Artificial Intelligence is no longer the future — it's the present. From the recommendations on your Netflix feed to the voice assistant on your phone, AI is quietly powering the world around you. But how does it actually work?

This course is your friendly, jargon-free entry point into the world of Artificial Intelligence and Machine Learning. Designed specifically for absolute beginners, you don't need any prior technical knowledge — just curiosity and a willingness to learn.

Over 4 structured modules, you'll go from understanding what AI actually means, to exploring how machines learn from data, to getting a peek inside neural networks and the technology behind tools like ChatGPT. You'll also take a hard look at the ethical questions AI raises — and discover what career opportunities this fast-growing field has to offer.

By the end of this course, you won't just know what AI is — you'll understand how it thinks, where it's headed, and how you fit into that future.

"This course provides healthcare professionals with the essential skills to navigate digital health platforms and telemedicine tools. Participants will learn how to improve patient communication through electronic health records (EHR), ensure data privacy under healthcare regulations, and guide patients in using health monitoring apps effectively."

Overview: This foundational course is designed for engineers and technical staff to master the basics of the Amazon Web Services (AWS) ecosystem. It covers core cloud concepts, security, architecture, and pricing models to prepare learners for real-world cloud deployment.

What You Will Learn:

• Global Infrastructure: Understanding Regions, Availability Zones, and Edge Locations.

• Core Services: Hands-on introduction to EC2 (Compute), S3 (Storage), and RDS (Databases).

• Security: Mastering the Shared Responsibility Model and IAM (Identity and Access Management).

• Billing: Utilizing the AWS Pricing Calculator and Cost Explorer to manage cloud spend.

Prerequisites: None. Basic understanding of networking (IP addresses/DNS) is recommended. Target Outcome: Preparation for the AWS Certified Cloud Practitioner (CLF-C02) exam.