
Which course first? A pathway guide for every starting point.
Obrix Academy
24 September, 2026
00 Comments
With thirteen courses across Engineering, Design and Strategy, the hardest part is often choosing where to begin. The good news is that the courses are built to connect, and each one states plainly what it expects from you.
If you are starting from zero
Several courses ask for no prior experience in the subject:
- Python Backend Development is our designated entry-level programming course, open to graduates from any discipline.
- Data Analytics & Analytics Engineering needs only spreadsheet familiarity and comfort with numbers. No programming is required.
- Software QA & Test Automation needs only computer literacy and logical thinking. It is not code-free, though: you write code from week two.
- UI/UX Design for Product Teams needs a laptop and a Figma account, with no prior design or coding experience.
- AI Adoption for Professionals is for non-technical staff who are comfortable with a computer, a browser, email and a spreadsheet.
Five pathways
Once you have a foundation, the course index maps the natural next steps:
| Pathway | Route |
|---|---|
| AI | Python Backend Development, then Generative AI & Agent Engineering or AI & Machine Learning |
| Data | Data Analytics & Analytics Engineering, then AI & Machine Learning |
| Infrastructure | Full-Stack Web Development or Python Backend Development, then AWS Cloud Engineering, then DevOps Engineering |
| Design | UI/UX Design for Product Teams, then Product Design |
| Delivery | Any Engineering or Design course, then IT Project Management |
Courses that ask for more
The intermediate courses check your level before you start, so nobody stalls halfway. Generative AI & Agent Engineering asks for working Python and a short take-home task before enrolment. AI & Machine Learning expects Python, basic SQL and introductory statistics. AWS Cloud Engineering screens for Linux, networking and some coding. DevOps Engineering uses an entrance task covering Linux, Git, one programming language and basic cloud skills. Product Design expects Figma familiarity or the UI/UX course.
One course that stands apart
AI Adoption for Professionals is deliberately separate. It teaches people to use AI tools well inside their existing job and does not feed into the engineering track. If your goal is to build AI systems rather than use them, start with Python Backend Development and move on to Generative AI & Agent Engineering.
Not sure yet?
Each course page lists its prerequisites and target roles, and the enquiry form on the courses page lets you describe your background so we can point you to the right starting course.
Leave a comment