AI for Customer Experience with Chatbots and Analytics

Course Overview

Customer engagement leaders and visionaries! Ready to harness AI’s transformative power to elevate customer experiences? On this learning journey, discover how to future-proof your CX strategy. Gartner predicts 75% of customer service interactions will be AI-driven by 2025—and early adopters already see 30% faster resolution times. Lagging behind? This is your wake-up call! Forget empty buzzwords: This actionable crash course cuts through the noise, focusing on practical AI tools reshaping CX. Dive into real-world case studies and hands-on techniques for: 1. Hyper-personalization: Craft tailored campaigns that boost loyalty. 2. Smart chatbots: Deploy , Claude, and Gemini GEM for conversational engagement. 3. Predictive analytics: Anticipate Customer behavior patterns using Deepseek, Perplexity AI and Anthropic Claude. Learn to ethically implement AI-driven workflows, measure ROI, and avoid common pitfalls. Walk away with a toolkit to: ✅ Design AI-enhanced customer journeys. ✅ Automate repetitive tasks without losing the human touch. ✅ Turn data into proactive, predictive engagement. This course is tailored for business professionals who may not have a technical background but are passionate about leveraging AI to enhance customer experiences. It is ideal for Customer Experience (CX) professionals, Digital Transformation Leaders, Marketing Executives, Entrepreneurs, and Customer Service Managers who want to stay ahead in an AI-driven landscape. Whether you're leading strategy or on the front lines of customer engagement, this course empowers you to integrate AI into your workflows to drive innovation and measurable business outcomes. Participants are expected to have a basic understanding of customer engagement processes and common industry terminology. No programming or technical expertise is required, making the course accessible to a broad range of professionals. The content is designed to bridge the gap between strategic business goals and practical AI applications, ensuring all learners can comfortably apply the concepts regardless of their technical proficiency. By the end of the course, learners will be able to identify where AI can be effectively used to enhance customer experience across touchpoints. They will be equipped to analyze the role of personalization, chatbots, and predictive analytics in driving customer engagement. Additionally, participants will gain the skills to design AI-driven customer strategies using tools like Perplexity AI, Claude, and Google Gemini GEM, while also understanding how to evaluate ethical implications and create responsible AI adoption guidelines.