Cloud Computing and Its Applications

Department: Artificial Intelligence and Machine Learning (AIML)
Semester: VI Semester
Topic: Cloud Computing and Its Applications
Date: 26/4/2026
Venue: 406 class room
Participants: 6th Semester AIML Students

Resource Person: Mr. Akash Athreyas

Introduction

A presentation on Cloud Computing and Its Applications was conducted for the 6th Semester AIML students with the objective of enhancing their understanding of cloud technologies and their significance in modern computing environments. The session provided valuable insights into cloud computing concepts, service models, deployment models, and real-world applications relevant to Artificial Intelligence and Machine Learning.

Objectives of the Presentation

The primary objectives of the session were:

• To introduce the fundamentals of cloud computing.
• To explain different cloud service models and deployment models.
• To familiarize students with leading cloud platforms such as Microsoft Azure, Amazon Web Services (AWS), and Google Cloud Platform (GCP).
• To discuss the role of cloud computing in AI and ML applications.
• To highlight industry use cases and career opportunities in cloud technologies.

Key Topics Covered

1. Fundamentals of Cloud Computing

The speaker explained cloud computing as the delivery of computing services such as servers, storage, databases, networking, software, and analytics over the Internet. The essential characteristics of cloud computing, including on-demand self-service, broad network access, resource pooling, rapid elasticity, and measured services, were discussed.

2. Cloud Service Models

The following service models were explained in detail:

• Infrastructure as a Service (IaaS): Provides virtualized computing resources.
• Platform as a Service (PaaS): Offers development and deployment environments.
• Software as a Service (SaaS): Delivers software applications over the Internet.

3. Cloud Deployment Models

Different deployment models were presented:

• Public Cloud
• Private Cloud
• Hybrid Cloud
• Community Cloud

Their advantages, limitations, and practical applications were discussed.

4. Cloud Platforms

An overview of major cloud providers was given:

• Amazon Web Services (AWS)
• Microsoft Azure
• Google Cloud Platform (GCP)

The speaker highlighted various services offered by these platforms, including virtual machines, storage services, databases, AI services, and machine learning tools.

5. Applications of Cloud Computing in AIML

Special emphasis was given to the role of cloud computing in Artificial Intelligence and Machine Learning:

• Large-scale data storage and processing
• Model training using cloud-based GPUs and TPUs
• Real-time analytics
• AI-powered applications and services
• Deployment and monitoring of ML models
• Big Data processing and predictive analytics

6. Industry Use Cases

Several real-world applications were presented, including:

• Healthcare diagnostics
• Smart cities
• Financial fraud detection
• Recommendation systems
• Autonomous vehicles
• Natural Language Processing (NLP) applications

Student Participation

The students actively participated in the session by asking questions regarding cloud deployment, security concerns, AI services, and career prospects in cloud computing. Interactive discussions helped students understand the practical relevance of cloud technologies in the AI and ML domain.

Outcomes of the Presentation

The presentation enabled students to:

• Understand cloud computing concepts and architectures.
• Differentiate between various cloud service and deployment models.
• Recognize the importance of cloud platforms in AI and ML applications.
• Gain awareness of emerging industry trends and cloud-based solutions.
• Explore certification and career opportunities in cloud computing.

Conclusion

The presentation on Cloud Computing and Its Applications was highly informative and beneficial for the 6th Semester AIML students. It successfully bridged the gap between theoretical concepts and practical industry applications, providing students with valuable knowledge about modern cloud technologies and their integration with Artificial Intelligence and Machine Learning. The session enhanced students’ technical understanding and motivated them to explore cloud-based solutions for future academic and professional endeavors.

Dr. Soumya K N                              Mr. Akash Athreyas                                         Dr. Madhu B R

Subject Coordinator                         Resource Person                                                HOD AIML