Automation Course

Lesson 1 • What Automation Is and Is Not

Defines automation, distinguishes it from scripting and manual optimization, and sets scope. Establishes shared vocabulary used throughout the course.

Lesson 2 • Types of Automation Technologies

Surveys the automation landscape: RPA, workflow automation, API integration, and AI-assisted automation. Helps learners match technology type to use case.

Lesson 3 • Automation Value and ROI Basics

Introduces cost-benefit analysis for automation projects, covering time savings, error reduction, and capacity gains. Provides a baseline for prioritization decisions.

Lesson 4 • Automation Lifecycle Overview

Maps the end-to-end lifecycle from discovery through deployment and maintenance. Sets expectations for the structured approach taught in subsequent chapters.

Lesson 1 • Process Discovery Techniques

Covers interviews, observation, and process mining to surface how work actually happens. Accurate discovery prevents automating broken processes.

Lesson 2 • Writing Automation Requirements

Translates process maps into structured requirements documents with inputs, outputs, rules, and exceptions. Requirements drive consistent automation design.

Lesson 3 • Process Mapping and Flowcharting

Teaches standard notation for drawing process flows, decision points, and exception paths. Maps become the primary input for automation design.

Lesson 4 • Process Standardization Before Automation

Establishes why processes must be standardized before automation and how to achieve it. Reduces rework caused by automating inconsistent workflows.

Lesson 1 • Modular Automation Architecture

Introduces component-based design that separates logic, data, and orchestration layers. Modularity reduces maintenance cost and enables reuse across projects.

Lesson 2 • Designing for Exception Handling

Covers strategies for anticipating, catching, and recovering from errors in automated workflows. Robust exception handling prevents silent failures in production.

Lesson 3 • Data Handling and Transformation Design

Teaches how to design data flows, transformations, and validation checks within automation. Correct data handling ensures output accuracy and downstream trust.

Lesson 4 • Logging and Auditability Design

Establishes logging standards for tracking automation execution, decisions, and errors. Audit trails support compliance, debugging, and continuous improvement.

Lesson 1 • Building Conditional Logic and Loops

Implements branching conditions and iteration within visual flows to handle varied data. Logic structures enable automations to respond dynamically to real inputs.

Lesson 2 • Testing and Debugging Visual Flows

Applies systematic testing methods to identify and fix errors in no-code automations. Reliable testing prevents production failures and data corruption.

Lesson 3 • Triggers and Event-Driven Flows

Teaches how to configure schedule, webhook, and event-based triggers to start automations. Trigger selection determines when and how reliably a flow executes.

Lesson 4 • No-Code Platform Orientation

Introduces the interface, core concepts, and terminology of visual automation platforms. Familiarity with the environment accelerates hands-on build exercises.

Lesson 1 • Scripting Language Fundamentals

Covers variables, data types, control flow, and functions in a general-purpose scripting language. These fundamentals underpin every code-based automation built in this chapter.

Lesson 2 • File and Directory Automation

Teaches scripts that read, write, move, rename, and archive files and folders automatically. File automation is among the most common enterprise scripting use cases.

Lesson 3 • Scheduling and Orchestrating Scripts

Teaches how to schedule scripts using system schedulers and orchestrate multi-script pipelines. Scheduled execution transforms one-off scripts into reliable automated processes.

Lesson 4 • Web Scraping and Browser Automation

Introduces HTTP requests and browser control libraries for extracting and submitting web data. Enables automation of web-based tasks that lack API access.

Lesson 1 • UI Interaction and Selector Design

Covers recording, selector creation, and reliable UI element targeting across applications. Stable selectors are the single most critical factor in bot reliability.

Lesson 2 • Data Scraping and Screen Reading

Teaches structured data extraction from tables, forms, and PDFs using RPA scraping tools. Accurate data capture is essential for downstream processing accuracy.

Lesson 3 • RPA Platform Architecture

Explains the designer, orchestrator, and robot components of an RPA platform and how they interact. Understanding architecture is prerequisite to building and deploying bots.

Lesson 4 • Bot Deployment and Orchestration

Covers packaging, publishing, scheduling, and monitoring bots through the orchestrator. Deployment discipline ensures bots run reliably in production environments.

Lesson 1 • Performance and Load Testing

Teaches how to measure automation throughput, latency, and behavior under high-volume conditions. Performance testing prevents capacity failures in production workloads.

Lesson 2 • Test Data Management

Covers creating, managing, and isolating test data sets to enable repeatable automation testing. Proper test data prevents false positives and protects production data.

Lesson 3 • Automation Testing Strategy

Defines a layered testing strategy covering unit, integration, and end-to-end tests for automation. A clear strategy prevents gaps that allow defects to reach production.

Lesson 4 • Continuous Quality Monitoring

Implements ongoing monitoring, alerting, and health checks to maintain automation quality post-deployment. Continuous monitoring catches regressions before they impact business operations.

Lesson 1 • Security and Access Control

Addresses credential management, least-privilege access, and secure data handling within automation. Security controls prevent bots from becoming attack vectors or compliance risks.

Lesson 2 • Automation Center of Excellence

Defines the structure, roles, and responsibilities of a Center of Excellence for automation governance. A CoE provides the organizational backbone for scaling automation sustainably.

Lesson 3 • Measuring and Reporting Automation Value

Establishes metrics, dashboards, and reporting cadences to communicate automation value to stakeholders. Value reporting sustains executive sponsorship and justifies program investment.

Lesson 4 • Automation Portfolio Management

Covers pipeline management, prioritization frameworks, and portfolio health tracking for automation initiatives. Portfolio discipline maximizes ROI across the full automation investment.