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Cloud Computing - Batch 1

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Course Overview:

This course provides an in-depth introduction to cloud computing, a paradigm shift in the way we manage and deliver computing resources. Cloud computing allows businesses and individuals to access and utilize computing resources over the internet, transforming how applications are developed, deployed, and scaled.

Course Objectives:

– Understand the fundamental concepts and models of cloud computing.

– Learn about the various service models (IaaS, PaaS, SaaS).

– Explore deployment models (public, private, hybrid, community).

– Gain practical experience with leading cloud platforms (AWS, Azure, Google Cloud).

– Understand cloud security, compliance, and best practices.

– Develop skills to design, implement, and manage cloud-based solutions.


Course Outline:

1. Introduction to Cloud Computing:

   – Definition and history

   – Benefits and challenges

   – Cloud vs. traditional IT infrastructure

2. Cloud Computing Models:

   – Service Models: 

     – Infrastructure as a Service (IaaS)

     – Platform as a Service (PaaS)

     – Software as a Service (SaaS)

   – Deployment Models:

     – Public Cloud

     – Private Cloud

     – Hybrid Cloud

     – Community Cloud

3. Cloud Service Providers:

   – Overview of leading providers (AWS, Azure, Google Cloud)

   – Comparative analysis

   – Key services and features

4. Cloud Architecture:

   – Designing cloud infrastructure

   – Networking in the cloud

   – Storage solutions

   – Compute resources

5. Cloud Security:

   – Security fundamentals

   – Identity and access management (IAM)

   – Data protection and encryption

   – Compliance and regulatory considerations

6. Cloud Management and Monitoring:

   – Resource management and scaling

   – Cost management and optimization

   – Monitoring and logging

   – Automation and orchestration

7. Practical Labs and Projects:

   – Hands-on experience with cloud platforms

   – Deploying and managing virtual machines

   – Creating and managing storage solutions

   – Implementing cloud security measures


8. Advanced Topics:

   – Serverless computing

   – Containers and Kubernetes

   – DevOps in the cloud

   – Emerging trends and technologies

9. Case Studies and Real-world Applications:

   – Analysis of cloud adoption in various industries

   – Success stories and lessons learned

10. Conclusion and Future of Cloud Computing:

   – Recap of key concepts

   – Future trends and career opportunities

   – Course review and next steps

Course Materials:

– Textbooks and reference materials

– Access to cloud platforms for hands-on labs

– Lecture notes and presentations

– Online resources and tutorials

Evaluation and Certification:

– Quizzes and assignments

– Midterm and final exams

– Practical projects and presentations

– Course completion certificate upon successful completion

Target Audience:

– IT professionals looking to upgrade their skills

– Students pursuing a career in cloud computing

– Business professionals interested in cloud technologies

– Anyone with a basic understanding of IT and an interest in cloud computing

By the end of this course, participants will have a solid understanding of cloud computing principles, be proficient in using major cloud platforms, and be prepared to implement and manage cloud-based solutions in a professional setting.

Module 01: Introduction to Cloud Computing (Week 1)
Module 02: A - Security (Week 2)
Module 02: B - Compute (Week 3)
Module 02: C- Storage & DB (Week 4)
Module 02: D - Networking (Week 5)
Module 03: A -Well - Architected Framework (Week 6)
Module 03: B - Application Integration (Week 6)
Module 03: C- Management and Governance (Week 6)
Module 03: D - AI_ML (Week 7)
Module 03: E - Analytics (Week 7)
Module 03: F - Cost Management (Week 7)
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