Global Certificate in Automation & Intelligent Automation

Name: Global Certificate in Automation & Intelligent Automation
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The Global Certificate in Automation & Intelligent Automation is a comprehensive course designed to equip learners with essential skills for career advancement in the rapidly evolving field of automation. This course emphasizes the importance of automation and intelligent automation in enhancing business efficiency, reducing costs, and improving customer experiences.

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AboutThisCourse

In this course, learners gain hands-on experience with tools and technologies used in automation and intelligent automation, including Robotic Process Automation (RPA), Artificial Intelligence (AI), Machine Learning (ML), and Natural Language Processing (NLP). They learn how to automate business processes, analyze data, and make informed decisions based on insights gained from automated systems. With the growing demand for automation skills across industries, this course provides learners with a competitive edge in the job market. Learners who complete this course will be able to demonstrate their expertise in automation and intelligent automation, making them highly attractive to potential employers and increasing their earning potential.

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CourseDetails

• Introduction to Automation & Intelligent Automation
• Understanding Industrial Automation Systems
• Automation Tools and Technologies
• Designing Automated Systems
• Programming for Automation: An Introduction
• Intelligent Automation: AI and Machine Learning
• Implementing Intelligent Automation Solutions
• Automation Safety and Compliance
• Continuous Improvement in Automation
• Case Studies in Automation & Intelligent Automation

CareerPath

The **Global Certificate in Automation & Intelligent Automation** prepares professionals for exciting opportunities in the rapidly growing field of automation. This section features a 3D pie chart highlighting key roles in the job market, emphasizing their demand in the UK. 1. **RPA Developer**:
RPA Developers focus on creating, deploying, and managing Robotic Process Automation solutions. These professionals are responsible for automating repetitive tasks and integrating software robots with various systems. 2. **AI Engineer**:
AI Engineers design, develop, and implement artificial intelligence models and applications. They work on integrating AI capabilities with automated systems, enhancing their intelligence and efficiency. 3. **Data Scientist**:
Data Scientists analyze and interpret complex data sets to extract actionable insights. They play a crucial role in automation projects by determining the optimal algorithms and models. 4. **Automation Engineer**:
Automation Engineers specialize in designing, developing, and maintaining automation systems. They ensure the smooth integration of various automation components and oversee the testing and deployment process. 5. **Machine Learning Engineer**:
Machine Learning Engineers are responsible for developing machine learning models and algorithms. They help automated systems learn and improve from data, enabling them to make more informed decisions. By understanding the roles and their significance in the automation landscape, professionals can make informed career choices and align themselves with industry trends. This 3D pie chart using Google Charts offers a compelling visual representation of the job market, making it easier to comprehend and engage with the data.

EntryRequirements

BasicUnderstandingSubject
ProficiencyEnglish
ComputerInternetAccess
BasicComputerSkills
DedicationCompleteCourse

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FastTrack GBP £140

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AcceleratedLearningPath

ThreeFourHoursPerWeek
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StandardMode GBP £90

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FlexibleLearningPace

TwoThreeHoursPerWeek
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GLOBAL CERTIFICATE IN AUTOMATION & INTELLIGENT AUTOMATION

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London School of International Business (LSIB)

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05 May 2025

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