Master AI: Automated Machine Learning for Beginners (Google & Apple)

What you will learn:

Master the art of building AI models with Google Cloud AutoML and Apple CreateML.
Create powerful AI models without writing a single line of code.
Tackle real-world AI problems in Computer Vision, Natural Language Processing, and Regression.
Develop the skills to solve complex machine learning problems.
Build your own AI-powered mobile applications for Android, iOS, or both.
Design and prototype your own AI product as part of the course project.

Description

Unlock the power of AI without coding! Dive into our beginner-friendly course on Automated Machine Learning, using Google AutoML and Apple CreateML.

Learn how to build powerful AI models for Computer Vision, Natural Language Processing, and Tabular Data with ease. This course takes you on a comprehensive journey, covering the core concepts and practical applications of AI, guiding you through the creation of real-world AI projects.

Key features include:

Hands-on learning: Build AI models from day 1 using AutoML and CreateML.
Practical projects: Gain real-world experience by creating AI-powered mobile apps and ideating your own AI product.
Comprehensive curriculum: Explore all aspects of AI, including Computer Vision, NLP, and Tabular Data.
Expert guidance: Learn from Richard Shinn, PhD in AI and CEO of AIBrain, and our team of lab instructors.
Community support: Connect with fellow learners and get personalized feedback from instructors.
Verified certificate: Gain an official certificate of completion from a leading AI company.

Join our vibrant AI community and embark on your AI journey today!

Curriculum

Introduction to the Course

Welcome to the exciting world of Automated Machine Learning! This section sets the stage by introducing you to the course objectives, the supportive AIBrain community, and the different machine learning platforms you'll explore – Google AutoML and Apple CreateML. You'll also learn how to navigate the course structure and resources.

Introduction to Automated Machine Learning

Delve into the fundamental concepts of Automated Machine Learning. Discover why AutoML is revolutionizing the field of data science, allowing anyone to build AI models without coding expertise. You'll grasp the core principles of the 5-Step Machine Learning Pipeline, a framework that underpins all AI development. The section concludes with an exciting announcement about the course's term project, a real-world AI project you'll be building from scratch.

Vision AI with Google AutoML

Step into the world of Vision AI with Google AutoML. This section equips you with the tools and techniques to train AI models that can interpret and understand digital images. You'll dive into image classification and object detection, learning to build models that accurately identify and classify objects within images. Hands-on labs will guide you through each step of the process, from preparing datasets to deploying and testing your models. Each lab is accompanied by a homework assignment to reinforce your understanding and refine your skills.

Vision AI with Apple Create ML

Discover the power of Apple's Create ML platform for Vision AI. This section mirrors the previous section, covering image classification and object detection, but using Create ML's unique capabilities. You'll experience firsthand how Apple's framework empowers you to build AI models tailored for iOS devices. Labs and assignments will deepen your knowledge of Create ML's specific features and allow you to apply your skills in practical scenarios.

Natural Language Processing with Google AutoML

Embark on a journey into Natural Language Processing (NLP) using Google AutoML. This section explores how AI can understand and process human language, including sentiment analysis and document classification. You'll train models to decipher emotions expressed in text and categorize documents based on their content. Hands-on labs will guide you through the process of using AutoML for NLP, from dataset preparation to model deployment and evaluation. Interactive quizzes test your understanding of key concepts throughout the section.

Natural Language Processing with Create ML

Delve into the world of Natural Language Processing with Apple's Create ML. This section complements the Google AutoML NLP section by providing a Create ML perspective on sentiment analysis and document classification. You'll learn to leverage Create ML's capabilities to develop AI models that can interpret and analyze text data. Labs and quizzes will reinforce your understanding and enable you to confidently apply NLP techniques using both AutoML and Create ML platforms.

Tabular Prediction with Google AutoML

Master the art of tabular prediction using Google AutoML. This section delves into how AI can analyze data with numerous variables, uncovering hidden patterns and making predictions based on historical data. You'll learn to predict outcomes like house prices by leveraging AutoML's ability to extract insights from structured data. Labs and quizzes will solidify your understanding of this powerful AI technique and prepare you for real-world applications.

Tabular Prediction with Create ML

Unlock the potential of Create ML for tabular prediction. This section provides a Create ML perspective on the techniques covered in the Google AutoML section, allowing you to work with structured data and build predictive models using Apple's platform. You'll gain practical experience through labs and assignments, deepening your understanding of both AutoML and Create ML for tabular data analysis.

Term Project 1: Digital Prototyping

Transform your ideas into reality with digital prototyping. This section introduces you to Figma, a powerful design tool that empowers you to create interactive prototypes of your AI-powered applications. You'll learn how to design user interfaces, create interactive elements, and bring your AI product ideas to life. By the end of this section, you'll have a digital prototype that showcases your vision and lays the foundation for your final term project.

Deploy AI in Android App

Bring your AI models to life by deploying them into Android applications. This section guides you through the process of integrating your trained AI models into a real-world Android app. You'll learn to use Android Studio, a development environment for Android apps, and gain practical experience in deploying AI models for diverse applications. This section lays the foundation for building your own AI-powered Android app.

Deploy AI in iOS App

Extend your reach by deploying your AI models into iOS applications. This section delves into the world of iOS development, empowering you to create AI-powered iOS apps. You'll explore Xcode, the development environment for iOS apps, and gain hands-on experience in deploying AI models for iOS devices. This section provides the tools and knowledge to create your own AI-powered iOS app.

Final Term Project Assignment

Put your skills to the test! This section presents the final term project assignment, a culmination of all the knowledge and skills you've gained throughout the course. You'll have the opportunity to design and build your own AI-powered product, combining your creativity with your newfound AI expertise. This project will showcase your ability to apply AI principles to solve real-world problems and demonstrate your mastery of Automated Machine Learning.

Takeaways & Next Steps

Reflect on your journey and prepare for the future. This section summarizes the key takeaways from the course, highlighting your newfound skills in Automated Machine Learning. You'll also gain insights into potential next steps in your AI journey, exploring further learning opportunities and potential career paths in the field.

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