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September 2024 – August 2025 · Completed · AI-powered

DTTP 2.0

Two AI-native cohorts. 82% interview rate. 192 jobs tracked within 12 months.

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290
Participants trained
192
Completions
32
Employer partners
82%
Interview rate
Overview

The first AI-native DTTP cohort.

DTTP 2.0 ran from September 2024 to August 2025 across two cohorts: AI Product Management (Jan to Mar 2025) and No-Code & Web Development (May to Aug 2025). It was WIL's first fully AI-powered program. Every participant used AI tools for learning, portfolio work, and job search. 290 participants, 192 completions, 82% interview rate, 49% women, and 94% inclusive cohort participation.

AI Product ManagementNo-Code & Web Development
The AI innovation

82% interview rate.

The industry baseline interview rate for tech job seekers is 2 to 5 percent. DTTP 2.0 participants hit 82%. The mechanism was pairing the five-phase framework with AI tools across the whole job search. Not a chatbot bolted onto a bootcamp.

  • AI-optimised resumes, LinkedIn profiles, and portfolios shipped before the first application
  • Mock interviews with real-time AI feedback on content, delivery, and confidence
  • AI matching applications to real openings at WIL employer partners
  • 12-month outcome tracking against employer records
  • Result: 82% interview rate (16 to 40 times the 2 to 5 percent baseline)
Program stats

DTTP 2.0 by the numbers.

290
Participants trained
192
Completions
32
Employer partners
82%
Interview rate
vs. 2–5% industry baseline (16–40× improvement)
49%
Women participants
Phase-by-phase

How the cohort ran.

The same five-phase framework as DTTP 1.0. AI added to every phase.

  1. 1

    Targeted recruitment & assessment

    4 weeks

    Community outreach with explicit equity targets, structured readiness assessment, and AI-assisted track placement.

    Key activities
    • Outreach through inclusive community networks
    • Structured assessment and interviews
    • Track placement across AI Product Management and No-Code & Web Development
    Women
    49%
    Inclusive participation
    94%
  2. 2

    AI-powered cohort training

    12–16 weeks

    AI-augmented curriculum across the AI Product Management and No-Code & Web Development cohorts. Every participant learned with and built with AI.

    Key activities
    • AI Product Management and No-Code & Web Development tracks
    • AI-assisted practice, feedback, and code review
    • Weekly employer talks and critiques
    Participants trained
    290
    Completions
    192
  3. 3

    Mentorship & community

    Throughout program

    Industry mentors, peer cohort community, and alumni network. The human layer around the AI tooling.

    Key activities
    • 1:1 mentor pairings
    • Weekly coaching
    • Alumni network access
    Attendance
    87–94%
  4. 4

    Work-integrated learning

    4–12 weeks

    Employer-sponsored capstones and hackathons with judged deliverables. 160+ projects shipped across DTTP 1.0 and 2.0 combined.

    Key activities
    • Employer-sponsored projects
    • Hackathons with judged deliverables
    • Portfolio and case-study writing
    Hackathon projects
    160+
    Employer partners
    32
  5. 5

    AI-powered job placement

    Up to 12 months post-program

    AI resume and interview tooling produced an 82% interview rate (against a 2 to 5 percent industry baseline) and 192 jobs tracked within 12 months.

    Key activities
    • AI resume and profile tooling
    • AI-coached mock interviews
    • Targeted employer introductions
    • 12-month outcome tracking (verification ongoing)
    Interview rate
    82%
    Jobs tracked
    192
    Improvement
    16–40x
Outcomes

What DTTP 2.0 delivered.

82% interview rate

Participants using WIL's AI tooling got interviews at 16 to 40 times the 2 to 5 percent industry baseline.

192 jobs tracked

Placements are tracked for 12 months post-graduation against employer records; outcome verification with partners is ongoing.

49% women

DTTP 2.0 is one of the most gender-balanced AI cohorts in Canada. That is the result of how we recruit, not an accident.

160+ hackathon projects

Real, shipped AI products, judged by employer partners and added to every participant's portfolio.

Employer partners

32 employers hiring DTTP 2.0 graduates.

Neo FinancialCritical MassUniversity of Toronto+ 29 more

Scale the model with us.

DTTP 2.0 proved that AI-native workforce development delivers 16–40x the industry baseline interview rate. Partner with WIL to replicate it.