Addis Ababa · Next Cohort Starts Mid-October · Waitlist Open

INFNOVA Tech
Training

Beginner-friendly, cohort-based technology training for students, professionals and anyone starting out in tech. Choose from Web Development, Data Science & AI, Embedded Systems & Robotics, AI-Powered Productivity, and Basic Computer Skills.

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Partnership & Trust

A trusted learning program by INFNOVA Technologies, in collaboration with Addis Ababa University, Creative Hub Ethiopia & iceaddis.

Addis Ababa University logoAddis Ababa University
Creative Hub Ethiopia logoCreative Hub Ethiopia
iceaddis logoiceaddis
1000+
Students taught across Ethiopia and internationally
100%
Practical hands-on project portfolio deliverables
Watch the overview

See how the training works

A quick look at how our summer cohort ran: the project you build, the way sessions run, and the mentors guiding you. Give it a watch before you join.

  • Hands-on, project-based sessions
  • Hosted at innobiz-K
  • Beginner-friendly, no experience needed
Why it matters

Build something you can point to

Most people learning to code get stuck at tutorials and never ship anything of their own. Our training is built the other way round: guided practice that ends with a finished project in your hands.

Work You Can Show an Employer

You finish with a real project, not just a completion slip: a deployed React app with a shareable link, a data analysis with charts and findings, or a working hardware build you can demo.

The Tools Teams Actually Use

React, Git and GitHub, Vercel, Python, Pandas, Matplotlib. You learn the everyday workflow of a working developer or analyst, not a simplified classroom version of it.

A Practical Edge Alongside Your Degree

A degree shows what you studied; a project shows what you can build. Six weeks of guided, hands-on practice gives you something concrete to point to in an application or interview.

Specialized Tracks

Choose the right course

Structured tracks, each ending in a portfolio project you can show. No prior programming experience is required. Schedule, fees and format for the October cohort will be shared with everyone on the waitlist.

Embedded Systems & Robotics

Where code meets the physical world

Students learn the basics of Arduino, simple circuits, LEDs, sensors, and physical computing. The course is beginner-friendly and focused on helping students understand how software controls real-world hardware.

What students learn

  • Arduino microcontrollers
  • Breadboards & circuits
  • LEDs, buzzers & outputs
  • Ultrasonic & light sensors
  • Logic gates & input code
  • Physical computing basics
Portfolio Final Project

An Arduino-powered device or robotics mini-project.

Choose Robotics

Front End Web Development using React

From your first webpage to a live, deployed app

Students start with the fundamentals of the web (HTML, CSS, and JavaScript), then level up to building interactive interfaces with React. Along the way they learn the professional workflow developers use every day: version control with Git & GitHub, and shipping their work live to the internet with Vercel.

What students learn

  • HTML structure & semantics
  • CSS styling, flexbox & grid
  • Responsive mobile layouts
  • JavaScript fundamentals
  • React components, state & props
  • Git & GitHub version control
  • Deploying live with Vercel
  • Modern developer workflow
Portfolio Final Project

A responsive React web app, versioned on GitHub and deployed live on Vercel with a shareable link.

Choose Web Dev

Data Analytics, Visualization and Machine Learning

Turn raw data into insight with Python

Students learn Python fundamentals and use real-world datasets to clean, explore, and visualize data. From there they step into core data analysis and machine learning ideas: spotting trends, understanding correlation, and building simple regression models to make predictions from data.

What students learn

  • Python programming syntax
  • Variables, loops & functions
  • Data analysis with Pandas
  • NumPy array logic
  • Charts with Matplotlib
  • Trends, correlation & statistics
  • Regression & prediction models
  • Intro to AI & ML concepts
Portfolio Final Project

A data analysis project with visual charts, a simple regression model, and an insights presentation.

Choose Data Science
Past Student Innovations

What our students build

These projects were designed and built by learners in our programs. It’s the clearest picture of what you could walk away having made.

Assistive Tech

BLEN: Smart Walking Stick for the Blind

An Arduino-powered cane that senses obstacles and alerts the user, a real solution to a real problem.

Music + Hardware

Arduino Digital Piano

Leul Abreham wired up a playable digital piano, turning code and circuits into sound.

Interactive Game

Arduino Memory Game

A hands-on electronic memory game built from scratch: logic, wiring, and play combined.

Support Center

Frequently Asked Questions

Have questions about logistics, requirements, or payments? Find quick answers to common questions below.

Yes. All courses start from absolute programming fundamentals. Students do not need any prior coding, design, or electronics experience to succeed.

A finished portfolio project: a React app deployed to a live, shareable link, a data analysis with charts and a written set of insights, or a working Arduino build, depending on your track. You also receive an official certificate of completion from INFNOVA, but the project is the thing you can actually show an employer.

A personal laptop is strongly recommended, since the learners who practice between sessions get the most out of the program. It is not a hard requirement: classrooms provide an equipped workspace with power and internet. If you do not have a laptop, say so on the registration form and we will confirm what is available at your location before classes begin.

Course changes are subject to class seat availability and must be requested and approved prior to the start of the first week of classes.

Yes. To maintain a low student-to-instructor ratio and ensure high-quality individual project guidance, we limit the maximum cohort seats per track.

Students showcase their final software, physical robotics, or design works during the Demo Presentation Day, followed by an official certificate ceremony.