Advanced Level

AI Advanced Trading Course

Master algorithmic trading, machine learning strategies, and AI-powered market analysis to gain a competitive edge in modern trading.

12 Weeks
Live Sessions
Certificate Included

Course Overview

The AI Advanced Trading Course is designed for traders who want to leverage artificial intelligence, machine learning, and algorithmic trading to enhance their trading performance. Learn to build automated trading systems, backtest strategies using Python, and implement AI-powered predictive models for market analysis.

What You'll Learn

Python programming for trading
Machine learning algorithms
Automated trading systems
Strategy backtesting
Sentiment analysis
Deep learning models
Risk management algorithms
API integration
Portfolio optimization
Predictive modeling
Real-time data processing
Trading bot development

Who This Course Is For

Experienced traders wanting to automate strategies
Programmers interested in quantitative trading
Finance professionals exploring algorithmic trading
Data scientists wanting to apply AI in markets
Tech-savvy investors seeking automation
₹49,999

One-time payment

12 weeks of intensive training
Live coding sessions
Python trading toolkit
AI model templates
Lifetime access to materials
Certificate of completion
Enroll Now

Course Details

Duration12 Weeks
Classes48 Live Sessions
LevelAdvanced
LanguageHindi & English
PrerequisitesTrading Experience

Course Curriculum

1
Module 1

Python for Trading

  • Python basics and environment setup
  • Pandas for data analysis
  • NumPy for numerical computing
  • Data visualization with Matplotlib
  • Working with financial APIs
2
Module 2

Algorithmic Trading Fundamentals

  • Trading strategy development
  • Backtesting frameworks
  • Performance metrics
  • Order execution algorithms
  • Risk management systems
3
Module 3

Machine Learning for Trading

  • Supervised learning models
  • Feature engineering
  • Model selection and validation
  • Prediction and classification
  • Ensemble methods
4
Module 4

Deep Learning Applications

  • Neural networks basics
  • LSTM for time series
  • Convolutional networks for patterns
  • Reinforcement learning
  • Model optimization
5
Module 5

Natural Language Processing

  • News sentiment analysis
  • Social media monitoring
  • Text preprocessing
  • Sentiment scoring models
  • Real-time news trading
6
Module 6

Building Trading Bots

  • Bot architecture design
  • API integration (Zerodha, Upstox)
  • Order placement automation
  • Error handling and logging
  • Bot deployment and monitoring

Ready to Master AI-Powered Trading?

Join our advanced course and learn to build sophisticated trading systems using artificial intelligence and machine learning.

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