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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

Related topics

Algorithmic Trading
Trading Education

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