# Next Billion Lab — Full Site Content > The GCC's applied AI institution — where professionals, leaders, and Emirati nationals don't just learn AI. They build with it, deploy it, and prove it with results. ## About Next Billion Lab Next Billion Lab (NBL) is a UAE-based applied AI education institution founded in 2026. Our core commitment: "Nothing is considered learned until it is launched." Every NBL learner submits a launch artifact as their final assessment. Completion certificates require deployed work — not just attendance. Mission: "The next billion dollars of economic value. Built by the people we train." Website: https://nextbillionlab.ai Email: hello@nextbillionlab.com Location: UAE --- ## Programs & Products ### HumanApplied.AI Certification URL: https://nextbillionlab.ai/certifications Duration: 6 weeks · Live faculty · Hybrid Credential: HumanApplied.AI Certificate Six weeks. Live faculty. Something deployed. A score that proves it. You don't pass an exam — you ship a product. Curriculum: - Week 1: AI & the Future — Map the Disruption. Speed Audit, War Room, Futures Workshop. - Week 2: The Human Advantage — Stress-Test Your Judgement. AI vs Human Decision Challenge, Red Team Exercise, AI Decision Matrix. - Week 3: AI & Business — Build the Case, Kill the Hype. Vendor Teardown, ROI War Game, Data Reality Check. - Week 4: Build Week — From Brief to Working Prototype. Build Sprint, Live Demo Round. - Week 5: Scale & Ethics — Govern What You've Built. Governance Fire Drill, Ethics Tribunal. - Week 6: Demo Day — Launch or Die Trying. Final deployment. Present to investors, mentors, corporate partners. ### The Lab URL: https://nextbillionlab.ai/lab Tagline: The training is the building. The building is the proof. Bring a real problem. Leave with something deployed. The Lab works for organisations training teams, solopreneurs turning domain expertise into products, and individuals who are ready to build. Phases: 1. Discovery (1–2 weeks): Map your problem against what AI can realistically solve. 2. Custom Curriculum (1 week): Built entirely around your problem, sector, tools, and data. 3. Build Sprint (4–8 weeks): Build with embedded NBL mentors. Weekly demos and rapid iteration. 4. Deploy & Measure (2–4 weeks): Goes live. Every outcome measured. Deployed product + AIQ Score. Three doors: - For Organisations: Enterprise AI workforce transformation - LaunchStack for Solopreneurs: Solo founder AI build program - Women AI Accelerator: Women-led AI venture accelerator ### Lab for Organisations URL: https://nextbillionlab.ai/lab/organisations Custom AI workforce transformation for enterprises. Every participant ships a real AI solution inside your organisation. Manager-signed ROI reports. Custom curriculum built around your industry, data, tools, and strategic priorities. Differentiators: - Deployed, not just learned — every participant ships a real AI solution - Manager-signed outcomes — ROI reports co-signed by direct managers - Custom to your sector — no off-the-shelf content - Capability that stays — your teams own what they built, no vendor lock-in FAQs: Q: What size teams work best? A: Cohorts typically range from 10–40 participants. We can run multiple cohorts in parallel for larger organisations. Q: How long does a programme take? A: 8–16 weeks depending on scope, team size, and complexity. Q: Do our people need technical backgrounds? A: No. We design cohorts for mixed teams — business analysts, product managers, domain experts, and technical staff. Q: What data do we use? A: Your data. Every build uses real organisational data under your security and governance framework. Q: How do you measure ROI? A: Every deployed solution gets a manager-signed impact assessment measuring time saved, cost reduced, accuracy improved, or revenue impacted. Q: Can this align with government upskilling mandates? A: Yes. NBL programmes are designed to meet national talent development goals across the GCC. ### LaunchStack — For Solopreneurs URL: https://nextbillionlab.ai/lab/launchstack Duration: 6 weeks · 15–20 hours/week Turn your idea into a live AI-powered product. No co-founder needed. No code required. Phases: 1. Validate (Week 1): Stress-test your idea. Map data landscape. Define what "deployed" looks like. 2. Learn (Week 2): Targeted AI methodology — only what your build requires. 