Agentic AI: Complete Course
3 / 67 lessons complete
Module 01 — Prerequisites
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Introduction to the course
3:20 · FREE
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Python for AI: variables, loops, functions
22:10 · FREE
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Mathematics you actually need
24:30
Module 02 — Machine Learning
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What is machine learning, really
15:20 · FREE
▶
Linear regression from scratch
28:40
Module 03 — Deep Learning
▶
Neural networks from scratch in numpy
32:10 · FREE
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Introduction to the course
What you will build by the end of this course. See the complete journey from zero to production agents.
Lesson exercise
Exercise: Write a Python function that calculates the mean and standard deviation of a list — using only sum() and len(). No libraries. 
def stats(numbers):
    # Step 1: calculate mean
    mean = ?

    # Step 2: calculate variance
    variance = ?

    # Step 3: std = square root of variance
    std = ?

    return mean, std

# Test:
print(stats([2, 4, 4, 4, 5, 5, 7, 9]))
# Expected: mean = 5.0, std = 2.0
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