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

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

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

• Understand 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 Nepal (online or onsite) is aimed at intermediate-level developers and AI practitioners who wish to implement fine-tuning strategies for large models without the need for extensive computational resources.

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

• Understand the principles of Low-Rank Adaptation (LoRA).
• Implement LoRA for efficient fine-tuning of large models.
• Optimize fine-tuning for resource-constrained environments.
• Evaluate and deploy LoRA-tuned models for practical applications.

This instructor-led, live training in Nepal (online or onsite) is aimed at advanced-level professionals who wish to master multimodal model fine-tuning for innovative AI solutions.

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

• Understand the architecture of multimodal models like CLIP and Flamingo.
• Prepare and preprocess multimodal datasets effectively.
• Fine-tune multimodal models for specific tasks.
• Optimize models for real-world applications and performance.

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

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

• Understand the fundamentals of fine-tuning for NLP tasks.
• Fine-tune pre-trained models such as GPT, BERT, and T5 for specific NLP applications.
• Optimize hyperparameters for improved model performance.
• Evaluate and deploy fine-tuned models in real-world scenarios.

Vertex AI provides a unified platform for generative media, offering models like Veo for video, Imagen for image creation, Chirp for speech, and Lyria for music. These capabilities enable production-ready workflows for creative, marketing, and enterprise use cases.

This instructor-led, live training (online or onsite) is aimed at intermediate-level to advanced-level professionals who wish to harness generative AI for multimedia content creation and deployment using Vertex AI.

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.
• Optimize prompts and fine-tune outputs for quality and brand consistency.
• Deploy production-ready generative media solutions in enterprise settings.

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.

Course Customization Options

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

Vertex AI provides powerful tools for building multimodal LLM workflows that integrate text, audio, and image data into a single pipeline. With long context window support and Gemini API parameters, it enables advanced applications in planning, reasoning, and cross-modal intelligence.

This instructor-led, live training (online or onsite) is aimed at intermediate to advanced-level practitioners who wish to design, build, and optimize multimodal AI workflows in Vertex AI.

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

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

Format of the Course

• Interactive lecture and discussion.
• Hands-on labs with multimodal workflows.
• Project-based exercises for applied multimodal use cases.

Course Customization Options

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

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

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

• Understand the principles of prompt engineering and few-shot learning.
• Design effective prompts for various NLP tasks.
• Leverage few-shot techniques to adapt LLMs with minimal data.
• Optimize LLM performance for practical applications.

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

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

• Understand the core concepts and benefits of transfer learning.
• Explore popular pre-trained models and their applications.
• Perform fine-tuning of pre-trained models for custom tasks.
• Apply transfer learning to solve real-world problems in NLP and computer vision.

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

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

• Understand how Vertex AI works and use it as a machine learning platform.
• Learn about machine learning and NLP concepts.
• Know how to train and deploy machine learning models using Vertex AI.

Vertex AI Agent Builder is a no-code/low-code environment for creating grounded agents that combine generative models with retrieval-augmented generation (RAG), allowing teams to rapidly build agents that use enterprise data and search to provide 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.

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

• Design grounded agent workflows using Agent Builder.
• Implement RAG pipelines with search and vector stores.
• Integrate enterprise data sources securely for retrieval.
• Evaluate and iterate agent behavior using testing and metrics.

Format of the Course

• Interactive lecture and discussion.
• Hands-on labs using 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 provides streamlined integration options for embedding Gemini models directly into mobile and web applications using Firebase and SDKs. This 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 aimed at beginner-level 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 provides enterprise-ready tools for managing the full machine learning lifecycle, including observability, compliance, and operational excellence. With live monitoring, data residency controls, grounding, and integrated Gen AI evaluation, Vertex AI is designed to meet the demands of production-grade AI systems.

This instructor-led, live training (online or onsite) is aimed at intermediate to advanced-level professionals who wish to deploy, monitor, and govern Vertex AI models in enterprise environments.

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

• Set up 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.

Format of the Course

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

Course Customization Options

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