Learn AI: Computer Vision, NLP, Tabular Data - build powerful models with Google AutoML & Apple CreateML
WHAT YOU WILL LEARN
- Master Automated Machine Learning with Google Cloud AutoML & Apple Create ML
- Train meaningful Machine Learning Models without a single line of code
- Tackle problems in Computer Vision, Natural Language Processing, and Regression
- Identify & Solve Real-Life Machine Learning Problems
- Build a Simple AI-Powered App for Android, iOS or both
- Ideate your own Product as part of your Course Project
DESCRIPTION
Embark on your AI journey with Automated Machine Learning!
This course is designed to provide you with a comprehensive understanding of Artificial Intelligence, focusing on the streamlined process of creating AI machine learning models. Leave the mathematical equations and Python coding aside and concentrate on what truly matters!
The course is architectured to ensure optimal cognitive learning outcomes. Developed by Richard Shinn, PhD in AI and CEO of AIBrain, the course structure is designed to help learners acquire cognitive skills through practical examples followed by learning based on denotational semantics and operational semantics. This two-step approach is particularly useful when dealing with the complexity of real-world problems.
Hands-On Learning:
From day one, you will learn practical skills. Follow our lab instructors to build Machine Learning models with AutoML. By the course's end, you will be capable of building a working AI-powered mobile app. We adhere to Richard Feynman’s principle “What I cannot create, I do not understand”, ensuring practical knowledge from the beginning.
Deepen your Skills:
Practical homework assignments accompany all labs to ensure a deep understanding of all topics. Each lab includes its own homework assignments to help you solidify the skills learned during the course.
Gain a Certificate from a Leading AI Company:
Upon completion of the course, you will receive a verified certificate of completion, kick-starting your career in AI.
Complete a Term Project: Build your own ML Model:
As part of this course, you will ideate your own AI-powered product leveraging Machine Learning. You will build a simple low-fidelity prototype of an AI-powered application before constructing a custom Machine Learning model with AutoML for your idea.
Get 1-1 Advice and Guidance:
Lab instructors are available for 1-on-1 assistance if you need help with homework assignments.
Join the AI School Community:
Engage with our vibrant AI School Community and Discord channel to discuss with peers, share questions and answers with lab instructors and fellow students.
Evaluate your Progress:
Constantly measure your success and check your understanding of core concepts through quizzes.
Build your Professional Network:
Stay connected with peers and access a professional network of like-minded AI practitioners.
The course covers 4 carefully structured topics:
Topic 1: Introduction to Automated Machine Learning
- Understand how AutoML transforms the data science game.
- Learn the 5-Step ML Pipeline to solve any Machine Learning problem.
- Build your first AI-powered smartphone application in 30 minutes.
Topic 2: Vision AI with Google AutoML & Apple CreateML
- Train models for accurate object location and classification.
Topic 3: NLP & Tables with Google AutoML & Apple CreateML
- Train models to understand text and spoken words.
- Predict house prices using tabular data.
Topic 4: Deploy AI in an Application
- Easily deploy models onto your device and test them in real-world settings.
CONTENT
Introduction to the Course
- Welcome to the Course
- Introduction Video
- The AIBrain Community
- Choose your Machine Learning Platform
Introduction to Automated Machine Learning
- Why Automated Machine Learning?
- The 5-Step Machine Learning Pipeline
- Term Project Announcement
Vision AI with Google AutoML
- Before You Begin
- Guidelines for AutoML Labs
- Image Classification - Introduction
- Image Classification - 5 Step ML Pipeline
- Image Classification - Preparing Dataset & Train Model
- Image Classification - Deploy & Test
- Image Classification - Takeaways
- Image Classification - Assignment
- Object Detection - Introduction
- Object Detection - 5 Step ML Pipeline
- Object Detection - Preparing Dataset
- Object Detection - Train & Evaluate
- Object Detection - Takeaways
- Object Detection - Assignment
- Vision AI - Quiz
Vision AI with Apple Create ML
- Before You Begin
- Image Classification - Introduction
- Image Classification - 5 Step ML Pipeline
- Image Classification - Getting Started
- Image Classification - Train & Evaluate Model
- Image Classification - Takeaways
- Image Classification - Assignment
- Object Detection - Introduction
- Object Detection - 5 Step ML Pipeline
- Object Detection - Getting Started
- Object Detection - Dataset Annotation
- Object Detection - Evaluate Model
- Object Detection - Takeaways
- Object Detection - Assignment
- Vision AI - Quiz
Natural Language Processing with Google AutoML
- Sentiment Analysis - Introduction
- Sentiment Analysis - 5 Step ML Pipeline
- Sentiment Analysis - Obtaining Dataset & Train Model
- Sentiment Analysis - Deploy & Evaluate
- Sentiment Analysis - Takeaways
- Sentiment Analysis - Assignment
- Document Classification - Introduction
- Document Classification - 5 Step Pipeline
- Document Classification - Train Model
- Document Classification - Evaluate & Test Model
- Document Classification - Takeaways
- Document Classification - Assignment
- NLP - Quiz
Natural Language Processing with Create ML
- Sentiment Analysis - Introduction
- Sentiment Analysis - 5 Step Pipeline
- Sentiment Analysis - Getting Started
- Sentiment Analysis - Dataset Preparation
- Sentiment Analysis - Training & Evaluation
- Sentiment Analysis - Takeaways
- Sentiment Analysis - Assignment
- Document Classification - Introduction
- Document Classification - 5 Step ML Pipeline
- Document Classification - Getting Started
- Document Classification - Dataset Preparation
- Document Classification - Training & Testing
- Document Classification - Takeaways
- Document Classification - Assignment
- NLP - Quiz
Tabular Prediction with Google AutoML
- Tabular Prediction - Introduction
- Tabular Prediction - The 5-Step ML Pipeline
- Tabular Prediction - Train & Evaluate
- Tabular Prediction - Takeaways
- Tabular Prediction - Assignment
- Tabular Prediction - Quiz
Tabular Prediction with CreateML
- Tabular Prediction - Introduction
- Tabular Prediction - 5-Step ML Pipeline
- Tabular Data - House Price Prediction
- Tabular Prediction - Takeaways
- Tabular Prediction - Assignment
- Tabular Prediction - Quiz
Term Project 1: Digital Prototyping
- Digital Prototyping with Figma
- Why Prototyping?
- Getting Started with Figma
- Populating your Prototype
- Takeaways
- Product Idea & Digital Prototype
Deploy AI in Android App
- The 5-Step Machine Learning Pipeline
- Prerequisites
- Set Up Android Studio
- Brief Introduction to Android Studio
- Deploy ML Model in Sample Android Application
- Takeaways
Deploy AI in iOS App
- Introduction
- The 5-Step Machine Learning Pipeline
- Train & Evaluate Model
- Explore Xcode
- Deploy ML Model in Sample iOS Application
- Takeaways
Final Term Project Assignment
- Term Project Assignment
- Takeaways & Next Steps
- Wrapping Up
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