AI BootCamps (7 Courses)
Course Category
Course Category
Start with a 5-minute check of where you stand with AI today, for anyone in IT. Or go deeper: rate yourself on 14 AI skills against the AI role you want and get your gaps, ranked, with a week-by-week plan to close them.
For engineers, analysts, managers and leaders. Your answers stay in your browser until you ask to see your report.
Not sure? Take the quick check first. Its result links straight into the detailed check.
Step 1: about you and the role you want.
AI use is spreading faster than training. Being ready is becoming a hiring question.
Every skill has its own description for each level, so you pick what you actually do, not a number.
The levels follow the way professional skills frameworks such as SFIA describe growing autonomy and responsibility.
Enter your details to unlock it. It takes about 20 seconds.
We use your details to follow up about AgileFever programs. We receive your target role, readiness score and skill levels, not your individual answers.
Coloured blocks are your level. The black line is what the role needs. Skills the role does not need are left out.
Ranked by how far you are from the role and how much the role depends on the skill.
Skills where you already meet or beat the role. Put these on your CV and in interviews, with an example of real work.
The same answers scored against all 8 role profiles. Your nearest role is often a faster first move than your target.
Matched to your target role and your gaps. Each page lists its own prerequisites, dates and price.
Quick check. Each of the 15 answers is worth 0 to 4 points, so each of the five areas is out of 12 and the AI-Readiness Index is your total as a share of 60. Five questions are scenarios with a best answer; partial credit goes to answers that are only half right. Personas: AI Curious 0 to 24, AI Explorer 25 to 44, AI Practitioner 45 to 64, AI Builder 65 to 84, AI Leader 85 to 100.
Market figures. PwC Global Workforce Hopes and Fears Survey 2026 and the Microsoft and LinkedIn Work Trend Index 2024.
Role profiles. Each of the 8 roles has a target level and a weight (critical, important or useful) for every skill. They are AgileFever's view, built from AI job-posting analysis, where LLMs, Python, evaluation and agents are the most-requested skills, and from what our programs teach for each role.
Readiness. For each skill the role needs, we credit your level up to the target, weight it, and add it up. Going beyond the target does not add extra credit.
Quick check. If you rate a skill at Independent or Lead, you answer one question on it. A wrong answer counts that skill at Guided (level 2) in the report, and we tell you so.
Hours. Each level step has a rough number of focused practice hours, larger for higher levels and for broad skills such as machine learning. Treat the totals as a planning estimate, not a promise.
This is a self-assessment, not an exam or a certificate. Program facts come from the program pages and can change.
Written by the AgileFever editorial team. A self-assessment with a short knowledge check, not a certification. Program hours come from the program pages and can change.