Advance Cloud Professional Engineer Program

Master advance cloud engineering skills and secure a practical internship with our comprehensive course. Gain hands-on experience with Kubernetes, AWS, and Linux while learning directly from industry experts. Our program also includes live projects, ensuring you build real-world skills that are in high demand. Enroll now to transform your career and become a leader in cloud technology!

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Course Content

  • Access systems and get help
  • Log in to local and remote Linux systems, and investigate problem resolution methods provided through Red Hat Insights and support..

  • Navigate file systems
  • Copy, move, create, delete, and organize files while working from the bash shell.

  • Manage local users and groups
  • Create, manage, and delete local users and groups and administer local password policies.

  • Control access to files
  • Set Linux file system permissions on files and to interpret the security effects of different permission settings.

  • Tune system performance
  • Evaluate and control processes, set tuning parameters, and adjust process scheduling priorities on a Red Hat Enterprise Linux system.

  • Install and update software packages
  • Download, install, update, and manage software packages from Red Hat and DNF package repositories.

  • Manage basic storage
  • Create and manage storage devices, partitions, file systems, and swap spaces from the command line..

  • Control services and the boot process
  • Control and monitor network services, system daemons, and the boot process using system.

  • Manage networking
  • Configure network interfaces and settings on Red Hat Enterprise Linux servers.

  • Analyze and store logs
  • Locate and accurately interpret logs of system events for troubleshooting purposes.

  • Implement advanced storage features
  • Create and manage logical volumes containing file systems and swap spaces from the command line, and configure advanced storage features with Stratis and VDO.

  • Schedule future tasks
  • Schedule tasks to automatically execute in the future.

  • Access network-attached storage
  • Access network-attached storage, using the NFS protocol.

  • Manage network security
  • Control network connections to services using the system firewall and SELinux rules.

  • Run containers
  • Obtain, run, and manage simple, lightweight services as containers on a single Red Hat Enterprise Linux server.

 

    • Introduction to AWS

Understanding cloud computing and AWS services
Regions, Availability Zones, and global infrastructure.

    • Compute Services

Amazon EC2 (Elastic Compute Cloud)

Auto Scaling and Load Balancing.

    • Storage Services

Amazon S3 (Simple Storage Service)

Amazon EBS (Elastic Block Store)

Amazon EFS (Elastic File System)

    • Networking and Security

Amazon VPC (Virtual Private Cloud)

Security groups, NACLs, and network architecture

Identity and Access Management (IAM)

    • Databases and Analytics

Amazon RDS (Relational Database Service)

Amazon DynamoDB

Amazon Redshift and Amazon EMR (Elastic MapReduce)

    • Application Services

AWS Lambda

Amazon API Gateway

Amazon SQS (Simple Queue Service) and Amazon SNS (Simple Notification Service)

    • Architecting for High Availability and Scalability

Design principles for fault tolerance

Multi-AZ deployments and global content delivery

    • Cost Optimization

Cost-effective architecture design

Security Best Practices

 

Encryption, key management, and compliance

Monitoring and auditing

 
    • Cluster Architecture, Installation & Configuration

Understand Kubernetes architecture.

Set up and configure production-grade Kubernetes clusters.

Manage cluster components.

    • Workloads & Scheduling

Deploy and manage workloads (pods, deployments, statefulsets).

Understand resource requirements and limits.

Implement scheduling strategies.

    • Services & Networking

Create and manage services.

Configure network policies.

Troubleshoot networking issues.

    • Storage

Configure persistent storage.

Understand storage classes and volume types.

    • Troubleshooting

Diagnose and resolve common issues.

Use logs and debugging tools effectively.

Troubleshoot networking, workloads, and cluster components.

 
    • Application Design and Build

Creating cloud-native applications.

Working with container images.

Applying Cloud Native application concepts and architectures.

    • Application Deployment

Kubernetes resource definitions.

Deployment strategies and scaling applications.

Managing application state and lifecycle.

    • Application Observability and Maintenance

Monitoring application health.

Logging and observability tools.

Troubleshooting common application issues.

    • Application Environment, Configuration, and Security

Configuring runtime environments.

Managing secrets and application configuration.

Implementing security best practices.

    • Services and Networking

Exposing applications via services.

Networking models within Kubernetes.

Inter-service communication and ingress.

Internship
Our internship program offers the chance to solve real-world challenges, giving you hands-on experience with industry scenarios. You’ll refine your skills by tackling practical problems.
Online Delivery

This approach provides students with the flexibility to learn from the comfort of their homes, eliminating geographical barriers and allowing for a personalized learning experience. 

Live Project

These projects tackle real-world problems, allowing interns to apply their academic knowledge in a practical setting. Each intern will have the opportunity to contribute meaningfully, enhancing their skills.

Interact in Hindi/Marathi

Our trainers are well-equipped to communicate in English, Hindi, and Marathi, allowing students to express themselves comfortably and engage more deeply in the learning process.  

Advance Labs

Advance Lab is a hands-on practical phase where participants apply the skills they’ve learned in real-world scenarios. After completing the course, learners engage in projects .

This Advance Cloud Professional Engineer certification will boost your career.

For more information contact 8693013689

Course Fees

Course + Internship

Rs 96,000

Limited Seats

Designed for college students, recent grads and desktop engineers

Frequently Asked Questions

What certifications does this course cover?

This course prepares you for the following exams:

  • AWS Solution Architect Associate (SAA-C03)
  • Red Hat Certified System Administrator (RHCSA)
  • Certified Kubernetes Administrator (CKA)
  • Certified Kubernetes Application Developer (CKAD)
What is the duration of the course?

The duration of the course is 140 hours, lectures will be for 4 hours daily for weekday batch and 4 hours on Sat and Sun for weekend batch. For the remaining 4 hours the students are expected to practice the topics taught and submit them for evaluation.

Does the course include the certification exam cost?

No, the course fee typically does not cover the cost of the certification exams. You will need to register and pay for the exams separately.

What are the prerequisites for this course?

Each student is expected to have a laptop and an AWS free-tier account. There are no other prerequisites.

What is the format of the course (online lectures, labs, etc.)?

The entire course and labs will be performed online with a remote or work from home internship.

Does the course provide any study materials?

During the course of training we will follow official documentation of respective vendors. Practice tests and exercise are custom developed by us for this course.

Is there any instructor support available during the course?

Candidates will have access to a community forum for any doubts or queries they may have post training sessions while performing the assignments which will be moderated by a technical assistant during normal business hours.

Is there any guaranteed placement after the internship?

No internship program can guarantee placement after the program. However, we will provide career counseling and assistance with job search.

What is the internship program like?
  • What kind of internship opportunities are offered?

Internship is available for all eligible students in the field of Linux, AWS and Kubernetes.

  • Are there any prerequisites for the internship program?

All candidates who have attended at least 80% of the sessions and submitted all assignments without plagiarism are eligible for the final exam. Passing the final exam (by achieving the outcome in a defined time-frame) makes a student eligible for an internship.

  • Is this a paid internship?

No. This is not a paid internship.

  • Is there a certificate issued for an internship?

Yes. A certificate of internship will be awarded to all candidates who have 100% attendance and have completed all the assignments.

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