Price History for Artificial Intelligence: Reinforcement Learning in Python

Name: Artificial Intelligence: Reinforcement Learning in Python Price History
Published: Thu, April 30, 2026
License: http://www.apache.org/licenses/LICENSE-2.0.html
Keywords: price history

This page shows the historical price changes available for Artificial Intelligence: Reinforcement Learning in Python from the retailer Udemy, helping shoppers understand how the price has changed over time and whether the current price is a good deal. This can help you identify common predictable discount patterns, such as seasonal sales or clearance events, and the best time to buy to avoid overpaying.

From Saturday, March 26, 2022 to Thursday, April 30, 2026, this product’s price ranged from $74.99 to $79.99, with the lowest price occurring on Friday, May 23, 2025. If you’re deciding whether to buy now or wait, reviewing historical pricing can help you determine if the current price is above or below the typical range of $76.50 on average in this case.

Glass It monitored this product’s price for 2 customers so far who requested we send daily alerts when the price drops below their target price. If you're waiting for a better deal, you can also set a price alert to get notified when the price falls below your target. The chart below shows every recorded price change for Artificial Intelligence: Reinforcement Learning in Python over the last year.

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Udemy price history

Artificial Intelligence: Reinforcement Learning in Python

Price History Chart:
In Stock Availability:

Missing or incomplete price history data on certain dates indicates no users were monitoring the items. Udemy price history data was collected by Glass It verified users for: .

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Price History Tracking Summary

Data size:	108 records available
Lowest price:	$74.99
Highest price:	$79.99
Average price:	$76.50
Earliest price alert:	Sat, March 26, 2022
Latest price alert:	Thu, April 30, 2026
Price increases:	2
Price Drops:	1
Price increase alerts:	2
Price Drop Alerts:	106
Back In Stock Alerts:	0
Out of Stock Alerts:	0
Postal Code(s):	nearest store
Product Locale:	US
Product Currency:	US Dollar
Users Tracked Item:	3
Users Tracking Item:	3
Data is based on price change notification settings from Glass It.

Price Trend Analysis

The price for the course "Artificial Intelligence: Reinforcement Learning in Python" on Udemy has shown a consistent trend over the period observed, with a minimum price of $74.99 and a maximum price of $79.99. The average price during this period is $76.50.

There was one significant drop in price to $74.99, which occurred from October 2024 to May 2025. After this period, the price steadily increased to $79.99 by April 2026. Notably, the lowest price of $74.99 was last observed on May 23, 2025.

Two instances of price increases were noted, both occurring after the initial drop in May 2025, reaching the highest price of $79.99 in April 2026. The price remained at $79.99 for most of the observation period post-March 2022.

The price tracking involved 3 users, with no reported stockouts or back-in-stock events. The current price as of the latest update is $79.99.

Is Now a Good Time to Buy?

The current price of the item, "Artificial Intelligence: Reinforcement Learning in Python" on Udemy, is $79.99, which is the highest price observed since the data collection began on March 26, 2022. The lowest price was recorded at $74.99, which was last seen on May 23, 2025.

Given that the current price has been consistently high and has not dropped below this level, it might be a good idea to wait for a potential price drop before making a purchase. Waiting could save you some money if the price goes down in the future.

Considering the number of users tracking the item is low (only 3), there might not be significant demand or supply pressures driving up the price. However, it's also worth noting that the availability status and other factors like seasonal trends could influence prices.

If you feel the need to buy now and are willing to pay the current price, it’s important to weigh this against potential savings from waiting for a possible price drop.