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Next cohort starts 25 September 2026Enrolment closes 1 October 2026Limited seats

KLYMB.AI

Career tracks

Choose the role you want next.

Every track follows the same 30-day structure with problems, assessments and interview preparation specific to that role.

  • 01Enrolling now

    QA Engineer

    Heading to: AI Test Architect

    Testing, automation, defect analysis, API testing and AI-assisted QA.

    Skills covered

    • Test design
    • Playwright automation
    • Defect analysis
    • API testing
    • CI pipelines
    • AI-assisted testing
    • Testing AI features
    Explore This Track: QA Engineer
  • 02Enrolling now

    L1/L2 Support

    Heading to: Conversational AI Operations Specialist

    Troubleshooting, ticket handling, incident response, escalation and customer communication.

    Skills covered

    • Troubleshooting
    • Ticket handling
    • Incident response
    • Escalation
    • Customer communication
    • Knowledge base writing
    • AI assistant operations
    Explore This Track: L1/L2 Support
  • 03Enrolling now

    Project Manager

    Heading to: AI Delivery Lead

    Planning, requirements, execution, risk management, stakeholder communication and reporting.

    Skills covered

    • Planning
    • Requirements
    • Agile and Scrum
    • Risk management
    • Stakeholder communication
    • Status reporting
    • AI-assisted delivery
    Explore This Track: Project Manager
  • 04Enrolling now

    Junior Developer

    Heading to: AI Engineering Associate

    Programming fundamentals, debugging, APIs, Git, frontend/backend basics and code quality.

    Skills covered

    • JavaScript/TypeScript fundamentals
    • Debugging
    • REST APIs
    • Git and pull requests
    • Frontend and backend basics
    • Code review
    • Working with AI coding assistants
    Explore This Track: Junior Developer
  • 05Enrolling now

    Reporting Analyst

    Heading to: Analytics Automation Lead

    Excel or spreadsheet analysis, SQL basics, dashboards, data interpretation and business reporting.

    Skills covered

    • Spreadsheet analysis
    • SQL basics
    • Dashboards
    • Data cleaning
    • Data interpretation
    • Business reporting
    • AI-assisted analytics
    Explore This Track: Reporting Analyst

  • Not sure which track?

    Pick the role closest to the work you already do. Your existing experience carries over.

Compare tracks

TrackHeading toWeek 1 focusProjects
QA EngineerAI Test ArchitectThe new test stackPlaywright + API test suite for a demo e-commerce app, running in CI; Eval set and quality report for an AI chatbot feature
L1/L2 SupportConversational AI Operations SpecialistThe automated queueSupport playbook: knowledge articles, escalation matrix and incident templates; AI assistant flow design with evaluation of real transcripts
Project ManagerAI Delivery LeadDelivery foundationsEnd-to-end project plan: charter, backlog, timeline, risk register and status reports; Case study of an AI-assisted delivery process
Junior DeveloperAI Engineering AssociateFundamentals that still matterFull-stack app with API, tests and CI, deployed; Documented review of AI-generated code with fixes
Reporting AnalystAnalytics Automation LeadSpreadsheet and data foundationsKPI dashboard built on cleaned data with SQL queries; Automated monthly report with metric definitions and data-quality checks