Upgrade your stack with AI engineering skills in this practical, industry-focused 14-week program for experienced developers.
Explore LLM internals and training, scalable deployment, MLOps, and performance optimization.
Learn inference scaling, RAG systems, experiment management, and post-training.
Work on real projects that focus on practical AI methods and hands-on experimentation.
Get guidance from engineers and researchers working at Nebius, OpenAI, Rasa, and Evidently AI.
Study in a focused environment and work closely with peers during live sessions.
2 classes per week
lectures, lab work, and homework assignments
Solution architects working with cloud-based AI systems
Software developers & engineers building or integrating AI features
ML engineers, data scientists & DevOps specialists involved in model deployment and tooling
Professionals looking to build AI workflows and understand how modern LLM systems operate in production
How to build AI agents for your business tasks on top of third-party APIs.
From neural network essentials to the architectural choices that shape today's LLM landscape.
MLOps tools, experiment management, monitoring, and production deployment and scaling of AI systems.
LLM performance engineering: from speculative decoding and quantization to custom CUDA kernels.
Post-training and alignment of LLMs: from SFT to RL and back.
Upon graduating, students receive an official Nebius Academy AI Engineer Certificate.
Apply now and start building the skills you’ll use in real AI production work.
With a thorough admission process, we create a supportive learning environment and make sure every candidate has the time and ability to succeed in this intensive course.
Fill out the form to submit your application. You’ll receive an email with details about the test and the next steps.
Take an online test assessing your analytical and programming skills.
Successful candidates will receive an offer and be asked to confirm their spot. This marks the start of your AI engineering journey.
Receive an industry-recognized certificate that validates your skills and completion of the program
Stand out to employers with a credential developed by cloud and AI experts
In one click, add your certificate to your LinkedIn profile, CV, and portfolio to highlight your professional growth
We focus on applied AI, cloud education,
and advanced professional training.
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Job: Venture Partner and Head of AI & Research
Course: Intro to ML from an LLM Standpoint
Most students were already in the field, tackling real AI challenges — from building models and AI agents to applying flexible AI frameworks in specific industries. The lecturers were both researchers and practitioners deeply passionate about AI. This course went well beyond 36 hours of content.
Job: Data Scientist
Course: Practical Generative Al
I chose the Generative AI program from Nebius Academy because of its well-structured curriculum that balances theory and practice. The first module on Generative AI applications was extremely useful, especially with its hands-on coding approach. Despite my busy schedule, the short yet informative lectures made learning manageable. This program is a great fit for Data Scientists working with NLP and LLM, and I’d definitely recommend it to my colleagues.
Job: Machine Learning Research Engineer
Course: Practical Generative AI
Excited to have completed the Practical Generative AI course by Nebius Academy! Over four months, I gained hands-on experience with LLMs, vision transformers, generative models, and efficient deep learning techniques. This program expanded my skills and deepened my understanding of Generative AI. Huge thanks to Stanislav Fedotov, Yana Vashkevich, and the entire team for an incredible learning experience!
Both options are free
and have the same admission requirements.
Self-paced learning without mentorship.
Ideal for independent learners or those focusing
on specific modules.
Access to all lectures (online and on-site)
Learning materials and lecture recordings
Community access
A structured learning path with mentorship, projects, and career support. Continued access depends on performance.
Individual mentorship
Real-world projects with reviews and mentor feedback
Cloud credits for hands-on practice
Certificate upon successful completion
Career support
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