AI Agents in Production
Deploy AI agents that take real actions—search, calculate, call APIs—without losing sleep over reliability. This advanced course covers ReAct and plan-execute architectures, tool design, multi-agent orchestration, observability, and production capstone patterns used by teams shipping agents to paying customers. **What you'll build:** - ReAct-style agent loop with step limits - Tool router with validation and fallbacks - Multi-agent handoff orchestration - Trace logging and failure replay tooling - Capstone patterns: supervisor, critic, and human-in-the-loop Prerequisites: comfort with LLM APIs and function calling. You'll leave with agent patterns you can deploy next sprint.
Instructor: Priya Sharma
Course Curriculum
Module 1: Agent Architecture Fundamentals
By the end of this module you'll implement a ReAct agent loop with step limits and error recovery.
- ReAct, Plan-Execute & the Agent Loop
- State, Step Limits & Failure Recovery
- Context Management & Conversation Memory
- Architecture Selection Framework
- Lab: ReAct Step ParserLab
- Module 1: Agent ArchitectureQuiz
Module 2: Tool Design & Routing
By the end of this module you'll build a production tool router with validation and keyword-based routing.
- Designing Agent Tools That Models Can Use
- Routing, Validation & Error Contracts
- Tool Registries, MCP & Composable Toolchains
- Security Boundaries, Sandboxing & Tool Governance
- Lab: Tool RouterLab
- Module 2: Tool DesignQuiz
Module 3: Multi-Agent Orchestration
By the end of this module you'll implement agent handoff routing between specialist roles.
- Supervisor, Specialist & Handoff Patterns
- Parallel Agents & Shared State
- Consensus, Debate & Multi-Agent Quality Control
- Event-Driven Orchestration & Message Buses
- Lab: Agent Handoff RouterLab
- Module 3: Multi-AgentQuiz
Module 4: Observability & Debugging
By the end of this module you'll build trace summaries and identify failed steps in agent runs.
- Tracing Agent Runs End-to-End
- Replay, Regression & Incident Response
- Metrics, SLIs & Cost Attribution for Agent Systems
- OpenTelemetry, Distributed Tracing & Log Correlation
- Lab: Trace Failure FinderLab
- Module 4: ObservabilityQuiz
Module 5: Capstone Agent Patterns
By the end of this module you'll compose supervisor, critic, and HITL patterns into a production-ready agent design.
- Critic, HITL & Graceful Degradation
- Production Checklist & Reference Architectures
- Canary Releases, Feature Flags & Safe Agent Rollouts
- Evaluation Harnesses, Golden Traces & Continuous Quality
- Lab: Action Approval GateLab
- Module 5: Capstone PatternsQuiz
$99.99
Lifetime access · Certificate included
- Hands-on coding exercises
- Module knowledge check quizzes
- Downloadable resources
- Progress tracking dashboard