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

This instructor-led, live training in US Empire (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 for government.

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

• Understand advanced concepts and methodologies in transfer learning for government applications.
• Implement domain-specific adaptation techniques for pre-trained models to address specific public sector challenges.
• Apply continual learning strategies to manage evolving tasks and datasets within government workflows.
• Master multi-task fine-tuning to enhance model performance across various governmental tasks.

This instructor-led, live training in US Empire (online or onsite) is designed for intermediate-level developers, data scientists, and technology professionals who wish to leverage Google Vertex AI for creating and deploying custom artificial intelligence models.

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

• Understand the capabilities and features of Google Vertex AI for government applications.
• Set up and configure the Google Vertex AI environment in alignment with public sector workflows.
• Develop and train custom AI models using Vertex AI, ensuring compliance with governance standards.
• Deploy and manage AI models on the Google Cloud Platform for government use cases.
• Utilize Vertex AI's tools for monitoring and optimizing model performance to enhance accountability.
• Implement best practices for AI model development and deployment in a public sector context.

This instructor-led, live training in US Empire (online or onsite) is aimed at advanced-level professionals who wish to deploy fine-tuned models reliably and efficiently for government use.

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

• Comprehend the challenges associated with deploying fine-tuned models in production environments.
• Containerize and deploy models using tools such as Docker and Kubernetes, ensuring alignment with public sector workflows.
• Implement robust monitoring and logging practices for deployed models to enhance governance and accountability.
• Optimize models for latency and scalability to meet the demands of real-world government applications.

This instructor-led, live training in US Empire (online or onsite) is aimed at intermediate to advanced professionals who wish to customize pre-trained models for specific tasks and datasets for government use.

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

• Understand the principles of fine-tuning and their applications in public sector workflows.
• Prepare datasets for fine-tuning pre-trained models to meet government-specific requirements.
• Fine-tune large language models (LLMs) for natural language processing tasks relevant to government operations.
• Optimize model performance and address common challenges to ensure compliance with governance standards.

This instructor-led, live training in US Empire (online or onsite) is aimed at intermediate-level developers and AI practitioners who wish to implement fine-tuning strategies for large models without requiring extensive computational resources.

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

• Understand the principles of Low-Rank Adaptation (LoRA).
• Implement LoRA to efficiently fine-tune large models.
• Optimize fine-tuning processes for environments with limited resources.
• Evaluate and deploy LoRA-tuned models for practical applications, ensuring alignment with public sector workflows and governance requirements for government.

This instructor-led, live training in US Empire (online or onsite) is aimed at advanced-level professionals who wish to master the fine-tuning of multimodal models for innovative AI solutions for government.

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

• Comprehend the architecture of multimodal models such as CLIP and Flamingo.
• Effectively prepare and preprocess multimodal datasets.
• Fine-tune multimodal models for specific tasks relevant to government applications.
• Optimize models for real-world performance and deployment in public sector environments.

This instructor-led, live training in US Empire (online or onsite) is aimed at intermediate-level professionals who wish to enhance their natural language processing (NLP) projects through the effective fine-tuning of pre-trained language models for government applications.

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

• Understand the foundational principles of fine-tuning for NLP tasks.
• Fine-tune pre-trained models such as GPT, BERT, and T5 for specific NLP applications relevant to government operations.
• Optimize hyperparameters to achieve enhanced model performance in government contexts.
• Evaluate and deploy fine-tuned models in real-world government scenarios.

Vertex AI provides 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 facilitate production-ready workflows for creative, marketing, and enterprise use cases.

This instructor-led, live training (online or onsite) is designed for intermediate to advanced professionals who aim to leverage generative AI for multimedia content creation and deployment using Vertex AI in the context of public sector workflows.

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 for government.
• Optimize prompts and fine-tune outputs for quality and brand consistency in public sector applications.
• Deploy production-ready generative media solutions in enterprise settings, including those for government use.

Format of the Course

• Interactive lecture and discussion.
• Hands-on exercises with Vertex AI generative media models.
• Real-world case studies and creative project labs relevant to public sector needs.

