AI in Trading & Investment
-
Understand AI Fundamentals
-
Identify Business Opportunities
-
Plan & Execute Projects
-
Evaluate Impact & Ethics
60 Hours
Lorem ipsum dolor sit amet,
Beginner level
No Prior Knowledge Required
Flexible Learning
Available in Online, Offline, and
Hybrid Modes
60 Hours
Lorem ipsum dolor sit amet
Program Overview
Key Features
Short-duration / modular format (ranges from 1 day to 30+ hours) for focused learning
Hybrid delivery mode with hands-on labs & projects
Beginner-friendly; minimal prerequisites (basic cybersecurity or networking background useful)
Instruction + exam prep sessions + practice questions
Real-world use cases: threat detection, phishing, malware analysis, anomaly detection, adversarial attacks, etc.
Certificate awarded on completion
Skills Covered
-
Generative AI + ML models (GANs, VAEs, LLM basics) in security
-
Adversarial attacks & defenses, threat modelling
-
Network anomaly & intrusion detection
-
Malware & phishing detection and analysis
-
Incident response automation & threat intelligence forecasting
-
Ethical, legal, and privacy concerns in AI security
Course Curriculum
Module 1 • 10 hour to complete
• AI applications in trading & investment management
• Traditional vs AI-driven quantitative strategies
• Data sources: market data, alt-data, news feeds
• Quiz: AI in Trading Basics
Module 2 • 10 hour to complete
• Feature engineering for trading signals
• Sentiment analysis on news & social media
• Handling high-frequency data streams
• Hands-on: Preparing stock dataset for ML
• Quiz: Data Engineering in Trading
Module 3 • 10 hour to complete
• Technical indicator modeling with ML
• Factor modeling & feature selection
• Case study: Predicting short-term price movements
• Quiz: ML for Trading
Module 4 • 10 hour to complete
• Deep learning for portfolio optimization
• Generative AI for synthetic trading data
• Risk management & stress testing with AI
• Quiz: Advanced AI in Trading
Module 5 • 10 hour to complete
• Cloud-based deployment of trading models
• Ethical & regulatory considerations in AI trading
• Final Project: AI-powered trading bot prototype
Tools & Technologies
Completion Certificate
Job Role
- AI Security Analyst
- Cybersecurity Engineer
- Incident Response Engineer
- Threat Intelligence Specialist
- Security Operations Center (SOC) Analyst / Engineer
- Network Security Engineer
- Penetration Tester (AI & ML assisted)
- Secure DevOps / MLOps Engineer
Training Option
OFFLINE
- 24/7 support
- 24/7 support
- 24/7 support
ONLINE
- 24/7 support
- 24/7 support
- 24/7 support
HYBRID
- 24/7 support
- 24/7 support
- 24/7 support
Why Join this Program
Earn a job
Receive complete job assistance tailored to your career goals. Get expert placement guidance to confidently step into the industry.
Leverage knowledge from industry experts
Learn directly from seasoned Trainers and Gain real-world insights that go beyond textbooks.
Industry-relevant Tools & Practical Learning
Get hands-on experience with the latest tools used by top companies. Hands-on learning through 200+ exercises and 10+ projects with seamless access to integrated labs.
Structured, industry-vetted curriculum
A curriculum shaped by experts to meet evolving industry demands. Structured learning ensures you're career-ready from day one.
Integrated with Gen AI Modules
The curriculum includes cutting-edge Generative AI modules designed to align with emerging tech trends.
Interview preparation & Placement assistance
Sharpen your interview skills with practical training and expert guidance. Receive complete placement support to connect with top recruiters.