AI Cloud Computing

Class Format:
Online
Tuition/Cost

The AI Cloud Computing Program is a 24-week, immersive training experience designed for individuals aiming to launch or advance careers in cloud engineering, architecture, DevOps, and AI-driven cloud operations. Through hands-on learning with leading platforms like AWS, Azure, and Google Cloud, participants master essential skills in containerization, Infrastructure-as-Code, automation, cloud security, and AI tools that enhance cloud performance and efficiency. The program’s unique blend of technical instruction, AI-assisted engineering, and real-world capstone projects ensures graduates are fully prepared for in-demand, global roles in the rapidly evolving cloud industry.

Participants learn how to deploy, manage, and optimize AI workloads on cloud platforms, enabling scalable, efficient, and intelligent computing solutions. The program covers cloud architecture for AI applications, AI model deployment, serverless computing, containerization, and resource optimization. Participants gain hands-on experience using AI-powered cloud services, managing data pipelines, and designing solutions that leverage the flexibility and scalability of cloud environments. By the end of the program, participants will be equipped to architect and maintain AI-enabled cloud solutions, ensuring reliable, high-performance, and cost-effective systems—bridging the gap between AI innovation and practical cloud deployment.

This Course Includes:
Language:
Multiple
Course Duration:
24 Weeks
Available on the app:
Yes
Internship Available:
Yes
Certificate Upon Completion

Career Paths After Completing This Course

  • Graduates can work as Cloud Support Engineers, Cloud Technicians, Cloud Operations Associates, Technical Support Specialists with Cloud & AI skills, Cloud Engineers (AWS/Azure/GCP), DevOps Engineers, Site Reliability Engineers (SREs), or Cloud Security Analysts
  • Advanced career paths include Cloud Solutions Architect, Cloud Security Engineer, AI Cloud Operations Engineer, AI DevOps Lead, and Multi-Cloud Automation Specialist
  • Strong demand as enterprises migrate to cloud environments and integrate AI-driven operations
  • Opportunities across tech companies, SaaS providers, financial services, healthcare, and global enterprises
  • Professionals with skills in multi-cloud platforms, AI automation, and security gain a competitive edge
Student Life Coaching Support
Scholarship Support with Earlston

Step by Step Curriculum

Below is the step-by-step curriculum for the course, designed to guide you from foundational concepts to advanced skills, ensuring a clear and structured learning path. Each unit builds on the previous one, helping you gain practical knowledge and prepare for real-world applications in your chosen field.

Unit 1: Introduction to Cloud Computing & AI
Unit 2: AWS Cloud Foundations
Unit 3: Microsoft Azure & Cloud Automation
Unit 4: Google Cloud Platform + AI/ML
Unit 5: Containerization & Kubernetes
Unit 6: DevOps & Automation
Unit 7: Cloud Security & Compliance
Unit 8: Capstone Project + Exam Prep

Salary Expectations After Completing the Course

Earning potential after completing this course can vary widely depending on your certification level, geographic location, and professional experience.  This range provides a realistic overview of what graduates can expect as they launch or advance their careers.

USA & Canada: $55,000 – $85,000
Europe (UK, EU): €35,000 – €55,000
Middle East (UAE, Saudi): $30,000 – $55,000
Africa (Nigeria, Kenya, SA): $8,000 – $18,000
India: ₹3.5 – 8 LPA
LATAM (Mexico, Brazil, Colombia): $12,000 – $25,000

Financial Aid Resources with Earlston

Explore Similar Courses

Explore similar courses to discover additional learning opportunities that complement your skills and career goals. These programs offer related knowledge, practical training, and specialized expertise to help you expand your qualifications and stay competitive in your field.