--- source_url: "https://academy.nebius.com/ai-engineering-uk" title: "AI Performance Engineering Course | LLM Systems (London)" mirrored_at: 2026-08-13T01:42:51.879Z host: academy.nebius.com cited_in_42a: true mirror_canonical: "https://index.42a.ai/academy.nebius.com/ai-engineering-uk" --- > **Original source:** https://academy.nebius.com/ai-engineering-uk ![United Kingdom flag waving against a blue sky.](https://cdn.prod.website-files.com/67af0fb7b48edc18a23f4d58/696f8e3a60b374715fc0ea12_%F0%9F%87%AC%F0%9F%87%A7.avif) London Free course Upgrade your stack with AI engineering skills in this practical, industry-focused 14-week programme for experienced developers. [ Join the waitlist ](#waitlist) Applications are closed ![Code snippet defining eval\_agent function in Python for running an agent on an issue and testing the patch success.](https://cdn.prod.website-files.com/67af0fb7b48edc18a23f4d58/696a8e5999db04bf6771d4c2_LinkedIn.webp) Bring AI to production Explore LLM internals and training, scalable deployment, MLOps, and performance optimization. Follow real AI workflows Learn inference scaling, RAG systems, experiment management, and post-training. Build real-world projects Work on real projects that focus on practical AI methods and hands-on experimentation. Learn from top experts Get guidance from engineers and researchers working at Nebius, OpenAI, Rasa, and Evidently AI. ## Build the experience to advance as an AI engineer ![A group of people sitting attentively in a lecture or meeting room.](https://cdn.prod.website-files.com/67af0fb7b48edc18a23f4d58/696b8df101546f1d033f36a3_Frame%202087332434.webp) ## In-person classes in central London Study in a focused environment and work closely with peers during live sessions. 14 weeks 2 classes per week 200+ hours lectures, lab work, and homework assignments ## Who is this for? 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 ### What we expect from our students Python programming experience Basic ML knowledge (welcome) Familiarity with cloud platforms or deployment tools (a plus) ![Portraits of a smiling man with short dark hair and a woman with long curly hair, both against blue backgrounds.](https://cdn.prod.website-files.com/67af0fb7b48edc18a23f4d58/696ce25ada10f5246a552fea_Frame%202136140404.webp)![Man with short dark hair and green shirt smiling on a light blue background above woman with long curly hair and beige jacket smiling on a darker blue background.](https://cdn.prod.website-files.com/67af0fb7b48edc18a23f4d58/696ce51bda10f5246a556822_Group%202131332954.webp) ## Curriculum Module 1, March 21–April 18, Saturdays 12:30-15:30 From AI Model to AI Agent How to build AI agents for your business tasks on top of third-party APIs. Module 2, March 18–May 6, Wednesdays 18:30-21:30 LLM Architectures From neural network essentials to the architectural choices that shape today's LLM landscape. Module 3, April 25–May 30, Saturdays 12:30-15:30 MLOps MLOps tools, experiment management, monitoring, and production deployment and scaling of AI systems. Module 4, May 13–June 17, Wednesdays 18:30-21:30 Performance Engineering LLM performance engineering: from speculative decoding and quantization to custom CUDA kernels. Module 5, June 6–June 20, Saturdays 12:30-15:30 LLM Post-Training Post-training and alignment of LLMs: from SFT to RL and back. Certification Upon graduating, students receive an official Nebius Academy AI Engineer Certificate. ## How to get started 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. 1 2 Application Fill out the form to submit your application. You’ll receive an email with details about the test and the next steps. Online test Take an online test assessing your analytical and programming skills. Acceptance to the course Successful candidates will receive an offer and be asked to confirm their spot. This marks the start of your AI engineering journey. [ Apply now ](#) ## Syllabus 5 Modules ![](https://cdn.prod.website-files.com/67af0fb7b48edc18a23f4d58/6839b03f373c2e04137b58ae_ModuleIcons-custom%20\(1\).svg) Module 1: From an AI model to an AI product 5 weeks, 3h/week ![](https://cdn.prod.website-files.com/67af0fb7b48edc18a23f4d58/6839a2209ce729d2f8392cf6_L.svg) - Intro to AI. Potential for startups and services.  - LLM APIs. Model zoo. Evaluation and benchmarks. Hallucinations and other risks - LLM orchestration. Tools and agents. MCPs - Test-time compute scaling. LLM Reasoning.  - Planning and agentic orchestration. Creating agentic systems with Agno AI and Python SDK for MCPs - Ensuring factuality. Databases and RAG. RAG evaluation ![](https://cdn.prod.website-files.com/67af0fb7b48edc18a23f4d58/6839b03f54961c9924ebf6d0_ModuleIcons-custom%20\(5\).svg) Module 2: LLM architecture 8 weeks, 3h/week ![](https://cdn.prod.website-files.com/67af0fb7b48edc18a23f4d58/6839a2209ce729d2f8392cf6_L.svg) - What is an AI model? Features and targets. From metric to loss  - How models are trained - Neural networks and learnable representations - Working with sequences. Tokenizers and the attention mechanism - Transformers, encoders and LLMs. Masked attention - Overview of LLM training. Fine tuning and LoRA - Architectural components of today’s LLMs. LLM inference: pre-fill and auto-regressive generation, KV-cache, PrefixCache. MoE. RoPE - AI models outside LLMs: vision, multimodality, life science ![](https://cdn.prod.website-files.com/67af0fb7b48edc18a23f4d58/6839b03faa5398f11f8973ba_ModuleIcons-custom%20\(4\).svg) Module 3: MLOps 6 weeks, 3h/week ![](https://cdn.prod.website-files.com/67af0fb7b48edc18a23f4d58/6839a2209ce729d2f8392cf6_L.svg) - What does it mean to deploy a service? What makes deployment of AI/LLM models special. Clouds and virtual machines. Docker containers. CI/CD. - Model deployment, batch and online.  - Organizing LLM inference. Production-ready LLM deployment with vLLM - Scaling. K8s and Terraform. Serverless options: Modal, Runpod - Evaluation, monitoring, observability, interpretability. Prometheus, Grafana, Evidently AI - Databases and storage for AI. Vector databases. S3 and object storages. - Experiment management. MLFlow ![](https://cdn.prod.website-files.com/67af0fb7b48edc18a23f4d58/6839b03fe6056364ba666da2_ModuleIcons-custom%20\(3\).svg) Module 4: Performance engineering 6 weeks, 3h/week ![](https://cdn.prod.website-files.com/67af0fb7b48edc18a23f4d58/6839a2209ce729d2f8392cf6_L.svg) - GPUs and why they are so important for neural networks. Cuda kernels. Network. GPU profiling - Efficient inference - architectural components, compilers, and inference providers - Efficient inference - speculative decoding and quantization - Parallel training: data, context, pipeline, model parallelism, fsdp. Megatron framework for distributed training - Low-level optimization: creating custom CUDA kernels with Triton ![](https://cdn.prod.website-files.com/67af0fb7b48edc18a23f4d58/683ec49f3aab2220a04cae6d_ModuleIcons-custom%20\(8\).svg) Module 5: LLM post-training 3 weeks, 3h/week ![](https://cdn.prod.website-files.com/67af0fb7b48edc18a23f4d58/6839a2209ce729d2f8392cf6_L.svg) - Why RL matters in AI: RLHF and RLVR, training models for coding and agentic tasks - Policy gradient, PPO, GRPO, DAPO. From RL to SFT: DPO. The trl and verl libraries - RL optimizations for LLMs and long-context training ## AI engineering skills, validated Prove your expertise Receive an industry-recognized certificate that validates your skills and completion of the course Boost your professional credibility Stand out to employers with a credential developed by cloud and AI experts Showcase your achievement In one click, add your certificate to your LinkedIn profile, CV, and portfolio to highlight your professional growth About Nebius Academy ## At Nebius Academy – the educational and research initiative of Nebius – we help professionals and teams use AI to its full potential.  We focus on applied AI, cloud education, and advanced professional training. ![People engaging in conversation at an indoor social gathering, with a woman smiling and talking to a man wearing glasses.](https://cdn.prod.website-files.com/67af0fb7b48edc18a23f4d58/6964cf4ab5db71495b87a820_Frame%202087332632.webp)![Man giving a presentation in a wood-paneled room with an audience facing him and a projection screen to the side.](https://cdn.prod.website-files.com/67af0fb7b48edc18a23f4d58/6964cf4b96e6b013bc4284c5_Frame%202087332633.webp) 15,000+ learners across Europe the US, and Israel 3,000+ engineers, researchers, and tech leaders in our community ![Three people smiling and posing at a table with coffee in an indoor setting.](https://cdn.prod.website-files.com/67af0fb7b48edc18a23f4d58/6964cf4a07e872060ce29df0_Frame%202087332631.webp)![A