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Deep Learning for Finance: AI Techniques for Algorithmic Trading and Investment Strategies

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Use AI techniques for deep learning to build algorithmic trading strategies and improve financial decision-making.

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Additional information

Additional information

Authors

Sofien Kaabar

Publisher

Packt Publishing

Published On

2024

Language

English

ISBN

978-1789136368

Format

pdf

Size (MB)

8.72 MB

Description

Deep Learning for Finance Course: Algorithmic Trading and Investment Strategies

Deep Learning for Finance is the focus keyphrase for this course, appearing right at the start to help you use this introduction as a perfect meta description. This comprehensive training program is designed to help traders, data scientists, and finance professionals master AI-driven decision-making, algorithmic trading models, and modern investment strategies powered by neural networks.

Course Overview

The financial world is rapidly transforming, and artificial intelligence is at the center of this evolution. This “Deep Learning for Finance: AI Techniques for Algorithmic Trading and Investment Strategies” course equips you with advanced tools, frameworks, and hands-on skills to build intelligent trading systems. Whether you’re an absolute beginner in deep learning or a seasoned finance professional wanting to enhance your quantitative capabilities, this course provides end-to-end clarity.

What You Will Learn

  • Fundamentals of deep learning and neural networks for financial applications
  • Risk modeling, volatility forecasting, and market behavior prediction techniques
  • Building trading algorithms using LSTM, CNNs, RNNs, and Transformer architectures
  • Portfolio optimization with reinforcement learning and AI-driven asset allocation
  • Hands-on projects in Python, TensorFlow, PyTorch, and real-world market datasets

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Who Should Enroll?

This course is ideal for quantitative analysts, financial engineers, traders, AI enthusiasts, researchers, and portfolio managers who want to stay ahead in a data-driven market. It’s also beneficial for Python developers seeking to transition into finance and machine learning.

Career Path After Completing the Course

  • AI Quantitative Analyst
  • Machine Learning Engineer (Finance)
  • Algorithmic Trader
  • Financial Data Scientist
  • Portfolio Strategist (AI-driven)

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Why This Course Matters

From hedge funds to fintech startups, organizations worldwide rely on AI to generate alpha and manage risk. This course helps you build a strong foundation and practical expertise to excel in this competitive field. By the end, you’ll be able to create your own automated trading models, evaluate financial signals, and deploy AI systems with confidence.


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Additional information

Authors

Sofien Kaabar

Publisher

Packt Publishing

Published On

2024

Language

English

ISBN

978-1789136368

Format

pdf

Size (MB)

8.72 MB

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