GOOGLE GEMINI: 2026 tutorial for beginners

Aga Murdoch | AI Training · Beginner ·🧠 Large Language Models ·6:52 ·6mo ago

Key Takeaways

This video tutorial covers the basics of Google Gemini, a large language model, and provides 70+ proven AI prompts for instant results, suitable for beginners.

Original Description

70+ Proven AI Prompts for Instant Results (free resource): https://everyday-ai-academy.kit.com/prompts-starter-pack ...
Watch on YouTube ↗ (saves to browser)
Sign in to unlock AI tutor explanation · ⚡30

This tutorial introduces beginners to Google Gemini and provides a free resource of 70+ proven AI prompts for instant results. Viewers will learn the basics of LLMs and how to use prompts effectively.

Key Takeaways
  1. Access the free resource of 70+ proven AI prompts
  2. Watch the tutorial to understand Google Gemini basics
  3. Practice using the prompts to get instant results
  4. Experiment with different prompts to improve skills
💡 Using proven AI prompts can significantly improve the effectiveness of LLMs like Google Gemini

Related Reads

📰
Loop Engineering with Adaptive Parsing in Action: Parsing Flat Tables with Azure and Figures with a Vision LLM
Learn to apply Loop Engineering with Adaptive Parsing to parse flat tables and figures using Azure and Vision LLMs for enhanced document intelligence
Towards Data Science
📰
Building Production-Grade LLM Evaluation Pipelines: From Vibes to Metrics
Learn to build production-grade LLM evaluation pipelines to automate testing and catch hallucinations before deployment
Dev.to AI
📰
I Just Made An AI Memory System for chatbots and other domain AIs
Learn how a 13-year-old built a multi-domain AI memory system for chatbots and discover its potential applications
Dev.to AI
📰
GPT-5 and Convex Optimization: What the Claims Actually Mean for Engineering Tooling
Learn how GPT-5 and convex optimization can improve engineering tooling, and what the claims actually mean for the field
Dev.to · DimiDan
Up next
5 Levels of AI Agents - From Simple LLM Calls to Multi-Agent Systems
Dave Ebbelaar (LLM Eng)
Watch →