diverse group of adults sitting closely together in a room, attentively listening or watching something off-camera.](https://cdn.prod.website-files.com/67af0fb7b48edc18a23f4d58/6964cf4b633534b8045db42c_Frame%202087332634.webp) ![People engaging in conversation at an indoor social gathering, with a woman smiling and talking to a man wearing glasses.](https://cdn.prod.website-files.com/67af0fb7b48edc18a23f4d58/6964cf4ab5db71495b87a820_Frame%202087332632.webp)![Man giving a presentation in a wood-paneled room with an audience facing him and a projection screen to the side.](https://cdn.prod.website-files.com/67af0fb7b48edc18a23f4d58/6964cf4b96e6b013bc4284c5_Frame%202087332633.webp) 15,000+ learners across Europe the US, and Israel 3,000+ engineers, researchers, and tech leaders in our community ![Three people smiling and posing at a table with coffee in an indoor setting.](https://cdn.prod.website-files.com/67af0fb7b48edc18a23f4d58/6964cf4a07e872060ce29df0_Frame%202087332631.webp)![A diverse group of adults sitting closely together in a room, attentively listening or watching something off-camera.](https://cdn.prod.website-files.com/67af0fb7b48edc18a23f4d58/6964cf4b633534b8045db42c_Frame%202087332634.webp) ![People engaging in conversation at an indoor social gathering, with a woman smiling and talking to a man wearing glasses.](https://cdn.prod.website-files.com/67af0fb7b48edc18a23f4d58/6964cf4ab5db71495b87a820_Frame%202087332632.webp)![Man giving a presentation in a wood-paneled room with an audience facing him and a projection screen to the side.](https://cdn.prod.website-files.com/67af0fb7b48edc18a23f4d58/6964cf4b96e6b013bc4284c5_Frame%202087332633.webp) 15,000+ learners across Europe the US, and Israel 3,000+ engineers, researchers, and tech leaders in our community ![Three people smiling and posing at a table with coffee in an indoor setting.](https://cdn.prod.website-files.com/67af0fb7b48edc18a23f4d58/6964cf4a07e872060ce29df0_Frame%202087332631.webp)![A diverse group of adults sitting closely together in a room, attentively listening or watching something off-camera.](https://cdn.prod.website-files.com/67af0fb7b48edc18a23f4d58/6964cf4b633534b8045db42c_Frame%202087332634.webp) ![People engaging in conversation at an indoor social gathering, with a woman smiling and talking to a man wearing glasses.](https://cdn.prod.website-files.com/67af0fb7b48edc18a23f4d58/6964cf4ab5db71495b87a820_Frame%202087332632.webp)![Man giving a presentation in a wood-paneled room with an audience facing him and a projection screen to the side.](https://cdn.prod.website-files.com/67af0fb7b48edc18a23f4d58/6964cf4b96e6b013bc4284c5_Frame%202087332633.webp) 15,000+ learners across Europe the US, and Israel 3,000+ engineers, researchers, and tech leaders in our community ![Three people smiling and posing at a table with coffee in an indoor setting.](https://cdn.prod.website-files.com/67af0fb7b48edc18a23f4d58/6964cf4a07e872060ce29df0_Frame%202087332631.webp)![A diverse group of adults sitting closely together in a room, attentively listening or watching something off-camera.](https://cdn.prod.website-files.com/67af0fb7b48edc18a23f4d58/6964cf4b633534b8045db42c_Frame%202087332634.webp) ## Hear from our students ![](https://cdn.prod.website-files.com/67e16eb180bb6d0148b42af4/696f8af669d4f8e952a964c0_Image%20\(1\).avif) Dina Karakash **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. ![](https://cdn.prod.website-files.com/67e16eb180bb6d0148b42af4/694195f01f99c0ac5487adfa_Image-7.avif) Andi Mardinsyah **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. ![](https://cdn.prod.website-files.com/67e16eb180bb6d0148b42af4/696e2a23cc797c89cb231dcd_Image.avif) Semyon Abramov **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! ## Choose your learning track Both options are free and have the same admission requirements. Unsupervised Learning Track 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 Supervised Learning Track A structured learning path with mentorship, projects, and career support. Continued access depends on performance. Includes all Unsupervised Track content, plus: Individual mentorship Real-world projects with reviews and mentor feedback Cloud credits for hands-on practice Certificate upon successful completion Career support