Yandex Launches Free AI Courses for Teachers and Students

In a landmark initiative to integrate artificial intelligence into educational practices, Yandex Textbook has announced the launch of free online courses on AI for both teachers and schoolchildren. Set to commence on January 25, 2024, this program aims to equip educators with enhanced skills in new technologies and provide students with the opportunity to acquire advanced IT skills.

The curriculum is designed to familiarize teachers with the intricacies of neural networks and the crafting of queries for GPT technologies. Such knowledge is intended to assist educators in leveraging AI tools for lesson preparation and teaching methodologies. On the other hand, schoolchildren are offered a deep dive into the world of AI, including the study of neural network structures and hands-on experience in developing their own AI models using Blockly and Python programming languages.

This pioneering course on artificial intelligence is a collaborative effort between Yandex and the Federal State Budgetary Institution “Institute of Educational Development Strategy,” with scientific supervision provided by Alena Salakhova, an Associate Professor at the Moscow Pedagogical State University. This partnership underscores the commitment to fostering a robust foundation in AI education, highlighting the importance of integrating cutting-edge technologies into the classroom.

Elena Kraevskaya, the head of Yandex Textbook, emphasized the organization’s dedication to making IT education widely accessible. “Neural networks are already becoming an integral part of the educational process,” Kraevskaya stated, pointing to the potential of AI tools to transform learning experiences.

The launch of these courses comes at a time when the global educational technology market is poised for significant growth, with predictions of a 36% increase by 2030. The integration of AI into education promises to expedite learning processes, enhance the quality of education, and provide unprecedented access to vast educational resources. This shift towards AI-driven education is expected to yield a more personalized and student-centric learning environment, enabling students to grasp complex subjects more effectively.

Yandex’s initiative is part of a broader movement within Russia to incorporate generative AI into education. The company has already introduced a free platform to aid in preparing for the Unified State Exam in computer science, featuring the AI assistant YandexGPT. This development reflects a growing trend of leveraging AI to enrich educational content and methodologies.

As the landscape of education continues to evolve with technological advancements, Yandex’s free AI courses for teachers and students mark a significant step forward in preparing the next generation for a future dominated by digital and AI technologies. This initiative not only aims to enhance the educational experience but also to inspire innovation and creativity among educators and learners alike.

Dan Taylor is the founder and editor of International Search Insights (ISI), the publication behind ReadIsi, and a Partner and Head of Innovation (Search & AI) at SALT.agency. He has worked in search for more than a decade, in-house and agency-side, and is regarded as one of the West’s leading voices on search engines beyond Google, including Yandex, Baidu, Naver and Cốc Cốc. On ReadIsi, Dan covers the engines and AI answer platforms that English-language coverage tends to miss: Baidu and ERNIE, Yandex and Alice AI, Naver, Cốc Cốc, Shenma, Sogou, WeChat and Weibo search, plus DeepSeek and Alibaba’s Qwen. He also keeps dated records of documented changes, such as the Yandex, Baidu and Naver algorithm update histories and the DeepSeek, ERNIE and Qwen model update histories. His approach is to take learnings from global search engines and apply logic with a high evidence threshold. A claim needs a source, patterns seen in one market are treated as a hypothesis until they are checked in another, and where the evidence is thin he says so. For brands, that means advice built on what can be shown, with measurement that separates being cited from being chosen. Dan is credited with coining the term “edge SEO” and won the inaugural TechSEO Boost research competition in 2018 for his work on CDN and edge changes for SEO. In 2026 he was credited with coining “Infinite Tail” to describe how keyword research is changing with AI search. He is the author of AI Search Marketing For The Travel Sector, writes for Search Engine Journal, Search Engine Land and Travel Marketing Guy, and has advised technology, SaaS, travel and enterprise ecommerce brands, including Cloudflare, GitLab and Airbnb. He has given multiple talks and panels at the International Search Summit in Barcelona, and has also spoken at Optimization Moscow, brightonSEO, Google Search Central Live Deep Dive Asia in Bangkok, Athens SEO and the Asia SEO Virtual Summit 2026, where his talk looked at how Baidu, Naver, DeepSeek, Tencent, Cốc Cốc and Yandex built their own AI answers.