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Simeonova Neda

メンバー加入日: 2026

Introduction to Reliable Deep Learning Earned 6月 29, 2026 EDT
AI エージェントの概要 Earned 6月 29, 2026 EDT
AI Boost Bites: Guided Learning with Gemini Earned 6月 29, 2026 EDT
[Deprecated]AI Boost Bites: NotebookLM Video Overviews Earned 6月 29, 2026 EDT
[DEPRECATED] AI Boost Bites: Customer insights with NotebookLM Earned 6月 29, 2026 EDT
[DEPRECATED] AI Boost Bites: NotebookLM for Market Research Earned 6月 29, 2026 EDT
[DEPRECATED] AI Boost Bites: Discover Sources in NotebookLM Earned 6月 29, 2026 EDT
[DEPRECATED] AI Boost Bites: Research Hacks with NotebookLM Earned 6月 29, 2026 EDT
[DEPRECATED] AI Boost Bites: NotebookLM for Competitive Edge Earned 6月 29, 2026 EDT
[Deprecated] AI Boost Bites: Productivity On the Go with NotebookLM Earned 6月 29, 2026 EDT
[DEPRECATED] AI Boost Bites: NotebookLM Reports Earned 6月 29, 2026 EDT
AI Boost Bites: Supercharge Research with Gemini Earned 6月 29, 2026 EDT
AI Boost Bites: Exec Summaries with Gemini Gems Earned 6月 29, 2026 EDT
AI Boost Bites: Get Your Competitor's Playbook in Minutes Earned 6月 29, 2026 EDT
AI Boost Bites: Personalization with customized prompts Earned 6月 29, 2026 EDT
NotebookLM でインサイトを見出す Earned 6月 29, 2026 EDT
[DEPRECATED] AI Boost Bites: Intro to NotebookLM Earned 6月 29, 2026 EDT
Gemini Enterprise の概要 Earned 6月 29, 2026 EDT

This course introduces you to the world of reliable deep learning, a critical discipline focused on developing machine learning models that not only make accurate predictions but also understand and communicate their own uncertainty. You'll learn how to create AI systems that are trustworthy, robust, and adaptable, particularly in high-stakes scenarios where errors can have significant consequences.

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AI エージェントのコンセプトの概要を理解したうえで、AI エージェントが自律的なアクションと推論を使用して複雑な問題を解決する仕組みを学習します。また、エージェントがユーザーに代わって学習、計画し、目標を達成できるようにする技術的アーキテクチャ(モデル、ツール、オーケストレーション)について学びます。

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In this video, you'll learn to use the Guided Learning experience in Gemini to build a deep understanding of any topic. You'll see how to start a conversation, engage with Gemini's probing questions, and use interactive tools like diagrams and quizzes to guide your learning journey.

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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 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 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 'Discover Sources' feature in NotebookLM to find and import relevant web-based sources directly into your research project.

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In this video, you'll learn to use NotebookLM to manage a large-scale research project. You'll see how to upload all your documents to get summaries, ask deeper strategic questions to find key insights, and use the audio feature to listen to your findings on the go.

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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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In this video, you'll learn to use the NotebookLM mobile app to capture and synthesize information on the go. Master the art of saving sources via the share sheet, listening to personalized audio summaries offline, and interacting with your insights using your voice.

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This video covers how NotebookLM's Reports feature dynamically suggests formats to help you create customized, trustworthy analyses of your documents with ease.

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In this video, you'll learn pro tips for conducting thorough competitive research with Gemini Deep Research. You'll see how to enhance a basic prompt by assigning a persona, specifying a table format for the output, and directing the AI to search specific sources like Reddit for richer insights.

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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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In this video, you'll learn to use Gemini Deep Research to conduct competitive marketing analysis. You'll see how to submit a research prompt, approve the personalized research plan Gemini creates, and receive a detailed, synthesized report on competitor campaigns to inform your strategy.

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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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このコースでは、PDF、ウェブページ、音声ファイルなどのさまざまなソースを 1 つのインテリジェントなワークスペースに集約する方法を学びます。ドキュメントとチャットして特定の情報を見つけたり、即座に要約を生成したり、AI による引用で回答を検証したりする方法を学びます。

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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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このコースでは、AI エージェント、エンタープライズ検索、NotebookLM、インテリジェントなデータアクセスを統合し、組織の課題を解決する強力なプラットフォーム「Gemini Enterprise」を紹介します。受講者は、Gemini Enterprise の機能を実例とハンズオンのアクティビティを通して実際のビジネスニーズに結び付けながら、そのアーキテクチャや、ロールを超えたデータアクセスとプライバシーの取り扱いについて説明できるようになります。

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