Google AI represents one of the most ambitious pushes in artificial intelligence, driving innovation across language, vision, and generative technologies. From Gemini to AI Studio, its tools are shaping how organizations design smarter systems and reimagine digital experiences.
Our instructor-led live training courses give participants the opportunity to work directly with Google’s AI ecosystem. Through interactive, hands-on practice, learners explore how to apply models, build prototypes, and integrate intelligent services into business workflows.
Joining remotely means stepping into a shared environment where code, data, and discussion flow through an interactive remote desktop, guided in real time by expert instructors.
For teams that learn best face to face, sessions can be hosted on customer premises in Nepal or at NobleProg corporate training centers, providing dedicated space to experiment with Google AI in contexts that mirror real business needs.
Also known simply as Google’s Artificial Intelligence platform, this category connects professionals to the latest advancements in machine learning and generative AI, helping them harness innovation from one of the world’s most influential technology leaders.
NobleProg — Your Local Training Provider
Nepal, Kathmandu - Classroom
near Soaltee, Tahachal Marg, Kathmandu, Nepal, 44600
Set in Kathmandu, this classroom is well located near Tahachal Marg with all amenities and WiFi.
For Sales Enquires and Meetings
All our centres have batches running on weekdays and weekends hence, please note that, in most cases, usually we are not able to organise ad hoc sales meetings, especially on our classrooms as they are all occupied with ongoing training sessions . Please contact us by e-mail or phone at least one day earlier to make an appointment with one of our consultants at our corporate offices.
Nepal, Thamel, KTM - Classroom
near Radisson , Ward 2, Kathmandu, Nepal, 44600
Set in Kathmandu, this classroom is well located near Thamel, with all amenities and WiFi.
For Sales Enquires and Meetings
All our centres have batches running on weekdays and weekends hence, please note that, in most cases, usually we are not able to organise ad hoc sales meetings, especially on our classrooms as they are all occupied with ongoing training sessions . Please contact us by e-mail or phone at least one day earlier to make an appointment with one of our consultants at our corporate offices.
Nano Banana is a lightweight large language model framework designed for efficient, low-cost, real-world use across devices and enterprise environments.
This instructor-led, live training (online or onsite) is aimed at beginner-level professionals who wish to understand how lightweight LLMs can be deployed for practical, on-device, and cost-efficient applications.
At the conclusion of this course, participants will be able to:
Explain the core concepts behind lightweight LLMs and Nano Banana.
Identify appropriate use cases for on-device and low-cost AI deployment.
Evaluate Nano Banana’s capabilities for business and IT scenarios.
Make informed decisions about integration pathways in their organization.
Format of the Course
Instructor explanations supported by interactive dialogue.
Practical exercises to reinforce key concepts.
Hands-on exploration of lightweight LLM capabilities.
Course Customization Options
For tailored versions of this training, please contact us to customize the program.
Nano Banana is a lightweight AI framework engineered for efficient on-device model execution within Android environments.
This instructor-led training session, available online or onsite, is tailored for beginner to intermediate Android developers aiming to embed optimized AI capabilities directly into their mobile applications.
By the end of this training, participants will be equipped to:
Integrate the Nano Banana SDK into Android Studio projects.
Deploy real-time AI inference using Nano Banana APIs.
Optimize model performance for resource-constrained mobile devices.
Implement best practices for secure, privacy-preserving on-device AI.
Course Format
Guided presentations coupled with collaborative discussions.
Practical coding exercises to reinforce key concepts.
Hands-on implementation using real-world Android examples.
Customization Options
For tailored versions of this course, please reach out to arrange a customized program.
Nano Banana is an on-device AI framework engineered to execute models locally, ensuring rigorous privacy standards and regulatory compliance.
This instructor-led live training, available online or at your premises, targets beginner to intermediate-level professionals seeking to deploy privacy-preserving AI solutions on mobile devices via Nano Banana, particularly in regulated or sensitive operational environments.
Upon completing this training, participants will be equipped to:
Develop mobile applications that handle data processing privately on the device.
Integrate Nano Banana to establish compliant AI workflows.
Implement privacy-enhancing measures such as anonymization and secure data processing.
Assess and mitigate privacy risks inherent in mobile AI development.
Course Format
Guided instruction complemented by interactive discussions and Q&A sessions.
Practical exercises focused on privacy-centric mobile AI scenarios.
Hands-on implementation within a realistic development environment.
Customization Options
For organization-specific requirements or industry-specific compliance topics, please reach out to us to tailor this program accordingly.
Nano Banana is a lightweight AI framework designed to accelerate and compress models for efficient on-device and edge deployment.
This instructor-led, live training (online or onsite) is aimed at intermediate-level to advanced-level professionals who wish to optimize, compress, and deploy AI models for edge environments using Nano Banana.
