Automated Machine Learning for Beginners (Google & Apple)

Automated Machine Learning: Your Path to AI Mastery

Kickstart your AI career with our comprehensive Automated Machine Learning course! This program provides a practical, big-picture understanding of Artificial Intelligence and the streamlined process of building machine learning models. Forget complex equations and coding – focus on what truly matters: applying AI to solve real-world problems.

Course Structure Designed for Cognitive Learning

Our unique course architecture, designed by Richard Shinn, PhD in AI and CEO of AIBrain, prioritizes cognitive learning outcomes. We employ a two-step approach: learn by examples, then delve into the underlying principles. This method is ideal for navigating the complexities of AI and machine learning.

Learn by Doing: Hands-On Experience

From day one, you'll gain practical machine learning skills. Follow our lab instructors as you build ML models using AutoML. By the end of the course, you'll be able to build a working AI-powered mobile app. We emphasize practical knowledge, reflecting Richard Feynman’s principle: "What I cannot create, I do not understand."

Deepen Your Skills with Practical Assignments

Reinforce your learning with practical homework assignments accompanying each lab. These assignments help you solidify the skills you acquire throughout the course.

Get a Certificate from a Leading AI Company

Boost your resume with an official AI certificate from a recognized industry leader! Upon completion, you'll receive a verified certificate of completion, validating your AI skills.

Build a Real-World AI Project

Complete a term project where you'll ideate and build your own AI-powered product. You'll create a low-fidelity prototype and then develop a custom machine learning model with AutoML for your idea.

Personalized Support & Community

• 1-on-1 Guidance: Access lab instructors for personalized assistance with homework and projects within our AI School Community.
• AI School Community & Discord: Connect with peers, share insights, and get support from instructors and fellow students in our vibrant community.
• Progress Evaluation: Regularly assess your understanding with quizzes to track your progress and identify areas for improvement.
• Professional Networking: Build a valuable network of AI professionals. Join our dedicated alumni channel for successful graduates.

Course Topics

1. Introduction to Automated Machine Learning: Discover how AutoML is revolutionizing data science. Learn the 5-Step ML Pipeline and build your first AI-powered smartphone application in just 30 minutes.

2. Vision AI with Google AutoML & Apple CreateML: Explore how AI enables computers to understand images. Train models for accurate object detection and classification.

3. NLP & Tables with Google AutoML & Apple CreateML: Learn how AI can understand human language. Train models to classify emotions and content from SNS posts and articles. Analyze patterns in tabular data to predict outcomes like house prices.

4. Deploy AI in an Application: Easily deploy your machine learning models to devices and test them in real-world scenarios.