ESIA — School of Applied Artificial Intelligence
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Practical, project-driven programs designed to train professionals who can build, deploy, and iterate on production-ready AI systems — with real business impact.
Project-based delivery
Every module leads to a concrete deliverable: cleaned datasets, evaluated models, deployed demos, and documentation.
Business-first approach
Learn to frame AI problems, estimate ROI, define success metrics, and communicate results clearly to stakeholders.
Production-ready mindset
Versioning, testing, monitoring, CI/CD basics, and MLOps practices — the foundations of serious AI engineering.
Flexible bootcamp formats
Choose the pace that matches your schedule. Both tracks are guided and portfolio-oriented.
4-week Intensive
Full-time bootcamp
- Fast-track foundations in ML + GenAI + deployment basics
- Hands-on labs and weekly deliverables
- A coherent portfolio by the end of the track
10-week Part-time
Weekend format
- Compatible with a full-time job
- Steady progress with guided milestones
- Real-world case studies and demos
What you will be able to do
- Identify high-value AI use cases and define measurable success metrics
- Build ML/GenAI prototypes and evaluate them with robust methodology
- Deploy AI as services (API, container) and iterate safely with versioning
- Communicate results with clear reports, dashboards, and stakeholder-ready demos
Career outcomes
Roles typically targeted after ESIA:
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