4.35 out of 5
4.35
124 reviews on Udemy

Automated Machine Learning for Beginners (Google & Apple)

Learn AI: Computer Vision, NLP, Tabular Data - build powerful models with Google AutoML & Apple CreateML
Instructor:
AIBrain Inc.
32,306 students enrolled
English
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

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.

Introduction to the Course

1
Welcome to the Course
2
Introduction Video
3
The AIBrain Community
4
Choose your Machine Learning Platform

Introduction to Automated Machine Learning

1
Why Automated Machine Learning?
2
The 5-Step Machine Learning Pipeline
3
Term Project Announcement

Vision AI with Google AutoML

1
Before You Begin
2
Guidelines for AutoML Labs
3
Image Classification - Introduction
4
Image Classification - 5 Step ML Pipeline
5
Image Classification - Preparing Dataset & Train Model
6
Image Classification - Deploy & Test
7
Image Classification - Takeaways
8
Image Classification - Assignment
9
Object Detection - Introduction
10
Object Detection - 5 Step ML Pipeline
11
Object Detection - Preparing Dataset
12
Object Detection - Train & Evaluate
13
Object Detection - Takeaways
14
Object Detection - Assignment
15
Vision AI - Quiz

Complete this quiz to check your understanding of Computer Vision with Cloud AutoML!

Vision AI with Apple Create ML

1
Before You Begin
2
Image Classification - Introduction
3
Image Classification - 5 Step ML Pipeline
4
Image Classification - Getting Started
5
Image Classification - Train & Evaluate Model
6
Image Classification - Takeaways
7
Image Classification - Assignment
8
Object Detection - Introduction
9
Object Detection - 5 Step ML Pipeline
10
Object Detection - Getting Started
11
Object Detection - Dataset Annotation
12
Object Detection - Evaluate Model
13
Object Detection - Takeaways
14
Object Detection - Assignment
15
Vision AI - Quiz

Complete this quiz to check your understanding of Computer Vision with Create ML!

Natural Language Processing with Google AutoML

1
Sentiment Analysis - Introduction
2
Sentiment Analysis - 5 Step ML Pipeline
3
Sentiment Analysis - Obtaining Dataset & Train Model
4
Sentiment Analysis - Deploy & Evaluate
5
Sentiment Analysis - Takeaways
6
Sentiment Analysis - Assignment
7
Document Classification - Introduction
8
Document Classification - 5 Step Pipeline
9
Document Classification - Train Model
10
Document Classification - Evaluate & Test Model
11
Document Classification - Takeaways
12
Document Classification - Assignment
13
NLP - Quiz

Natural Language Processing with Create ML

1
Sentiment Analysis - Introduction
2
Sentiment Analysis - 5 Step Pipeline
3
Sentiment Analysis - Getting Started
4
Sentiment Analysis - Dataset Preparation
5
Sentiment Analysis - Training & Evaluation
6
Sentiment Analysis - Takeaways
7
Sentiment Analysis - Assignment
8
Document Classification - Introduction
9
Document Classification - 5 Step ML Pipeline
10
Document Classification - Getting Started
11
Document Classification - Dataset Preparation
12
Document Classification - Training & Testing
13
Document Classification - Takeaways
14
Document Classification - Assignment
15
NLP - Quiz

Tabular Prediction with Google AutoML

1
Tabular Prediction - Introduction
2
Tabular Prediction - The 5-Step ML Pipeline
3
Tabular Prediction - Train & Evaluate
4
Tabular Prediction - Takeaways
5
Tabular Prediction - Assignment
6
Tabular Prediction - Quiz

Complete this quiz to check your understanding of Tabular Prediction with AutoML!

Tabular Prediction with CreateML

1
Tabular Prediction - Introduction
2
Tabular Prediction - 5-Step ML Pipeline
3
Tabular Data - House Price Prediction
4
Tabular Prediction - Takeaways
5
Tabular Prediction - Assignment
6
Tabular Prediction - Assignment
7
Tabular Prediction - Quiz

Complete this quiz to check your understanding of Tabular Prediction with CreateML!

Term Project 1: Digital Prototyping

1
Digital Prototyping with Figma
2
Why Prototyping?
3
Getting Started with Figma
4
Populating your Prototype
5
Takeaways
6
Product Idea & Digital Prototype

Deploy AI in Android App

1
Introduction
2
The 5-Step Machine Learning Pipeline
3
Prerequisites
4
Set Up Android Studio
5
Brief Introduction to Android Studio
6
Deploy ML Model in Sample Andoid Application
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3 hours on-demand video
58 articles
Full lifetime access
Access on mobile and TV
Certificate of Completion

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