At the conclusion of the program, learners will be able to:
Apply compression and quantization techniques to AI models.
Accelerate inference performance for edge devices.
Convert and deploy models using Nano Banana’s toolchain.
Evaluate trade-offs between accuracy, latency, and resource usage.
Format of the Course
Instructor-led technical sessions and guided discussion.
Hands-on exercises using real-world edge-AI scenarios.
Practical implementation using a configured live environment.
Course Customization Options
For tailored content or organization-specific adaptations, please reach out to arrange a customized version of this course.
Nano Banana is a specialised model engineered for swift and efficient on-device AI execution.
This instructor-led, live training (available online or onsite) is designed for intermediate-level practitioners who wish to architect and deploy AI-powered mobile applications using Nano Banana, without depending on cloud infrastructure.
Upon completing this programme, attendees should be able to:
Deploy Nano Banana models directly on mobile devices.
Optimise AI workloads for enhanced performance and energy efficiency.
Integrate text and image generation capabilities into mobile apps.
Troubleshoot, benchmark, and refine on-device inference pipelines.
Course Format
Instructor-guided demonstrations and collaborative discussions.
Practical exercises focused on real-world use cases.
Hands-on development and testing within a live mobile environment.
Course Customisation Options
If you require a bespoke version of this course, please contact us to discuss customisation options.
Gemini 3 is an AI-driven system designed to boost Google Search capabilities and workplace productivity via its AI Mode.
This instructor-led training, available both online and onsite, targets beginner-level users who want to use Gemini 3 to streamline their research, planning, analysis, and daily knowledge tasks.
By the end of this training, participants will acquire the skills to:
Leverage Gemini 3’s AI Mode to speed up research and information discovery.
Utilise Gemini-assisted workflows to summarise content and extract key insights.
Seamlessly integrate Gemini 3 features into everyday productivity routines.
Adopt best practices for the responsible and reliable use of AI tools.
Course Format
Instructor-guided presentations and live demonstrations.
Structured hands-on exercises to build practical skills.
Real-world applications using live search and productivity scenarios.
Course Customization Options
For tailored training adapted to your specific workflows, please contact us to discuss customization options.
Gemini 3 is a multimodal AI system featuring enhanced safeguards, governance capabilities, and resilience against adversarial manipulation.
This instructor-led, live training (available online or onsite) is designed for intermediate-level professionals looking to implement secure, responsible, and policy-compliant deployments of Gemini 3.
Upon completion of this course, participants will be able to:
Leverage Gemini 3 safety features to minimize misuse risks.
Establish governance frameworks aligned with organizational policies.
Bolster systems against prompt injections and adversarial inputs.
Assess deployments for compliance and operational integrity.
Course Format
Guided instruction supported by real-world safety examples.
Hands-on labs focusing on governance and secure prompting techniques.
Practical exercises conducted in controlled test environments.
Customization Options
Custom governance scenarios or security-centric labs can be incorporated upon request.
Gemini 3 is a sophisticated multimodal AI system engineered to facilitate deep reasoning, manage high-context tasks, and support extensive analytical workflows.
This instructor-led live training (available online or onsite) is tailored for advanced professionals seeking to harness Deep-Think Mode for complex analysis, modelling, and strategic planning.
Upon completing this course, participants will be able to:
Utilise Deep-Think Mode to resolve intricate, multi-layered problems.
Design reasoning pipelines that incorporate long-context analysis.
Optimise prompts for iterative, multi-step reasoning tasks.
Integrate Deep-Think capabilities into research or production workflows.
Course Format
Expert-led presentations accompanied by real-world examples.
Practical reasoning labs and structured exercises.
Applied development using live experimentation environments.
Customisation Options
Customised sessions or domain-specific deep-reasoning projects can be arranged upon request.
Gemini 3 stands as a versatile multimodal AI platform designed to process and reason across diverse data types, including images, video, audio, and text.
This instructor-led live training session, available in both online and onsite formats, is tailored for intermediate-level professionals keen on designing and developing applications that harness Gemini 3's cross-modal intelligence.
Upon completing this workshop, participants will be equipped with the skills to:
Seamlessly integrate Gemini 3 multimodal endpoints into real-world operational workflows.
Process and interpret visual, audio, video, and textual inputs within unified pipelines.
Google Antigravity serves as an agentic development environment tailored for constructing autonomous agents capable of planning, reasoning, coding, and executing tasks via Gemini 3’s multimodal capabilities.
This instructor-led live training, available in online or onsite formats, targets advanced technical professionals keen on designing, building, and deploying autonomous agents leveraging Gemini 3 and the Antigravity environment.
Upon completing this training, participants will be equipped to:
Construct autonomous workflows that harness Gemini 3 for reasoning, planning, and execution.
