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Build Financial Software & Generative AI-Manning (2025)

Original price was: $49.99.Current price is: $4.99.

Learn to build secure financial applications using generative AI. Explore tools for automation, prediction, and personalization.

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Additional information

Additional information

Authors

Chris Kardell, Mark Brouwer

Published On

101

Language

English

Format

pdf

Size (MB)

60.43 MB

Rating

⭐️⭐️⭐️⭐️⭐️ 4.180

Description

Build Financial Software & Generative AI Course

 

Introduction: Build Financial Software Generative AI is an advanced course designed to equip professionals and enthusiasts with the skills to develop cutting-edge financial software integrated with generative AI technologies. This comprehensive course provides hands-on learning, practical examples, and industry-relevant projects, ensuring learners can innovate in finance and AI simultaneously. Perfect for developers, data scientists, and finance professionals seeking to merge AI with financial software solutions.

Course Description

This course offers a structured and practical approach to building sophisticated financial applications powered by generative AI models. It covers both the theoretical foundations and real-world implementation strategies, allowing learners to understand financial data structures, predictive modeling, and AI integration. By the end of this course, participants will confidently design, develop, and deploy AI-driven financial applications while mastering tools, frameworks, and best practices used in the industry.

Students will explore key AI concepts such as natural language processing (NLP), machine learning algorithms, and generative AI techniques to enhance financial decision-making. Additionally, the course emphasizes secure coding practices, risk assessment, and optimization strategies for robust financial software systems.

What You’ll Learn

  • Designing financial software applications from scratch
  • Integrating generative AI models into financial platforms
  • Data preprocessing and feature engineering for financial datasets
  • Building predictive and generative models using Python and AI frameworks
  • Implementing secure and scalable financial software solutions
  • Evaluating AI performance in financial decision-making
  • Deploying AI-enhanced software to cloud environments

Requirements

  • Basic programming knowledge in Python or JavaScript
  • Understanding of finance and accounting principles is beneficial
  • Familiarity with machine learning concepts recommended but not mandatory
  • A computer with internet access to practice coding exercises

About the Publication

This course is based on the 2025 publication by Manning, authored by leading experts in AI and financial technology. The material combines rigorous academic research with hands-on software development practices to provide learners with actionable skills for the modern financial industry.

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Enroll now to gain expert knowledge in building financial applications enhanced by generative AI, and stay ahead in the rapidly evolving world of fintech and artificial intelligence.


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Additional information

Authors

Chris Kardell, Mark Brouwer

Published On

101

Language

English

Format

pdf

Size (MB)

60.43 MB

Rating

⭐️⭐️⭐️⭐️⭐️ 4.180

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