Artificial Intelligence and Automation | Rhode Island

Event details • Duration: 1-Day Practical Training (8 Hours) • Time: 9:00 AM – 5:00 PM (including breaks) • Location: Venue details will be communicated via email (full address) • City Selection: Choose your preferred city. We confirm the nearest available training location after registration. On-site training is also available upon request. • Format: In-person training (Virtual option available upon request) • Language: English • Certificate: Attendance certificate • PDUs awarded: 8 Professional Development Units • Contact: [email protected] Event description Artificial intelligence and automation are transforming how organizations operate, serve customers, analyze information, and make decisions. Professionals who understand these technologies are better equipped to enhance productivity, identify new opportunities, and confidently respond to digital transformations. The 1-day workshop on Artificial Intelligence and Automation provides 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 hands-on 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 drive innovation. Participants will also explore the risks associated with artificial intelligence, including inaccurate results, algorithmic bias, cybersecurity, privacy, intellectual property, workplace disruptions, and accountability. They will learn how responsible AI principles can help organizations use these technologies safely and ethically. By the end of the workshop, participants will be able to identify suitable AI opportunities, evaluate potential solutions, and create a practical action plan for implementing AI and automation within their teams or organizations. No programming experience or technical knowledge is required. What you will learn By the end of this training on AI and automation, 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 in various business areas • Discover opportunities to automate repetitive workplace processes • Understand the role of robotic process automation in business operations • Explore how natural language processing supports chatbots and virtual assistants • Recognise how computer vision and image processing are used across various industries • Understand predictive analytics and AI-driven decision-making • Formulate clear prompts when working with generative AI tools • Evaluate AI tools based on business needs, risks, costs, and expected benefits • Identify potential concerns regarding 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 implementing AI and automation • 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 are important for modern organisations • Common AI terms explained • Current expectations and challenges in the workplace • Workshop goals and participant expectations Module 2: AI, Generative AI, and Automation • Differences between AI and traditional automation • Rule-based automation vs intelligent automation • Understanding generative artificial intelligence • How AI systems learn from data • Human intelligence vs machine intelligence • Common myths and misconceptions about AI Module 3: Essential Technologies of Artificial Intelligence • Fundamentals of machine learning • Supervised and unsupervised learning • Deep learning and neural networks • Natural language processing • Computer vision and image processing • 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 • Application opportunities for generative AI in the workplace • Researching and summarising information • Creating and improving business content • Supporting brainstorming and problem-solving • Limitations of AI-generated information Module 5: Writing Prompts for Better AI Outcomes • Understanding prompts and AI instructions • Providing context, purpose, and target audience • Defining the required format and tone • Improving unclear or incomplete prompts • Effectively using follow-up commands • Reviewing AI-generated responses for accuracy • Practical prompt exercise in the workplace Module 6: Business Applications of AI • AI in customer service and customer experience • AI in marketing and sales • AI in human resources and recruiting • AI in finance and risk management • AI in operations and supply chains • AI in project and knowledge management • AI use cases across industries Module 7: Robotic Process Automation and Intelligent Workflows • Introduction to robotic process automation • Identifying repetitive and rule-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 suitable processes for automation Module 8: Chatbots, Virtual Assistants, and Natural Language Processing • How AI interprets human language • Applications of chatbots in customer service • 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-Driven Decisions • How predictive analytics works • Using historical data to identify patterns • Forecasting demand, risks, and customer behaviour • Supporting business decisions with AI insights • Understanding probabilities and uncertainties • Avoiding over-reliance on automated decisions • Maintaining meaningful human oversight Module 10: Responsible and Ethical AI • Understanding responsible AI • Recognising algorithmic bias • Privacy and information security • Cybersecurity considerations • Intellectual property and AI-generated content • Transparency and explainability • Accountability for AI-driven decisions • Developing policies for responsible AI Module 11: AI Risks and Workforce Transformation • Inaccurate information and AI hallucinations • Misinformation and manipulated content • Redesigning jobs and changing skill requirements • Addressing employee concerns about automation • Building AI competency in the workforce • Supporting employees during technological change • Balancing efficiency with human judgment Module 12: Planning for AI and Automation Implementation • Identifying business problems before tool selection • Finding valuable AI opportunities • Evaluating organizational readiness • Assessing data, skills, technology, and resources • Starting with a manageable pilot project • Defining success metrics and 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-AI collaboration • The evolving regulatory environment • Preparing for changing governance requirements • Fostering a culture of continuous learning Module 14: Personal Action Plan • Identifying a suitable opportunity in the workplace • Defining the business problem • Choosing an appropriate AI or automation approach • Identifying potential risks and controls • Setting practical next steps • Creating an implementation timeline • Presenting the action plan • Workshop recap and key insights Why you should attend this workshop: • Build practical understanding of artificial intelligence without technical jargon • Discover how AI and automation can enhance workplace efficiency • Explore relevant use cases across various 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 outcomes achieved with AI tools • Understand the risks and limitations of artificial intelligence • Learn how to protect sensitive business and customer information • Develop a responsible approach to implementing AI • Prepare for changing roles and future workplace requirements • Gain practical ideas that are immediately applicable • Create a realistic action plan for AI and automation • Receive an attendance certificate Who should attend? This workshop is suitable for professionals who wish to understand and apply AI and automation in their work environment, including: • Business owners and entrepreneurs • Managers and team leaders • Department heads and experienced professionals • Operations and process improvement specialists • Project and program managers • Human resources and learning professionals • Sales and marketing professionals • Customer service professionals • Finance and administration professionals • Business analysts and consultants • Digital transformation teams • Innovation and strategy experts • IT professionals seeking a business-focused overview of AI • Employees responsible for improving workplace productivity • Professionals preparing for AI-driven changes • Anyone interested in practical artificial intelligence and automation No prior AI knowledge, programming skills, or technical experience is required. 🎓 Certification All participants will receive a certificate of attendance from LearneRRing recognising their achievement. Exclusive offers Group discounts: 10% off for groups of 5-10 participants 15% off for groups of 11-20 participants Corporate & team training available Would you like to conduct this course at your workplace or for your team? We offer customised on-site and virtual sessions for businesses. 📩 Contact us at [email protected] for details.