Automated Machine Learning for Beginners (Google & Apple)

Introduction

Are you eager to dive into the world of artificial intelligence but intimidated by complex coding and mathematical equations? The "Automated Machine Learning for Beginners" course, offered by Google and Apple, might be just what you need. This course demystifies AI by focusing on automated machine learning (AutoML) tools, allowing you to create powerful AI models without writing a single line of code. Whether you're interested in developing AI-powered apps or simply want to understand how AI works, this course provides a comprehensive introduction to the field, promising practical skills and a solid foundation in AI technology.

Course Details

Course Curriculum Overview

The course is structured around four main topics, each designed to build your knowledge and skills progressively:

Introduction to Automated Machine Learning: Understand the basics of AutoML and how it revolutionizes data science. You'll learn the 5-step ML pipeline and build your first AI-powered smartphone app in just 30 minutes.
Vision AI with Google AutoML & Apple Create ML: Delve into computer vision and train models to identify and classify objects in images.
NLP & Tables with Google AutoML & Apple Create ML: Explore natural language processing (NLP) and tabular data analysis, using real-world data to train models for sentiment analysis and regression tasks.
Deploy AI in an Application: Learn how to deploy your trained models onto devices and test them in real-world scenarios.

Key Learning Outcomes

By the end of the course, you will be able to:

Master the use of Google Cloud AutoML and Apple Create ML to create machine learning models.
Apply AI to solve real-life problems in computer vision, NLP, and regression without coding.
Build and deploy a simple AI-powered app for Android, iOS, or both.
Develop a low-fidelity prototype of an AI-powered application as part of your course project.

Target Audience and Prerequisites

This course is ideal for beginners with no prior experience in AI or coding. The only requirement is access to a computer with an internet connection, making it accessible to a wide audience eager to explore AI.

Course Duration and Format

The course includes 3 hours of on-demand video, supplemented by 58 articles and 29 downloadable resources. It is designed to be completed at your own pace, with assignments and quizzes to reinforce your learning.

Instructor Background

The course is crafted by Richard Shinn, PhD in AI and CEO of AIBrain Inc., a leading AI company. Dr. Shinn's expertise in AI education ensures a curriculum that is both comprehensive and tailored for cognitive learning outcomes.

Benefits & Applications

Practical Skills Gained

Participants will acquire hands-on skills in using AutoML tools to create and deploy machine learning models. The course emphasizes practical learning through labs and homework assignments, ensuring you can apply what you learn immediately.

Real-World Applications

The skills you gain are directly applicable to various industries, including healthcare, finance, and technology. For instance, you could use vision AI to improve medical imaging analysis or deploy NLP models to enhance customer service chatbots.

Career Relevance

With AI becoming integral to many sectors, the ability to understand and implement AI solutions is increasingly valuable. Completing this course can open doors to roles in AI development, data analysis, and more, enhancing your career prospects.

Industry Alignment

The course aligns with the growing trend of using AutoML to democratize AI, making it relevant to current industry practices. Companies are increasingly seeking professionals who can leverage these tools to drive innovation.

Standout Features

Unique Course Elements

The course's two-step learning approach, focusing first on examples and then on semantics, sets it apart. This method is particularly effective for understanding complex AI concepts.

Learning Materials and Resources

In addition to video lectures, the course offers a wealth of articles and downloadable resources. These materials support diverse learning styles and provide ample opportunities for deeper exploration of topics.

Support Features

One-on-one assistance from lab instructors and access to the AISchool Community and Discord channel ensure you have the support you need throughout your learning journey.

Course Updates Policy

The course content is regularly updated to reflect the latest developments in AutoML and AI, ensuring that you are learning the most current and relevant information.

Student Success

Learning Outcomes

Students consistently report gaining a strong foundational understanding of AI and AutoML, with many able to apply their skills to real-world projects immediately after completing the course.

Student Achievements

Many graduates have gone on to build their own AI-powered applications or secure positions in AI-related fields, showcasing the practical impact of the skills learned.

Course Completion Insights

The course boasts a high completion rate, thanks to its engaging format and supportive learning environment. Students appreciate the clear structure and the ability to learn at their own pace.

Conclusion

If you're a beginner looking to break into AI, "Automated Machine Learning for Beginners" is an excellent starting point. Enroll today and take the first step towards mastering AI with AutoML.