Specialised tracks
AI, cloud and cybersecurity. Pick one and go deep instead of wide.
Cohort 2 applications open
The future is hers to build.
TechQings is a playful, serious tech community for women worldwide, at any age. Seven weeks, one track, real projects, in AI, cloud or cybersecurity.
- Fully remote
- About 10 hrs / week
- Beginners welcome
FutureTech · Cohort 2
Learn with community. Build with purpose.
AI & ML
Cloud & DevOps
Cybersecurity
Format
7 weeks · Remote
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weeks of learning
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specialised tracks
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per week, flexibly
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remote, worldwide
Why TechQings
We bridge the gap between curiosity and career.
Most beginners are not short on ambition. They are short on a clear path, honest feedback and people who take them seriously. That is the whole point of this community.
AI-supported learning
Guided lessons plus hands-on practice, with feedback when you need it.
Career exposure
Workplace-style tasks and a portfolio that stands out internationally.
A real community
Mentors, peers and alumni who cheer for you and check on you.
The FutureTech Program
Pick your track. Tap to explore.
Every track is seven weeks, fully remote, project-based and AI-supported. You choose the one that fits your goals.
AI & ML7 weeks · beginner friendly
Artificial Intelligence & Machine Learning
Master the foundations of AI and build intelligent applications that solve real-world problems.
You'll practice
- Python and data basics
- Cleaning messy real-world data
- Training and evaluating a simple model
- Explaining results to non-technical people
Application scenario
A shop wants to predict late deliveries, but some spreadsheet entries are missing delivery dates. What would you want to understand before building a prediction?
You answer this in your own words. No jargon needed.
Apply for AI & ML You build: A small prediction project on a dataset you care about.
How the seven weeks feel
One step at a time. Keep scrolling.
Hands-on from week one, six weeks of learning and building, one week to polish and show it off. Exact dates are shared before you accept a place.
- W1
Week 1
Start building
Pick your track, set up your tools and ship your first practical task in the same week.
- W2
Week 2
Hands-on foundations
Guided lessons paired with labs. AI-supported feedback on every task.
- W3
Week 3
Real problems
Messy data, live systems, actual threats. Work that looks like the job.
- W4
Week 4
Capstone kick-off
Start your own project, scoped like real work, with mentor input.
- W5
Week 5
Build deeper
Keep learning while the project grows. Weekly mentor check-ins.
- W6
Week 6
Workplace simulation
A workplace-style task alongside your project, the way a team would run it.
- W7
Week 7
Polish & showcase
Finish, document and present your project to the community.
People in your corner
Mentors who actually reply.
Working engineers in cloud, security and AI who give a few hours a month to review your work and answer the questions you are scared to ask. These six carried Cohort 1; Cohort 2 mentors are being recruited now.
Good questions
Before you apply.
Still unsure? Ask in the Slack community, message us on WhatsApp or email admin@realalma.com.
Who can apply?
Women of any age, in any country. Beginners are welcome; honest answers matter more than polished writing.
How much time does it take?
Plan for about 10 hours a week across seven weeks, at times that work for you. Learning is fully remote.
What do I need?
A laptop or desktop for labs and a reasonably stable internet connection. If access is a challenge, tell us in the application.
Does it cost anything?
The application is free. Any program details, dates and expectations are shared before you accept a place.
When does Cohort 2 start?
Dates are still to be announced. Apply now and we will contact you by email before you need to commit.
Does applying guarantee a place?
No. Applications are reviewed, and joining the community does not confirm admission.
Your seat in Cohort 2 is waiting.
Ten to fifteen minutes to apply. Dates shared before you commit. Applying does not guarantee admission, but not applying guarantees nothing.