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EKC

The Amazon EKS Course covers the essentials of running and managing Kubernetes on AWS. It includes deploying Kubernetes clusters, scaling applications, and automating tasks, providing the skills needed to manage containerized applications using AWS’s managed Kubernetes service.

Why Enroll for Amazon EKS?

High demand for Kubernetes and EKS professionals as companies embrace cloud-native architectures

Kubernetes has become the standard for container orchestration, and AWS offers a managed solution with EKS.

EKS allows developers to deploy and manage Kubernetes clusters at scale, with AWS security and reliability.

Amazon EKS Course Training Benefits

Acquire EKS skills with hands-on labs and real-world applications. This course provides:

  • Comprehensive knowledge of Kubernetes and EKS.
  • Skills to deploy, manage, and scale Kubernetes clusters on AWS.
  • Expertise in container orchestration and microservices deployment.
  • Proficiency in monitoring and securing EKS clusters.

Real-world scenarios in automating Kubernetes tasks.

Why Amazon EKS Course from LevelUp?

Live Interactive Learning

  • World-Class Instructors
  • Expert-Led Mentoring Sessions
  • Instant doubt clearing

Lifetime Access

  • Course Access Never Expires
  • Free Access to Future Updates
  • Unlimited Access to Course Content

Hands-On Project Based Learning

  • Industry-Relevant Projects
  • Course Demo Dataset & Files
  • Quizzes & Assignments

Professional certification

  • Levelup Training Certificate
  • Graded Performance Certificate
  • Certificate of Completion

Amazon EKS Skills Covered

• Kubernetes Basics and EKS Management
• Deploying and Scaling Kubernetes Clusters
• Networking and Security in EKS
• Monitoring and Automation of Kubernetes Workloads

Tools Covered

• Amazon EKS
• kubectl
• AWS IAM
• AWS VPC
• AWS CloudWatch

Curriculum Designed by Experts

Our data engineering curriculum is developed by professionals in the field to ensure you learn the most current and relevant skills.

The course includes essential topics such as OpenAI technologies, Large Language Models (LLMs), prompt engineering, Azure OpenAI, GCP Vertex AI, Hugging Face, and more. You’ll learn how to create AI applications and integrate APIs effectively

While prior experience can be helpful, it’s not required. Our course is designed for all skill levels, and we provide foundational knowledge to ensure you can follow along and develop your skills.

You’ll gain hands-on experience in deploying and testing AI models, creating AI applications using LLMs, and implementing effective prompt engineering techniques. You’ll also learn how to use key APIs, such as Google Speech-to-Text and Hugging Face.

The course is delivered through a combination of video lectures, interactive assignments, and live coding sessions. You’ll have access to a learning management system where you can track your progress and engage with fellow learners.

SAMPLE CERTIFICATE

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Data Engineering Training FAQs

You will never miss a lecture at Levelup! You can choose either of the two options:
 
  • View the recorded session of the Python online course available in your LMS.
  • You can attend the missed python online training and certification session, in any other live batch.”

The Data Engineer training course is designed for individuals seeking to fast-track their data engineering careers and the course will be beneficial for those who are working in the following roles:

  • Freshers
  • IT Team Leaders
  • Software Developers
  • Systems Administrators and IT Managers
  • Cloud Engineers
  • Developers
  • Engineers
  • Testing Professionals

Yes, this course is suitable for freshers and helps them secure data engineering jobs with competitive salaries at top-tier companies.

After completing the course, you will receive a Certificate of Completion for the Data Engineering Masters Program, awarded after finishing the individual certifications for the relevant courses.

After completing this certification, you can pursue job opportunities like Junior Data Engineer, Data Engineer, and Senior Data Engineer, each with increasing responsibilities in building and maintaining data pipelines.

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