Cover
Photo: Tim Sullivan (CC0)
Spotlight
PAGE: https://alison.com/course/robotic-process-automation
PROMISE: Builds RPA skills to route high-confidence tasks to robots and keep low-confidence ones manual
WHO: RPA developers and business analysts who need to distinguish automatable tasks from complex manual reviews
WHYNOW: The course provides a structured path to implement confidence-based routing in current workflow systems
DESC: If you want UiPath certification and to become an in-demand RPA developer, this free online IT course gives you a solid foundation to achieve your goals.
BEFORE: High manual scrutiny required for every case, even straightforward ones
BEFORE: No clear boundary between tasks suitable for bots and those needing human judgment
BEFORE: Review loads remain inefficient due to lack of structured automation planning
AFTER: High-confidence cases are automated, reducing manual burden significantly
AFTER: Clear criteria define which tasks robots handle versus which stay with humans
AFTER: Review loads are optimized by focusing human effort only on ambiguous, low-confidence cases
GAIN: Ability to identify which workload segments are candidates for automation
GAIN: Skill in creating precise selectors to target stable, high-confidence processes
GAIN: Framework for structuring robots that safely delegate routine tasks to machines
STEP: Manual review queue mixes simple data entry with complex ambiguous judgments || Identify automate your workload to get UiPath recognition || Separate tasks into automated high-confidence workflows and flagged low-confidence items for humans
STEP: Robots fail silently when data structures change slightly, breaking the automation flow || Define the UiPath selector || Apply precise selectors to ensure stable automation of predictable, high-confidence steps only
STEP: Developers start coding without a clear plan, resulting in brittle processes that need constant fixes || Recognize how to structure a robot before starting development || Design robust workflows that handle standard cases automatically and escalate exceptions manually
NOTFOR: Users seeking immediate certification without learning the underlying RPA concepts
NOTFOR: Teams that do not use UiPath or cannot commit to a 6-10 hour advanced course
FACT: Average duration: 6-10 Hours (Contains Video)
FACT: CPD-accredited certificate available
FACT: Advanced level
COVERS: Identify automate your workload to get UiPath recognition
COVERS: Recognize how to customize the Message Box
COVERS: Define the UiPath selector
COVERS: Distinguish between how to create a component and a workflow from scratch
COVERS: List three common operations you can use when your robot is reading information
COVERS: Recognize how to structure a robot before starting development
COVERS: Define debugging
COVERS: Discuss the goal of the automation challenge
COVERS: Identify how to get information from a PDF document and insert it into a desktop application
COVERS: Robotics
COVERS: Automation
MODULE: Introduction to Robotic Process Automation || Introduction and Course Structure | Skills of an RPA Developer | UiPath Studio License | Project Types in UiPath
MODULE: First Steps with UiPath Studio || UiPath Studio | Message Box & Texts | Manage Dependencies & Debugging
MODULE: UiPath Selectors || What is a Selector? | How to Create an Automation | How to Create a Reliable Selector
MODULE: Data Manipulation || What are Variables? | Components and Using Arguments | Working with Numbers
MODULE: The Weather Robot || The Weather Robot | Introduction to Data Table | How to Write an Excel File
MODULE: Client Enrolment Robot & Source Control || Client Enrolment Robot | Source Control | How to Revert a Mistake
MODULE: Robots and Webpages || Output Parameter and Debugging | Enhancing with Flowcharts | The E-commerce Robot
MODULE: The Automation Challenge and Selectors || Automation Challenge | Creating a Robot for the RPA Certification | How Selection Works
What you are probably seeing
High-volume queues mix simple, repeatable errors with complex edge cases, making every ticket feel risky to automate. Reviewers spend equal time validating obvious fixes as they do troubleshooting novel issues.
Support dashboards show high resolution rates, but team capacity remains saturated because manual checks are required for every item, regardless of confidence level. Interruptions from low-stakes notifications dilute focus on genuine problem-solving.
Why it happens
Legacy workflows often treat all alerts as binary: either a human sees it or it gets ignored. This prevents the creation of graduated trust levels where systems handle known patterns and escalate only when confidence drops below a threshold.
Runbooks are frequently static documents rather than living assets. When a fix works, the logic is not captured back into the system, so the same manual scrutiny is repeated next time instead of being converted into permanent automation.
What changed recently
2026-10-06 · Risotto Launches Autonomous IT Engineer That Investigates, Resolves, and Automates Complex Employee Support Tasks
Risotto is now automating tier-2 support gaps:
• Auto-solves 20-60 percent of routine tickets
• Converts fixes into self-improving runbooks
• Surfaces new automation from 90 days of history
Source: WebWire
2026-10-06 · OpenAI Unveils Dots, GPT-6.1 Sol, $500 Pro Tier, And New Enterprise AI Tools
OpenAI is now adding granular control over AI execution for that gap:
• Custom Rules determine which Dot actions are autonomous, need approval, or blocked.
• Auto-review decides if an action proceeds, needs approval, or requires user completion.
Source: Pulse 2.0
Step by step
1. Analyze the last 90 days of tickets to identify the top three issues that are identical in cause and resolution, marking them as candidate automations.
2. Define specific confidence thresholds or rule sets that must be met before a system action can close a ticket without human sign-off.
3. Route all tickets that do not meet the automation criteria to a separate queue for manual expert review, isolating the true edge cases.
4. Document the logic for each automated fix as a version-controlled runbook that the system executes, allowing for audit and quick rollback.
5. Spend one hour per week reviewing the logs of auto-solved tickets to catch any drift in the rules and update the runbooks with new patterns.
Ways to go further
Start here: Robotic Process Automation For when you want to automate high-confidence tasks while keeping low-confidence ones for manual review. Open the free course on Alison ↗
Affiliate links: CHEAPUNO may earn a commission if you buy through them, at no extra cost to you.
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