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All 10 Career Skills in One ProjectIntermediate → AdvancedNEW

Build PharmaBot AI

Build a production pharmacist chatbot from scratch — covering every skill that matters for an AI systems engineer in 2026: AI agents, RAG pipelines, practical LLM integration, FastAPI backend, prompt engineering, vector search, Azure cloud, security & privacy, team collaboration, and production delivery. One real project. Ten real skills. Fully deployed.

4.9rating847 students8h 30m total13 lessons
6 Hands-on Labs 2 Projects
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What you'll learn

Design a multi-agent AI system: Triage Agent routes to Drug Info or Interaction Checker agents
Build and query a RAG pipeline over 1,200 FDA drug records with Azure AI Search
Integrate Azure OpenAI GPT-4o with Server-Sent Events streaming in FastAPI
Write advanced safety prompts and structured output templates for healthcare AI
Implement hybrid vector search combining semantic embeddings and keyword fallback
Deploy to Azure Container Apps with GitHub Actions CI/CD and zero-downtime releases
Build security guardrails: Redis rate limiting, prompt injection detection, PII-free sessions
Structure an API-first project with full OpenAPI docs for smooth team collaboration
Add production observability: structlog, health checks, and Azure Monitor
Ship a working pharmacist chatbot you can demo and add to your portfolio

Final Project

A fully deployed Azure-hosted pharmacist chatbot: multi-agent pipeline, RAG over 1,200 drug records, streaming chat UI, rate limiting, and CI/CD

Curriculum

13 lessons · 8h 30m
1

Course Orientation: Architecture Blueprint & Skills Map

20 min
2

Skill 1 — Fast Prototyping: Design the Full System in 30 Minutes

35 min
3

Skill 2 — Backend Engineering: Build the FastAPI Core (Async, Pydantic v2, OpenAPI)

Lab
50 min
4

Skill 3 — Prompt Engineering: Safety Prompts, Disclaimers & Structured Output

40 min
5

Skill 4 — RAG: Chunk, Embed & Index the Drug Knowledge Base

Lab
55 min
6

Skill 5 — Vector Search: Azure AI Search HNSW + pgvector Hybrid Retrieval

Lab
45 min
7

Skill 6 — AI Agents: Build the Triage, Drug Info & Interaction Agents

Project
60 min
8

Skill 7 — Practical LLM Integration: Streaming (SSE), Caching & Fallbacks

Lab
40 min
9

Skill 8 — Security & Privacy: Rate Limiting, Injection Detection & GDPR

40 min
10

Skill 9 — Azure Cloud: Container Apps, Azure OpenAI & AI Search in Production

Lab
50 min
11

Skill 10 — Production Delivery: CI/CD Pipeline, Logging & Azure Monitor

Lab
40 min
12

Bonus — Team Collaboration: API-First Design, OpenAPI Contracts & PR Workflow

25 min
13

Capstone: Ship PharmaBot AI to Azure Production

Milestone
60 min

Course Info

Lessons13 lessons
Total time8h 30m
LevelIntermediate → Advanced
Students847
Rating4.9 / 5.0
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