Ai and Machine Learning for Beginners - Build Your Own Ai

Language: Tagalog
Level: Beginner
Focus: Ai and Machine Learning

AI and Machine Learning for Beginners: Foundations and Projects

Unlock the exciting world of Artificial Intelligence (AI) and Machine Learning (ML) — no coding or math experience required!

This beginner-friendly course is designed to help students, hobbyists, and aspiring developers understand how intelligent systems learn, think, and make decisions — the same way real-world AI powers voice assistants, image recognition, and self-driving cars.

We’ll start with the five pillars of AI and Machine Learning — Data, Algorithms, Models, Training, and Ethics — then move into simple, hands-on projects using Google’s Teachable Machine and Google Colab.

By the end of this course, you’ll not only understand how AI works but also build and train your own AI models that can classify images, sounds, and more!

What You’ll Learn

• The foundations of Artificial Intelligence — what it is and how it imitates human intelligence

• The pillars of Machine Learning — Data, Algorithms, Models, Training, and Evaluation

• The main types of ML: Supervised, Unsupervised, Semi-Supervised, and Reinforcement Learning

• How to create your first AI model using Google’s Teachable Machine

• How to run a real Machine Learning project in Google Colab using simple Python notebooks

• How to analyze, train, and test models with data

• How to understand AI ethics, bias, and human responsibility

• How AI and ML are used in real industries — education, healthcare, business, robotics, and entertainment

Who This Course is For?

• High school or college students curious about Artificial Intelligence

• Beginners with no prior coding experience

• Teachers introducing AI concepts to their students

• Freelancers or professionals exploring AI-powered tools and workflows

• Anyone who wants to understand and create real AI projects — fast and easy

Course Goals

By completing this course, students will:

• Understand the fundamentals and pillars of AI and ML

• Create real, working AI projects without advanced math or coding

• Gain confidence to move into deeper AI and Data Science studies

• Apply AI thinking to real-world problems and innovations

Learning Outcome

• After this course, you will be able to:
• Explain what Artificial Intelligence and Machine Learning are
• Differentiate between Supervised, Unsupervised, and Reinforcement Learning
• Build and test your own AI models using free online tools
• Evaluate AI predictions using basic accuracy and performance metrics
• Apply ethical reasoning when creating AI systems

Why This Course

Unlike most AI introductions that are heavy on math or programming, this course focuses on clear explanations, visual learning, and real-world applications.
It’s the perfect first step for Filipino learners and global students who want to begin their journey in AI and Machine Learning — in a fun, practical, and easy-to-understand way.

Click “Get Course” to enroll!