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GCP Devops

The GCP DevOps Course covers best practices and tools for implementing DevOps on Google Cloud Platform. It includes CI/CD, infrastructure as code, monitoring, and automation, preparing participants to streamline development and deployment processes on GCP.

Why Enroll for GCP DevOps?

GCP DevOps professionals play a key role in enabling agile and continuous delivery in cloud environments

DevOps practices are critical for reducing deployment times and improving application reliability, making GCP DevOps skills highly valued.

GCP provides powerful tools for DevOps, enabling automation and scalability for software development.

GCP DevOps Course Training Benefits

Acquire GCP DevOps skills with hands-on labs and real-world projects. This course provides:
• Training in building and managing CI/CD pipelines using GCP tools.
• Proficiency in infrastructure as code with Terraform and Deployment Manager.
• Skills to monitor applications and manage deployments in GCP.
• Practical experience with GCP DevOps tools to automate workflows.

Why GCP DevOps 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

GCP DevOps Skills Covered

• Continuous Integration and Delivery (CI/CD) with Cloud Build
• Infrastructure as Code with Deployment Manager and Terraform
• Monitoring and Logging with Stackdriver
• Security and Compliance in DevOps
• Automated Deployment and Scaling

Tools Covered

• Google Cloud Build
• Google Cloud Deployment Manager
• Stackdriver Monitoring and Logging
• Terraform
• GCP IAM

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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Your Data Engineering journey starts here

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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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