Project Leadership, Strategy, and Delivery

Robotic Process Automation for Business Processes Training Course

In today's hyper-competitive landscape, organizations face an unprecedented volume of repetitive, high-frequency tasks that drain human productivity and inflate operational costs. Robotic Process Automation (RPA) is the strategic use of software with Artificial Intelligence and Machine Learning capabilities to handle these high-volume, repetitive tasks that previously required humans to perform. It enables professionals to design, deploy, and govern automation workflows that eliminate manual errors, ensure 24/7 process continuity, and free teams for value-added work. This course bridges the gap between automation aspiration and evidence-based execution, specifically designed for Business Process Analysts, RPA Developers, IT Operations Managers, and Digital Transformation Leads who must deliver under budget and regulatory constraints. You will gain hands-on experience building bots in UiPath and Automation Anywhere, creating process documentation, and implementing governance frameworks. The result is a credible, practitioner-ready capability to drive measurable efficiency and competitive advantage.

Duration
5 Days
Duration
Certificate
Certificate
Included
Delivery
Instructor-Led
Delivery
Level
Intermediate
Level
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Classroom Training

In-person sessions at premier locations

Nairobi Kenya
Mon - Fri
5 Days
USD 1,600
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Kigali Rwanda
Mon - Fri
5 Days
USD 1,900
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Dubai United Arab Emirates (UAE)
Mon - Fri
5 Days
USD 4,100
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Zanzibar Tanzania
Mon - Fri
5 Days
USD 2,400
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In-person training at our premier venues — pick a city and date that works for you.

Location Duration Fee Language
Nairobi, Kenya Mon - Fri (5 Days) USD 1,600 English See dates & reserve →
Kigali, Rwanda Mon - Fri (5 Days) USD 1,900 English See dates & reserve →
Dubai, United Arab Emirates (UAE) Mon - Fri (5 Days) USD 4,100 English See dates & reserve →
Zanzibar, Tanzania Mon - Fri (5 Days) USD 2,400 English See dates & reserve →
Abuja, Nigeria Mon - Fri (5 Days) USD 2,800 English See dates & reserve →
Addis Ababa, Ethiopia Mon - Fri (5 Days) USD 2,400 English See dates & reserve →
Mombasa, Kenya Mon - Fri (5 Days) USD 1,700 English See dates & reserve →
Cape Town, South Africa Mon - Fri (5 Days) USD 3,900 English See dates & reserve →
Johannesburg, South Africa Mon - Fri (5 Days) USD 3,500 English See dates & reserve →
Kampala, Uganda Mon - Fri (5 Days) USD 1,900 English See dates & reserve →
Pretoria, South Africa Mon - Fri (5 Days) USD 3,300 English See dates & reserve →
Lagos, Nigeria Mon - Fri (5 Days) USD 2,500 English See dates & reserve →
Arusha, Tanzania Mon - Fri (5 Days) USD 2,000 English See dates & reserve →
Dar es Salaam, Tanzania Mon - Fri (5 Days) USD 1,900 English See dates & reserve →
Accra, Ghana Mon - Fri (5 Days) USD 3,800 English See dates & reserve →
Bangalore, India Mon - Fri (5 Days) USD 4,200 English See dates & reserve →
Muscat, Oman Mon - Fri (5 Days) USD 4,300 English See dates & reserve →
Naivasha, Kenya Mon - Fri (5 Days) USD 1,700 English See dates & reserve →

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What You'll Master in This Training

Built by industry pros — practical insights, real-world examples, and strategies you can apply immediately.

