Module 1
Structured Prompting & Output Validation
System instructions, schema constraints, and error handling for business workflows.
AI & Applied Engineering ยท Self-Paced or Live Cohort
Production AI Workflows, Retrieval & Automation
Design, evaluate, and deploy reliable AI applications with grounded citations, structured outputs, and cost controls.
Duration: 8 Weeks (42 Hours)
Level: Intermediate
Credential: Webdrills Pro Certified
Faculty Lead: Arjun Mehta
Programme Outcomes
What you will be able to build and evaluate.
Every module is structured around practical engineering, analytical, or product deliverables that you can demonstrate at work.
- Build retrieval-augmented pipelines with hybrid search and source citations.
- Enforce structured JSON outputs and deterministic validation rules.
- Measure accuracy, latency, and token cost across model providers.
Reviewed Capstone Work
Portfolio Projects
Customer Support Triage & Citation Service
Focus: Python, FastAPI, Retrieval, Evaluation
Automated Operations & Reporting Workflow
Focus: Tool Calling, Structured Outputs, Cost Profiling
Evaluated against structured rubrics with DrillBot locked during graded exams.
Curriculum Breakdown
Module-by-module syllabus.
Presented on a high-contrast reading surface for clear review by learners, managers, and academic boards.
Module 2
Document Chunking & Hybrid Retrieval
Vector indexing, keyword search, metadata filters, and inline source citations.
Module 3
Tool Use & External API Orchestration
Connecting language models safely to internal databases, CRMs, and webhooks.
Module 4
Evaluation Suites, Guardrails & Cost Control
Automated quality benchmarks, prompt-injection defences, and caching strategies.
Admissions & Enterprise Licensing
Request the complete syllabus PDF or upcoming cohort schedule.
Available for individual enrolment, 90-day self-paced to live credit transfer, and private enterprise cohorts.