Gemini for Application Developers - Español

External: Coursera Courses ↗ · Coursera

Open Course on External: Coursera

Free to audit · Opens on External: Coursera

Gemini for Application Developers - Español

Coursera · Intermediate ·🧠 Large Language Models ·3mo ago

Skills: LLM Engineering80%Prompt Craft60%

Key Takeaways

Demonstrates Gemini for application development with Google Cloud

Original Description

En este curso, aprenderás cómo Gemini, un colaborador potenciado por IA generativa de Google Cloud, ayuda a los desarrolladores a compilar aplicaciones. Aprenderás a darle instrucciones a Gemini para que explique códigos, recomiende servicios de Google Cloud y genere código para tus aplicaciones. A través de un lab práctico, comprobarás cómo Gemini mejora el flujo de trabajo de desarrollo de aplicaciones. Recuerda que Duet AI ahora se llama Gemini, nuestro modelo de nueva generación.

Watch on External: Coursera ↗ (saves to browser)

Sign in to unlock AI tutor explanation · ⚡30

More on: LLM Engineering

View skill →

Build an LLM and RAG-based Chat Application using AlloyDB and LangChain

FULLY LOCAL Mistral AI PDF Processing [Hands-on Tutorial]

FULLY LOCAL Mistral AI PDF Processing [Hands-on Tutorial]

Coding a Multimodal (Vision) Language Model from scratch in PyTorch with full explanation

Coding a Multimodal (Vision) Language Model from scratch in PyTorch with full explanation

Ultimate Guide: Deploy Google ADK Agents to Vertex AI & Cloud Run (Step-by-Step Tutorial)

Ultimate Guide: Deploy Google ADK Agents to Vertex AI & Cloud Run (Step-by-Step Tutorial)

Shane | LLM Implementation

How to Make an Asteroids Game Bot (LIVE)

How to Make an Asteroids Game Bot (LIVE)

Using Claude Code + Nano Banana Pro To Create a Dataset of Engineering Drawings

Using Claude Code + Nano Banana Pro To Create a Dataset of Engineering Drawings

Automata Learning Lab

Related Reads

Hardening Applications That Call LLMs: 16 Security Controls That Actually Matter

Learn 16 essential security controls to harden applications that call LLMs and protect against traditional web vulnerabilities and new attack surfaces

Dev.to · Reno Lu

LLM-as-Judge Shouldn't Aggregate Scores: Binary Checks as Evidence, One Holistic Verdict

Learn to design LLM-as-judge systems using binary checks and holistic verdicts, avoiding score aggregation

Dev.to · Tatsuya Shimomoto

PIM-DBS: Back Up, Restore, and Verify Your AI Persona — a protocol born from a failed rescue

Learn how to back up, restore, and verify your AI persona using the PIM-DBS protocol, a crucial step in ensuring AI continuity and reliability.

OWASP LLM05:2025 : Improper Output Handling — When the Model’s Response Becomes the Attack

Learn about OWASP LLM05:2025, a security risk related to improper output handling in LLMs, and how to mitigate it

5 Levels of AI Agents - From Simple LLM Calls to Multi-Agent Systems

Dave Ebbelaar (LLM Eng)