Module 1: RPA Fundamentals and Process Identification

  • Define RPA vs. IPA and cognitive automation with real industry examples
  • Analyze the Process Value Matrix to score automation candidates
  • Identify RPA candidate processes using the 5-step selection framework
  • Map business processes with BPMN 2.0 for automation readiness assessment
  • Exercise: Calculate Process Value Matrix scores for 3 real business processes
  • Compare UiPath, Automation Anywhere, and Blue Prism capabilities and licensing
  • Design RPA architecture patterns: attended, unattended, and hybrid models
  • Evaluate integration points with legacy systems, APIs, and databases
  • Assess security and governance requirements for enterprise RPA deployment
  • Exercise: Select the optimal RPA tool for a given business scenario and justify
  • Navigate UiPath Studio interface and project structure
  • Configure variables, collections, and data types in UiPath
  • Implement data manipulation logic for Excel, CSV, and database sources
  • Build basic automation sequences with drag-and-drop actions
  • Exercise: Develop a UiPath workflow to extract and transform Excel data
  • Execute user interface automation with modern and classic selectors
  • Implement robust exception handling and retry mechanisms
  • Configure logging, monitoring, and alerting for bot health
  • Integrate AI models and OCR for unstructured data processing
  • Exercise: Build a resilient bot that handles UI exceptions and logs errors
  • Navigate Automation Anywhere Studio and command center interface
  • Create automation tasks using commands and variables
  • Configure bot deployment with Control Room and scheduling
  • Implement security roles and access controls in Automation Anywhere
  • Exercise: Deploy an Automation Anywhere bot to a production environment
  • Define RPA governance frameworks aligned with ISO/IEC 27001
  • Implement security protocols for bot access and data encryption
  • Configure audit trails and logging for regulatory compliance (GDPR, HIPAA)
  • Manage bot lifecycle: versioning, testing, and rollback strategies
  • Exercise: Create a RPA governance checklist for a banking automation project
  • Differentiate RPA from IPA and cognitive automation
  • Integrate AI models for document classification and sentiment analysis
  • Implement OCR and NLP for unstructured data processing
  • Assess AI governance and ethical considerations in automation
  • Exercise: Design an IPA workflow that combines RPA with AI document classification
  • Calculate RPA ROI using cost-benefit analysis and throughput metrics
  • Develop multi-year RPA strategy and roadmap for enterprise scaling
  • Manage stakeholder change and resistance to automation workflows
  • Report automation performance to executives with KPI dashboards
  • Exercise: Build a RPA ROI dashboard and present strategy to executive stakeholders

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About the Course

Organizations want results they can prove in the field of automation: measurable cost reduction, error elimination, and accelerated throughput. To demonstrate this, you need to master five core capabilities: identifying RPA candidate processes using the Process Value Matrix, designing robust automation workflows in UiPath Studio, implementing exception handling and logging mechanisms, configuring bot deployment strategies, and establishing RPA governance and security protocols. This course turns scattered knowledge into a structured system for end-to-end automation delivery. You will learn to analyze process complexity, build data manipulation scripts, execute user interface automation, and deploy bots using Orchestrator. Specifically, you will practice hands-on building of automation workflows in UiPath and Automation Anywhere, while being introduced to the theoretical underpinnings of Intelligent Process Automation (IPA) and AI governance. Real constraints like legacy system integration, data privacy regulations, and competing IT priorities are acknowledged; this course is designed for professionals who must deliver automation solutions under these exact conditions.

Target Audience

This course is designed for professionals who need to identify, design, and deploy automation solutions to drive operational efficiency and digital transformation.

  • Business Process Analyst: Identify RPA candidate processes and map workflows for automation
  • RPA Developer: Build, test, and deploy automation bots using UiPath and Automation Anywhere
  • IT Operations Manager: Oversee bot deployment strategies and manage automation infrastructure
  • Digital Transformation Lead: Set automation strategy and report ROI to executive stakeholders
  • Process Owner: Define process requirements and validate automation outcomes for business units
  • RPA Solution Architect: Design end-to-end automation architectures and integration points
  • Compliance Officer: Ensure RPA solutions meet data privacy and regulatory standards
  • Data Analyst: Analyze process data to optimize automation logic and exception handling
  • Change Manager: Drive stakeholder adoption and manage resistance to automation workflows
  • Quality Assurance Specialist: Test bot performance and validate error-free process execution

Course Objectives

This course equips you to identify, design, and deploy RPA initiatives that reduce costs, ensure compliance, and accelerate digital transformation.

