AI Engineer Career Accelerator

From Graduate to Production-Ready AI Engineer

This accelerator converts Computer Science graduates / Fresh engineers into production-ready AI powered engineers, capable of designing, building, deploying, evaluating, securing, and defending real systems using AI in interviews.

Program starts: Friday, 14 August 2026

Schedule

17 weeks

34 sessions

Mondays 18:00 - 21:00

Fridays: 09:00 - 12:00

Format

Hybrid

Language

Arabic & English

Target Audience

Computer Science and Software Engineering graduates
Engineers seeking to transition into AI engineering roles
Graduates of related technical disciplines
Fresh engineers and junior software developers
Candidates with a solid programming foundation
Graduates who want practical experience beyond tutorials and academic projects

You should be comfortable programming in Python and able to commit significant weekly time to projects, assignments, and self-study.

Program Structure

Module 0: Kickoff & Project Setup (Week 1)

Focuses on Project reveal, teams, requirements engineering, PRD, repo + scrum setup
Key deliverables: Team contract + PRD v0.1

Module 1: AI Development with Claude Code (Weeks 2-4)

Focuses on Claude Code/Kiro end-to-end: CLAUDE.md, plan mode, tricks, subagents, Skills, hooks + backend/testing/CI through it; system design (HLD) + design review
Key deliverables: HLD v1.0 + LLM backend + Claude workflow pack

Module 2: GenAI & RAG (Weeks 5-8)

Focuses on GenAI terms, prompts, RAG (build + evaluate + harden), tool calling, documents
Key deliverables: Measurable RAG system

Module 3: Agents & MCP (Weeks 8-11)

Focuses on Agents, MCP servers, HITL/audit, red-teaming; leadership principles II
Key deliverables: Agent + MCP integration

Module 4: AWS Cloud Practitioner (Weeks 11-14)

Focuses on AWS Cloud Practitioner domains 1-4 + deploy the project to staging; production readiness
Key deliverables: Staging deploy + readiness review (+ optional CLF-C02 cert)