Start a new career with Vera.
Upskill. Build real projects. Get experience.
No coding experience required. Most learners should plan for 10 to 12 weeks per lab, depending on the lab and their starting point. You work through realistic business challenges and produce evidence of your decisions. Vera reviews your work like a stakeholder would. You leave with verified deliverables and skills employers are hiring for, not just a certificate.
This isn't a bootcamp or a course. It's a digital residency.
Where learners have interviewed
Based on anonymised candidate records. Company names do not imply affiliation or endorsement.
What you leave with
Get a free portfolio. Earn a certificate with a paid lab.
Publish your work and share the link with employers. Add your own write-ups, link back to your CV, and send employers straight to the work that proves you can do the job. No subscription required. No hidden gate. What you build is yours to show.

Maya Okafor
Operations and governance practitioner
Projects
Case studies
Compliance & AI Governance
AI Vendor Risk Assessment
Built a vendor risk assessment framework aligned to the EU AI Act, covering data governance, bias monitoring, and incident response.
Legal Technology
Contract Review Workflow
Designed an automated contract review workflow with clause extraction, obligation tracking, and compliance checkpoints.
Your portfolio is free to publish and share, even without a paid lab.
Certificate of completion
This certifies that
Maya Okafor
has completed reviewed work in Health Informatics & Health Tech
Founder
What the record shows
The brief, submitted work, Vera feedback, and revision history stay together in one shareable portfolio.
Job-ready skills employers hire for.
Move from learning concepts to practical work. Each lab takes you through realistic decisions, builds transferable skills, and gives you module tasks, Vera feedback, and a reviewed business challenge to discuss.
Legal Technology
Move from legal process knowledge to defensible AI delivery. Build contract review, legal data, governance, and client-facing workflow evidence you can explain in an interview.
Compliance & AI Governance
Move from knowing the rules to operating the controls. Build risk assessments, policies, audit evidence, and governance decisions that stand up to scrutiny.
Health Informatics & Health Tech
Move from healthcare data awareness to useful, safe informatics work. Map information flows, interpret operational data, and document controls for responsible AI use.
AI Workflow Automation
Move from repetitive manual work to reliable automation. Find the right process, design the workflow, test the edge cases, and document work someone else can inspect and improve.
AI Strategy & Operations
Move from shipping AI to running it responsibly. Build monitoring plans, incident runbooks, cost controls, and delivery decisions for systems that need to keep working.
AI Product Management
Move from AI ideas to product decisions that survive contact with users and the business. Frame the problem, define the feature, test the evidence, and make the case for what to build next.
Agentic Full-Stack Architecture
Move from directing AI-generated code to owning the system around it. Set architecture, enforce security, orchestrate agents, and produce a reviewable delivery plan.
Marketing Technology
Connect lifecycle systems, governed CRM data, campaign controls, measurement, and revenue handoffs.
Simulated work experience, with a visible standard.
You step into the role. Vera acts as your lead: assigning scenarios, reviewing deliverables, pushing you to iterate. The standard is visible: explain the decision, show the evidence, name the failure path, and make the human boundary clear. You produce artifacts an AI Strategy & Operations professional, Legal AI Specialist, or Compliance Analyst would recognise.
Get a scenario
A realistic situation lands on your desk: vendor risk assessment, onboarding automation, contract review workflow. Same ambiguity, same stakes.
Work on challenges that build job-ready judgment
Map the system, design the workflow, write the assessment, and build the pipeline plan. Vera reviews the stated criteria, flags gaps, and helps you decide what to strengthen.
Complete reviewed work
Finish practical module tasks, use Vera feedback to improve your decisions, and generate a business challenge when the required learning is complete.
Documented recruitment progress
Practical support that carries into real career conversations.
Focus area
Experience story and role fit
Practice prompt
Walk me through a project where you brought structure to a messy problem.
Built from years of practice
From direction to practical progress.
For years, we have helped students and professionals find direction, strengthen applications, and build work that stands out in interviews. That experience shapes how our digital residency helps you build practical work, make decisions, and explain your approach.
Build reviewable work
Work through realistic briefs and produce artifacts that show the problem, scope, decisions, tests, risks, and operating assumptions.
Run small experiments
Change an assumption, test an edge case, and use the result to improve what you build.
Make the evidence visible
Publish the work, review history, and demonstrated skills so a reader can inspect what you built without relying on a course claim.
Get structured feedback from Vera
Vera reviews the reasoning and evidence, not just the finished screen. You see what is missing and improve it before you present it.
What makes this different
You build a business challenge tied to a realistic scenario, not a toy example. You submit your work and Vera reviews it against the same criteria employers care about. You get specific feedback on what is missing and what needs improvement. You fix those gaps and resubmit. Each cycle makes your work stronger and gives you something concrete to show. That is how you leave with evidence, not just knowledge.
"Learn Python in 30 days. Complete 3 portfolio projects. Apply for junior developer roles."
Tools can now generate parts of code, research, and documentation. The useful skill is learning how to assess the output, make decisions, and improve the work.
Business challenges, not lectures
You work through a practical scenario and document the decisions you make.
Guidance as you build
Vera uses the complete lab and project context to clarify the brief, explain feedback, and help you decide what to improve next.
Portfolio evidence over certificates
Business challenges give you a structured record of the work you have practised, the decisions behind it, Vera feedback, and your revisions.
No coding required in most labs
The AI Product Management and compliance tracks require zero code. The Agentic Full-Stack Architecture lab assumes some technical familiarity and focuses on directing AI to write the code, not typing it yourself. Knowing how to plan, design, and make good decisions about architecture are what last.
Anonymised feedback
What people shared
Stories from professionals who built skills they can actually show.

Nora O.
"I just finished the interview. We ended up talking for an hour."

Maya T.
"He said he was impressed with my GitHub. That was why he reached out."

Evelyn E.
"Thank you for your email. I would be happy to complete the technical exercise."

"I had been applying for AI governance roles but did not have any work samples to discuss. Vera helped me turn that gap into something concrete. I finished with a vendor risk framework and a DPIA template that gave me something specific to walk through in interviews."
Built AI governance portfolio

"Our onboarding process was still being managed across spreadsheets, email threads, and handovers. Vera helped me break the workflow down, redesign it properly, and revise the project until it was usable. It became a piece of work I could show internally, not just describe."
Redesigned onboarding workflow

"I wanted to move closer to legal tech but did not know what that looked like in practice. I enrolled in the Legal AI lab to build something more relevant to that direction. I ended up with a contract review tool spec and prompt notes I could actually discuss with people at my firm."
Built legal tech project evidence

"I had product experience already, but I was not explaining my process clearly. Vera kept pushing me to write the brief, map the flow, and define what success looked like. That structure made it much easier to talk through my decisions when interviews got more detailed."
Explained product thinking more clearly
Composite testimonials based on anonymised learner records and real support conversations.
How this is different
Less passive learning. More work you can actually show.
Passive learning
Easy to start. Harder to use as proof.
- Watch lessons without building much
- Finish with notes, not work samples
- Get little feedback on your actual decisions
Projects with Vera
Clarify. Review. Revise. Defend.
- Ask Vera about the brief and your evidence
- Get feedback tied to deliverables and quality indicators
- Respond, revise, and keep the full history
- Defend the finished work for your certificate
Common Questions
Everything you need to know about project-based learning with Vera.
Ready to build skills employers hire for?
Choose a lab, work through practical projects, and build your experience. Free to start.