Explore real-world AI applications, learn Deep Learning, and build AI projects using PyTorch, scikit-learn, and NumPy with hands-on, practical experiences.
Duration: 70 hours
Grades: 9-12
Level: Intermediate
About this course
Prepare to journey into the realm of Artificial Intelligence. In this course, you’ll explore the AI applications that shape our society. Dive into a select set of AI algorithms focusing on Deep Learning and get tons of hands-on experience building and training AI models using PyTorch, SciKit, and NumPy. Holistically learn about the AI application development process and build your own AI applications to share with friends and family.
What you'll learn
Identify a range of AI applications both in development and in use today
Discuss the broader societal impact of AI, including its ethical implications
Describe how AI algorithms are built
Build and train AI models using PyTorch, SciKit, and NumPy
How this course is structured
The course is divided into 6 units. Each unit has several lessons and a project. Within each lesson are instructional videos and practice activities. It will take no more than 60 minutes to complete each lesson.
Course Syllabus
Unit 1: The State of Artificial Intelligence Today
Lesson 1: How AI Looks Today
Lesson 2: Making Your First AI Application
Lesson 3: How AI is Used in Real Life
Lesson 4: Different AI Systems
Lesson 5: What AI Is and Is Not
Unit 2: Data: Food for Artificial Intelligence
Lesson 1: Exploratory Data Analysis
Lesson 2: Data Cleaning
Lesson 3: Prediction Expedition Part 1: Fitting a Model to Our Data
Lesson 4: Prediction Expedition Part 2: Evaluating Our Model
Lesson 5: The World of Data
Unit 3: Fantastic World of Neural Networks
Lesson 1: Fantastic World of Neural Networks
Lesson 2: Neural Networks Building Blocks
Lesson 3: Training 1
Lesson 4: Training 2
Lesson 5: Activation Functions and Hidden Layers
Lesson 6: Activation Functions and Hidden Layers: Coding
Unit 4: Computer Vision
Lesson 1: Exploring a Pictionary AI
Lesson 2: Different Methods to Build a Pictionary App using AI
Lesson 3: A Closer Look: Convolutions and Pooling
Lesson 4: Building Apps for Different Computer Vision Tasks
Unit 5: Natural Language Processing
Lesson 1: Building a Text-Based AI Game
Lesson 2: Representing Words
Lesson 3: Case Study on GPT-3
Lesson 4: Building Apps for Different Natural Language Processing Tasks
Unit 6: AI in Practice
Lesson 1: What Happens in the Lifetime of an AI Application?
Lesson 2: How Can Your AI Knowledge Be Useful?
Lesson 3: The World of Open Source Software
Lesson 4: Continuing Your AI Journey
