Become a Job-Ready Cloud & AI Engineer in 60 Days
A structured learning roadmap designed to transform beginners into job-ready Cloud & AI engineers using AWS and modern AI technologies.
By the End of This Program You Will:
- Deploy real AWS cloud infrastructure
- Launch AI models in the cloud
- Build DevOps automation pipelines
- Create a professional GitHub project portfolio
Instead of learning from scattered tutorials, Students follow a step-by-step engineering roadmap used by modern cloud teams.
The 60-Day Cloud & AI Transformation
Cloud Computing and Artificial Intelligence are among the fastest-growing technology fields in the world.
Modern companies need engineers who can build:
Scalable cloud infrastructure
AI-powered applications
Automated DevOps pipelines
Infrastructure Dashboards
This roadmap shows exactly how beginners progress from learning AWS fundamentals to deploying real AI systems in the cloud.
60-DAY ROADMAP
The 8-Week Transformation Journey
- DAYS
WEEK
1-2
Cloud Foundations & Core Services
Goal: Build the core knowledge every cloud engineer needs.
Students begin by understanding how real cloud systems operate behind the scenes.
What You Learn
- Introduction to Cloud Computing and Amazon Web Services
- Networking basics (DNS, IP, routing)
- Cloud architecture concepts
- AWS global infrastructure
Hands-On Labs
- Setup AWS environment
- Launch and manage virtual servers using Amazon EC2
- Create and manage storage buckets using Amazon S3
- Create IAM users and permissions
- Identity and Access Management basics
Outcome
Students gain a solid foundation in how real cloud environments operate.
WEEK
3-4
Applied Cloud Implementation
Goal: Deploy real cloud infrastructure.
Students begin building scalable AWS systems used by modern companies.
Skills You Build
- Cloud server deployment
- Storage architecture
- Networking with VPC
- Secure identity and access management
Hands-On Labs
- Deploying and managing applications on Amazon EC2
- Build private networks using VPC
- Static website hosting using Amazon S3
- Configure IAM security policies
- vMini cloud deployment project
- Monitoring and logging fundamentals
Outcome
Students gain the ability to deploy and manage AWS infrastructure like a cloud engineer.
WEEK
5-6
DevOps & Cloud Security
Goal: Learn how production cloud systems are automated and secured.
What You Learn
- CI/CD automation pipelines
- Monitoring dashboards
- Automated infrastructure deployments
- Cloud cost optimization strategies
Hands-On Labs
- Build CI/CD pipelines
- Setup cloud monitoring dashboards
- Implement cloud security best practices
Outcome
Students develop production-ready DevOps and cloud automation skills.
WEEK
7-8
AI & Machine Learning on AWS
Goal: Deploy real AI systems in the cloud.
Students learn how AI models integrate into real production cloud environments.
Technologies Used
- AWS SageMaker
- Amazon Bedrock
- Machine learning deployment pipelines
- Generative AI applications
Hands-On Projects
- Deploy machine learning models
- Build generative AI applications
- Design AI-powered cloud systems
Outcome
Students gain the ability to deploy AI models within real cloud environments.
Final Capstone Project
At the end of the program students build a complete Cloud + AI production project.
Example projects include:
- AI document processing system
- AI chatbot using Amazon Bedrock
- Cloud cost monitoring automation
- Machine learning prediction API deployed on AWS
Example projects include:
- Career switchers ready to commit 60 days
- Fresh graduates who want real skills, not just degrees
- IT professionals upgrading to cloud & AI
- Anyone who wants remote/global career access
Instead of learning from scattered tutorials, Students follow a step-by-step engineering roadmap used by modern cloud teams.
Internship Opportunity
Students who successfully complete the core modules of the program will become eligible for the guaranteed 2-month internship.
During the internship you may work on:
Real AWS cloud environments
Monitoring and automation
AI / ML pipeline deployments
Team collaboration workflows
AWS Certifications Preparation
The program prepares students for two globally recognized AWS certifications:
AWS Certified Cloud Practitioner
AWS Certified AI / Machine Learning Practitioner
Certification exam preparation is included as part of the course training.
(Certification exam fees are included in the program)
Our first cohort results
10 Students
100% AWS certification pass rate
These are globally recognized AWS certifications that show employers you can do the work — not just talk about it.
Career Opportunities
Cloud and AI engineers are among the most in-demand professionals worldwide.
Typical entry-level opportunities include:
Remote Global Roles
$1,500 – $3,000 per month
Middle East Opportunities
$2,500 – $5,000 per month
International Cloud Careers
$80,000+ annually with experience
Salary ranges are based on industry data from Glassdoor, LinkedIn, and global technology job reports.
Student Testimonials
Working as a full-stack intern at CloudLogically was a transformative experience for me. The exposure to real-world projects and the collaborative culture were highlights of my internship. Mr. Aamir Aftab’s direct involvement was truly inspiring. Having a CEO who takes the time to personally mentor interns is rare, and it made me feel valued and motivated to contribute my best. His insights and advice were invaluable, and I’m leaving this internship with a deep sense of accomplishment and gratitude.
Umer KhokharJunior-Level Developer CloudLogically Intern 
My internship at CloudLogically was an incredible learning experience. The supportive environment allowed me to grow both technically and professionally. I’m grateful for the opportunity and the guidance provided during my time here.
Hanzala KhalidSoftware Developer CloudLogically Intern 
My internship at CloudLogically exceeded all my expectations. The opportunity to work on diverse projects alongside a talented team was fantastic, but what stood out the most was Mr. Aamir Aftab’s personal engagement with us interns. His open-door policy and willingness to share his knowledge and experience were incredibly motivating. I’m proud to have been part of such a forward-thinking company.
Umair YahyaSoftware Developer CloudLogically Intern 
Program Investment
Choose the learning path that fits your career goals.
AWS Cloud Foundations
- 28 hours instructor-led training
- certification preparation
- Cloud infrastructure projects
- Hands-on AWS labs
USD $236.20
USD
$213
AWS AI & ML Practitioner
- 30 hours instructor-led training
- certification preparation
- AI model deployment labs
- Generative AI applications
USD $316.00
USD
$283
+
Complete 60-Day Cloud & AI Bundle
- AWS Cloud Foundations
- AWS AI & ML Practitioner
- Capstone cloud + AI project
- Internship opportunity
Flexible Payment Option
Pay in 2–3 monthly installments at no extra cost.
USD
$461
Start Your Cloud & AI Career
Your roadmap to becoming a Cloud & AI Engineer starts here
Next Cohort Starts : 15 April 2026
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