🚨 Anthropic está regalando una certificación por la que Deloitte está formando a 15.000 empleados.
0 $
Sí, gratis.
Solo necesitas un portátil. Nada más.
Se lanzó hace solo 10 días.
Casi nadie la tiene todavía.
Se llama “Claude Certified Architect”.
Piénsalo así: es como las certificaciones de AWS… pero en inteligencia artificial.
Y si viviste el boom de AWS, sabes lo que viene:
pasaron de “interesante tener” a “imprescindible para trabajar” en pocos años.
Esto va a ir MUCHO más rápido.
Mira quién ya está apostando fuerte:
- Accenture → 30.000 personas formándose en Claude
- Cognizant → 350.000 empleados ya dentro
- Deloitte → 470.000 con acceso
- Infosys → socio principal
No estamos hablando de startups probando cosas.
Son gigantes reestructurando su fuerza laboral alrededor de la IA.
Y tú puedes sacarte la misma certificación desde casa.
Pero ojo… no es un curso fácil para coleccionar insignias.
Es exigente:
- 60 preguntas en 2 horas
- Supervisado (cámara encendida)
- Sin pausas, sin Google
Te ponen en situaciones reales:
diseñar agentes de soporte, integrar IA en pipelines CI/CD…
Y las respuestas trampa están diseñadas como errores reales de producción.
Para aprobar necesitas 720/1000.
Los que ya lo han hecho dicen lo mismo:
—> arquitectura de agentes y sistemas multiagente = nivel duro
Porque esto no va de “hacer prompts bonitos”.
Va de construir sistemas de IA que funcionen en el mundo real.
Lo mejor:
- 13 cursos oficiales GRATIS (Anthropic Academy)
- Certificación gratis para los primeros 5.000
- Luego: 99$ por intento
Cómo empezar:
1. Únete gratis → https://t.co/FN3pUh3V5H
2. Empieza los cursos → https://t.co/SorSijpRkL
3. Regístrate al examen → https://t.co/SCDf9bvRDw
4. Haz el test de práctica
5. Preséntate cuando estés listo
Y ahí está la oportunidad.
Consíguela ahora… antes de que pase a ser el nuevo estándar.
We Must Pace the Frontier: I’ve written a new essay on why the AI industry should slow down, with a three-part plan for doing so.
Anthropic is unilaterally committing to the first of these steps. We’ll provide third-party evaluators with permanent, employee-level access to our systems, so that they can verify adherence to our safety measures, report on incidents, and assess models’ alignment during training.
You can read the full post here: https://t.co/OGyPb7yaYt
Wrapping up a packed week with lots of announcements and even more energy for what's ahead.
Grateful to be part of such a vibrant team and to build alongside people who genuinely care about what they put into the world.
Funding announcements are always fun, but I'm way more excited about what's ahead.
We'll see more people building, more crazy ideas turning into products, and more people realizing they can just start.
Lovable itself started as a side project.
A pretty good reminder that you never really know where building something you care about might take you.
So go build the weird idea. Put your heart into it and see what happens! 🚀
Anthropic just released a 4-hour course to getting a $500k AI engineering job:
00:15 - The right way to prompt Claude
33:21 - What makes Claude act dumber on your code
01:33:39 - How Anthropic use Claude every day
02:50:56 - The fix that makes Claude way smarter This
4-hour Anthropic free course replaces about 10 paid engineering courses.
Watch it today, then read the step-by-step guide on building loops below.
Kimi K3 shipped and a competitor's stock lost 30% the same week. It wasn't an American one.
Z ai fell as much as 30%. MiniMax 16%. Alibaba 4%. The US labs it was supposedly aimed at aren't even listed.
K3 is 2.8 trillion parameters, the largest open-weight model ever released. Roughly 75% bigger than DeepSeek's V4 Pro.
One million tokens of context, native vision, thinking mode always on. #1 in Frontend Code Arena, top three on every major index.
Then Moonshot gave the weights away on July 27. Free to download, free to self-host, yours forever.
That reads like generosity until you check who it actually hurt.
To a frontier lab, an open model is competition. To the second-best open model, it's an extinction event.
Nobody pays for mid-tier open weights when better ones cost nothing.
The license is where the business hides. Past $20M in revenue you negotiate a contract. Past 100M users you display their name.
Free for you. A contract for anyone big enough to matter. Daily revenue is up at least 6x since launch, and they're raising at $50 billion.
Open weights stopped being a gift. They're a pricing weapon now. Go look at what your stack runs on and ask what the giver gets back.
Google lanzó la herramienta que todo desarrollador pedía desde hace años.
Se llama CodeWiki.
Pegas cualquier repositorio y la IA lo convierte automáticamente en una documentación interactiva.
No solo resume el código:
• Genera diagramas automáticamente
• Explica cómo funciona cada parte
• Crea tutoriales paso a paso
• Detecta arquitectura y dependencias
• Y hasta monta un chatbot que entiende tu código completo
Básicamente:
convierte proyectos imposibles de entender en algo que cualquier desarrollador puede navegar en minutos.
Enlace abajo👇
Nano Banana Pro produces clean, accurate, engineering-style exploded diagrams.
I used Nano Banana Pro in 4K to reach maximum clarity and precision.
I built a prompt that converts any image into a full exploded view with engineering-grade detailing.
It's not perfect but you can always do back and forth to achieve accurate result.
If you want the prompt, like, repost, and comment "Prompt" and I’ll DM you.
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if you want to get into ai engineering, understand this first :
it is basically of 3 layers -
1) application layer :
> building ai products
> fullstack + agents, agentic stuff
2) model layer:
> training and finetuning models
> LLM's, CV
3) Infrastructure layer:
> deploying and scaling
> aws, docker, MLops
(acc to ai engineering book)
atleast learning 2 layers makes you employble