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Sourav Jangid

Учасник із 2024

AI Boost Bites: Your Personal Feedback Agent Earned жовт. 31, 2025 EDT
[DEPRECATED] AI Boost Bites: Customer insights with NotebookLM Earned вер. 7, 2025 EDT
AI Boost Bites: Gemini Gems – Your ultimate marketing sidekick Earned вер. 7, 2025 EDT
[DEPRECATED] AI Boost Bites: Project Notebooks Earned вер. 7, 2025 EDT
[DEPRECATED] AI Boost Bites: NotebookLM for Market Research Earned вер. 7, 2025 EDT
[Deprecated]AI Boost Bites: NotebookLM Video Overviews Earned вер. 7, 2025 EDT
[DEPRECATED] AI Boost Bites: Discover Sources in NotebookLM Earned вер. 7, 2025 EDT
[DEPRECATED] AI Boost Bites: NotebookLM Mind Maps Earned вер. 7, 2025 EDT
[DEPRECATED] AI Boost Bites: Intro to NotebookLM Earned вер. 7, 2025 EDT
AI Boost Bites: Email Content Creation Earned вер. 7, 2025 EDT
AI Boost Bites: Create Docs in Seconds Earned вер. 7, 2025 EDT
[DEPRECATED] AI Boost Bites: AI Power-Ups for Google Workspace Earned вер. 7, 2025 EDT
AI Boost Bites: Tame Your Inbox with AI Earned вер. 7, 2025 EDT
AI Boost Bites: Gemini Slide Summaries Earned вер. 7, 2025 EDT
AI Boost Bites: No-Code Sheets & Scripts Earned вер. 7, 2025 EDT
AI Boost Bites: Amplify Exec Voices with AI Earned вер. 7, 2025 EDT
AI Boost Bites: Exec Summaries with Gemini Gems Earned вер. 7, 2025 EDT
AI Boost Bites: Automate tasks with Gemini and Apps Script Earned вер. 7, 2025 EDT
[DEPRECATED] AI Boost Bites: "Eat the Frog" with NotebookLM Earned вер. 7, 2025 EDT
AI Boost Bites: Gemini Image-to-Sheets Hack Earned вер. 7, 2025 EDT
AI Boost Bites: Poke Holes in Your Strategy Earned вер. 7, 2025 EDT
[DEPRECATED] AI Boost Bites: NotebookLM for Competitive Edge Earned вер. 7, 2025 EDT
AI Boost Bites: Personalization with customized prompts Earned вер. 6, 2025 EDT
AI Boost Bites: TL;DR with Gemini in Docs & Drive Earned вер. 6, 2025 EDT
AI Boost Bites: Prompting like a Pro with Google Workspace Earned вер. 4, 2025 EDT
AI Boost Bites: Content Generation with Gemini Made Easy Earned вер. 3, 2025 EDT
Implement Enterprise Design Patterns with CX Agent Studio Earned лип. 5, 2024 EDT
Machine Learning Operations (MLOps) for Generative AI Earned лип. 1, 2024 EDT
Conversational AI Voice and Chat Integrations Earned лип. 1, 2024 EDT
Introduction to Vertex AI Studio Earned черв. 16, 2024 EDT
Create Image Captioning Models Earned черв. 2, 2024 EDT
Transformer Models and BERT Model Earned черв. 2, 2024 EDT
Encoder-Decoder Architecture Earned квіт. 27, 2024 EDT
Attention Mechanism Earned квіт. 23, 2024 EDT
Introduction to Image Generation Earned квіт. 23, 2024 EDT
Responsible AI: Applying AI Principles with Google Cloud - Yкраїнська Earned квіт. 23, 2024 EDT
Prompt Design in Agent Platform Earned квіт. 21, 2024 EDT
Introduction to Responsible AI - Українська Earned квіт. 21, 2024 EDT
Introduction to Large Language Models - Українська Earned квіт. 21, 2024 EDT
Introduction to Generative AI - Українська Earned квіт. 19, 2024 EDT

This video covers how to build a personalized "Work with Me" agent using Gemini Gems, which helps streamline foundational feedback and makes your meetings more strategic and efficient.

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This video covers how NotebookLM can revolutionize customer insight gathering from call or chat transcripts. You'll learn to upload PDF transcripts of hundreds of conversations (even multilingual ones!) and quickly extract key themes, trending topics, and actionable insights without listening for hours. Discover how to save findings, share notebooks, and even generate interactive podcast summaries of your data.

