Omdena Career Path
AI Engineering
As a part of AI Engineering Path you'll be acquiring skills towards becoming a data scientist, machine learning engineer, or in a similar role in the data science field.
What you build
Key skills for this path
- Data science
- Executing projects and solving challenging tasks.
- Team collaboration
- Working on tasks with a diverse team from around the world.
- Development workflow
- Being a part of a team building a product from scratch.
- Cultural Awareness
- Bringing together a team of collaborators of diverse backgrounds.
Before you begin
Applicant requirements
Use this list to decide what you already bring and what to strengthen before joining a project.
- 01A very good grasp in computer science and/or mathematics
- 02Programming experience with Python
- 03A basic understanding of Machine Learning (e.g. through online courses)
- 04Willingness to learn new tools
Your route
Move from participation to ownership
- Step 1
Join AI Innovation Challenge
In Omdena AI Innovation Challenges you join a team of 50 collaborators to develop AI solutions to real-world problems.
- Step 2
Take a leadership role
During the AI Innovation Challenge, lead a key task, drive progress with the team and showcase your willingness to make a complete product.
- Step 3
Showcase your skills
Complete at least two AI Innovation Challenges and have the opportunity to work on paid projects as an Omdena Top Talent.
- Step 4
Stand out
Now, you have built the skills and project portfolio to stand out in the data science job market.