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Program profile · official sources
Advanced Machine Learning and AI Applications in Finance
365 Data Science's 'Advanced Machine Learning and AI Applications in Finance' is an advanced-level online course designed to teach learners how to apply machine learning and AI to real-world financial problems. Instructed by Professor Gerhard Kling, the 3-hour provider headline duration covers predictive modeling for financial time series, portfolio optimization, asset pricing, and reinforcement learning. Earning the provider-issued course certificate requires completing the course and passing the associated course exam with a score of 60% or higher. The provider lists 4 CPE credits; however, acceptance depends on individual state boards. Required prerequisites include Python (Pandas, NumPy), basic understanding of time series analysis, and basic understanding of machine learning. Pricing observations in the United States on 11 October 2026 indicate platform subscription access rather than a fixed per-course fee.
Facts checked 11 Oct 2026
- Price
- See pricing
Price observation recorded 11 Oct 2026 (not a current price): As shown in the United States on 11 October 2026, access sits in the Self-study plan at USD 29 a month billed annually; there is no fixed completion price.
- Provider link
See price and enroll at 365 Data Science (official site) ↗
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- Time
- 3 hours (provider headline). Lessons (2 hours) and Practice exams (1 hour) are explicitly listed. The course exam is 90 minutes. There is no inferred elapsed time.
- Level
- Advanced
- Credential
- Provider-issued course certificate
Verifiable credential with Credential ID and Credential Link; sharable on LinkedIn/resumes; downloadable upon course completion and passing the exam. Certificates are included with the Self-study learning plan.
- Prerequisites
- Required: Python (Pandas, NumPy), Basic understanding of time series analysis, Basic understanding of machine learning.
- Format
- Online Course
Sources ↗
- Duration : https://365datascience.com/courses/advanced-machine-learning-and-ai-applications-in-finance/
- Official program page : https://365datascience.com/courses/advanced-machine-learning-and-ai-applications-in-finance/
- Credential details : https://365datascience.com/certificates/
- Cost terms : https://365datascience.com/pricing/
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No accepted numeric price in this registry. See the sourced pricing details below.
See the full registry price landscape. Prices retain their stated payment scope; they are not comparable completion costs.
What’s covered
- Introduction
- Advanced Predictive Modelling for Financial Time Series
- ML/AI for Portfolio Management and Asset Pricing
- Course exam
Prerequisites: Required: Python (Pandas, NumPy), Basic understanding of time series analysis, Basic understanding of machine learning.
What you actually do
- Introduction : 17 min; Section 1 · Source
- Advanced Predictive Modelling for Financial Time Series : 41 min; Section 2 · Source
- ML/AI for Portfolio Management and Asset Pricing : 59 min; Section 3 · Source
- Course exam : 90 min; Section 4 · Source
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What the credential is
- Credential type
- Provider-issued course certificate · 365datascience.com / advanced-machine-learning-and-ai-applications-in-finance
- Credential
- Course Certificate · 365datascience.com / certificates
- Issuer
- 365 Data Science · 365datascience.com / certificates
- Sharing
- Verifiable credential with Credential ID and Credential Link; sharable on LinkedIn/resumes; downloadable upon course completion and passing the exam. Certificates are included with the Self-study learning plan. · 365datascience.com / certificates
- Exam requirement
- Requires both course completion and passing the associated course exam with a score of 60% or above. Certificates are included with the Self-study learning plan. · 365datascience.com / certificates
We may earn a commission. It does not change our facts.
Alternatives in the registry
Related by topic or level.
- AI Applications for Business Success : Check official price; 2 hours (provider headline; module and exam timings listed separately).
- Convolutional Neural Networks with TensorFlow in Python : Check official price; 4 hours (provider headline; module and exam timings listed separately).
- Deep Learning with TensorFlow 2 : Check official price; 5 hours (provider headline; module and exam timings listed separately).
Change log
- : Initial recorded review of official program details. · Source
- : Publishing-day recheck of official US sources. Self-study price observation updated to the 11 October 2026 display: $29/month billed annually. · Source
We may earn a commission. It does not change our facts.
See price and enroll at 365 Data Science (official site) ↗
We may earn a commission. It does not change our facts.