Performance requirement You’re expected to complete assignments and score at least 50% in each module. Otherwise, you’ll switch to the Unsupervised Learning Track. ## Any other questions? How does the application process work? ![](https://cdn.prod.website-files.com/67af0fb7b48edc18a23f4d58/693b30354e7b5b2fbb19c88e_plus.svg) First, candidates apply online through our website. Second, candidates take an online test. The test assesses analytical and basic programming skills and contains a programming task and a basic-level machine learning task. What level of coding skills is required to enter the programme? Do you require knowledge of specific languages? ![](https://cdn.prod.website-files.com/67af0fb7b48edc18a23f4d58/693b30354e7b5b2fbb19c88e_plus.svg) We require confident experience in Python and an understanding of common data structures. Programming tasks make up a large portion of the online test and require an existing programming background. During the program itself, the courses and home assignments will be in Python. Do I need to know machine learning to take this course? ![](https://cdn.prod.website-files.com/67af0fb7b48edc18a23f4d58/693b30354e7b5b2fbb19c88e_plus.svg) A basic understanding of machine learning and some foundational ML skills are recommended to feel comfortable with the material. What is the time commitment for this programme? ![](https://cdn.prod.website-files.com/67af0fb7b48edc18a23f4d58/693b30354e7b5b2fbb19c88e_plus.svg) We offer 6 weekly hours of lectures (2 classes per week), in addition to 10–12 weekly hours of independent work on assignments and projects. ‍ Is this programme free? ![](https://cdn.prod.website-files.com/67af0fb7b48edc18a23f4d58/693b30354e7b5b2fbb19c88e_plus.svg) We offer two learning tracks: Unsupervised Learning Track and Supervised Learning Track. Both are free. What is the main difference between the Supervised Track and the Unsupervised Track? ![](https://cdn.prod.website-files.com/67af0fb7b48edc18a23f4d58/693b30354e7b5b2fbb19c88e_plus.svg) The Unsupervised Track gives you access to all lectures, learning materials, and the student community, with no mandatory assignments or performance requirements. ‍ The Supervised Track includes additional benefits such as mentorship, project reviews, cloud credits, and career support. To remain in the Supervised Track, you need to complete assignments and achieve at least 50% in each module. If a module is not passed, you will continue the programme in the Unsupervised Track. ‍ This way, everyone can access the learning content, while supervised support is reserved for students who actively engage and meet the course requirements. ‍ Where does the programme take place? ![](https://cdn.prod.website-files.com/67af0fb7b48edc18a23f4d58/693b30354e7b5b2fbb19c88e_plus.svg) Lectures will be held in central London. What is Nebius? ![](https://cdn.prod.website-files.com/67af0fb7b48edc18a23f4d58/693b30354e7b5b2fbb19c88e_plus.svg) Nebius builds vertically integrated AI infrastructure that accelerates AI innovation globally and at scale. Headquartered in Europe, listed on Nasdaq, and operating globally, the company is also the founder of Nebius Academy. ‍ Our students can explore Nebius tools, benefit from the company’s AI expertise, and gain from its collaborations with universities and researchers that combine academic depth with industry practice. What is Nebius’s role in AI education? ![](https://cdn.prod.website-files.com/67af0fb7b48edc18a23f4d58/693b30354e7b5b2fbb19c88e_plus.svg) At Nebius, we believe AI should be both powerful and accessible. To drive innovation, we invest in programs for developers, engineers, tech leaders, and managers who want to master AI skills. As the founder of Nebius Academy, Nebius continues to prepare the next generation of AI professionals. Students can explore Nebius tools, benefit from the company’s expertise, and gain from its collaborations with universities and researchers that bring together academic and industry perspectives. Do I get a certificate at the end of the programme? ![](https://cdn.prod.website-files.com/67af0fb7b48edc18a23f4d58/693b30354e7b5b2fbb19c88e_plus.svg) A certificate is awarded to the Supervised Learning Track students who attend at least 80% of classes and submit at least 80% of homework assignments that are graded as passing.