Artificial Intelligence and Automation | Nevada

Dive into the future with hands-on AI and automation skills that'll boost your workflow and make tech work for you.
About this Event

Event Details

Duration: 1-Day Practical Training (8 Hours)
Timing: 9:00 AM – 5:00 PM (including breaks)
Location: Location shared via email ( Complete Address )
City Selection: Select your preferred city. We’ll confirm the nearest available training location after registration. Onsite training is also available on request.
Format: Classroom Training (Virtual option available on request)
Language: English
Certificate: Course Completion Certificate
PDUs Awarded: 8 Professional Development Units
Contact: [email protected]

Event Description

Artificial intelligence and automation are changing how organisations operate, serve customers, analyse information, and make decisions. Professionals who understand these technologies will be better prepared to improve productivity, identify new opportunities, and respond confidently to digital transformation.

The Artificial Intelligence and Automation 1-Day Workshop offers a practical introduction to AI technologies and their growing role in the modern workplace. Participants will explore machine learning, generative AI, natural language processing, robotic process automation, predictive analytics, computer vision, and intelligent business tools.

The workshop focuses on business applications rather than complex programming. Through practical examples, guided discussions, workplace scenarios, and interactive exercises, participants will learn how AI and automation can streamline repetitive tasks, support decision-making, enhance customer experiences, and encourage innovation.

Participants will also examine the risks associated with artificial intelligence, including inaccurate outputs, algorithmic bias, cybersecurity, data privacy, intellectual property, workforce disruption, and accountability. They will learn how responsible AI principles can help organisations use these technologies safely and ethically.

By the end of the workshop, participants will be equipped to identify suitable AI opportunities, evaluate potential solutions, and create a practical action plan for introducing AI and automation within their team or organisation.

No programming experience or technical background is required.

What You Will Learn

By the end of this AI and automation training, participants will be able to:

Explain artificial intelligence and automation in clear, practical terms

Understand the differences between AI, generative AI, and traditional automation

Recognise how machine learning and deep learning support intelligent systems

Understand how generative AI tools create text, images, insights, and other content

Identify practical AI applications within different business functions

Discover opportunities to automate repetitive workplace processes

Understand the role of robotic process automation in business operations

Explore how natural language processing powers chatbots and virtual assistants

Recognise how computer vision and image recognition are used across industries

Understand predictive analytics and AI-assisted decision-making

Write clearer prompts when working with generative AI tools

Evaluate AI tools based on business needs, risks, costs, and expected benefits

Recognise potential concerns involving bias, privacy, security, and misinformation

