Automated Machine Learning for Beginners (Google & Apple)

Automated Machine Learning for Beginners (Google & Apple)

Automated Machine Learning for Beginners (Google & Apple)

Learn AI: Computer Vision, NLP, Tabular Data – build powerful models with Google AutoML & Apple CreateML

Language: english

Note: 4.6/5 (48 notes) 14,052 students

Instructor(s): AIBrain Inc.

Last update: 2022-06-07

What you’ll 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

 

Requirements

  • No prerequisites whatsoever: this course is ideal for beginners
  • Access to a computer with internet connection

 

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.


 

Who this course is for

  • Beginners without any background in programming or computer science
  • Anyone who wants to automate the Machine Learning process
  • Students who want to start a career in Artificial Intelligence and Machine Learning
  • Professionals who want to learn how to apply Machine Learning in their respective jobs
  • Anyone beginning their journey in Machine Learning

 

Course 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 – 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

 

Automated Machine Learning for Beginners (Google & Apple)Automated Machine Learning for Beginners (Google & Apple)

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