I'm very happy to announce that I just published two new courses on Platzi, focused on artificial intelligence tools and APIs that you can apply directly in your projects.
AI Tools for Developers Course
The AI Tools for Developers Course covers the entire development flow with AI, from planning to deployment. It's packed with utilities you can try right away:
- Planning: How to use Perplexity, ChatGPT, and Claude to plan projects, and how to generate technical plans with Claude Code, Cursor, and Windsurf.
- Preparation: Warp as an AI-powered terminal and DeepWiki to analyze repositories.
- Building: Designing databases with Supabase's AI Assistant, connecting Supabase from Windsurf with MCP, and installing skills in your code editor.
- Review: Speeding up code reviews with Devin Review and Code Rabbit.
- Deployment: Deploying Next.js with Vercel's MCP and one-click deploy using Kilo Code.
LLM API Configuration Course
The LLM API Configuration Course teaches you how to configure the APIs of the main AI providers in your projects. You build Otro-GPT, an assistant that responds with text, understands images, and speaks, and by the end you have it deployed on Vercel.
- OpenAI API: Connection, conversation context management, Next.js integration, and audio and image support.
- Claude API: Anthropic API key setup, first call with TypeScript, streaming, and multi-turn messages.
- Gemini API: Google Gemini API key generation and Vercel deployment.
- Vercel AI SDK: A single codebase for all LLMs, TypeScript configuration with three providers.
- ElevenLabs API: Text to speech with AI to give your assistant a voice.
Why these courses
The best developers today don't work alone, they work with AI. These courses are designed so you have tools and configurations ready to try in your own projects. They're not theory, they're pure practice.
If you already took my Supabase and Advanced Supabase courses, these two are the perfect complement to take your projects to the next level with AI.