Eastech, Technology for Change

Eastech, East Jerusalem

Become an AI engineerin 18 weeks.

Build a professional website and a team product in East Jerusalem, with AI reviewing your work at every major challenge. Press play to follow the rocket from station to station, or ask the map what you will learn.

Apply for Cohort 01See all 36 sessions

Launch event Sunday 22 Nov 2026. Classes meet Tuesdays at 6 PM and Saturdays at 11 AM.

    Keyword match over all 36 sessions. Click a point to open that session.

    Your 36 sessions, from launch to Demo Day

    Pick a module or a session and the route above lights it up. Diamonds mark challenges and milestones.

    Launch and project setup

    Sessions 1 to 2, 24 Nov to 28 Nov 2026. 2 sessions, 6 live hours.

    Kickoff, the AI team-ranking system, balanced teams, requirements, repos and two project backlogs.

    You finish with

    Team assignments, two PRDs and two backlogs

    Tuesday 24 Nov 2026, 6:00 PM to 9:00 PM

    Session 1

    Kickoff and AI team-ranking system

    Three hours, live

    Use the arrow keys on the bars to move between sessions.
    36sessions
    Tuesdays at 6 PM and Saturdays at 11 AM, three hours each.
    108teaching hours
    Live, with instructors and AI-reviewed challenges.
    60office hours
    Outside the timetable, with at least two hours a week of 1:1 consultations.
    2projects
    A personal website and a group product, built in parallel.

    You build two projects, side by side.

    Both follow the same quality gates, from requirements to a secure AWS deployment.

    Your professional website

    A responsive portfolio with About, Projects, CV and contact pages, accessible and optimized for search. It has at least one useful AI feature, and it proves your engineering ability to employers.

    • Tests, CI and a secure AWS deployment
    • Monitoring, a monthly cost estimate and a demo recording
    • A three-minute pitch at Demo Day

    A group product for a real problem

    The organizer defines the product. In Session 1, AI proposes balanced teams of 4 to 6 from your skills, interests, availability and role preferences. The organizer reviews every team before it is final.

    • PRD, high-level design, backlog and shared development harness
    • Measured RAG, a controlled agent and staging on AWS
    • An end-to-end demo and a handover package

    We check your CV against your code.

    Every claim on your CV is compared with your GitHub, your answers and your video. Pick a line to see what the review does with it.

    Layla N.

    Example applicant, invented for this page

    Projects

    Skills

    Found in the code

    Checked against GitHub

    Repo receipt-reader: 214 commits over 9 weeks, tests in /tests, last push 6 days ago. Matches the claim.

    The AI never rejects anyone for something it cannot see. Unverified claims become questions for a human to ask.

    Graded on what you ship.

    Marks reward engineering evidence and the ability to explain your decisions. AI scores the evidence against a published rubric. Instructors review borderline results and final outcomes.

    • Product value, architecture, RAG and agent quality, operations and handover, plus your own contribution log.

    The tools you work with.

    Build
    • Kiro
    • Claude Code
    • Claude Agent SDK
    • GitHub Actions
    • Playwright
    • Context7
    Connect and evaluate
    • Model Context Protocol
    • Langfuse
    • OWASP Top 10 for LLM apps
    Deploy
    • Amazon Bedrock
    • Lambda
    • ECS
    • S3 and CloudFront
    • DynamoDB
    • CloudWatch

    The AWS sessions follow the scope of the AWS Certified Cloud Practitioner exam, and reinforce the AWS AI Practitioner topics.

    Mohammad Kabajah, lead instructor
    Mohammad KabajahLead Instructor, Eastech

    Go beyond tutorials.Become industry-ready.

    Build, ship and defend real AI systems in a hands-on cohort, led by an engineer who builds AI infrastructure every day.

    Today
    Senior AI and Cloud Infrastructure Architect at AWS (Annapurna Labs), eight years at AWS
    Before
    Built products at NVIDIA and Cisco, and with dozens of startups
    Study
    MSc in Artificial Intelligence, University of Liverpool
    Also
    Career coaching and helping young engineers into their first AI roles

    Apply for Cohort 01.

    Classes meet Tuesdays at 6 PM and Saturdays at 11 AM, from 24 Nov 2026 to Demo Day on 27 Mar 2027.

    Start your application

    About 35 minutes. No account needed.

    Have these ready

    • Your GitHub, your CV as a PDF and a link to one project you built
    • A short English bio
    • Three short essays, about 150 to 250 words each
    • A 60 to 120 second video introducing yourself