Production AI Systems & Hiring Conversion Program
Transforming Computer Science graduates and junior engineers into production-ready AI engineers capable of designing, building, deploying, evaluating, securing, and defending production AI systems.
Graduates become interview-ready AI engineers with a production portfolio and real-world AI engineering experience.
Schedule
Start Date: September 19
Days: Sundays, Tuesdays, and Thursdays.
Time: 17:00-21:00
Format
In-person / online (customizable per organization)
Language
Arabic & English
Target Audience
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Computer Science and Software Engineering students (3rd year and above)
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Technical graduates preparing for industry
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Junior developers in need of backend/cloud upskilling
Tools & Technologies
Frameworks
Spring
Languages
Java 8+ ,Groovy
Project Platforms
Distributed event streaming platform, Feign (Spring Cloud), RestTemplate, Docking and Containerization, Micro-services, Deployment , Helm-Chart , CI/CD
Concepts Covered
Application Development, Design Patterns, Applications, Communication, Large Scale, Lot of traffic, Concurrency, Performance, High Availability
Curriculum Highlights
Software Development Foundations
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Version Control with Git
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Introduction to Java programming
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Object-Oriented Programming (OOP)
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Exceptions, Collections, Generics
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Streams & Multithreading
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Java 8 Features & Design Patterns
System Architecture & Web Services
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Introduction to Linux
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Remote Procedure Call (RPC)
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Monolithic vs. Microservices Architecture
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Application Servers & Containers
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Web Services & REST APIs
Databases & Data Access
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SQL (MySQL) & NoSQL (MongoDB)
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Spring Data JPA & Spring REST Data
Microservices Development with Spring
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Spring Core, AOP, Beans
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Spring Boot Framework
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Spring Web, Test, and Security (JWT)
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Spring Cloud & Spring Stream
Deployment & Cloud-Native Infrastructure
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Docker: Containers, Images, Dockerfile
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Kubernetes: Workloads, Objects, Storage
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CI/CD: Jenkins Pipelines & Automation
Tools & Technologies
Java 8+
Docker
IntelliJ
Minikube
GitHub
Jenkins
Postman
Swagger
MySQL
Spring Framework
MongoDB
Kubernetes
Kafka
Deliverables & Inclusions
Access to all recorded sessions
Digital learning materials and tools
Individual mentoring and team project guidance
Completion certificate (upon evaluation)
Optional LinkedIn review and portfolio support
Practice assignments and code reviews
Final project with technical evaluation
COMMITMENT FEE
Our programs are fully subsidized. In order to ensure commitment a fee is charged.
SUPPORTED BY
PARTNERS
CONTACT
We’d love to hear from you! Whether you have a question, feedback, or just want to say hello, don’t hesitate to reach out!
Reach us at