Learning Paths

Boost Your Team's Potential

With Cloud Institute's Learning Paths


Explore Tailored Learning Paths Based on Your Role

At Cloud Institute, we understand that every role in an organization has unique learning needs. That’s why our Learning Paths are designed to align with specific roles and goals, ensuring you gain the right skills for your career progression.


Why Choose Our Learning Paths



Role-Specific Track

Focused on the skills you need to excel in your career.

Hands-On Labs

Gain practical experience with real-world scenarios.

Industry Certifications

Prepare for recognized certifications like AWS Certified Solutions Architect, Microsoft Azure Fundamentals, or Google Cloud EngineerEquip your employees with the right skills and knowledge to boost productivity and streamline operations.

Competitive Edge

Stay ahead of the curve by ensuring your team possesses the latest skills and expertise demanded by the ever-evolving cloud landscape.

 

How Learning Paths Work

 

 
 
  • Cloud Architect:

    A Cloud Architect designs and manages scalable, reliable cloud infrastructure solutions, ensuring security, performance, and cost-efficiency. They work with cloud platforms to architect systems that meet organizational needs.

  • Cloud Engineer:

    A Cloud Engineer builds, manages, and optimizes cloud-based systems, focusing on deployment, monitoring, and troubleshooting. They ensure seamless cloud operations and support development teams with infrastructure needs.

  • Devops Engineer:

    A DevOps Engineer streamlines development and IT operations by automating workflows, managing CI/CD pipelines, and ensuring smooth software deployment. They enhance collaboration and efficiency in the software development lifecycle.

  • Network Engineer:

    A Network Engineer designs, implements, and manages network infrastructure to ensure secure, efficient, and reliable connectivity. They troubleshoot network issues and optimize performance for seamless communication.

  • AI-ML Engineer:

    An AI/ML Engineer develops and deploys machine learning models, using data to create intelligent systems that automate tasks and provide insights. They work on algorithms, data processing, and model optimization.

Top Learning Paths

Most Popular Learning Paths