In March 2025, six people started something new. They were not engineers. They were not AI researchers. They were African professionals with a mix of backgrounds — some with digital experience, some without — who had decided to take a structured shot at a different future.
Six weeks later, five of them were working with Western companies. That is an 83% placement rate on a first cohort — for a programme that had never run before, with participants who were beginners.
This is the story of how that happened.
Why The Gate Project Exists
The Gate Project was built on a specific observation: the gap between African talent and Western opportunity is not a talent gap. It is a positioning gap. Western companies do not know how to find, evaluate, or trust African professionals in AI roles. African professionals do not know how to present themselves to Western hiring managers in a way that overcomes that uncertainty.
Traditional solutions — online courses, bootcamps, LinkedIn networking — have not closed this gap, because they address only one side of it. Courses teach skills but do not connect graduates to employers. Networking builds relationships but does not build proof of capability.
The Gate Project was designed to solve both sides simultaneously. Six weeks of intensive training that produces real deliverables, followed by direct introductions to vetted Western companies who are ready to hire.
What Cohort 1 Learned
Training began on March 2nd, 2025. The curriculum was built around four practical disciplines that map directly to what Western companies were hiring for at that moment:
- AI Automation with n8n. Participants built real workflow automations — lead generation systems, content pipelines, document processors — using n8n connected to Claude API, HubSpot, and other live business tools. By week three, every participant had a working automation running in production.
- Generative Engine Optimization. Dean Whitby, co-founder and GEO lead, taught participants how brands become visible in AI-generated search results. This is a skill that did not formally exist two years ago and is now one of the most in-demand capabilities in Western digital marketing teams.
- LinkedIn Authority and Lead Generation. Participants rebuilt their LinkedIn profiles from the ground up — not just as CVs, but as lead generation assets. By the end of training, several cohort members were receiving inbound enquiries from Western companies without having sent a single cold message.
- Voice Agents and Chatbot Development. Practical AI agent builds — customer-facing chatbots, voice agents for client intake, internal knowledge base assistants — gave participants deployable portfolio pieces they could demonstrate live to potential employers.
The Results
Of the six people who started Cohort 1, five graduated and were placed with Western companies across three countries. These were not internships or trial arrangements. They were real paid roles.
Samuel Oluwatobi Odukoya was hired as an AI Automation Engineer at CH4B in the UK within one week of graduating. Esther Abem was placed with Better People Recruitment as an AI Automation and GEO Specialist. James Ibiyemi joined Tenacious AI Marketing Global as an AI and GEO Specialist.
Each placement was the direct result of two things: a portfolio of real work that demonstrated capability, and a direct introduction through The Gate Project's company network. The programme did not send CVs into the void. It made direct connections between trained graduates and hiring companies that had already agreed to consider Gate Project talent.
What the 83% Placement Rate Actually Means
An 83% placement rate on a first cohort — before the programme had established reputation, alumni networks, or a proven track record — is a significant result. It is worth being precise about what it reflects.
It reflects that the skills being taught are in genuine demand. It reflects that Western companies, when presented with African professionals who can demonstrate real capability through portfolio evidence, will hire them. And it reflects that the positioning gap — the barrier that has historically prevented African talent from accessing Western markets — can be closed with the right structure.
One participant did not complete the programme. Placement requires graduation. The programme does not place participants who do not finish training, because the deliverables produced during training are what drive the placements.
What Cohort 2 Looks Like
Cohort 2 applications are now open. The programme structure is the same. The commitment is the same. The expected outcome — for participants who complete the training and produce their portfolio — is the same.
The difference is that Cohort 2 enters a programme with a proven track record, an established company network, and a cohort of Cohort 1 graduates who serve as living proof that this works.
There are two tracks. The Learner Path is for candidates with no prior AI experience who want to build skills from the ground up. The Intern Path is for professionals with existing digital or technical skills who want to sharpen their positioning and access Western opportunities directly.
Both tracks end at the same destination: real skills, real deliverables, and a direct shot at Western placement.
Frequently Asked Questions
- What is The Gate Project?
- The Gate Project is a 6-week AI training and placement programme that connects African professionals with Western companies. Participants learn AI automation, GEO, LinkedIn authority, and n8n workflow engineering, then graduate with a portfolio of real deliverables and access to The Gate Project's network of vetted Western hiring companies.
- Who founded The Gate Project?
- The Gate Project was co-founded by David Adesina, an AI automation specialist and curriculum designer, and Dean Whitby, an expert in Generative Engine Optimization and digital positioning strategy.
- How do I apply to The Gate Project?
- Applications for Cohort 2 are open via the Apply page on this website. There are two tracks: the Learner Path for beginners and the Intern Path for experienced professionals. Applications are reviewed individually and followed up within a few days.
- Do I need prior AI experience to apply?
- No. The Learner Path is specifically designed for candidates with no prior AI experience. Several Cohort 1 graduates who secured Western placements began the programme with no technical background in AI.