3. Build (Weeks 3–5): Three weeks of focused building with embedded mentors. Weekly demos. 4. Ship (Week 6): Deploy to real users. Measure performance. Calculate AIQ Score. Present at Demo Day. Benefits: Full build stack access, embedded 1:1 mentorship, peer cohort, demo day & investor access. FAQs: Q: Who is this for? A: Solopreneurs, independent consultants, and domain experts who see a problem worth solving with AI. Q: Do I need to code? A: Not necessarily. The programme covers the technical methodology, and our mentors help bridge gaps. Q: How many people per cohort? A: Small, focused cohorts — typically 8–12 solopreneurs. Q: What's the time commitment? A: 6 weeks, 15–20 hours per week. Q: What if my idea doesn't work? A: That's what Week 1 is for. We help you validate — or pivot — before you invest build time. Q: What happens after the programme? A: You keep everything you built. Alumni get ongoing access to the mentor network and peer community. ### Women AI Accelerator (WAIA) URL: https://nextbillionlab.ai/lab/women-ai-accelerator The Women AI Accelerator surfaces, trains, and scales the next generation of women AI leaders from MENA, India, Southeast Asia, and Latin America. Key stats: - 47% higher accuracy rates for women in complex prompt engineering tasks - 2.4× more likely to identify AI bias issues in pre-deployment testing - 61% of AI-powered process improvements in education and healthcare initiated by women leaders - 3× faster AI tool adoption rates in women-led teams Platform includes: WAIA Learn (university-credentialed programmes), WAIA Ventures ($100K investment, 3% equity, 90-day sprints), WAIA Enterprise (AI governance audits), WAIA Community (global network), WAIA Pipeline (from age 14), WAIA Intelligence (research and annual reports). ### AIQ Vault & Score URL: https://nextbillionlab.ai/aiq-vault-wallet Your AI work should never disappear. Now it never will. Every action you take — every deployment, credential, problem solved — builds one number: your AIQ Score. Score range: 200–1000 Tiers: Explorer (200–299), Builder (400–549), Maker (550–699), Architect (700–849), Sovereign (850–1000) 6 Dimensions: Build, Judge, Move, Create, Lead, Teach Verification tiers: Self-verified, AI-verified, Human-verified What you can vault: LinkedIn articles, Claude Code agents, podcasts, deployed products, organisational problems solved, published research, any AI win. Rewards: Programme credits, AI tool credits, exclusive event access, university programme access (including Cambridge), public recognition, advisory seats. ### AI Immersions URL: https://nextbillionlab.ai/partners/universities University-partnered on-campus AI experiences bringing applied AI education to leading institutions. --- ## Who We Serve ### For Professionals URL: https://nextbillionlab.ai/for-professionals Your career needs proof, not certificates. NBL makes you deploy real AI solutions then gives you public, verifiable proof. Profiles: Mid-career professionals, ambitious employees, founders & builders, career switchers. ### For Corporates URL: https://nextbillionlab.ai/for-corporates Enterprise AI workforce transformation with deployed solutions and measured ROI. ### For Government URL: https://nextbillionlab.ai/for-government National AI capability partnerships. Local talent development, women acceleration programs, and customised journeys. --- ## Mentors - Dr. Jojo O'Driscoll-Kearney — Dean of TEO Programs, Harvard Business Faculty, Executive Coach - George Benaroya — Faculty, New York University. NYU's highest-rated professor (5/5). Former VP Finance at P&G, Tetra Pak, Beiersdorf/Nivea. - Theodore Teng — Harvard University, Chemical & Physical Biology, Global Health Policy researcher at Harvard Medical School. - Matt Suescun — Harvard University, Statistics, NPR & NYT Featured Journalist. --- ## Key Stats - $23B: GenAI will generate $23B annually across the GCC (McKinsey GCC AI Survey 2025) - 36%: Only 36% believe their AI training was sufficient (BCG AI at Work 2025) - 1%: Only 1% of enterprises operate at AI maturity (McKinsey State of AI 2025) - 0: Zero shared GCC standard for measuring AI execution capability (IDC AI Skills Report 2025) --- ## Contact Email: hello@nextbillionlab.com Website: https://nextbillionlab.ai Location: UAE