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

This instructor-led, live training in India (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.

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

• Understand advanced concepts and methodologies in transfer learning.
• Implement domain-specific adaptation techniques for pre-trained models.
• Apply continual learning to manage evolving tasks and datasets.
• Master multi-task fine-tuning to enhance model performance across tasks.

This instructor-led, live training in India (online or onsite) is designed for advanced-level AI maintenance engineers and MLOps professionals who want to implement robust continual learning pipelines and effective update strategies for deployed, fine-tuned models.

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

• Design and implement continual learning workflows for deployed models.
• Mitigate catastrophic forgetting through proper training and memory management.
• Automate monitoring and update triggers based on model drift or data changes.
• Integrate model update strategies into existing CI/CD and MLOps pipelines.

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

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

• Understand the challenges of deploying fine-tuned models into production.
• Containerize and deploy models using tools like Docker and Kubernetes.
• Implement monitoring and logging for deployed models.
• Optimize models for latency and scalability in real-world scenarios.

This instructor-led, live training in India (online or onsite) is aimed at intermediate-level professionals who wish to gain practical skills in customizing AI models for critical financial tasks.

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

• Understand the fundamentals of fine-tuning for finance applications.
• Leverage pre-trained models for domain-specific tasks in finance.
• Apply techniques for fraud detection, risk assessment, and financial advice generation.
• Ensure compliance with financial regulations such as GDPR and SOX.
• Implement data security and ethical AI practices in financial applications.

This instructor-led live training in India (online or onsite) is designed for intermediate to advanced professionals who want to customize pre-trained models for specific tasks and datasets.

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

• Grasp the principles of fine-tuning and its applications.
• Prepare datasets for fine-tuning pre-trained models.
• Fine-tune large language models (LLMs) for NLP tasks.
• Optimize model performance and address common challenges.

This instructor-led live training in India (online or onsite) caters to intermediate-level developers and AI practitioners looking to implement fine-tuning strategies for large models without the burden of heavy computational resources.

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

• Understand the fundamental principles of Low-Rank Adaptation (LoRA).
• Implement LoRA for the efficient fine-tuning of large models.
• Optimise fine-tuning workflows for environments with limited resources.
• Evaluate and deploy LoRA-adapted models for practical use cases.

This instructor-led, live training in India (online or onsite) is designed for 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 comprehensive platform for generative media, featuring powerful models such as Veo for video, Imagen for image creation, Chirp for speech, and Lyria for music. These tools facilitate production-ready workflows tailored for creative, marketing, and enterprise applications.

This instructor-led live training, available either 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 completing this training, participants will be equipped to:

• Generate images, videos, audio, and music using the diverse range of Vertex AI models.
• Seamlessly integrate generative media into marketing and product development workflows.
• Refine prompts and fine-tune outputs to ensure high quality and brand alignment.
• Deploy enterprise-grade, production-ready generative media solutions.

Course Format

• Interactive lectures and discussions.
• Practical exercises utilizing Vertex AI’s generative media models.
• Analysis of real-world case studies and participation in creative project labs.

Customization Options

• For inquiries regarding customized training for this course, please contact us to make arrangements.

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

Vertex AI empowers developers with robust tools to construct multimodal LLM workflows that seamlessly unite text, audio, and image data within a unified pipeline. Leveraging extended context window capabilities and configurable Gemini API parameters, it facilitates the creation of sophisticated applications focused on strategic planning, complex reasoning, and cross-modal intelligence.

This instructor-led live training, available both online and onsite, is tailored for intermediate to advanced practitioners eager to design, develop, and fine-tune multimodal AI workflows on the Vertex AI platform.

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

• Utilize Gemini models effectively for handling diverse multimodal inputs and outputs.
• Construct long-context workflows to tackle intricate reasoning tasks.
• Architect pipelines that successfully integrate text, audio, and image analysis.
• Optimize Gemini API parameters to enhance performance while maintaining cost efficiency.

Course Format

• Engaging lectures and interactive discussions.
• Practical hands-on labs focused on multimodal workflows.
• Project-based exercises designed for real-world multimodal use cases.

Customization Options

• For organizations seeking a tailored training experience, please reach out to us to discuss custom arrangements.

This instructor-led live training, conducted at India (online or onsite), targets beginner to intermediate-level software engineers and anyone eager to learn how to utilize Vertex AI for performing and completing machine learning activities.

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

• Comprehend how Vertex AI functions and utilize it as a machine learning platform.
• Understand key machine learning and NLP concepts.
• Know the procedures for training and deploying machine learning models using Vertex AI.

Vertex AI Agent Builder provides a no-code/low-code platform for developing grounded agents that integrate generative models with Retrieval-Augmented Generation (RAG). This enables teams to quickly create agents capable of leveraging enterprise data and search capabilities to deliver precise, context-aware responses.

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

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

• Create grounded agent workflows using Agent Builder.
• Build RAG pipelines utilizing search and vector storage.
• Securely integrate enterprise data sources for retrieval.
• Assess and refine agent performance 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 refine agents.

Customization Options for the Course

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

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

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

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 apps.
• Handle multimodal inputs such as text, image, and audio in client apps.
• 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 us to arrange.

Vertex AI delivers enterprise-grade solutions for managing the end-to-end machine learning lifecycle, encompassing observability, regulatory compliance, and operational excellence. Equipped with 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 live training, available either online or onsite, targets intermediate to advanced professionals seeking to deploy, monitor, and govern Vertex AI models within enterprise settings.

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

• Establish MLOps pipelines leveraging Vertex AI.
• Monitor and observe model performance with real-time insights.
• Utilize grounding techniques and evaluation tools for Generative AI models.
• Implement robust compliance and governance strategies, including data residency controls.

Course Format

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

Customization Options

• For organizations seeking tailored training for this course, please contact us to arrange a customized session.