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Module 1

Python for Automation Engineering

• Core Python for automation practitioners
• Functions, data structures & comprehensions
• REST API consumption
• JSON parsing & transformation
• Exception handling & retry logic
• Scripting patterns for enterprise automation

Module 2

AI & Machine Learning in Enterprise Context

• How AI/ML systems actually work (inference vs. training)
• Confidence scores, thresholds & decision boundaries
• Where AI fails in production
• Anatomy of real enterprise AI failures
• Building a critical evaluation mindset

Module 3

From RPA to Intelligent Automation

• Limitations of classical RPA
• The hyperautomation paradigm
• Workflow-first AI design thinking
• Enterprise automation patterns
• Process redesign case study — before vs. after AI

Module 4

Workflow Design, State Management & Orchestration

• Deterministic vs. adaptive workflows
• State machines & transition design
• Retry logic, fallbacks & graceful degradation
• SLA-aware orchestration
• Structured logging, alerting & observability

Module 5

Decision Automation — Rules, ML & LLM Hybrid

• Business rule engines
• ML-assisted classification & routing
• LLM-based reasoning for unstructured decisions
• Confidence-based escalation logic
• Designing fallback hierarchies for enterprise-grade reliability

Module 6

LLMs for Enterprise-Grade Automation

• Structured output generation & schema enforcement
• Tool calling & function orchestration
• Prompt engineering for production systems
• Hallucination detection & mitigation
• Guardrails, reliability patterns & retry strategies

Module 7

Agentic AI — Architecture & Autonomy Design

• Agents vs. deterministic workflows — when to use what
• Autonomy boundaries & trust levels
• Task decomposition & planning loops
• Tool-use agents vs. reasoning agents
• Failure modes unique to agentic systems

Module 8

Multi-Agent Systems & Human-in-the-Loop Patterns

• Manager-worker agent architectures
• Inter-agent communication & coordination
• Approval gates & human escalation design
• Controlling autonomy in production
• Orchestration patterns for enterprise multi-agent workflows

Module 9

Enterprise System Integration & Event-Driven Automation

• CRM & ERP API integration patterns
• Webhook design & event-driven architecture
• Idempotency & failure handling in async systems
• Real-world webhook failure scenario & recovery design
• Integration testing & contract validation for enterprise pipelines

Module 10

Human-in-the-Loop Design & AI Governance Frameworks

• Audit trail design
• Approval workflows & rollback mechanisms
• AI compliance fundamentals
• PII handling in automated pipelines
• Regulatory mindset — DPDP, GDPR context
• Audit readiness for enterprise deployment

Module 11

Intelligent Automation Ops & System Reliability

• Production workflow monitoring
• Logic versioning & change management
• Failure recovery & incident response
• Distributed tracing for AI pipelines
• Alert threshold design
• AI API cost monitoring & optimization

Module 12

Secure Automation Architecture

• Role-based access control in automation systems
• PII detection, masking & data minimization
• Prompt injection attack patterns & defenses
• Data leakage vectors in LLM pipelines
• Enterprise security checklist for AI systems

Module 13

Capstone

Intelligent Automation Capstone – Build, Deploy & Govern (end-to-end design of a production AI automation system, multi-agent workflow with tool integrations, governance layer – audit, approval & rollback, system documentation & architecture presentation)