  • Analyze business processes using the Process Value Matrix to identify high-impact RPA candidates
  • Design robust automation workflows in UiPath Studio using data manipulation and UI automation
  • Implement exception handling and logging mechanisms to ensure bot resilience and error recovery
  • Build data manipulation scripts to handle variables, collections, and complex data structures
  • Execute user interface automation to interact with legacy systems and web applications
  • Deploy bots using Orchestrator and configure scheduling, monitoring, and alerting strategies
  • Navigate RPA governance frameworks to ensure security, auditability, and regulatory compliance
  • Synthesize automation performance data into actionable reports for executive decision-making

Requirements & Prerequisites

Prerequisites: Working knowledge of business process concepts and basic computer literacy. No prior coding experience is required, but familiarity with Excel or SQL is beneficial. Participants must bring a laptop with Wi-Fi access. The course is delivered at an Intermediate level, focusing on operational application and hands-on implementation of RPA tools.

Local Application and Business Return in your market

How participants can apply the training in local operating conditions, and the return their organisation can plan for.

How participants apply this

Participants apply this course by mapping repetitive processes, identifying automation candidates, and documenting business rules before any bot is built. In U.S. organizations, that usually means working with finance, shared services, HR, operations, and IT to reduce manual handoffs and stabilize high-volume workflows. They also learn how to define exception paths, testing criteria, and approval points so automation can pass internal control review. In practice, that helps teams move from ad hoc task automation to repeatable process automation that can be maintained at scale.

Expected ROI

Over 6–12 months, the most realistic gains are lower manual workload, fewer processing errors, and shorter cycle times on routine tasks. Many organizations also see better employee utilization because staff spend less time on copying, matching, and routing work. The strongest return usually comes when the training is paired with a process selection discipline, clear governance, and a small number of high-volume use cases. Leaders should expect incremental productivity gains first, then broader operational consistency as the automation portfolio matures.

Training Methodology

This is a practical, outcome-driven course designed to turn RPA aspiration into measurable action and credible reporting.

Methodology includes:

  • Hands-on calculation of Process Value Matrix scores using real business process datasets
  • Scenario simulation of bot deployment under legacy system constraints and data errors
  • Assessment of process complexity using the RPA Process Selection Framework and checklist
  • Stakeholder mapping exercise to identify automation champions and resistance points
  • Case study analysis from banking, healthcare, insurance, and logistics sectors
  • Group workshop building a complete UiPath automation workflow under time constraints
  • Reflection exercise challenging current manual practices using automation performance benchmarks

Upcoming Sessions

Next available dates worldwide

No international sessions scheduled

Certification

Recognized credentials that advance your career

Participants who complete the Robotic Process Automation for Business Processes Training Program earn a Trainingcred Certificate of Achievement, demonstrating professional competence and alignment with global standards in learning and development.

NITA Accredited

Accredited by the National Industrial Training Authority, ensuring programs meet nationally recognized standards of quality and relevance.

CPD Certified

Recognized by the CPD Certification Service, ensuring every program meets internationally benchmarked standards of professional excellence.

Each certification reflects practical expertise, strategic insight, and readiness to excel in today's competitive, fast-evolving workplace.

Why this course earns its place on your CV

Accredited training, practitioner trainers, and peers on the same career track — the three things real expertise is built on.

Effective Learning & Skill Development

  • Build expertise with structured, outcome-driven learning.
  • Equip individuals and teams with skills that grow with industry needs.
  • Reinforce learning through real-world scenarios, case studies and practical exercises.

Career Growth & Professional Advancement

  • Apply what you learn with a proven methodology that ensures lasting impact.
  • Develop immediately usable skills that translate directly into workplace success.
  • Gain the expertise needed for career advancement and leadership roles.

