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DIVYANSHI SANKHLA

Membro dal giorno 2026

Campionato Argento

4732 punti
Google DeepMind: 02 Represent Your Language Data Earned ott 23, 2026 EDT
Model Armor: Securing AI Deployments Earned ott 23, 2026 EDT
Google Cloud Agent Governance and Security Earned ott 23, 2026 EDT
Secure Enterprise AI Agents Earned ott 23, 2026 EDT
Agent Fundamentals Earned ott 23, 2026 EDT
AI Boost Bites: Master the ABCDQ of Prompting Earned ott 23, 2026 EDT
AI Boost Bites: Gemini Image-to-Sheets Hack Earned ott 23, 2026 EDT
AI Boost Bites: Tame Your Inbox with AI Earned ott 23, 2026 EDT
AI Boost Bites: Prompting like a Pro with Google Workspace Earned ott 23, 2026 EDT
AI Boost Bites: Google Workspace Studio Earned ott 23, 2026 EDT
AI Boost Bites: Your Personal Feedback Agent Earned ott 23, 2026 EDT

In this Google DeepMind course you will learn how to prepare text data for language models to process. You will investigate the tools and techniques used to prepare, structure, and represent text data for language models, with a focus on tokenization and embeddings. You will be encouraged to think critically about the decisions behind data preparation, and what biases within the data may be introduced into models. You will analyze trade-offs, learn how to work with vectors and matrices, how meaning is represented in language models. Finally, you will practice designing a dataset ethically using the Data Cards process, ensuring transparency, accountability, and respect for community values in AI development.

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This course reviews the essential security features of Model Armor and equips you to work with the service. You’ll learn about the security risks associated with LLMs and how Model Armor protects your AI apps. Explore other content in the Gemini Agent Ready (GEAR) program.

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As enterprise teams transition to autonomous AI agents, security evolves toward proactive, identity-centric protection. In this course, you will implement a zero-trust security architecture for Cymbal Banking's underwriting platform using the Gemini Enterprise Agent Platform. By deploying a regional Egress Agent Gateway, configuring Model Armor and Semantic Governance (SGP) safety templates, assigning cryptographic SPIFFE identities to agent runtimes, and declaring a VPC-SC perimeter in Terraform, you will protect database boundaries and manage tools with production-grade governance.

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Learn how to secure and govern AI agents on Google Cloud. This course provides a practical roadmap to securing agent memory, enforcing strict access controls with IAM and VPC Service Controls, and deploying real-time conversation guardrails to ensure safe, compliant enterprise deployments. Explore other content in the Gemini Agent Ready (GEAR) program.

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This course introduces the fundamentals of AI agents and explores where agents add value in the real world. It provides a foundation for developers, architects, and technical decision-makers who want to understand AI systems through the lens of autonomous, goal-directed behavior. Explore other content in the Gemini Agent Ready (GEAR) program.

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This video covers the five essential ingredients of the ABCDQ prompting framework, showing you how to craft clear, highly accurate prompts to get the absolute best results from Gemini.

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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 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 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 covers how to use Google Workspace Studio to build AI agents using "Starters," "Steps," and "Variables" to automate workflows without writing code.

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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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