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This video covers how to create your own Gemini Gems, advanced AI capabilities that can automate repetitive tasks and supercharge your productivity.

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This video covers how to create a 'project notebook' in NotebookLM by adding all relevant sources to build a central, searchable knowledge hub for your team.

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This video covers how to use NotebookLM for common marketing tasks like analyzing customer feedback, conducting market research, and generating content ideas.

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This video covers how to use the Video Overviews feature in NotebookLM to automatically generate a short explainer video based on your source documents.

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This video covers how to use the 'Discover Sources' feature in NotebookLM to find and import relevant web-based sources directly into your research project.

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This video covers how to use the Mind Maps feature in NotebookLM to automatically create a visual representation of your sources, helping you understand connections and key concepts.

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This video covers how to use NotebookLM as a personal research assistant by adding sources, asking questions, and generating new content formats based on your documents.

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This video covers how to use Gemini in Gmail to draft new emails, refine their tone, respond with context from Drive files, and use smart reply suggestions.

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This video covers how to use the 'Help me create' feature in Google Docs to generate a complete, formatted document by referencing content from other files in your Drive.

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This video covers five key ways to use Google's AI tools, including Gemini in Workspace, the Gemini app, and NotebookLM, to enhance your daily productivity.

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This video covers how to use Gemini in Gmail to summarize emails, find information, and draft replies, helping you manage your inbox more efficiently.

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This video covers how to use Gemini in Slides to automatically generate meeting recaps and draft follow-up emails, which can streamline your post-meeting workflow and save you time.

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This video covers how you can leverage Gemini's advanced AI capabilities within Google Sheets to effortlessly pull data and generate insights in minutes, all without the need for any technical or coding background.

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This video will cover how to leverage Gemini Gems to create authentic social media posts in your leader's unique voice. Learn to overcome the challenge of scaling executive social presence by training a Gem with writing samples and clear instructions. Discover how to generate engaging posts quickly, saving time while amplifying thought leadership and ensuring authenticity.

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This video covers how you can create your own Brevity Gem to summarize and transform messy notes or long documents into clear, concise, executive-ready summaries.

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This video covers how to use Gemini and Apps Script to automate manual tasks across Google Workspace. You'll learn to prompt Gemini to generate Apps Script code that automatically drafts email reminders in Google Sheets for tasks not marked 'Complete.' Automate your workflow with little to no technical expertise, freeing up time for more important work and eliminating manual follow-ups.

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This video covers how you can leverage Notebook LM to "eat the frog" on your to-do list by automating complex tasks like summarizing legislation and mapping services, saving you hours of work.

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This video covers how to eliminate tedious manual data entry using Gemini. Learn how to take a picture or screenshot of data (from PDFs, paper, or images) and prompt Gemini to instantly convert it into a structured Google Sheet. Discover this simple hack to save countless hours transcribing data, turning Gemini into your personal data entry assistant. Just snap, prompt, and export!

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This video covers using AI to identify weaknesses and hidden assumptions in your strategy. You'll learn the "Poke Holes" method, a simple way to pressure-test your plans with AI prompts, uncovering gaps and strengthening your strategic thinking.

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This video will cover how to use NotebookLM to gather and analyze publicly available information, combine it with internal documents, and extract key competitive insights.

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This video covers how to personalize your Gemini results in Google Workspace. Learn to incorporate documents and research papers directly into your prompts using the "@" symbol to get more targeted and relevant AI output tailored to your needs.

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This video covers how you can use Gemini to summarize long documents in Google Workspace, so you can quickly get the information you need and save time. You'll learn how to use Gemini to summarize entire documents or just selected text, as well as how to use Gemini in Drive to summarize across multiple files.

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This video covers prompt engineering fundamentals for effective AI communication. Learn a simple framework (Persona, Task, Context, Format) to craft clear prompts, getting better, faster results from Gemini in Google Workspace. Discover how to use natural language, be specific, and iterate for optimal AI assistance.

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This video will cover how you can leverage Gemini's advanced AI capabilities in Google Docs to brainstorm ideas, draft various marketing content, and collaborate with your team.

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This course explores using enterprise design patterns to build scalable, reliable, and secure agents within CX Agent Studio. Additionally, it covers navigating the complete development lifecycle by deploying multi-layered application security and locking down cloud infrastructure perimeters. It details the core pillars of multi-turn session persistence and real-time audio supervision to facilitate safe, continuous conversational experiences.

