Custom AI coach for certification prep
The global certification provider partnered with Aristek to incorporate AI capabilities into their digital prep platform and make the learning process more accessible, personalized, and effective.
USA
Education
6 months
Key achievements
| 89% | boost in learner satisfaction |
| 27% | drop in support tickets |
| 32% | increase in completion of study plans |
Solution
After having examined the whole situation closely, the Aristek team suggested designing an AI-powered framework that would not only tackle all the challenges but also be cost-effective — an AI certification coach.
The AI certification coach would be embedded into the client’s LMS and had to be able to:
Guide learners through all steps of their prep journeys
Provide personalized and inclusive learning experiences
Address knowledge and skill gaps effectively
Analyze progress and provide recommendations
Keep track of the deadlines and send reminders
Ensure full data privacy and security
Project scope
The Aristek team relied on subject matter expertise in AI-based development, the R&D department’s innovative approach, and experience in the EdTech domain. The project included the following steps:
1. Discovery phase
We conducted stakeholder interviews (Product, Education, Support departments) to map learner journeys across 5 popular certification tracks and define success metrics (e.g., pass rate uplift, ticket volume drop, upsell conversion).
Next, we performed a data audit (checking their consistency, the number of missing values, diversity), and validated the client’s ideas in terms of their feasibility with the current data.
2. Development
The development phase included building an AI readiness scoring model, which was previously trained on success/fail patterns, mock test results, activity logs, and other clients data. Also designing personalized guidance engines with study plans, practice targets, and exam countdowns.
3. Integration
Next, we embedded the AI assistant into the client’s eLearning platform (LMS). The backend team leveraged Python-based microservices on AWS Lambda for scalable performance. API integrations included inline support, nudges, reminders, progress tracking, and certification status systems.
4. Testing & launch
In this phase, we piloted 300 real learners from PMP and AWS cohorts, collected UX and results data, and iterated it on tone, frequency, and feedback logic. Then enabled an A/B test of AI-coached vs. control group prep results.
How AI coach works
Learners select a target certification and input their personal learning context. For example, their jobs, responsibilities, previous experience, career goals, learning preferences, etc.
The real-time readiness score tracks learners’ progress and predicts pass likelihood.
Then, the AI coach creates a personalized prep plan, which includes skill gap breakdowns, practice exam recommendations, study focus zones per week, micro-guidance, and more.
Next, it syncs with the platform calendar and sends nudges based on time left for task completion.
In general, the AI coach provides ongoing guidance and monitors learners’ engagement to ensure successful certification prep.
Team
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Project manager x1
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UX/UI designer x1
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AI/ML engineer x2
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Full-Stack developer x1
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DevOps engineer x1
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QA engineer x1
