First cohort: Data Analytics. Founding learners save 20%. Join the waitlist

blageTech Labs
Tracks and pricing

Five tracks. Each one ends with proof you can do the job.

Every track is taught live in a cohort, takes about 12 hours a week, and ends with a project you defend aloud. One price covers everything.

Data Analytics Data Science AI Engineering Backend Development Data Engineering
Your week on any track

About 12 hours, split four ways.

3 hours liveClasses with your instructor and cohort
3 hours lessonsShort recorded lessons and notes
4 hours labsHands-on work in the browser
2 hours reviewFeedback, revision and the AI tutor

Weeks with a milestone project take about 14 hours. The final project week takes about 16.

Naira prices are for learners in Nigeria and include VAT.

First cohort12 weeks

Data Analytics

Learn to answer business questions with data, from a messy spreadsheet to a dashboard and a clear recommendation.

₦350,000
Founding learners pay ₦280,000
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Who it is for

Beginners, career switchers, and people in business, finance or operations roles.

What you need

No experience. Basic computer skills and school-level maths.

What you will learn
  • Weeks 1 to 2Spreadsheets, data cleaning and business metrics
  • Weeks 3 to 5Databases and advanced SQL
  • Weeks 6 to 8Python for data analysis
  • Weeks 9 to 10Data modelling and dashboards
  • Weeks 11 to 12Data storytelling and your final project
You finish with

A complete analytics project in your portfolio, defended aloud, and a Blage credential.

Roles it prepares you for

Data analyst, business intelligence analyst, reporting analyst.

Waitlist16 weeks

Data Science

Go from clean data to a predictive model that is tested, explained and running as a service.

₦450,000
Payable in two instalments
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Who it is for

People moving into machine learning, with or without an analytics background.

What you need

Comfort with numbers. Data Analytics graduates can skip the first three weeks.

What you will learn
  • Weeks 1 to 4Python, pandas, SQL and exploring data
  • Weeks 5 to 7Applied statistics and experiments
  • Weeks 8 to 10Supervised machine learning
  • Weeks 11 to 12Unsupervised learning and feature engineering
  • Weeks 13 to 14Deep learning and language basics
  • Weeks 15 to 16Putting models into production, and your final project
You finish with

A trained model served as a working application, defended aloud, and a Blage credential.

Roles it prepares you for

Junior data scientist, machine learning analyst.

Waitlist16 weeks

AI Engineering

Build AI products that hold up in production: applications on language models, search over your own documents, and agents.

₦550,000
Payable in two instalments
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Who it is for

Software engineers, AI developers, and founders building AI products.

What you need

Working Python, the basics of web APIs, and git. You do not need to pay for any AI service.

What you will learn
  • Weeks 1 to 4Language model foundations, structured output and prompt security
  • Weeks 5 to 8Production retrieval systems (RAG)
  • Weeks 9 to 12Agents, tools and multi-step research
  • Weeks 13 to 14Open models: fine-tuning, serving and benchmarking
  • Weeks 15 to 16Running AI in production, security, and your final project
You finish with

A production-grade AI application, defended aloud, and a Blage credential.

Roles it prepares you for

AI engineer, LLM application developer.

Waitlist16 weeks

Backend Development

Design and run the services behind real products: secure, tested, and ready for the cloud.

₦450,000
Payable in two instalments
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Who it is for

Junior developers and career switchers aiming for backend roles.

What you need

Python fundamentals and git.

What you will learn
  • Weeks 1 to 4Clean architecture, design patterns and asynchronous Python
  • Weeks 5 to 8REST and GraphQL APIs, login and permissions
  • Weeks 9 to 11Database engineering: indexing, transactions and caching
  • Weeks 12 to 14Background jobs, webhooks and containers
  • Weeks 15 to 16Delivery, monitoring, and your final project
You finish with

A working payment-gateway service, defended aloud, and a Blage credential.

Roles it prepares you for

Backend developer, API engineer.

Waitlist16 weeks

Data Engineering

Build the pipelines that feed analytics and AI, and keep the data in them correct.

₦500,000
Payable in two instalments
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Who it is for

Developers and analysts who want to build and run data pipelines.

What you need

Python fundamentals, SQL and git.

What you will learn
  • Weeks 1 to 4Loading and storing data: Python pipelines and database types
  • Weeks 5 to 8Transforming and scheduling data, with agreed data contracts
  • Weeks 9 to 12Processing large datasets and lakehouse tables
  • Weeks 13 to 16Streaming, data quality, governance, and your final project
You finish with

An end-to-end data pipeline, defended aloud, and a Blage credential.

Roles it prepares you for

Data engineer, analytics engineer.

Included in every track

One price. Nothing extra to buy.

01

Live teaching

Weekly classes with an instructor and teaching assistants.

02

AI tutor

Help at any hour that guides you to the answer.

03

Practice labs

Code, databases and tools in your browser. No software to buy.

04

Graded projects

Detailed feedback on every milestone, with a right to appeal.

05

Oral defense

A spoken exam on your project, plus mock interviews for practice.

06

Credential

Issued when you meet the criteria, with a link employers can check.

07

Career support

Help with your portfolio and interview preparation.

08

Access afterwards

Three months of full access, then nine months of limited access.

Paying for a track

Three ways to make the price manageable.

Founding learner price

The first Data Analytics cohort is 20% off: ₦280,000 or $360. We ask for honest feedback in return.

  • Two instalments

    Split the price into two equal payments instead of paying everything up front.

  • Scholarships

    Part of every cohort's income goes into a scholarship fund for learners who could not join otherwise. Tell us on the form if you want to be considered.

  • Employer sponsorship

    Your employer can pay for your seat or enrol a team. Options for businesses

How to join

Four steps from here to your first class.

01

Join the waitlist

Free, and no commitment to pay.

02

Get your invitation

We email the start date, schedule and terms when applications open.

03

Reserve your seat

Pay in full, or pay the first instalment.

04

Start learning

A short assessment sets your level, then classes begin.

Questions

Before you apply.

I have never written code. Can I join?

Yes. Data Analytics is built for beginners and needs only basic computer skills and school-level maths. The other tracks expect some Python, as listed under each one.

Can I do this while working full time?

The tracks are planned at about 12 hours a week, including 3 hours of live classes. We send the class schedule with your invitation so you can check it fits before you pay.

What equipment do I need?

A laptop and an internet connection. All the practice tools run in your browser, so there is no software to install or buy.

What do I get when I finish?

A portfolio of graded projects and a Blage credential, issued by BlageTech Labs when you meet the published criteria. The credential has a verification link an employer can check.

Why is there an oral defense?

Because finished work does not always mean understood work. Explaining your project aloud, and answering follow-up questions, shows that the skill is yours. It is also good practice for interviews.

Do you guarantee a job?

No, and we would be wary of anyone who does. We give you the skills, the proof and interview practice, and career support to help you use them.

What if I need to withdraw?

The refund and deferral terms come with your invitation, before you pay anything.

When do the other tracks open?

Data Analytics runs first and the other tracks follow. Join the waitlist for your track and we will email you when its dates are set.

Not sure which track fits?

Tell us what you do now and where you want to get to. We will point you to the right starting place.

Join the waitlistAsk a question