Developers Are Questioning Andela’s New AI Bootcamp Requirements
Andela Just Launched a New Engineering Program, and People Are Questioning the Requirements.
Andela Just Launched a New Engineering Program, and People Are Questioning the Requirements.
Andela recently launched a new engineering program, and it has already sparked conversations across the tech community.
The program being talked about the most is the AI Engineering Bootcamp, launched in February 2026 and set to run for 10 weeks. What has caught people’s attention is the requirement that participants have at least 8 years of development experience, be able to commit 40 hours per week, and be currently unemployed.
On X (formerly Twitter), many developers have reacted negatively, describing the requirements as confusing and unrealistic.
One comment reads:
“How is a software engineer with 8 years of experience supposed to quit their job to join a bootcamp? Do they offer guarantees for high-paying jobs afterwards? This only makes sense for someone recently laid off with a few months to spare.”
While this debate continues, Andela is also running other programs that have received more positive feedback.
One example is the Kubernetes and Cloud Native Associate (KCNA) certification program, launched in 2025 in partnership with CNCF and the Linux Foundation. That initiative has been praised for its structure and real-world impact.
Despite the success of these other programs, concerns around the AI Engineering Bootcamp remain strong.
Many developers are not questioning the value of AI skills, but whether the program’s structure reflects the realities of experienced engineers, especially in Africa.
Beyond the backlash, the situation raises a quieter question that many developers are now thinking about.
As AI becomes more central to tech work, who are these advanced programs really meant for? If beginners are excluded and experienced engineers feel locked out by the structure, where does that leave the majority of talent in the ecosystem?
And more importantly, is this the direction future tech training will take, or is this just an experiment that still needs serious adjustment?
For now, the conversation continues.
