Algorithmic Trading A-Z with Python, Machine Learning & AWS — 92% Off Coupon

Build your own truly Data-driven Day Trading Bot | Learn how to create, test, implement & automate unique Strategies.

4.4 46,646 students enrolledCreated by Alexander HagmannLast updated: 🌐 English

Course Overview — Key Details

A quick-reference summary of the most important course details: provider, instructor, difficulty, duration, and what the coupon covers.

•Course Title: Algorithmic Trading A-Z with Python, Machine Learning & AWS
•Provider: Udemy (listed via CourseSpeak)
•Instructor: Alexander Hagmann
•Coupon Verified On: January 4, 2026
•Difficulty Level: All Levels
•Category: Finance & Accounting
•Subcategory: Python
•Duration: 44h 30m of on-demand video
•Language: English
•Access: Lifetime Access · Mobile & TV compatible
•Certificate: Certificate of completion included
•Top Learning Outcomes: Build automated Trading Bots with Python and Amazon Web Services (AWS) · Create powerful and unique Trading Strategies based on Technical Indicators and Machine Learning / Deep Learning. · Rigorous Testing of Strategies: Backtesting, Forward Testing and live Testing with paper money.
•Prerequisites: No prior Python knowledge required. This course provides a Python Crash Course. · No prior Finance/Trading knowledge required. This course explains the Basics.
•Coupon: Click REDEEM COUPON below to apply discount
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What You'll Learn

Skills and competencies you'll gain from this Udemy course:

✓Build automated Trading Bots with Python and Amazon Web Services (AWS) .
✓Create powerful and unique Trading Strategies based on Technical Indicators and Machine Learning / Deep Learning. .
✓Rigorous Testing of Strategies: Backtesting, Forward Testing and live Testing with paper money. .
✓Fully automate and schedule your Trades on a virtual Server in the AWS Cloud. .
✓Truly Data-driven Trading and Investing. .
✓Python Coding and Object Oriented Programming (OOP) in a way that everybody understands it. .
✓Coding with Numpy, Pandas, Matplotlib, scikit-learn, Keras and Tensorflow. .
✓Understand Day Trading A-Z: Spread, Pips, Margin, Leverage, Bid and Ask Price, Order Types, Charts & more. .
✓Day Trading with Brokers OANDA, Interactive Brokers (IBKR) and FXCM. .
✓Stream high-frequency real-time Data. .
✓Understand, analyze, control and limit Trading Costs. .
✓Use powerful Broker APIs and connect with Python.

Course Requirements & Prerequisites

Background knowledge or tools recommended before starting this course:

•No prior Python knowledge required. This course provides a Python Crash Course.
•No prior Finance/Trading knowledge required. This course explains the Basics.
•A desktop computer (Windows, Mac, or Linux) capable of storing and running Anaconda. The course will walk you through installing the necessary free software.
•An internet connection capable of streaming HD videos.
•Some high school level math skills would be great (not mandatory, but it helps)

About This Udemy Course

Full course description including curriculum, tools covered, and learning methodology:

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About the Instructor

This course is taught by Alexander Hagmann. For full instructor bio, credentials, and other courses they teach, visit the instructor profile on Udemy.

•Instructor: Alexander Hagmann
•Field: Finance & Accounting
•Teaching Style: Practical, project-based learning (as described in course curriculum)

Is the Algorithmic Trading A-Z with Python, Machine Learning & AWS Coupon Worth It?

Algorithmic Trading A-Z with Python, Machine Learning & AWS is a finance & accounting course offered on Udemy by instructor Alexander Hagmann, spanning 44h 30m of on-demand content. It holds a 4.4/5 rating from over 46,646 enrolled students.

Through CourseSpeak, you can access this course with a 92% discount coupon. The coupon was last verified on January 4, 2026. Udemy coupons are time-limited and claimed on a first-come basis — we recommend redeeming as soon as possible.

New to redeeming coupons? Visit our How to Redeem Udemy Coupon on CourseSpeak for detailed instructions on how to apply coupon codes.

✓ Our Take: Based on the rating (4.4/5) and enrollment numbers (46,646 students), this course appears well-regarded in its category. Use the coupon to access it at a significantly reduced price — and judge for yourself using Udemy's 30-day money-back guarantee.

Course Rating Summary

Aggregate rating data sourced from Udemy as of January 2026. For individual student reviews, visit the course page directly.

4.4
46,646 ratings
5 stars
75%
4 stars
15%
3 stars
6%
2 stars
2%
1 star
2%

* Rating distribution is estimated. For exact per-star counts, visit the Udemy course page.

Frequently Asked Questions

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