Automated Machine Learning for Beginners (Google & Apple)

Study AI: Pc Imaginative and prescient, NLP, Tabular Information & construct highly effective fashions for Classification, Regression, and extra!

What you’ll be taught

Grasp Automated Machine Studying with Google Cloud AutoML & Apple Create ML

Practice significant Machine Studying Fashions and not using a single line of code

Deal with issues in Pc Imaginative and prescient, Pure Language Processing and Regression

Determine & Remedy Actual-Life Machine Studying Issues

Construct a Easy AI-Powered App for Android, iOS or each

Ideate your individual Product as a part of your Course Challenge

Description

Start your AI journey with Automated Machine Studying!

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This course focuses on supplying you with the massive image of Synthetic Intelligence: the streamlined course of of making AI machine studying fashions. Go away the mathematical equations and Python coding apart and focus on what actually issues!

Course Structure ensures Greatest Cognitive Studying Outcomes

Richard Shinn, PhD in AI and CEO of AIBrain, is the Chief Architect behind this course. He designed all the course construction to assist learners purchase cognitive expertise; studying by examples first, then studying primarily based on denotational semantics and operational semantics. This two-step method is especially helpful once we cope with the complexity of real-world issues.

Study Palms-On

From day 1, you’ll be taught hands-on expertise. You’ll observe our lab instructors to construct Machine Studying fashions with AutoML. By the tip of the course, it is possible for you to to construct a working AI-powered cell app. Following Richard Feynman’s precept “What I can’t create, I don’t perceive” we educate sensible information from day one.

Deepen your Abilities

To just be sure you will get a deep understanding of all of the matters, you’ll have sensible homework assignments accompanying all labs. Every lab has its personal homework assignments that can assist you deepen the talents discovered through the course.

Acquire a Certificates from a Main AI Firm

Kick-start your profession in AI with an official certificates from a number one AI firm! Upon completion of the course, you may be awarded with a verified certificates of completion.

Full a Time period Challenge: Construct your individual ML Mannequin

As a part of this course, you’ll ideate your individual AI-powered product that leverages Machine Studying. You’ll construct a easy low-fidelity prototype of an AI-powered utility earlier than constructing a customized Machine Studying mannequin with AutoML in your concept.

Get 1-1 Recommendation and Steerage

We now have lab instructors accessible for 1-on-1 help in case you need assistance together with your homework assignments. Attain out to our lab instructors any time in our AI College Neighborhood.

Be a part of the AI College Neighborhood

Use our vivid AISchool Neighborhood and Discord channel to debate together with your friends and leverage the ability of group. Share your questions and solutions with lab instructors and fellow college students.

Consider your Progress

Throughout your journey, you’ll at all times have the chance to judge your progress and understanding of the supplies by quizzes. It will enable you to continually measure your success and assist to test your understanding of core ideas.

Construct your Skilled Community

Keep in contact together with your friends and leverage knowledgeable community of like-minded AI practitioners. In our group, we offer a devoted alumni channel for all profitable graduates of our course.

The course takes you thru 4 fastidiously structured matters.

Subject 1

Introduction to Automated Machine Studying

Learn the way AutoML is reworking the information science recreation by enabling anybody to construct machine studying fashions and not using a single line of code. Familiarize your self with the 5-Step ML Pipeline to unravel any Machine Studying drawback, earlier than constructing your very first AI-powered smartphone utility in half-hour.

Subject 2

Imaginative and prescient AI with Google AutoML & Apple CreateML

AI may help computer systems to interpret and perceive digital photographs. On this phase, you’ll prepare fashions that may precisely find and classify objects.

Subject 3

NLP & Tables with Google AutoML & Apple CreateML

AI may help computer systems perceive textual content and spoken phrases similar to people. Use SNS posts and new articles to coach fashions to categorise emotion and content material.

AI can analyze patterns throughout information with quite a few variables. Use tabular information to foretell home costs.

Subject 4

Deploy AI in an Utility

Simply deploy fashions on to your system and take a look at it in actual world settings.

English

language

Content material

Introduction to the Course

Welcome to the Course

Introduction Video

The AIBrain Neighborhood

Select your Machine Studying Platform

Introduction to Automated Machine Studying

Why Automated Machine Studying?

