsite) is designed for software engineers or professionals with beginner to intermediate proficiency who seek to utilize Vertex AI for executing and completing machine learning activities.

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

• Comprehend the functionality of Vertex AI and apply it as a machine learning platform.
• Acquire knowledge of machine learning and Natural Language Processing (NLP) concepts.
• Execute the training and deployment of machine learning models using Vertex AI.

Instructional Format

• Interactive lectures and facilitated discussions.
• Extensive exercises and practical application tasks.
• Hands-on implementation within a live-lab environment.

Customization Options

• To request a customized training program tailored for government requirements, please contact the provider to arrange specific configurations.

Vertex AI Agent Builder provides a no-code/low-code framework for developing grounded agents that integrate generative models with retrieval-augmented generation (RAG). This capability enables the rapid construction of agents that leverage enterprise data and search functionalities to deliver precise, context-aware responses for government applications.

This instructor-led, live training course, available online or on-site, is designed for intermediate-level practitioners seeking to design, configure, and deploy intelligent agents utilizing 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 and vector stores.
• Securely integrate enterprise data sources for retrieval purposes.
• Evaluate and refine agent behavior through testing and metric analysis.

Course Structure

• Interactive instruction and collaborative discussion.
• Hands-on laboratories employing Vertex AI Agent Builder and RAG components.
• Project-based exercises focused on building and refining agents.

Customization Opportunities for Government

• To request a customized training curriculum for this course, please contact us to coordinate arrangements.

Vertex AI offers efficient integration methods for incorporating Gemini models directly into mobile and web applications through Firebase and associated software development kits. This facilitates development and product teams in delivering application-level AI capabilities, such as intelligent assistance, multimodal input processing, and tailored user experiences, suitable for government operational contexts.

This instructor-led, live training module (available online or in person) targets practitioners ranging from beginner to intermediate levels who aim to embed Vertex AI Gemini capabilities into applications utilizing Firebase and related tools.

Upon completion of this training, participants will possess the ability to:

• Establish Firebase and software development kits for Vertex AI integration.
• Implement Gemini-driven features within mobile and web applications.
• Manage multimodal inputs, including text, images, and audio, within client applications.
• Deploy and oversee AI features in production-grade applications.

Course Structure

• Interactive instruction and professional discourse.
• Practical exercises utilizing Firebase and Vertex AI software development kits.
• Project-based assignments focused on application-level AI features.

Customization Options for the Course

• To request a tailored training program for this course, please reach out to coordinate arrangements.

Vertex AI offers robust, production-capable tools for overseeing the complete machine learning lifecycle, emphasizing observability, regulatory adherence, and operational efficiency. Through real-time monitoring, data localization controls, model grounding, and integrated generative AI assessment, the platform is engineered to satisfy the rigorous standards of high-availability AI systems for government and enterprise use.

This live, instructor-guided training (available online or on-site) targets intermediate to advanced professionals seeking to deploy, supervise, and regulate Vertex AI models within complex organizational structures.

Upon completion, participants will be equipped to:

• Establish MLOps workflows utilizing Vertex AI.
• Execute real-time monitoring and obtain actionable insights from models.
• Deploy grounding methods and assessment frameworks for generative AI models.
• Enforce compliance and governance measures, including strict data residency protocols.

Instructional Methodology

• Interactive instructional sessions and professional dialogue.
• Applied exercises using enterprise-standard Vertex AI utilities.
• Analysis of case studies and regulatory-compliance scenarios.

Tailored Learning Options

• To initiate a customized training program aligned with specific agency requirements, please contact the program administrators.