Intro to AutoML for Beginners (Google & Apple)

Intro to AutoML for Beginners (Google & Apple)

AIBrain Inc.

Last Updated on April 22, 2024 by GeeksGod

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

Begin your AI journey with Automated Machine Learning (AutoML)! In this comprehensive course, you will learn about the streamlined process of creating AI machine learning models, with an emphasis on Free Udemy Coupon. We will guide you through the course architecture that guarantees the best cognitive learning outcomes, allowing you to learn by examples and understand the complexity of real-world problems.

Course Architecture for Cognitive Learning

Richard Shinn, PhD in AI and CEO of AIBrain, has designed this course structure to help learners acquire cognitive skills. By following a two-step approach of learning by examples, followed by learning based on denotational semantics and operational semantics, you will gain a deep understanding of AI and machine learning.

Hands-On Learning

This course focuses on practical skills right from day one. You will work on hands-on lab activities with AutoML to build machine learning models. By the end of the course, you will be able to build a working AI-powered mobile app. Our philosophy is based on Richard Feynman’s principle “What I cannot create, I do not understand”, ensuring that you gain practical knowledge throughout the course.

Deepen Your Skills

To ensure that you have a thorough understanding of all topics, each lab activity is accompanied by practical homework assignments. These assignments will help you deepen your skills and apply the knowledge gained during the course.

Verified Certificate from a Leading AI Company

Upon completion of the course, you will receive a verified certificate of completion from a leading AI company. This certificate will kick-start your career in AI and demonstrate your expertise in the field.

Term Project: Build Your Own ML Model

As part of this course, you will have the opportunity to ideate and build your own AI-powered product that leverages machine learning. You will start by building a simple low-fidelity prototype of your idea, before using AutoML to develop a custom machine learning model for your product.

1-on-1 Advice and Guidance

In case you need assistance with your homework assignments, our lab instructors are available for 1-on-1 support. You can reach out to them anytime through our AI School Community or Discord channel.

Join the AI School Community

Participation in our vibrant AI School Community and Discord channel will allow you to engage with your peers and leverage the power of the community. You can discuss your questions and answers with lab instructors and fellow students, enhancing your learning experience.

Evaluate Your Progress

To constantly measure your success and understanding of the materials, quizzes will be provided throughout your AI journey. These quizzes will help you evaluate your progress and consolidate your understanding of core concepts.

Build Your Professional Network

Upon completing the course, you will have the opportunity to stay in touch with your peers and leverage a professional network of like-minded AI practitioners. Our community includes a dedicated alumni channel for all successful graduates of our course.

The course is divided into four carefully structured topics:

Topic 1: Introduction to Automated Machine Learning

In this section, you will learn about the transformative power of AutoML in the data science field. Discover how AutoML allows anyone to build machine learning models without writing a single line of code. Familiarize yourself with the 5-Step ML Pipeline, and culminate your learning experience by building your very first AI-powered smartphone application in just 30 minutes.

Topic 2: Vision AI with Google AutoML & Apple CreateML

Unleash the power of AI in interpreting and understanding digital images. In this topic, you will train models that can accurately locate and classify objects, using Google AutoML and Apple CreateML.

Topic 3: NLP & Tables with Google AutoML & Apple CreateML

AI has the ability to understand text and spoken words, just like humans. This section will guide you in training models to classify emotions and content using social media posts and news articles. Additionally, you will learn how AI can analyze patterns in tabular data to predict house prices.

Topic 4: Deploy AI in an Application

In the final topic, you will learn how to easily deploy your machine learning models onto your devices and test them in real-world settings. Put your learned skills into practice and witness the impact of AI in real-life applications.

By enrolling in this comprehensive course, you will gain a deep understanding of AutoML, acquire practical hands-on skills, deepen your knowledge through homework assignments and quizzes, and build a strong professional network in the AI community. Don’t miss this opportunity to accelerate your AI journey!

Remember to use the Free Udemy Coupon code to access this course at no cost!

Udemy Coupon :


What you will learn :

1. Master Automated Machine Learning with Google Cloud AutoML \u0026 Apple Create ML
2. Train meaningful Machine Learning Models without a single line of code
3. Tackle problems in Computer Vision, Natural Language Processing and Regression
4. Identify \u0026 Solve Real-Life Machine Learning Problems
5. Build a Simple AI-Powered App for Android, iOS or both
6. Ideate your own Product as part of your Course Project

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