The 5-Step Machine Studying Pipeline

Time period Challenge Announcement

Imaginative and prescient AI with Google AutoML

Earlier than You Start

Pointers for AutoML Labs

Picture Classification – Introduction

Picture Classification – 5 Step ML Pipeline

Picture Classification – Getting ready Dataset & Practice Mannequin

Picture Classification – Deploy & Take a look at

Picture Classification – Takeaways

Picture Classification – Project

Object Detection – Introduction

Object Detection – 5 Step ML Pipeline

Object Detection – Getting ready Dataset

Object Detection – Practice & Consider

Object Detection – Takeaways

Object Detection – Project

Imaginative and prescient AI – Quiz

Imaginative and prescient AI with Apple Create ML

Earlier than You Start

Picture Classification – Introduction

Picture Classification – 5 Step ML Pipeline

Picture Classification – Getting Began

Picture Classification – Practice & Consider Mannequin

Picture Classification – Takeaways

Picture Classification – Project

Object Detection – Introduction

Object Detection – 5 Step ML Pipeline

Object Detection – Getting Began

Object Detection – Dataset Annotation

Object Detection – Consider Mannequin

Object Detection – Takeaways

Object Detection – Project

Imaginative and prescient AI – Quiz

Pure Language Processing with Google AutoML

Sentiment Evaluation – Introduction

Sentiment Evaluation – 5 Step ML Pipeline

Sentiment Evaluation – Acquiring Dataset & Practice Mannequin

Sentiment Evaluation – Deploy & Consider

Sentiment Evaluation – Takeaways

Sentiment Evaluation – Project

Doc Classification – Introduction

Doc Classification – 5 Step Pipeline

Doc Classification – Practice Mannequin

Doc Classification – Consider & Take a look at Mannequin

Doc Classification – Takeaways

Doc Classification – Project

NLP – Quiz

Pure Language Processing with Create ML

Sentiment Evaluation – Introduction

Sentiment Evaluation – 5 Step Pipeline

Sentiment Evaluation – Getting Began

Sentiment Evaluation – Dataset Preparation

Sentiment Evaluation – Coaching & Analysis

Sentiment Evaluation – Takeaways

Sentiment Evaluation – Project

Doc Classification – Introduction

Doc Classification – 5 Step ML Pipeline

Doc Classification – Getting Began

Doc Classification – Dataset Preparation

Doc Classification – Coaching & Testing

Doc Classification – Takeaways

Doc Classification – Project

NLP – Quiz

Tabular Prediction with Google AutoML

Tabular Prediction – Introduction

Tabular Prediction – The 5-Step ML Pipeline

Tabular Prediction – Practice & Consider

Tabular Prediction – Takeaways

Tabular Prediction – Project

Tabular Prediction – Quiz

Tabular Prediction with CreateML

Tabular Prediction – Introduction

Tabular Prediction – 5-Step ML Pipeline

Tabular Information – Home Worth Prediction

Tabular Prediction – Takeaways

Tabular Prediction – Project

Tabular Prediction – Quiz

Time period Challenge 1: Digital Prototyping

Digital Prototyping with Figma

Why Prototyping?

Getting Began with Figma

Populating your Prototype

Takeaways

Product Thought & Digital Prototype

Deploy AI in Android App

Introduction

The 5-Step Machine Studying Pipeline

Conditions

Set Up Android Studio

Transient Introduction to Android Studio

Deploy ML Mannequin in Pattern Andoid Utility

Takeaways

Introduction

The 5-Step Machine Studying Pipeline

Deploy AI in iOS App

Practice & Consider Mannequin

Discover Xcode

Deploy ML Mannequin in Pattern iOS Utility

Takeaways

Last Time period Challenge Project

Time period Challenge Project

Takeaways & Subsequent Steps

Wrapping Up

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Grasp Automated Machine Studying with Google Cloud AutoML & Apple Create ML

Practice significant Machine Studying Fashions and not using a single line of code

Deal with issues in Pc Imaginative and prescient, Pure Language Processing and Regression

Determine & Remedy Actual-Life Machine Studying Issues

Construct a Easy AI-Powered App for Android, iOS or each