Develop agents within Antigravity that can analyse tasks, generate code, and interact with tools.
Seamlessly integrate Gemini-driven agents with enterprise systems and APIs.
Enhance agent behaviour, safety, and reliability in complex operational environments.
Format of the Course
Expert demonstrations coupled with interactive discussions.
Hands-on experimentation focused on autonomous agent development.
Practical implementation using Antigravity, Gemini 3, and supporting cloud tools.
Course Customization Options
Should your team require domain-specific agent behaviours or custom integrations, please reach out to us to tailor the program.
Vertex AI offers streamlined integration options for embedding Gemini models directly into mobile and web applications using Firebase and SDKs. This empowers 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 (available online or onsite) is designed for beginner to intermediate 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.
Gemini 3 is a multimodal AI model engineered to reason across text, images, and structured inputs to facilitate complex enterprise workflows.
This instructor-led, live training (available online or onsite) targets intermediate-level professionals eager to construct reasoning-driven and multimodal workflows using Gemini 3 within enterprise settings.
Upon completing this course, participants will possess the skills to:
Leverage Gemini 3’s reasoning capabilities for enterprise planning and decision-making workflows.
Design multimodal processes that incorporate text, images, documents, and tabular data.
Develop business workflows utilizing AI Studio and Vertex AI tools.
Optimize outputs through prompt engineering and iterative refinement techniques.
Format of the Course
Guided demonstrations enriched by expert explanations.
Practical exercises centered on workflow design and multimodal tasks.
Hands-on experimentation within AI Studio or Vertex AI environments.
Course Customization Options
If your organization requires tailored workflow scenarios or data integration examples, please get in touch to adapt the training.
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.
This instructor-led live training in Nepal (offered online or onsite) is targeted at intermediate-level public sector professionals who wish to utilize Gemini for generating high-quality content, aiding in research, and enhancing productivity through advanced AI interactions.
By the end of this training, participants will be able to:
Craft more effective and tailored prompts for specific use cases.
Generate original and creative content using Gemini.
Summarize and compare complex information with precision.
Use Gemini for brainstorming, planning, and organizing ideas efficiently.
Vertex AI empowers users with robust tools to construct multimodal LLM workflows, seamlessly integrating text, audio, and image data into a unified pipeline. Supported by long context window capabilities and Gemini API parameters, it facilitates advanced applications in planning, reasoning, and cross-modal intelligence.
This instructor-led, live training, available online or onsite, targets intermediate to advanced practitioners looking to design, build, and optimize multimodal AI workflows within Vertex AI.
Upon completing this training, participants will be capable of:
Utilizing Gemini models for multimodal inputs and outputs.
Implementing long-context workflows to handle complex reasoning.
Designing pipelines that combine text, audio, and image analysis.
Optimizing Gemini API parameters for enhanced performance and cost efficiency.
Course Format
Interactive lectures and discussions.
Practical labs focused on multimodal workflows.
Project-based exercises applying multimodal use cases.
Customization Options
For customized training arrangements, please reach out to us.
Google Gemini AI represents a state-of-the-art large language model, delivering advanced artificial intelligence functionalities including natural language comprehension, text creation, and multimodal processing. These capabilities empower developers to create intelligent, context-sensitive applications.
This instructor-led live training, available both online and onsite, targets beginner to intermediate-level developers. The program focuses on the practical application of AI concepts via Google Gemini AI, utilizing hands-on projects, real-world scenarios, and collaborative exercises.
Upon completing this training, participants will be capable of:
Effectively configuring and utilizing Google Gemini AI along with its associated tools.
Creating AI-driven applications that process text and image inputs.
Utilizing NotebookLM to streamline practical AI workflows and facilitate document-based reasoning.
Working within small teams to design and deploy functional AI prototypes.
Course Format
Interactive lectures paired with guided discussions.
Practical lab sessions and team-based projects.
Applied assignments involving Google Gemini AI and NotebookLM.
Customization Options
For tailored training arrangements, please reach out to us.
Google AI Studio serves as a platform tailored for constructing, evaluating, and rolling out AI-driven applications and workflows.<
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This guided training session, available both online and in-person, targets intermediate professionals looking to streamline and enhance their AI workflows using Google AI Studio.<
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After completing this course, participants will be equipped with the ability to:
Craft efficient AI workflows leveraging Google AI Studio.<
Seamlessly integrate models and APIs into automated pipelines.<
Enhance practices for performance, testing, and monitoring.<
Implement best practices for secure and scalable AI operations.<
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Practical exercises based on real-world scenarios.<
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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 equips developers and data teams with sophisticated tools for fine-tuning large language models and managing prompts. These capabilities allow teams to enhance model accuracy, streamline iterative workflows, and uphold rigorous evaluation standards through integrated libraries and services.
