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Three weeks of hands-on AI engineering training for developers who want to build, evaluate and deploy AI applications.
Delivered by NVIDIA engineers in collaboration with YTU Startup House. Expect code, APIs, architecture decisions and working systems.
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Discover. Learn. Take Action.
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4 weeks
Training series: delivered online
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800+ builders
Developers, software engineers, technical founders
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9 modules + Inspiration Day
Certificate of participation
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This three-week bootcamp is for developers who want a more rigorous understanding of building AI applications and the engineering trade-offs behind reliable workflows that are shipped to production.
You will work through the components of a modern AI application: inference, prompting, retrieval, tool use, MCP, agent orchestration, evaluation, security and deployment. The program concludes with Inspiration Day, bringing together technical talks, keynotes and conversations with AI practitioners, founders, and investors.
This is an AI 201 program. You should already be comfortable writing code and have basic familiarity with LLMs. The focus is practical AI engineering.
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The program includes hands-on work with NVIDIA developer tools and hosted GPU resources to explore the path from prototype to deployment. Core engineering concepts (such as LLM API integration) are vendor-neutral and transferrable across your stack!
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| Item | Detail |
|---|---|
| Format | Four-week AI Engineer Bootcamp led by NVIDIA's team + Inspiration Day (keynotes, technical sessions, networking) |
| Applications | September 14-October 5 2026 |
| Training series | 4 weeks Online |
| Inspiration Day | Program schedule will be announced in October. |
| Training language | English. All sessions, materials, code and Q&A. |
| Audience | Developers, software engineers, technical founders aged 18 to 35 |
| Prerequisite & level | Ability to code, plus basic LLM/AI familiarity. Advanced beginner (AI 201, not 101) |
| Capacity | 800+ participants |
| Certificate | Certificate of participation for attendees |
| Curriculum Collaborator | NVIDIA |
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Application responses help the program team calibrate the depth and pace of the technical content. The aim is to keep the program appropriately challenging for engineers without assuming specialist ML experience.
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flowchart LR
A["Week 1<br>LLM internals and inference"] --> B["Week 2<br>Prompt engineering and retrieval"]
B --> C["Week 3<br>Tool calling, agents and evaluation"]
C --> D["Week 4<br>Security and production deployment"]
D --> E["Inspiration Day<br>Keynotes and networking"]
Each module is delivered by NVIDIA engineers. Trainer profiles and module/session assignments live here: