Machine Learning & Deep Learning
Build strong foundations in machine learning, deep learning, and modern AI architectures.
DeployAI 2026 is an intensive 14-day winter school designed to bridge the gap between learning artificial intelligence concepts and deploying reliable, scalable, and responsible AI systems in real-world environments.
The programme covers the complete AI lifecycle, beginning with the foundations of machine learning and deep learning and progressing toward foundation models, large language models, MLOps, cloud-native deployment, responsible AI, and end-to-end AI application development.
Through expert-led sessions, guided laboratories, industry-oriented case studies, deployment exercises, collaborative activities, and a final capstone project, participants will gain both theoretical understanding and practical experience in building production-ready AI solutions.
Key Programme Highlights
Foundation Models & Large Language Models
Gain practical exposure to foundation models and large language models, including how they are used in modern AI systems.
End-to-End AI Application Development
Learn how to build complete AI applications, from data preparation and model development through integration and deployment.
MLOps & Model Lifecycle Management
Gain hands-on experience with MLOps pipelines, model monitoring, deployment workflows, and lifecycle management for reliable AI systems.
Cloud-Native AI Deployment
Develop practical skills with cloud-native tools, containers, APIs, and scalable deployment practices for production AI systems.
Responsible & Reliable AI
Understand responsible AI principles including model reliability, safety, fairness, ethical deployment, and trustworthy AI system design.
Industry-Oriented Case Studies
Explore industry-oriented case studies that connect academic AI concepts with practical deployment challenges and real-world requirements.
Guided Labs & Collaborative Learning
Participate in guided laboratory sessions, deployment exercises, and collaborative problem-solving activities designed to reinforce practical AI skills.
Expert Interaction
Interact with academic experts, researchers, and industry professionals to gain broader perspectives on AI research, engineering, and deployment.
Final Capstone Project
Design, develop, and deploy a complete AI solution as a final capstone project that brings together the concepts, tools, and deployment practices covered throughout the programme.