External: Coursera Courses ↗ · Coursera

Open Course on External: Coursera

Free to audit · Opens on External: Coursera

Gemini in Google Drive

Coursera · Intermediate ·🧠 Large Language Models ·4mo ago

Skills: Tool Use & Function Calling70%LLM Foundations60%

Key Takeaways

Utilizes Gemini in Google Drive for generative AI features and workflow improvement

Original Description

Google Workspace with Gemini provides customers with access to generative AI features. This course delves into the capabilities of Gemini in Google Drive using video lessons, hands-on activities and practical examples. By the end of this course, you'll be equipped with the knowledge and skills to confidently utilize Gemini in Google Drive to improve your workflows.

☆ Save to playlist Watch on External: Coursera ↗

AI explanation not available for this lesson yet

This lesson is still being prepared for the AI tutor. In the meantime, explore lessons that are ready.

Browse explainer-ready lessons →

More on: Tool Use & Function Calling

View skill →

PENN: System 550 Installing Sensors

PENN: System 550 Installing Sensors

Johnson Controls

Cloud Storage: Qwik Start - CLI/SDK

Getting started with Firebase Cloud Firestore

Administering an AlloyDB Database

Google Cloud Pub/Sub: Qwik Start - Python

Google Cloud Pub/Sub: Qwik Start - Console

Related Reads

7 Community LLM API Gateways I Checked for AI Coding and Low-Cost Testing

Explore 7 community LLM API gateways for AI coding and low-cost testing, learning how to evaluate and choose the best option for your needs

Top 7 GenAI Interview Questions Every AI Professional Should Be Ready to Answer

Prepare for GenAI interviews with these 7 key questions, covering foundational concepts to advanced applications

Medium · Programming

Transformers on Retro Consoles: Running Real LLM Inference on a 1.79 MHz NES and a 93 MHz N64

Run real LLM inference on retro consoles like NES and N64 with transformer-based language models

Enterprise AI Adoption 2026: Essential LLM Checklist

Learn the essential checklist for enterprise AI adoption in 2026, ensuring compliance and risk management with large language models

LLM Quantization Explained