Program
LLM Data Science Bootcamp
Deploy a retrieval-augmented LLM application you can demo in interviews.
Fit
Who this is for
- Engineers and data scientists adding generative AI to their toolkit
- Analysts who want to build LLM-powered internal tools
- Founders prototyping AI products
What you learn
Curriculum
Logistics
Format and schedule
Format
Live online, project-first
Next cohort
Placeholder: 8 weeks · next cohort TBA
Commitment
10–15 hours per week, including live sessions
Team
Your mentors
Tyler Suard
AI Engineer at Facebook
AI engineer building LLM-powered products. Tyler mentors on prompt engineering, retrieval pipelines and agent design.
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Arafat Mokhtar
Meta
Engineer at Meta working on large-scale systems and applied machine learning.
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Tirthajyoti Sarkar
Onsemi
Semiconductor AI lead and prolific author on Python, machine learning and optimization.
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Abraham Kang
Samsung
Security and AI specialist mentoring on LLM application architecture and safe deployment.
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Results
Outcomes
“Two months in I was the person my team asked about LLM architecture.”
Huseyin Salis — Data Scientist at Consumers Energy
Tuition can be paid upfront or in monthly installments. See payment options.
Next step
Register for this program
What happens after you register
- 1. Registration — a mentor reviews your background within one business day.
- 2. Interview — a 20-minute entry interview to confirm fit and your entry point.
- 3. Approval — the panel confirms your seat.
- 4. Payment — you choose upfront, instalments, or employer sponsorship.
FAQ
Frequently asked questions
Next steps
Other programs
Not sure which program fits? Book a free info session.
Talk to a mentor about your background, your target role, and which cohort makes sense.