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RPA with AI – UiPath

RPA with AI: learn to combine UiPath automation with artificial intelligence, so your robots can read documents, understand emails, make judgement calls and handle work that fixed rules cannot.

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About this course

RPA with AI: learn to combine UiPath automation with artificial intelligence, so your robots can read documents, understand emails, make judgement calls and handle work that fixed rules cannot. You build solid UiPath foundations first (workflows, selectors, the REFramework and Orchestrator), then bring AI into every stage: intelligent document processing, generative-AI services for extracting, summarising and classifying information, AI-assisted development, and agent-style automations with human approval. Every module is hands-on, and the course ends with a capstone that automates a real business process, such as invoice or customer-email handling, using RPA and AI together. Suitable for beginners, testers, analysts and developers moving into automation; no programming background is required.

Course content

1RPA with AI: the big picture
  • What RPA is, where it fits, and how it differs from scripting
  • What AI adds to automation, and where rules are still the better choice
  • Choosing processes to automate; estimating benefit
  • The automation lifecycle and the roles in a project
2UiPath Studio essentials
  • Studio, Assistant and Orchestrator at a glance
  • Variables, arguments and data types
  • Control flow, loops, conditions and flowcharts
  • AI-assisted development: using AI helpers to draft, explain and fix workflows and expressions
3UI automation and selectors
  • Building reliable selectors: anchors, wildcards and dynamic elements
  • Desktop, web and image-based automation
  • Computer vision and AI-assisted element detection for screens that are hard to automate
  • Data and screen scraping
4Working with data
  • Excel, CSV and database automation
  • DataTables, lists and dictionaries
  • Strings, dates and regular expressions
  • Cleaning and standardising messy data with AI (names, addresses, categories)
  • Email and PDF automation
5Error handling and debugging
  • Try/catch, retry scope and custom exceptions
  • Logging and debugging tools
  • Using AI to classify failures and summarise exceptions for a human
  • Designing robots that fail safely
6REFramework and queues
  • The Robotic Enterprise Framework and its states
  • Transaction items and work queues
  • Adding AI steps to a transaction: confidence checks, retries and a fall-back to a person
  • Configuration files and reusable components
7Orchestrator and deployment
  • Publishing packages; robots, machines and folders
  • Triggers, scheduling and unattended execution
  • Assets, credentials and monitoring
  • Governing AI automations: credentials for AI services, usage monitoring and cost control
8AI + RPA: intelligent document processing
  • OCR and document digitisation
  • Classifying documents and extracting fields with ML models
  • Validation with a human in the loop; confidence thresholds
  • Measuring accuracy and straight-through processing
9AI + RPA: generative AI in workflows
  • Calling language-model services from a workflow
  • Writing prompts for extraction, summarising, classification and drafting replies
  • Turning model answers into structured data (JSON to DataTable)
  • Guardrails: accuracy checks, privacy and cost control
10AI + RPA: agent-style and hybrid automation
  • Rule-based robot or AI agent: choosing the right tool
  • Letting an AI decide, and a robot act: designing the hand-off
  • Human approval steps and fall-back paths
  • Monitoring and auditing AI decisions
11Capstone project
  • Automate an end-to-end process (for example invoice or customer-email handling) using RPA and AI together
  • Code review, deployment and presentation

Upcoming batches

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Frequently asked questions

Who is this course for?

It is designed for beginners, testers, analysts and developers who want to move into automation. No programming background is required.

What will I be able to do at the end of the course?

You will build, test and deploy UiPath automations using workflows, selectors, the REFramework and Orchestrator, and add AI to them, for example reading documents with intelligent document processing and using generative-AI services to extract, summarise and classify information. The capstone project automates a real business process such as invoice or customer-email handling.

Do I need to know RPA or AI before I start?

No. The course builds the UiPath foundations first and then brings AI in step by step, so you do not need any prior experience with either.

How long is the course and how is it taught?

The course is 40 hours across 11 modules, taught through live, trainer-led sessions. Every module is hands-on and the course ends with a capstone project. Batch timings are shown in the upcoming batches section on this page.

Will I get a certificate?

Eligible students receive an Omega Academy certificate with a verification code that anyone can check online. Eligibility is based on attendance.

How to join

  1. Enquire: send a short enquiry for this course or a specific batch.
  2. Talk to us: our team calls you to confirm the batch, timing and fees.
  3. Learn: attend live, hands-on sessions with practical exercises.
  4. Get certified: eligible students receive a certificate that can be verified online.