Cloud Computing (AWS)
Our intensive 4-month program at HighUpWeb Academy equips students with practical skills in cloud computing using Amazon Web Services (AWS), integrating AI tools for automation, optimization, and cloud-based solutions.
The 4-month Cloud Computing (AWS) program prepares learners for careers in cloud architecture, cloud administration, DevOps, and IT infrastructure management. Students gain hands-on experience with AWS services, including EC2, S3, RDS, Lambda, and cloud security, while leveraging AI-assisted tools for deployment, monitoring, and automation.
By combining theory, practical labs, and real-world projects, learners develop the skills needed to design, deploy, and manage scalable, secure, and resilient cloud solutions. Graduates are ready for roles such as Cloud Engineer, AWS Developer, DevOps Engineer, or Cloud Consultant.
Program Highlight
About Programs
The Cloud Computing (AWS) program at HighUpWeb Academy emphasizes hands-on learning, cloud infrastructure design, and AI-enhanced cloud management. Students learn to deploy and manage cloud resources, implement security best practices, automate workflows, and monitor performance.
AI integration allows students to optimize workloads, automate repetitive tasks, and gain insights for predictive maintenance and scaling. The program ensures graduates are prepared for cloud-based IT roles across industries.
Typical Program Structure
Duration: 4 Months
Training Format: Instructor-led + Hands-on Labs + Projects
Structure:
- Foundation Phase – Cloud Concepts & AWS Basics
- Core Technical Phase – AWS Services & Infrastructure Management
- Applied Project Phase – Cloud Deployment & Automation
- Professional Portfolio Phase – Capstone Project & Career Readiness
Curriculum Overview
“Our curriculum blends foundational cloud computing concepts with advanced AWS skills and AI-assisted cloud management. Students gain hands-on experience in deploying, securing, and monitoring cloud environments using AWS services.
AI tools like AWS AI Services, ChatGPT for cloud scripting, and automated monitoring solutions are integrated to optimize performance, detect anomalies, and streamline workflows. By the end of the program, students will have a professional portfolio demonstrating cloud computing expertise.”
Curriculum Breakdown Summary
Cloud Computing Fundamentals
Objective: Understand the principles and architecture of cloud computing.
Topics & Skills:
Introduction to cloud computing models (IaaS, PaaS, SaaS)
Public, private, and hybrid cloud concepts
Cloud service providers overview with focus on AWS
Virtualization and containerization basics
AI in cloud computing overview
Hands-On Projects:
Set up a basic cloud environment
Explore AWS Management Console
Deploy a simple virtual server
AWS Core Services
Objective: Gain proficiency in key AWS services.
Topics & Skills:
EC2: compute resources and instance management
S3: storage management and data lifecycle
RDS & DynamoDB: relational and NoSQL databases
IAM: security and access control
- Lambda: serverless computing basics
AI-assisted resource management
Hands-On Projects:
Launch EC2 instances and configure security groups
Create and manage S3 buckets
Deploy a database in RDS and DynamoDB
Automate tasks using AWS Lambda with AI guidance
Networking & Security in AWS
Objective: Secure cloud environments and manage network architecture.
Topics & Skills:
VPC, subnets, and routing
Security groups and firewall configuration
Identity and Access Management (IAM)
Data encryption and secure storage
AI-assisted monitoring for security threats
Hands-On Projects:
Design a secure VPC network
Implement encryption for data storage
Monitor network traffic and detect anomalies using
Networking & Security in AWS
Objective: Secure cloud environments and manage network architecture.
Topics & Skills:
VPC, subnets, and routing
Security groups and firewall configuration
Identity and Access Management (IAM)
Data encryption and secure storage
AI-assisted monitoring for security threats
Hands-On Projects:
Design a secure VPC network
Implement encryption for data storage
Monitor network traffic and detect anomalies using AI
DevOps & Automation
Objective: Automate deployment and management of cloud infrastructure.