Training Optimization & Learning Excellence

  • Tailor training to industry-specific challenges and organizational goals.
  • Use data-driven insights and automation to enhance training effectiveness.
  • Evaluate progress and ensure long-term learning success.

Tools and platforms relevant to this field

Examples local teams may encounter, and that may be featured in training where they support the confirmed course scope.

2

These are field-relevant examples, not a promise that every tool will be covered. Exact coverage depends on the confirmed course scope, participant needs, and delivery format.

  • UiPath UiPath
    Used to design, orchestrate, and govern software bots for repetitive business workflows.
  • Automation Anywhere Automation Anywhere
    Used for building and managing attended and unattended automation across common back-office processes.

Real Results from Real Professionals

Thousands of professionals have transformed their careers through our training programs. Now, it's your turn.

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Local market advisory

Course relevance for your market

A country-specific view of market pressure, regulatory context, and practical business return behind this training.

  • Market context
  • Regulatory fit
  • Business application

Why this course matters in your market

A market-specific advisory on the operating pressures this course helps teams address.

Robotic Process Automation matters in the United States because many organizations are under pressure to reduce processing costs, improve speed, and standardize work across finance, operations, and customer-service functions. For U.S. teams, the practical decision is not whether to automate, but which processes are stable enough to automate safely and how to govern them so controls, auditability, and compliance keep pace. This course is especially relevant for business process analysts, RPA developers, IT operations managers, and digital transformation leads who need to turn automation into measurable throughput gains rather than isolated bot deployments. The business value is strongest where leaders want quicker cycle times, fewer manual errors, and better use of skilled staff on higher-value work.
Control-heavy automation is the real differentiator

U.S. organizations often need automation that preserves audit trails, segregation of duties, and exception handling, so governance is as important as bot building.

Finance and operations are the fastest wins

The highest-value RPA opportunities usually sit in invoice handling, reconciliations, reporting, HR administration, and service-ticket workflows where repetitive rules dominate.

Low-code tools reduce dependence on scarce specialists

Teams that can document processes clearly and configure bots in platforms such as UiPath or Automation Anywhere can scale automation without waiting on custom software development capacity.

This training is timely because U.S. firms are still under pressure to do more with leaner operations while keeping controls strong across regulated and audit-sensitive processes. Organizations adopting automation now need staff who can design, test, and govern bots responsibly rather than simply deploy them quickly.

Regulatory context in your market

The local regulators, laws, and frameworks shaping this discipline, with the curriculum mapped to what teams need to know.

4

Regulators

  • FTC Relevant where automation affects customer data handling, privacy practices, and deceptive or unfair business processes.
  • SEC Relevant for automation used in finance, reporting, recordkeeping, and control-sensitive workflows in regulated public companies and financial firms.
  • OCC Relevant for national banks using automation in control-heavy banking operations and process governance.
  • Federal Reserve Relevant for automated workflows used by supervised financial institutions, especially where operational risk and internal controls matter.

Frameworks the course aligns with

  • 01 Gramm-Leach-Bliley Act · 1999
  • 02 Sarbanes-Oxley Act · 2002
  • 03 Health Insurance Portability and Accountability Act · 1996
  • 04 California Consumer Privacy Act · 2018

Frequently Asked Questions

Got questions? We've gathered the answers to common queries to help you feel confident and informed.

Business process analysts, RPA developers, IT operations teams, shared-services teams, and transformation leaders usually benefit most. The training is most useful where teams manage repetitive, rules-based work and need better control over volume, error rates, and turnaround time.

In most organizations, RPA is used to automate repetitive tasks rather than replace entire roles. The usual effect is that staff spend less time on manual administration and more time on exception handling, analysis, and customer-facing work.

A clear process inventory, basic documentation, and ownership for governance are the most important starting points. Companies also need to identify which processes are stable enough to automate and which ones should stay human-led because they change too often or require judgment.

Bots can create operational risk if they are poorly tested, poorly monitored, or allowed to run without clear ownership. Governance helps ensure changes are tracked, exceptions are handled properly, and automation remains aligned with internal controls.

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