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This course is dedicated to equipping you with the knowledge and tools needed to uncover the unique challenges faced by MLOps teams when deploying and managing Generative AI models, and exploring how Gemini Enterprise Agent Platform empowers AI teams to streamline MLOps processes and achieve success in Generative AI projects.

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Learn about building conversational AI voice and chat integrations, including how telephony systems can connect with Google to enable phone-based interactions within the Conversational AI ecosystem. Explore key topics such as the differences between chat and voice conversations, the writing process for creating conversation scripts, and the beginning of the interrogative series and closing sequence.

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This course introduces Vertex AI Studio, a tool to interact with generative AI models, prototype business ideas, and launch them into production. Through an immersive use case, engaging lessons, and a hands-on lab, you’ll explore the prompt-to-product lifecycle and learn how to leverage Vertex AI Studio for Gemini multimodal applications, prompt design, prompt engineering, and model tuning. The aim is to enable you to unlock the potential of gen AI in your projects with Vertex AI Studio.

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This course teaches you how to create an image captioning model by using deep learning. You learn about the different components of an image captioning model, such as the encoder and decoder, and how to train and evaluate your model. By the end of this course, you will be able to create your own image captioning models and use them to generate captions for images

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This course introduces you to the Transformer architecture and the Bidirectional Encoder Representations from Transformers (BERT) model. You learn about the main components of the Transformer architecture, such as the self-attention mechanism, and how it is used to build the BERT model. You also learn about the different tasks that BERT can be used for, such as text classification, question answering, and natural language inference.This course is estimated to take approximately 45 minutes to complete.

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This course gives you a synopsis of the encoder-decoder architecture, which is a powerful and prevalent machine learning architecture for sequence-to-sequence tasks such as machine translation, text summarization, and question answering. You learn about the main components of the encoder-decoder architecture and how to train and serve these models. In the corresponding lab walkthrough, you’ll code in TensorFlow a simple implementation of the encoder-decoder architecture for poetry generation from the beginning.

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This course will introduce you to the attention mechanism, a powerful technique that allows neural networks to focus on specific parts of an input sequence. You will learn how attention works, and how it can be used to improve the performance of a variety of machine learning tasks, including machine translation, text summarization, and question answering. This course is estimated to take approximately 45 minutes to complete.

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This course introduces diffusion models, a family of machine learning models that recently showed promise in the image generation space. Diffusion models draw inspiration from physics, specifically thermodynamics. Within the last few years, diffusion models became popular in both research and industry. Diffusion models underpin many state-of-the-art image generation models and tools on Google Cloud. This course introduces you to the theory behind diffusion models and how to train and deploy them on Gemini Enterprise Agent Platform.

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Що більше штучний інтелект і машинне навчання використовуються в корпоративних середовищах, то нагальнішою стає потреба розробити принципи відповідального ставлення до них. Однак говорити про принципи відповідального використання штучного інтелекту легше, ніж застосовувати їх на практиці. Цей курс допоможе вам дізнатись, як запровадити відповідальну роботу зі штучним інтелектом у вашій організації. У цьому курсі ви дізнаєтеся про підхід Google Cloud до відповідального використання ШІ, а також отримаєте практичні поради й набудете досвіду, який допоможе вам розробити власний підхід до цього завдання.

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Complete the introductory Prompt Design in Agent Platform skill badge to demonstrate skills in the following: prompt engineering, image analysis, and multimodal generative techniques, within Agent Platform. Discover how to craft effective prompts, guide generative AI output, and apply Gemini models to real-world marketing scenarios. Explore other content in the Gemini Enterprise Agent Ready (GEAR) program.

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Це ознайомлювальний курс мікронавчання, який має пояснити, що таке відповідальне використання штучного інтелекту, чому воно важливе і як компанія Google реалізує його у своїх продуктах. Крім того, у цьому курсі викладено 7 принципів Google щодо штучного інтелекту.

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У цьому ознайомлювальному курсі мікронавчання ви дізнаєтеся, що таке великі мовні моделі, де вони використовуються і як підвищити їх ефективність коригуванням запитів. Він також охоплює інструменти Google, які допоможуть вам створювати власні додатки на основі генеративного штучного інтелекту.

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Це ознайомлювальний курс мікронавчання, який має пояснити, що таке генеративний штучний інтелект, як він використовується й чим відрізняється від традиційних методів машинного навчання. Він також охоплює інструменти Google, які допоможуть вам створювати власні додатки на основі генеративного штучногоінтелекту.

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