Carefully selected materials to support your AI learning journey in banking.
These resources are aligned with your learning path and designed to fit within your 2-3 hour weekly time commitment.
Comprehensive course teaching Python specifically for financial applications.
Platform: Udemy
Time Commitment: ~1 hour per week (selected modules)
Ideal for: Phase 1, Weeks 1-4
Access ResourceInteractive course focused on financial data analysis with Python.
Platform: DataCamp
Time Commitment: ~1 hour per week
Ideal for: Phase 1, Weeks 1-4
Access ResourceComprehensive reference that connects Python programming with financial concepts.
Author: Yves Hilpisch
Time Commitment: Reference material as needed
Ideal for: Ongoing reference throughout Phase 1
View BookFocused course on linear algebra fundamentals for AI applications.
Platform: Coursera - Imperial College London
Time Commitment: ~1-2 hours per week
Ideal for: Phase 1, Weeks 5-6
Access ResourceFree, self-paced modules on statistics fundamentals.
Platform: Khan Academy
Time Commitment: ~1 hour per week
Ideal for: Phase 1, Weeks 7-8
Access ResourceBusiness-focused introduction to AI concepts and applications.
Platform: Udemy
Time Commitment: ~1 hour per week
Ideal for: Phase 2, Weeks 9-10
Access ResourceComprehensive business perspective on AI implementation.
Platform: Coursera - Wharton
Time Commitment: Select specific modules (~1-2 hours per week)
Ideal for: Phase 2, Weeks 9-12
Access ResourceAccessible overview of AI concepts for non-technical leaders.
Author: Melanie Mitchell
Time Commitment: ~30 minutes of reading per week
Ideal for: Supplementary reading throughout Phase 2
View BookComprehensive resource on AI applications in banking.
Source: Google Cloud
Time Commitment: Self-paced reading (~30 minutes)
Ideal for: Phase 2, Weeks 13-14
Access ResourceCollection of real-world banking AI implementation examples.
Source: DigitalDefynd
Time Commitment: ~30 minutes per case study
Ideal for: Phase 2, Weeks 13-16
Access ResourcePractical guide to AI team composition and management.
Source: RTS Labs
Time Commitment: Self-paced reading (~30 minutes)
Ideal for: Phase 3, Weeks 17-18
Access ResourceStrategies for overseeing AI projects as a team manager.
Source: LinkedIn
Time Commitment: Self-paced reading (~30 minutes)
Ideal for: Phase 3, Weeks 19-20
Access ResourceComprehensive framework for AI governance and oversight.
Source: World Economic Forum
Time Commitment: ~1 hour per module
Ideal for: Phase 3, Weeks 21-24
Access ResourceComprehensive deep learning curriculum by Andrew Ng.
Platform: Coursera - DeepLearning.AI
Time Commitment: Select specific modules (~1-2 hours per week)
Ideal for: Phase 4, Weeks 25-26
Access ResourceFocused curriculum on NLP techniques and applications.
Platform: Coursera - DeepLearning.AI
Time Commitment: Select specific modules (~1-2 hours per week)
Ideal for: Phase 4, Weeks 27-28
Access ResourcePractical course on time series analysis for financial applications.
Platform: DataCamp
Time Commitment: ~1-2 hours per week
Ideal for: Phase 4, Weeks 29-30
Access ResourceComprehensive exploration of AI ethics considerations.
Source: The Turing Institute
Time Commitment: ~1 hour per week
Ideal for: Phase 5, Weeks 37-40
Access ResourceGuide to transforming organizations through AI adoption.
Author: David Carmona
Time Commitment: ~30 minutes of reading per week
Ideal for: Phase 5, Weeks 45-48
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