Apply responsible AI principles in the workplace

Understand the importance of human oversight and accountability

Prepare employees and teams for AI-driven workplace changes

Develop a practical roadmap for AI and automation adoption

Create an individual or organisational AI action plan

Course Modules

Module 1: Introduction to Artificial Intelligence and Automation

What artificial intelligence means

What workplace automation means

Why AI and automation matter to modern organisations

Common AI terminology explained

Current workplace expectations and challenges

Workshop objectives and participant expectations

Module 2: AI, Generative AI and Automation

Differences between AI and traditional automation

Rules-based automation compared with intelligent automation

Understanding generative artificial intelligence

How AI systems learn from data

Human intelligence compared with machine intelligence

Common myths and misconceptions about AI

Module 3: Essential Artificial Intelligence Technologies

Machine learning fundamentals

Supervised and unsupervised learning

Deep learning and neural networks

Natural language processing

Computer vision and image recognition

Robotics and intelligent machines

Predictive analytics and recommendation systems

Module 4: Generative AI in the Workplace

How generative AI tools work

Text, image, audio, video, and code generation

Workplace uses for generative AI

Researching and summarising information

Creating and improving business content

Supporting brainstorming and problem-solving

Limitations of AI-generated information

Module 5: Prompt Writing for Better AI Results

Understanding prompts and AI instructions

Providing context, purpose, and audience

Defining the required format and tone

Improving unclear or incomplete prompts

Using follow-up prompts effectively

Reviewing AI-generated answers for accuracy

Practical workplace prompting exercise

Module 6: Business Applications of AI

AI in customer service and customer experience

AI in marketing and sales

AI in human resources and recruitment

AI in finance and risk management

AI in operations and supply chains

AI in project and knowledge management

AI in training and employee development

Cross-industry AI use cases

Module 7: Robotic Process Automation and Intelligent Workflows

Introduction to robotic process automation

Identifying repetitive and rules-based tasks

Automating data entry and document processing

Workflow automation and system integration

Combining AI with business process automation

Benefits and limitations of automation

Selecting processes suitable for automation

Module 8: Chatbots, Virtual Assistants and Natural Language Processing

How AI interprets human language

Customer service chatbot applications

Internal employee support assistants

Voice assistants and conversational AI

Designing effective chatbot experiences

Escalating complex issues to human employees

Protecting confidential information during AI interactions

Module 9: Predictive Analytics and AI-Assisted Decisions

How predictive analytics works

Using historical data to identify patterns

Forecasting demand, risks, and customer behaviour

Supporting business decisions with AI insights

Understanding probability and uncertainty

Avoiding excessive dependence on automated decisions

Maintaining meaningful human oversight

Module 10: Responsible and Ethical AI

Understanding responsible AI

Recognising algorithmic bias

Data privacy and information protection

Cybersecurity considerations

Intellectual property and AI-generated content

Transparency and explainability

Accountability for AI-supported decisions

Developing responsible AI guidelines

Module 11: AI Risks and Workforce Transformation

Inaccurate information and AI hallucinations

Misinformation and manipulated content

Job redesign and changing skill requirements

Managing employee concerns about automation

Developing AI literacy across the workforce

Supporting employees through technological change

Balancing efficiency with human judgement

Module 12: Planning AI and Automation Adoption

Identifying business problems before selecting tools

Finding high-value AI opportunities

Assessing organisational readiness

Evaluating data, skills, technology, and resources

Starting with a manageable pilot project

Defining success measures and key performance indicators

Reviewing costs, risks, and expected benefits

Scaling successful AI initiatives

Module 13: Future AI Trends and Regulation

Emerging developments in artificial intelligence

The growth of AI agents and intelligent assistants

Increasing use of multimodal AI

The future of human and AI collaboration

The evolving regulatory environment

Preparing for changing governance requirements

Building a culture of continuous learning

Module 14: Personal Action Plan

Identifying one suitable workplace opportunity

Defining the business problem

Selecting an appropriate AI or automation approach

Identifying potential risks and controls

Establishing practical next steps

Creating an implementation timeline

Presenting the action plan

Workshop review and key takeaways

Why Attend This Workshop?

Build a practical understanding of artificial intelligence without technical jargon

Discover how AI and automation can improve workplace efficiency

Explore relevant use cases across departments and industries

Learn how generative AI can support everyday professional responsibilities

Identify repetitive processes that may be suitable for automation

Improve the quality of results obtained from AI tools

Understand the risks and limitations of artificial intelligence

Learn how to protect sensitive business and customer information

Develop a responsible approach to AI adoption

Prepare for changing roles and future workplace requirements

Gain practical ideas that can be applied immediately

Create a realistic AI and automation action plan

Receive a Course Completion Certificate

Who Should Attend?

This workshop is suitable for professionals who want to understand and apply AI and automation within their workplace, including:

Business owners and entrepreneurs

Managers and team leaders

Department heads and senior professionals

Operations and process improvement professionals

Project and programme managers

Human resources and learning professionals

Sales and marketing professionals

Customer service professionals

Finance and administrative professionals

Business analysts and consultants

Digital transformation teams

Innovation and strategy professionals

IT professionals seeking a business-focused AI overview

Employees responsible for improving workplace productivity

Professionals preparing for AI-driven changes

Anyone interested in practical artificial intelligence and automation

No previous AI knowledge, coding ability, or technical experience is necessary.

🎓 Certification

All participants will receive a Certificate of Completion from LearneRRing, recognizing their achievement.

Exclusive OffersGroup Discounts:10% off for groups of 5-10 participants15% off for groups of 11-20 participants
Corporate & Team Training Available

Want this course delivered at your workplace or for your team? We offer customized onsite and virtual sessions for companies.📩 Email us at [email protected] for details.