This instructor-led training, available online or onsite, is designed for intermediate to advanced practitioners seeking to boost the performance and reliability of generative AI applications. Participants will gain expertise in supervised fine-tuning, prompt versioning, and evaluation services within the Vertex AI ecosystem.
Upon completing this training, participants will be able to:
Apply supervised fine-tuning techniques to Gemini models in Vertex AI.
Establish prompt management workflows, including versioning and testing protocols.
Utilize evaluation libraries to benchmark and optimize AI performance.
Deploy and monitor enhanced models within production environments.
Course Format
Interactive lectures and discussions.
Hands-on labs focusing on Vertex AI fine-tuning and prompt tools.
Enterprise case studies highlighting model optimization strategies.
Customization Options
To arrange customized training for this course, please contact us directly.
This instructor-led, live training in Nepal (online or onsite) is aimed at beginner-level to intermediate-level data analysts and business professionals who wish to perform complex data analysis tasks more intuitively across various industries using Google Gemini AI.
By the end of this training, participants will be able to:
This instructor-led, live training in Nepal (online or onsite) is designed for intermediate-level IT managers, business application developers, and system integrators aiming to integrate Google AI Studio's capabilities with their business applications.
By the end of this training, participants will be able to:
Understand the key features and capabilities of Google AI Studio for business integration.
Explore and connect AI Studio with business applications via APIs.
Customize AI models for specific business use cases.
Set up workflows that integrate AI predictions into business processes.
Deploy AI-driven insights and automation within enterprise applications.
Troubleshoot and optimize integrations for scalability and efficiency.
This instructor-led, live training in Nepal (online or onsite) is aimed at intermediate-level content creators who wish to utilize Google Gemini AI to enhance their content quality and efficiency.
By the end of this training, participants will be able to:
Understand the role of AI in content creation.
Set up and use Google Gemini AI to generate and optimize content.
Apply text-to-text transformations to produce creative and original content.
Implement SEO strategies using AI-driven insights.
Analyze content performance and adapt strategies using Gemini AI.
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 Nepal (online or onsite) is aimed at advanced-level AI developers, machine learning engineers, and data scientists who wish to use Google AI Studio to develop, optimize, and deploy cutting-edge AI solutions.
By the end of this training, participants will be able to:
Navigate the Google AI Studio interface and understand its key components.
Prepare data for AI projects using Google AI Studio’s integrated tools.
Train, evaluate, and fine-tune machine learning models using AutoML and custom training features.
Deploy AI models as scalable, production-ready services.
Integrate Google AI APIs into applications to extend AI capabilities.
Leverage Explainable AI (XAI) tools for transparent and ethical AI practices.
Monitor and optimize AI models for performance and reliability.
This instructor-led, live training in Nepal (online or onsite) is designed for intermediate-level professionals who wish to explore workflow automation with Google AI Studio, using its tools to create, optimize, and manage efficient automated processes.
By the end of this training, participants will be able to:
Understand the core features of Google AI Studio for workflow automation.
Set up and integrate Google AI Studio with other tools.
Design and execute AI-driven workflows.
Implement conditional logic for smarter automation.
Monitor and optimize automated workflows for efficiency.
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 designed for intermediate-level customer service professionals aiming to implement Google Gemini AI within their support operations.
By the conclusion of this training, participants will be able to:
Understand the impact of AI on customer service.
Set up Google Gemini AI to automate and personalize customer interactions.
Utilize text-to-text and image-to-text transformations to improve service efficiency.
Develop AI-driven strategies for real-time customer feedback analysis.
Explore advanced features to create a seamless customer service experience.
This instructor-led, live training in Nepal (online or onsite) is designed for developers at the beginner to intermediate level who wish to integrate AI functionalities into their applications using Google Gemini AI.
Upon completing this training, participants will be able to:
Grasp the fundamentals of large language models.
Set up and utilize Google Gemini AI for various AI tasks.
Implement text-to-text and image-to-text transformations.
Develop basic AI-driven applications.
Explore advanced features and customization options in Google Gemini AI.
This live, instructor-led training in Nepal (online or onsite) is tailored for beginner-level data analysts, business professionals, and product managers eager to grasp the basics of creating and leveraging AI models with minimal coding effort via Google AI Studio.
Upon completing this training, participants will be able to:
Grasp the core principles of AI and machine learning.
Navigate and make the most of Google AI Studio’s interface and utilities.
Construct AI models by leveraging pre-built templates and datasets.
Train and assess models using straightforward workflows.
Deploy AI models for practical, real-world applications.
This instructor-led live training, conducted at Nepal (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.
This instructor-led, live training in Nepal (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.
This instructor-led, live training in Nepal (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.
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