Bootcamp: Advanced AI for Traders & Asset Managers
Details
RSVP here on Meetup for updates, but registration is only confirmed via our website.
Apply and get all details here:
[`https://www.quantinsti.com/advanced-ai-bootcamp-traders-asset-managers`](https://www.quantinsti.com/advanced-ai-bootcamp-traders-asset-managers)
Advanced AI for Traders & Asset Managers: Hands-on Bootcamp
A 16-day intensive that turns AI concepts into deployable trading workflows through 7 guided projects and 4 live mentoring days. Learn agentic AI for research, LSTM allocation, robust walk-forward analysis, and LLM-driven sentiment signals.
Who should join
- CMTs/Technical Analysts
Little/no ML background, seeking structured AI entry. - Traders & Asset Managers
Learn frameworks used in global trading desks. - Data Scientists/Analysts
ML knowledge, but limited market implementation.
Why join this bootcamp?
- Intense learning
This bootcamp compresses years of trial-and-error learning into 2–3 intensive days - Market-ready debugging and execution hygiene
Cost functions, drift detection, risk monitoring, retraining cadence. - High ROI
Even quickly discarding weak ideas saves months of wasted effort. - Hands-on and practical
Build, backtest, and deploy strategies with curated datasets, backtesting frameworks, and market APIs. - Exclusive Add-Ons
Gain access to ready-to-use code templates and support throughout the bootcamp.
What you will learn
- Build Your Own Trading/Research Bot using Agentic AI
- Implementing LSTM Allocation Strategies
- Deep Autoregressive Models & Transformers
- Robust Portfolio Backtesting via Walk-Forward Analysis
- LLMs for Sentiment Analysis in Trading
- Capstone Project Presentations + Q&A
Dates and format
- Nov 1 to Nov 16, 2025
- Timing: 4:00 to 9:00 PM IST in two blocks (4 to 6 PM, 7 to 9 PM)
- Limited seats.
Fees
- Program fee: INR 82,000 for India, USD 1499 for non-India
Entry criteria
- To ensure quality and peer learning, enrollment requires EPAT Certification of Excellence OR Passing an Entrance Test conducted by QuantInsti
Faculty
- Dr. Thomas Starke
AI & portfolio management pioneer - Dr. Ernest P. Chan
Global leader in quantitative trading & AI - Ishan Shah
Practitioner in ML-driven trading - Vivek Krishnamoorthy
Head of Content & Research at QuantInsti - Rekhit Pachanekar
Practitioner in ML-driven trading
How to join
RSVP here for updates, but registration is confirmed only on our website.
Apply and get full details: https://www.quantinsti.com/advanced-ai-bootcamp-traders-asset-managers
