Artificial Intelligence and Automation | California

Event Details • Duration: 1-day hands-on training (8 hours) • Time: 9:00 AM – 5:00 PM (including breaks) • Location: Venue will be communicated via email (full address) • City Selection: Choose your preferred city. We will confirm the nearest available training location upon registration. On-site training is also available on request. • Format: In-person training (Virtual option available upon request) • Language: English • Certificate: Participation 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 respond confidently to digital transformation. The 1-day workshop on Artificial Intelligence and Automation 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 activities, participants will learn how AI and automation can optimize repetitive tasks, support decision-making, enhance customer experiences, and drive innovation. Participants will also examine the risks associated with artificial intelligence, including erroneous outputs, algorithmic bias, cybersecurity, privacy, intellectual property, workforce disruptions, and accountability. They will learn how responsible AI principles can help organizations leverage 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 team or organization. No programming skills or technical backgrounds are 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 • Recognize 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 various business areas • Discover ways to automate repetitive workflows • Understand the role of robotic process automation in business operations • Explore how natural language processing powers chatbots and virtual assistants • Recognize 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 requirements, 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 changes in the workplace • Develop a practical roadmap for implementing AI and automation • Create an individual or organizational 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 organizations • Common AI terms explained • 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 • Basics of machine learning • 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 • Use cases for generative AI in the workplace • Researching and summarizing information • Creating and enhancing 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 • Setting the required format and tone • Improving vague or incomplete prompts • Effectively using follow-up prompts • Checking AI-generated responses for accuracy • Practical exercise for inputting prompts 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 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 • Use cases of AI across different 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 customer service chatbots • Internal support for employees through assistants • Voice assistants and conversational AI • Designing effective chatbot experiences • Escalating complex issues to human employees • Protecting sensitive 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 behavior • Supporting business decisions with AI insights • Understanding probability and uncertainty • Avoiding excessive reliance on automated decisions • Maintaining meaningful human oversight Module 10: Responsible and Ethical AI • Communicating about responsible AI • Recognizing algorithmic bias • Privacy and information protection • Considerations for cybersecurity • Intellectual property and AI-generated content • Transparency and accountability • Responsibility for AI-assisted decisions • Developing responsible AI policies Module 11: AI Risks and Workforce Transformation • Inaccurate information and AI hallucinations • Misinformation and manipulated content • Redesigning jobs and changing skills • Addressing employee concerns about automation • Building AI competence throughout the workforce • Supporting employees through technological changes • Balancing efficiency and human judgment Module 12: Planning for AI and Automation Implementation • Identifying business problems before selecting tools • Finding high-impact AI opportunities • Assessing organizational readiness • Evaluating data, skills, technologies, and resources • Starting with a manageable pilot project • Defining success metrics and key performance indicators • Reviewing costs, risks, and expected benefits • Scaling successful AI initiatives Module 13: Future Trends in AI and Regulation • Latest 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 landscape • Preparing for changing governance requirements • Building a culture of continuous learning Module 14: Personal Action Plan • Identifying a suitable opportunity in the workplace • Defining the business problem • Selecting an appropriate AI or automation approach • Identifying potential risks and controls • Outlining practical next steps • Creating an implementation timeline • Presenting the action plan • Workshop review and key takeaways Why Attend This Workshop? • Build practical understanding of artificial intelligence without technical jargon • Discover how AI and automation can improve workplace efficiency • Explore relevant use cases across different departments and industries • Learn how generative AI can assist in daily professional tasks • Identify repeatable processes that may be suitable for automation • Enhance the quality of outcomes from AI tools • Understand the risks and limitations of artificial intelligence • Learn how to protect sensitive corporate and customer data • Develop a responsible approach to implementing AI • Prepare for changing roles and future workplace requirements • Develop practical ideas that can be immediately actionable • Create a realistic action plan for AI and automation • Receive a certificate of participation Who Should Attend? This workshop is suitable for professionals looking to understand and apply AI and automation in their work environments, including: • Business owners and entrepreneurs • Managers and team leaders • Department heads and senior professionals • Operations and process improvement professionals • Project and program managers • Human resources and training 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-oriented 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 knowledge of AI, programming skills, or technical experience is required. 🎓 Certification All participants will receive a completion certificate from LearneRRing acknowledging their achievement. Exclusive offers for group discounts: 10% discount for groups of 5-10 participants and 15% discount for groups of 11-20 participants Corporate & team training available Would you like to run this course at your workplace or for your team? We offer tailored on-site and virtual sessions for companies. 📩 Contact us at [email protected] for details.