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IT: Programming & Software Development
Applied Data, AI, and Robotics
Curriculum
1 Section
34 Lessons
30 hours
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Unit 3 — Applied Data, AI, and Robotics
34
1.1
Being Specific about Exceptions
20 mins
1.2
Reading a File’s Contents
20 mins
1.3
Loading Data from JSON Files
20 mins
1.4
Importing Python Modules
20 mins
1.5
Building a Python Neural Network in TensorFlow
20 mins
1.6
Visualizing with Matplotlib
20 mins
1.7
Discovering Ways to Do AI in the Cloud
20 mins
1.8
Reading the Medicare Big Data
20 mins
1.9
Building Projects That Move and Sense the Environment
20 mins
1.10
Connecting with Grove Cables
20 mins
1.11
lWhere to Go from Here
20 mins
1.12
Running a Servo Motor
20 mins
1.13
Understanding the Main Parts of a Robot
20 mins
1.14
Testing Your Robot
20 mins
1.15
Functions of the RobotInterface Class
20 mins
1.16
Machine Learning Using TensorFlow
20 mins
1.17
Using Jupyter Notebook for Coding
20 mins
1.18
Writing Code in a Jupyter Notebook
20 mins
1.19
Using Python Modules
20 mins
1.20
Working with Python Operators
20 mins
1.21
Grappling with Weirder Numbers
20 mins
1.22
Looping with while
20 mins
1.23
Dictionary Methods
20 mins
1.24
Returning Values from Functions
20 mins
1.25
Giving an Object Its Attributes
20 mins
1.26
Keeping Your App from Crashing
20 mins
1.27
Looping through a File
20 mins
1.28
Dumping Python Data to JSON
20 mins
1.29
Making Your Own Modules
20 mins
1.30
Learning More Machine Learning
20 mins
1.31
AI on a Graphics Card
20 mins
1.32
Looking for the Most Polluted City in the World on an Hourly Basis
20 mins
1.33
Sensing the Environment with the Raspberry Pi
20 mins
1.34
Making a Stepper Motor Step
20 mins
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