# Laskar Ai

- **Website:** <https://laskarai.id>
- **Primary alias:** `laskarai.id`

## Description

Laskar Ai is an innovative scholarship initiative led by Lintasarta in collaboration with Dicoding and NVIDIA, aimed at cultivating digital talent proficient in artificial intelligence (AI) to contribute to Indonesia's Golden Era by 2045. This program focuses on providing intensive training in Machine Learning and Data Science, forming a solid foundation for AI development. With over 36 years of experience in the Information Communication and Technology (ICT) sector, Lintasarta is dedicated to enhancing the technological skills of Indonesia's youth through digital literacy programs like Laskar Ai.

Participants of Laskar Ai will engage in a comprehensive curriculum that includes both technical skills, such as Python programming and machine learning, and essential soft skills. In addition to expert-led sessions, students can earn up to 20 academic credits and receive certificates upon successful completion of the program. This fully online training not only prepares participants for a future in AI engineering but also opens doors to job opportunities with Lintasarta's partners, allowing them to play a vital role in shaping Indonesia's technological landscape.

## Industries

- 🧪 Science and Education
- 🧪 Grants Scholarships and Financial Aid _(under Science and Education)_
- 🖥 Computers Electronics and Technology
- 🖥 Artificial Intelligence and Machine Learning _(under Computers Electronics and Technology)_

## Logos & icons

- logo _(primary)_ — PNG, SVG — [download](https://cdn.brandfetch.io/id-LvZbgPK/w/820/h/151/theme/light/logo.png?c=1bxid64Mup7aczewSAYMX&t=1740641915913)

## Colors

| Name | Hex | Theme |
| --- | --- | --- |
| Alizarin Crimson | #e51e25 | accent |
| Monza | #cc000f | dark |
| White | #ffffff | light |

## Fonts

- Open Sans — asset _(google)_
- Open Sans — asset _(google)_

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_Source: <https://brandfetch.com/laskarai.id>_
_See [/llms.txt](/llms.txt) for a full list of agent-readable pages, and [/auth.md](/auth.md) for how agents authenticate._