Topics & Skills:
Infrastructure as Code (IaC) with AWS CloudFormation
Continuous Integration / Continuous Deployment (CI/CD) pipelines
Docker and container deployment in AWS
AI-assisted automation and workflow optimization
Hands-On Projects:
Automate deployment of web applications
Configure CI/CD pipelines for automated updates
Deploy containerized applications on AWS with AI optimization
Cloud Monitoring & Performance Optimization
Objective: Ensure scalability, performance, and reliability of cloud resources.
Topics & Skills:
CloudWatch & CloudTrail monitoring
Auto-scaling and load balancing
Performance tuning and cost optimization
AI-assisted predictive monitoring and anomaly detection
Hands-On Projects:
Monitor cloud resources and set alerts
Implement auto-scaling for an application
Use AI tools to optimize resource usage and costs
AI Integration in Cloud Computing
Objective: Leverage AI to enhance cloud management and efficiency.
Topics & Skills:
AWS AI Services: SageMaker, Comprehend, Rekognition
Predictive analytics and AI-driven insights
Automating tasks and monitoring using AI
AI for resource optimization and troubleshooting
Hands-On Projects:
Build a predictive model using AWS SageMaker
Automate cloud tasks with AI-assisted scripts
Implement AI-driven alerts for cloud resource anomalies
Capstone Project & Portfolio Development
Objective: Apply all skills to design, deploy, and manage a complete cloud solution.
Capstone Project Components:
Design and deploy a multi-tier application on AWS
Integrate databases, compute, storage, and networking
Implement security best practices and monitoring
Apply AI tools for automation, analytics, and optimization
Compile a professional cloud computing portfolio
Skills Developed:
End-to-end cloud deployment and management
Security and performance optimization
AI-augmented monitoring and automation
Project management and professional presentation
Freelance readiness and career preparation
Program Outcomes
By the end of the program, students will:
Be proficient in AWS core services, networking, and security
Deploy and manage scalable, secure, and cost-efficient cloud solutions
Integrate AI tools for automation, monitoring, and optimization
Build a professional portfolio showcasing cloud computing projects
Be ready for employment, freelancing, or cloud consulting careers
Certification
Upon successful completion of the program, students will receive:
HighUpWeb Academy Professional Certificate in Cloud Computing (AWS)
Recognized by the Ministry of Employment and Vocational Training
Validates technical competence and professional readiness
Optional Online Certifications:
AWS Certified Solutions Architect – Associate
AWS Certified Cloud Practitioner
AWS Certified Developer – Associate
LinkedIn Learning / Coursera AI in Cloud Computing courses
Programs Cost
Our program fees are designed to be transparent, competitive, and accessible for learners from all backgrounds, covering tuition, registration, and essential learning resources to ensure high-quality, hands-on training. We offer exclusive benefits, including Free Driving Lessons for all students and a course bundle discount, register for two courses and pay registration for only one, saving over 25,000 XAF.
For learners who are IDPs or cannot afford the fees, you can apply for a fully funded scholarship via the HighUpWeb Foundation website, and our team will review your application and guide you through the next steps. With modern facilities, expert instructors, and industry-aligned programs, we ensure that your investment in education is meaningful, practical, and future-focused.
| Program | Registration | Tuition | Total |
|---|---|---|---|
| Web Development | 25000 FCFA | 100,000 FCFA | 125,000 FCFA |
Requirements and Deadlines
At HighUpWeb Academy, we welcome all aspiring tech learners, regardless of prior IT experience or academic certificates. Our 3- to 4-month programs are specifically designed to take beginners from foundational concepts to advanced proficiency in their chosen field of study.
We offer training in both English and French, and our bilingual instructors ensure that all students, regardless of their primary language, attend the same integrated classes. This approach not only fosters collaboration and cultural exchange but also gives students the unique opportunity to learn or improve their second language, French for English speakers, and English for French speakers, while mastering their technical skills.
Registration is open to anyone eager to learn, and our inclusive, hands-on programs are structured to prepare every student for real-world digital careers and professional success.
Apply Now
Join HighUpWeb Academy and take the first step toward building practical skills and advancing your career.