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信息技术与软件/其他 IT 和软件

RPA Mastery: Complete Robotic Process Automation Training (课程)

Master Robotic Process Automation (RPA) across UiPath, Automation Anywhere, and Blue Prism, covering end-to-end bot development, REFramework, enterprise governance, and AI-driven intelligent automatio

所有级别 • 63 讲座 • 终身无限畅学

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RPA Mastery: Complete Robotic Process Automation Training
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认识您的导师:Veloxa Labs

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活跃的学生
美国英语
99 种语言字幕
8小时 5分
总内容

你将学到什么

Master the complete RPA lifecycle from process discovery and feasibility analysis to bot deployment, monitoring, maintenance, and retirement using industry-standard methodologies
Develop production-grade automations on UiPath (Studio 2024.x with REFramework), Automation Anywhere (Automation 360 with AARI), and Blue Prism (v7.x with DX) platforms
Design and implement reusable automation frameworks including config-driven architectures, centralized credential management, dynamic selectors, and modular component libraries
Build intelligent automations by integrating AI/ML services including Document Understanding, Computer Vision, Natural Language Processing, Sentiment Analysis, and API-based cognitive services
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课程内容

9 部分 • 63 讲座 • 08:05:13 总长度

What is Robotic Process Automation

07:16

Evolution and History of RPA

07:26

Business Case for RPA - ROI and Value Proposition

07:52

RPA vs Traditional Automation

06:44

Types of RPA - Attended vs Unattended vs Hybrid

06:29

RPA Market Landscape and Key Players

07:24

RPA Implementation Methodology

08:35

Process Identification and Prioritization Framework

06:55

About Course and Us

01:18

UiPath Platform Architecture and Components

07:25

UiPath Studio - Development Environment Deep Dive

08:21

Automation Anywhere - A360 Platform Overview

07:26

Blue Prism - Enterprise RPA Platform

06:32

Platform Comparison and Selection Criteria

07:02

Citizen Development and Low-Code Automation

06:24

Cloud RPA and SaaS Deployment Models

08:49

RPA Marketplace and Reusable Components

06:22

Why Repetition is matters? Why its Important?

08:47
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要求

Basic understanding of computer operations and Windows operating system navigation including file management, task scheduling, and system settings

Familiarity with fundamental programming concepts such as variables, data types, loops, conditionals (if-else), functions/methods, and error handling

Access to a Windows-based computer with minimum 8GB RAM (16GB recommended for AI/ML integrations) and internet connectivity for cloud-based platform a

Free community edition accounts on UiPath (uipath.com), Automation Anywhere (automationanywhere.com), or Blue Prism learning edition for hands-on prac

目标受众

Aspiring RPA developers and citizen developers seeking to build professional-grade automation skills and transition into high-demand technical roles

Business analysts and process improvement professionals who want to identify automation opportunities, conduct feasibility studies, and implement process optimizations

IT professionals, software developers, and QA engineers transitioning into automation engineering, DevOps, or platform architecture roles

Project managers, Scrum Masters, and team leads responsible for digital transformation initiatives, automation roadmaps, and delivery excellence

关于本课程

Robotic Process Automation (RPA) has emerged as one of the most transformative technologies in the modern enterprise landscape. The Robotic Process Automation (RPA) Masterclass is a comprehensive professional training program designed to deliver a complete mastery path from foundational concepts to enterprise-grade implementation. The course equips learners with the skills to design, develop, deploy, and govern software robots that automate repetitive, rules-based business processes with speed, accuracy, and scalability. Starting with fundamental principles of process discovery, technical feasibility assessments, and presentation-layer integration, the curriculum explores the three dominant industry platforms: UiPath (Studio 2024.x, Robotic Enterprise Framework, Orchestrator), Automation Anywhere (Automation 360, AARI, IQ Bot), and Blue Prism (v7.x, Object Studio, Process Studio).

Participants will master both attended and unattended bot architectures, state machine workflow design, queue-based transaction handling, advanced selector tuning, dynamic configurations, and robust error recovery patterns including circuit breakers and dead-letter queues. The course advances into cognitive automation, teaching learners how to integrate AI and machine learning capabilities through Document Understanding, Computer Vision, Natural Language Processing, and large language model (LLM) agents. Students will also learn to structure enterprise governance frameworks compliant with IEEE 2755.1-2019 standards, establish operational Centers of Excellence (CoE), orchestrate CI/CD release pipelines, and secure automations with credential vaults and role-based access control.

Through detailed real-world case studies from the United Kingdom (NHS Digital Transformation), Singapore (DBS Bank Trade Finance & Mortgage Processing), the United States (Healthcare Claims Adjudication), and Germany (Automotive Supply Chain Automation), learners examine practical implementations that deliver 40% to 80% operational efficiency gains. The program concludes with professional certification roadmaps (UiPath UiRPA/UiARD, Automation Anywhere Master, Blue Prism Developer) and expert techniques for building scalable digital workforces.

职业发展机遇与目标岗位

掌握前沿实战技能,胜任全球高薪核心职位

就业就绪型课程
可申请的目标岗位

Full Stack Software Engineer

Backend Systems Developer

Frontend Application Specialist

Automation & Scripting Engineer

预估年薪范围
$90,000 – $145,000 / yr
全球行业需求

High Global Tech Demand

掌握的核心关键技能
Production Code Architecture
RESTful & Modern API Design
State Management & UI Scaling
Debugging & Automated Testing
* 估算数据基于全球科技行业薪酬基准与招聘市场报告。
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Veloxa Labs
主要导师

Veloxa Labs develops training programs for IT professionals, cybersecurity practitioners, students, engineers, analysts, auditors, administrators, managers, and professionals preparing for recognized technical and security certifications. Its courses are structured to combine essential theory with practical technology concepts, real-world scenarios, professional best practices, and certification-focused learning.


The academy places strong emphasis on helping learners understand both the technical and management dimensions of modern information technology and cybersecurity. Course content is designed to strengthen knowledge of security, IT governance, auditing, risk management, compliance, infrastructure, business resilience, systems management, and enterprise technology operations.


Through structured professional training, VeloxaLabs aims to support learners in developing the knowledge required to evaluate technology risks, assess organizational controls, strengthen governance and security practices, prepare for professional certification examinations, and progress into IT audit, cybersecurity, risk, compliance, and technology-management roles.


By combining accessible technical education with realistic professional scenarios, VeloxaLabs seeks to make advanced technology and cybersecurity knowledge practical, understandable, and relevant to professionals working in today's rapidly evolving digital environment.

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