33 FREE Google Courses to Master a Career in 2025

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Google has launched 33 courses with free certificates. No payment is required! Here are the top courses:

1. Google JavaScript Promises Courses

πŸ”— https://lnkd.in/dBaj-WPz

2. Google Developing Android Apps

πŸ”— https://lnkd.in/dAg_ighq

3. UX Design for Mobile Developers

πŸ”— https://lnkd.in/dJRxRbsn

4. Max MSP Programming Course

πŸ”— https://lnkd.in/dX5cwVKT

5. Machine Learning Specialization

πŸ”— https://lnkd.in/d5S2bs3X

6. to Data Science with Python

πŸ”— https://lnkd.in/dVBHxEPG

7. CS50’s to Artificial Intelligence with Python

πŸ”— https://lnkd.in/dH_WEi8Y

8. CS50’s Web Programming with Python and JavaScript

πŸ”— https://lnkd.in/dkFdD-5M

9. Circuits and Electronics 1

πŸ”— https://lnkd.in/dv7PmnPS

10. Supply Chain Analytics

πŸ”— https://lnkd.in/dVkRzhPw

You Should Know:

Here are some practical commands and codes related to the courses:

Python for Data Science

import pandas as pd
data = pd.read_csv('data.csv')
print(data.head())

JavaScript Promises

[javascript]
let promise = new Promise((resolve, reject) => {
let success = true;
if (success) {
resolve(“Promise fulfilled!”);
} else {
reject(“Promise rejected!”);
}
});

promise.then((message) => {
console.log(message);
}).catch((error) => {
console.log(error);
});
[/javascript]

Linux Commands for Developers


<h1>Check system information</h1>

uname -a

<h1>List running processes</h1>

ps aux

<h1>Search for a file</h1>

find / -name "filename"

<h1>Monitor network traffic</h1>

sudo tcpdump -i eth0

Android Development


<h1>Build an APK</h1>

./gradlew assembleDebug

<h1>Install APK on a connected device</h1>

adb install app-debug.apk

<h1>Logcat for debugging</h1>

adb logcat

Machine Learning

from sklearn.model_selection import train_test_split
from sklearn.linear_model import LinearRegression

<h1>Load dataset</h1>

X, y = load_dataset()

<h1>Split data</h1>

X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2)

<h1>Train model</h1>

model = LinearRegression()
model.fit(X_train, y_train)

<h1>Predict</h1>

predictions = model.predict(X_test)

What Undercode Say:

These courses are a goldmine for anyone looking to upskill in tech. Whether you’re diving into Python for Data Science, exploring JavaScript Promises, or mastering Machine Learning, these free resources are invaluable. Pair them with practical commands like Linux system monitoring (tcpdump, ps aux) or Android development tools (adb, gradlew) to solidify your learning. Don’t forget to experiment with Python libraries like `pandas` and `scikit-learn` for hands-on experience. Happy learning! πŸš€

References:

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