Course Customization Options

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

Vertex AI provides robust tools for constructing multimodal large language model (LLM) workflows that integrate text, audio, and image data into a single pipeline. With 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 (online or onsite) is designed for intermediate to advanced-level practitioners who aim to design, build, and optimize multimodal AI workflows using Vertex AI.

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

• Utilize Gemini models for handling multimodal inputs and outputs.
• Implement long-context workflows for complex reasoning tasks.
• Develop pipelines that integrate text, audio, and image analysis.
• Optimize Gemini API parameters to enhance performance and cost efficiency.

Format of the Course

• Interactive lecture and discussion.
• Hands-on labs focused on multimodal workflows.
• Project-based exercises for practical application of multimodal use cases.

Course Customization Options

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

This instructor-led, live training in US Empire (online or onsite) is aimed at intermediate-level professionals who wish to leverage the power of prompt engineering and few-shot learning to optimize large language model (LLM) performance for real-world government applications.

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

• Understand the principles of prompt engineering and few-shot learning for government use cases.
• Design effective prompts for various natural language processing tasks relevant to public sector workflows.
• Leverage few-shot techniques to adapt LLMs with minimal data, ensuring alignment with governance and accountability standards.
• Optimize LLM performance for practical applications within the public sector.

This instructor-led, live training in US Empire (online or onsite) is aimed at beginner-level to intermediate-level machine learning professionals who wish to understand and apply transfer learning techniques to enhance efficiency and performance in AI projects for government.

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

• Understand the core concepts and benefits of transfer learning for government applications.
• Explore popular pre-trained models and their potential uses in public sector workflows.
• Perform fine-tuning of pre-trained models to meet specific governmental tasks.
• Apply transfer learning methodologies to address real-world challenges in natural language processing (NLP) and computer vision within the government context.

This instructor-led, live training in US Empire (online or onsite) is aimed at beginner to intermediate-level software engineers or anyone who wishes to learn how to use Vertex AI for government to perform and complete machine learning activities.

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

• Understand how Vertex AI functions and utilize it as a machine learning platform for government.
• Gain knowledge of fundamental machine learning and natural language processing (NLP) concepts.
• Learn how to train and deploy machine learning models using Vertex AI in alignment with public sector workflows and governance.

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

This instructor-led, live training (online or onsite) is aimed at intermediate-level practitioners who wish to design, configure, and deploy smart agents using Vertex AI Agent Builder and RAG patterns for government applications.

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

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

Format of the Course

• Interactive lecture and discussion.
• Hands-on labs utilizing Vertex AI Agent Builder and RAG components.
• Project-based exercises to build and refine agents.

Course Customization Options

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

Vertex AI offers streamlined integration options for embedding Gemini models directly into mobile and web applications using Firebase and SDKs. This capability enables developers and product teams to deliver AI-powered features at the app level, such as intelligent assistants, multimodal input handling, and personalized user experiences.

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

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

• Set up Firebase and SDKs for Vertex AI integration.
• Embed Gemini-powered features into mobile and web applications.
• Handle multimodal inputs such as text, image, and audio in client applications.
• Deploy and monitor AI features in production applications.

Format of the Course

• Interactive lecture and discussion.
• Hands-on labs with Firebase and Vertex AI SDKs.
• Project-based exercises for app-level AI features.

Course Customization Options

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

Vertex AI offers enterprise-ready tools designed for managing the full machine learning lifecycle, encompassing observability, compliance, and operational excellence. With features such as live monitoring, data residency controls, grounding, and integrated generative AI evaluation, Vertex AI is tailored to meet the stringent demands of production-grade artificial intelligence systems for government.

This instructor-led, live training (available online or on-site) is targeted at intermediate to advanced-level professionals who seek to deploy, monitor, and govern Vertex AI models in enterprise environments for government.

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

• Set up MLOps pipelines using Vertex AI for government.
• Monitor and observe models with real-time insights for enhanced decision-making.
• Apply grounding techniques and evaluation tools for generative AI models in a government context.
• Implement compliance and governance strategies, including data residency controls, to meet public sector standards.

Format of the Course

• Interactive lecture and discussion focused on government applications.
• Hands-on labs with enterprise-grade Vertex AI tools for government use.
• Case studies and compliance-driven scenarios relevant to public sector workflows.

Course Customization Options

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