Your First Step Into AI – Free Demo Course Now Available!
We’re excited to introduce a demo version of our full course on AIAP Foundation! This hands-on preview gives you a taste of what’s inside—real-world AI applications, interactive lessons, and expert-led guidance designed to accelerate your learning journey.
What You’ll Get in the Demo:
✅ A sneak peek into core AI concepts
✅ Hands-on exercises to understand AI principles
✅ A guided learning experience powered by AI
✅ Exclusive insights into the full course
Whether you’re just starting out or looking to expand your AI expertise, this free demo course is the perfect first step. Ready to dive in?
We’ve Upgraded AIAP Foundation – See What’s New!
New Learning Content: Learning how to Debug & Investigate Errors
We’ve added an exciting new lesson to AIAP Foundation to strengthen your debugging skills! This interactive exercise walks you through identifying and fixing errors in a faulty Python snippet using Pandas. This lesson is designed to help you think like a problem-solver and gain confidence in debugging AI and data science code. Ready to dive in?
New Learning Content: Setting Up Essential Tools on MacOS & Windows!
Due to popular demand, we’ve added a series of video tutorials to AIAP Foundation to help you set up essential tools such as Miniconda, Git and VS Code on both MacOS and Windows! This step-by-step guide ensures you have a smooth installation experience, making it easier to manage your development environments for AI development. Whether you’re a beginner or setting up a fresh workspace, this guide will help you get started quickly and efficiently.
New Learning Content: End-to-End Machine Learning Pipeline Walkthrough
We’ve added an in-depth walkthrough video to AIAP Foundation, guiding you through the process of developing a complete machine learning pipeline from start to finish! Whether you’re building your first ML pipeline or refining your skills, this lesson provides valuable insights into structuring and automating your workflow. This tutorial is designed to help you bridge the gap between theory and practice, ensuring you can confidently build and deploy your own ML solutions.
