Cloud Fundamentals: AI Cloud & Deployment Specialist 101 (ACDS-101)

If you’ve ever wondered how AI actually runs at scale, this is the course that connects the dots.

ACDS-101 is your guided introduction to the cloud platforms that power the world’s biggest AI systems — Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP).

You’ll go beyond buzzwords and get hands-on with real cloud environments — learning how to host AI models, manage data securely, and automate deployments. By the end, you’ll know how to move an AI project from your laptop to a live cloud instance that scales globally.

This course is designed for beginners, tech enthusiasts, and up-and-coming AI professionals who want to understand what happens after you train a model — when it’s time to make it run reliably, fast, and securely.

🌍 What You’ll Learn

✅ The core building blocks of the cloud — compute, storage, and networking — and how they support AI workloads.

✅ How to use AWS EC2, Lambda, and S3 to host, store, and automate small AI projects.

✅ How to train and deploy models using Azure Machine Learning and Data Factory with secure role management.

✅ How to build AI pipelines and apps using GCP Vertex AI, Cloud Run, and BigQuery.

✅ How to control costs, monitor performance, and manage permissions like a professional.

Every concept is paired with real cloud labs and guided projects, so you can experiment and build confidence.

🧠 Why This Course Matters

Modern AI doesn’t live in notebooks — it lives in the cloud.

This course bridges the gap between AI experimentation and real-world deployment. You’ll learn how AI systems are actually built and scaled in production environments used by startups, research teams, and enterprises alike.

By mastering the cloud early, you’re setting yourself up to handle MLOps, AI productization, and data engineering with ease in future roles.

💪 By the End of the Course

You’ll be able to:

• Confidently set up and navigate AWS, Azure, and GCP consoles.
• Deploy AI scripts, apps, or models using real cloud tools — not simulations.
• Understand cost management, permissions, and scalability fundamentals.
• Launch your own cloud-based AI project — the first step toward becoming a Cloud AI Engineer or Deployment Specialist.

This isn’t just a theory class — it’s your first real experience working in the AI cloud ecosystem.

By the end of ACDS-101, you’ll have the knowledge and confidence to deploy real AI solutions that run anywhere, anytime.