Learn AI: Computer Vision, NLP, Tabular Data & build powerful models for Classification, Regression, and more!
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
Begin your AI journey with Automated Machine Learning!
This course focuses on giving you the big picture of Artificial Intelligence: the streamlined process of creating AI machine learning models. Leave the mathematical equations and Python coding aside and concentrate on what really matters!
Course Architecture guarantees Best Cognitive Learning Outcomes
Richard Shinn, PhD in AI and CEO of AIBrain, is the Chief Architect behind this course. He designed the entire course structure to help learners acquire cognitive skills; learning by examples first, then learning based on denotational semantics and operational semantics.
This two-step approach is particularly useful when we deal with the complexity of real-world problems.
Learn Hands-On
From day 1, you will learn hands-on skills. You will follow our lab instructors to build Machine Learning models with AutoML. By the end of the course, you will be able to build a working AI-powered mobile app. Following Richard Feynman’s principle “What I cannot create, I do not understand” we teach practical knowledge from day one.
Deepen your Skills
To make sure that you will get a deep understanding of all the topics, you will have practical homework assignments accompanying all labs. Each lab has its own homework assignments to help you deepen the skills learned during the course.
Gain a Certificate from a Leading AI Company
Kick-start your career in AI with an official certificate from a leading AI company! Upon completion of the course, you will be awarded with a verified certificate of completion.
Complete a Term Project: Build your own ML Model
As part of this course, you will ideate your own AI-powered product that leverages Machine Learning. You will build a simple low-fidelity prototype of an AI-powered application before building a custom Machine Learning model with AutoML for your idea.
Get 1-1 Advice and Guidance
We have lab instructors available for 1-on-1 assistance in case you need help with your homework assignments. Reach out to our lab instructors any time in our AI School Community.
Join the AI School Community
Use our vivid AISchool Community and Discord channel to discuss with your peers and leverage the power of community. Share your questions and answers with lab instructors and fellow students.
Evaluate your Progress
During your journey, you will always have the possibility to evaluate your progress and understanding of the materials through quizzes. This will help you to constantly measure your success and help to check your understanding of core concepts.
Build your Professional Network
Stay in touch with your peers and leverage a professional network of like-minded AI practitioners. In our community, we provide a dedicated alumni channel for all successful graduates of our course.
The course takes you through 4 carefully structured topics.
Topic 1
Introduction to Automated Machine Learning
Find out how AutoML is transforming the data science game by enabling anyone to build machine learning models without a single line of code. Familiarize yourself with the 5-Step ML Pipeline to solve any Machine Learning problem, before building your very first AI-powered smartphone application in 30 minutes.
Topic 2
Vision AI with Google AutoML & Apple CreateML
AI can help computers to interpret and understand digital images. In this segment, you will train models that can accurately locate and classify objects.
Topic 3
NLP & Tables with Google AutoML & Apple CreateML
AI can help computers understand text and spoken words just like humans. Use SNS posts and new articles to train models to classify emotion and content.
AI can analyze patterns across data with numerous variables. Use tabular data to predict house prices.
Topic 4
Deploy AI in an Application
Easily deploy models on to your device and test it in real world settings.
English
language
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
Introduction
The 5-Step Machine Learning Pipeline
Prerequisites
Set Up Android Studio
Brief Introduction to Android Studio
Deploy ML Model in Sample Andoid Application
Takeaways
Introduction
The 5-Step Machine Learning Pipeline
Deploy AI in iOS App
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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