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Azure Kubernetes Service (AKS)

The Azure Kubernetes Service (AKS) Course is aimed at individuals looking to master Kubernetes on Azure. This course covers container orchestration, cluster management, scaling, and security, preparing students to deploy and manage applications using AKS.

Why Enroll for AKS?

AKS skills are in high demand as companies adopt microservices and cloud-native architectures.

Kubernetes has become essential for modern containerized applications, and AKS offers a fully managed solution on Azure.

Mastering AKS prepares professionals to manage complex Kubernetes deployments at scale, a skill valued across cloud-focused industries.

AKS Course Training Benefits

Gain expertise in AKS through hands-on labs and real-world projects. This course provides:
• In-depth knowledge of Kubernetes fundamentals and AKS management.
• Skills to deploy, scale, and secure Kubernetes clusters on Azure.
• Proficiency in configuring networking, storage, and monitoring for AKS.
• Experience in microservices deployment and container orchestration.

Why AKS 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

AKS Skills Covered

• Kubernetes Fundamentals and Cluster Management
• Deploying and Scaling AKS Clusters
• Networking and Storage Configuration
• Security and Monitoring for AKS
• Microservices Deployment

Tools Covered

• Azure Kubernetes Service (AKS)
• kubectl
• Helm
• Azure Monitor
• Azure Container Registry (ACR)

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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