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Solution PlaysPlay 65: Play 65 β€” AI Training Curriculum

Play 65 β€” AI Training Curriculum

Adaptive AI-powered learning platform β€” skill gap analysis against role-skill matrices, dependency-ordered learning paths (topological sort), content matched to learning style (visual/reading/hands-on), LLM-generated assessments with difficulty calibration, progress tracking in Cosmos DB, and completion optimization with gamification and microlearning.

Architecture

ComponentAzure ServicePurpose
Content GenerationAzure OpenAI (GPT-4o)Module content, assessments
Path AlgorithmNetworkX (local)Skill dependency graph, topological sort
Learner StateAzure Cosmos DBProfiles, progress, scores
Learner PortalAzure Static Web AppsDashboard, module viewer
Curriculum APIAzure Container AppsPath generation, assessments, progress
SecretsAzure Key VaultAPI keys

πŸ—οΈ Full architecture details

AspectPlay 74 (AI Tutoring)Play 65 (Training Curriculum)
ScopeIndividual tutoring sessionsFull learning path across skills
DurationSingle sessionWeeks/months to role readiness
AssessmentIn-session quizzesFormal pre/post skill assessments
StructureFree-form Q&ADependency-ordered modules
TrackingSession memoryPersistent learner profile + progress
GoalUnderstand one topicAchieve role competency (ML Engineer, etc.)

Key Metrics

MetricTargetDescription
Completion Rate> 70%Learners who finish their path
Skill Gain> 30%Pre-test β†’ post-test improvement
Dependency Order100%Prerequisites always before advanced
Assessment Validity> 90%Questions test intended skill
Learner Satisfaction> 4.0/5.0Post-path survey
Cost per Learner< $1.00Path + assessments + tracking

Cost Estimate

ServiceDevProdEnterprise
Azure OpenAI$25$150$600
Cosmos DB$3$40$130
Static Web Apps$0$9$9
Container Apps$10$60$180
Blob Storage$3$20$60
Key Vault$1$3$5
Application Insights$0$15$60
Content Safety$0$8$25
Total$42/mo$305/mo$1,069/mo

Estimates based on Azure retail pricing. Actual costs vary by region, usage, and enterprise agreements.

πŸ’° Full cost breakdown

WAF Alignment

PillarImplementation
ReliabilityDependency graph ensures ordered learning, skip-if-passed pre-test
Responsible AISME review for generated content, assessment calibration
Cost Optimizationgpt-4o-mini for paths, cached assessments, pre-built content
Operational ExcellenceProgress tracking, completion analytics, content refresh schedule
Performance EfficiencyMicrolearning (15 min sessions), parallel content delivery
SecurityLearner PII in Cosmos DB, Key Vault for secrets

FAI Manifest

FieldValue
Play65-ai-training-curriculum
Version1.0.0
KnowledgeF1-GenAI-Foundations, T2-Responsible-AI, O2-Agent-Coding, R1-Prompt-Patterns
WAF Pillarsresponsible-ai, reliability, cost-optimization, operational-excellence
Groundednessβ‰₯ 85%
Safety0 violations max
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