Artificial Intelligence and Automation | South Carolina

Venue & ticket info

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