Cloud Computing

Quick Java Course

Rating: 4
2697 people enrolled
Duration : 12 weeks
Lessons : 25
Course Instructor: kranthikunta
Last Updated : Jan. 3, 2025, 1:06 p.m.
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₹ 15000/-

₹ 5000/-

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  • Level: Intermediate

  • Duration: 12 weeks

  • Lessons: 25

  • Lifetime Access

  • Access From Any Computer, Tablet or Mobile

About the course

Our Cloud Computing with Python internship offers a unique opportunity to gain practical, hands-on experience in one of the most transformative fields in technology. You'll learn how to use Python to work with cloud platforms like AWS, Azure, and Google Cloud, enabling you to build and deploy scalable, efficient cloud-based solutions. This internship will provide you with the essential skills needed to manage cloud infrastructure, automate processes, and leverage cloud services to enhance business operations. Through this internship, you'll gain exposure to industry-standard tools and techniques, including cloud storage, computing, security, and serverless architecture. With expert mentorship and real-world projects, you’ll be prepared for high-demand roles such as Cloud Developer, Cloud Solutions Architect, and DevOps Engineer. This internship is the ideal way to kickstart your career in cloud computing and position yourself for exciting opportunities in this rapidly growing field.

Course Content

  • Intro to Cloud Computing & Service Models
  • Deployment Models & AWS Overview
  • AWS Infrastructure & Account Setup
  • Amazon EC2 & Compute Services
  • Creating EC2 Instances & AMI
  • AWS Lambda & Elastic Beanstalk
  • Auto Scaling & Policies
  • Load Balancers & Migration
  • Roles, Policies & Load Balancer Types
  • AWS S3 & Storage Services
  • Block Storage & EFS
  • Amazon Glacier & Storage Gateway
  • Virtual Private Cloud & Networking
  • AWS Route 53 & Direct Connect
  • Relational & Non-Relational Databases
  • AWS Database Migration Service & IAM
  • AWS Shield & Cloud Security
  • AWS CloudTrail & Compliance
  • CI/CD Pipelines & AWS CodeDeploy
  • Infrastructure as Code & Terraform
  • Cloud Analytics & Containerization
  • Amazon QuickSight & Cloud ML
  • Amazon Lex & AI in Cloud
  • AWS Migration Hub & Snowball
  • Admission Process

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