Automated Machine Learning for Beginners (Google & Apple)

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About Course

Automated Machine Learning for Beginners (Google & Apple)

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


Description: Welcome to the world of Automated Machine Learning (AutoML), where you can embark on your journey into Artificial Intelligence without the need for extensive coding or math background. This course is designed to empower beginners with the knowledge and skills needed to master AutoML and create meaningful machine learning models for real-world applications using Google Cloud AutoML and Apple Create ML.

No prerequisites are required for this course, making it an ideal starting point for those new to programming or computer science.

Course Highlights:

  • Course Architecture: Crafted by Dr. Richard Shinn, a Ph.D. holder in AI and CEO of AIBrain, this course focuses on cognitive learning outcomes. You’ll start with hands-on examples, followed by a deeper understanding of concepts, providing you with a strong foundation in AI.
  • Learn Hands-On: From day one, you’ll engage in practical learning. Guided by lab instructors, you’ll build machine learning models with AutoML. By the end of the course, you’ll create a functional AI-powered mobile app.
  • Deepen Your Skills: Each lab comes with practical homework assignments, allowing you to reinforce your skills. These assignments will help you delve deeper into the concepts learned during the course.
  • Verified Certificate: Upon course completion, you will receive a verified certificate of completion, setting you on the path to kick-start your AI career.
  • Term Project: You will have the opportunity to ideate and build your own AI-powered product that leverages machine learning. You’ll create a low-fidelity prototype of your application before building a custom machine learning model with AutoML.
  • 1-1 Guidance: Lab instructors are available for one-on-one assistance to address any queries or challenges you face during your assignments.
  • AI School Community: Engage with your peers through the AI School Community and Discord channel. Share questions and insights with lab instructors and fellow students.
  • Progress Evaluation: Quizzes will help you gauge your progress and understanding of course materials, ensuring you stay on track.
  • Professional Network: Build a network of like-minded AI practitioners through the alumni channel, connecting with successful course graduates.

Course Structure:

Topic 1: Introduction to Automated Machine Learning

  • Explore the transformative power of AutoML, allowing you to build machine learning models effortlessly.
  • Learn the 5-Step ML Pipeline to tackle any machine learning problem.
  • Develop your first AI-powered mobile app in just 30 minutes.

Topic 2: Vision AI with Google AutoML & Apple CreateML

  • Train models to accurately identify and classify objects within digital images.

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

  • Understand how AI can interpret text and spoken words.
  • Use natural language processing to classify emotions and content from social media posts and news articles.
  • Utilize tabular data to predict house prices.

Topic 4: Deploy AI in an Application

  • Effortlessly deploy your trained models on your device and test them in real-world scenarios.

Who Should Take This Course: This course is designed for:

  • Beginners with no programming or computer science background.
  • Aspiring individuals who want to automate the machine learning process.
  • Students interested in starting a career in Artificial Intelligence and Machine Learning.
  • Professionals looking to apply machine learning in their respective job roles.
  • Anyone embarking on their journey into Machine Learning.

Instructor: AIBrain Inc. – The most innovative AI program for beginners.



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What Will You 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

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