Cloud Computing & Artificial Intelligence (AI)

Course Overview

The Cloud Computing & AI course introduces learners to the world of scalable cloud services and intelligent AI solutions. Students will gain hands-on experience with cloud platforms (AWS, Google Cloud, Azure) and explore AI tools, machine learning basics, and real-world applications.

This course is ideal for those who want to start a career in cloud engineering, data science, or AI-driven business solutions.

🎯 Learning Outcomes

By the end of this course, students will be able to:

Understand the fundamentals of cloud computing & deployment models.

Use cloud services for storage, hosting, and application deployment.

Learn about AI & machine learning basics.

Build simple AI models for predictions and automation.

Explore AI-powered tools (Chatbots, Image Recognition, NLP).

Understand how Cloud & AI integrate to power modern businesses.

📚 Course Modules
Module 1: Introduction to Cloud Computing

What is cloud computing?

Cloud service models: IaaS, PaaS, SaaS

Public, Private, and Hybrid cloud

Module 2: Working with Cloud Platforms

Overview of AWS, Azure, and Google Cloud

Cloud storage, databases, and servers

Deploying simple applications on the cloud

Module 3: Introduction to Artificial Intelligence

What is AI?

Types of AI (Weak AI, Strong AI)

Real-world AI applications

Module 4: Machine Learning Basics

What is machine learning?

Supervised vs unsupervised learning

Simple ML models for predictions

Module 5: AI Tools & Applications

Natural Language Processing (NLP)

Image & speech recognition basics

AI chatbots & virtual assistants

Module 6: Cloud + AI Integration

How cloud supports AI workloads

AI services on AWS, Azure, and Google Cloud

Case studies (AI in healthcare, business, finance, etc.)

Final Project

Build and deploy a basic AI model (e.g., chatbot, image classifier, or recommendation system) using a cloud platform.

🕒 Course Duration

3–5 Months (Regular / Weekend / Online batches available)

🎓 Career Opportunities

After completing this course, learners can work as:

Cloud Computing Specialist

AI & Machine Learning Assistant

Data Analyst (entry level)

Cloud DevOps Engineer (with advanced learning)

Freelancer for cloud & AI-based projects