Udemy - Ai-Powered Customer Experience (Cx)

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Udemy - Ai-Powered Customer Experience (Cx) (Size: 2.1 GB)
  1 - Introduction to Customer Experience Management.mkv 23.8 MB
  10 - Voice of the Customer VoC Analysis.mkv 19.7 MB
  100 - Conversion Rate Optimisation Using Data.mkv 32.7 MB
  101 - Analysing Customer Lifetime Value CLV.html 7.3 KB
  102 - Sentiment Analysis for Customer Feedback.html 6.1 KB
  103 - Personalisation Strategies Based on Data.html 8.7 KB
  104 - Customer Churn Prediction and Prevention.mkv 35.7 MB
  105 - Analysing Service Response Times and Customer Satisfaction.html 5.6 KB
  106 - Identifying Service Bottlenecks.html 4.4 KB
  107 - Optimising Workflows Using Data.html 3.2 KB
  108 - Using Data to Improve Customer Support Efficiency.mkv 50.8 MB
  109 - Presentation.mkv 4.1 MB
  11 - Emotional Experience Design EED.mkv 20.2 MB
  110 - Course overview.mkv 35.6 MB
  111 - Decoding the Context for Effective Communication.mkv 78.2 MB
  112 - How We See The Principles of Visual Perception.mkv 79.9 MB
  113 - Selecting the Right Visual for Your Message.mkv 40.1 MB
  114 - Designing for Clarity and Impact Eliminating Clutter Thinking Like a Designer.mkv 32.1 MB
  115 - Guiding the Eye Focusing Your Audiences Attention.mkv 22.3 MB
  116 - The Magic of Narrative Crafting Your Data Story.mkv 33.9 MB
  117 - Tactics for Clear Storytelling Logic and Structure.mkv 60.1 MB
  118 - Dissecting Effective Visual Stories and Seeking Fresh Perspectives.mkv 37.7 MB
  119 - Congrats.mkv 13.3 MB
  12 - Lifetime Value LTV and Customer Lifetime Value CLV.mkv 15.1 MB
  120 - Supplement Little Red Riding Hood.mkv 100 MB
  13 - Employee Experience EX.mkv 13.7 MB
  14 - Intro.mkv 4.3 MB
  15 - Course overview.mkv 8.7 MB
  16 - Course slides.html 102.4 B
  17 - Working with frameworks.mkv 7.4 MB
  18 - Empathy map.mkv 24.2 MB
  18 - Exercise-1-Empathy-Map.pdf 225.3 KB
  18 - Mock-Up-Data.pdf 82.1 KB
  19 - Exercise-2-Experience-Map.pdf 972 KB
  19 - Experience map.mkv 45.4 MB
  2 - Course Slides.html 102.4 B
  2 - Customer-Experience-Management.pptx.pdf 3.4 MB
  20 - Customer journey map.mkv 33.5 MB
  20 - Exercise-3-Customer-Journey-Map.pdf 713.6 KB
  21 - Exercise-4-Service-Blueprint.pdf 798.3 KB
  21 - Service blueprint.mkv 44.4 MB
  22 - Data analysis and segmentation.mkv 5.9 MB
  23 - Cohort analysis.mkv 47.4 MB
  23 - Exercise-5-cohort-analysis.xlsx 5.4 KB
  24 - Data segmentation.mkv 87 MB
  24 - Exercise-6-Customer-segmentation.xlsx 7.4 KB
  25 - Research methodologies.mkv 14.1 MB
  26 - Exercise-7-VoC.xlsx 5.2 KB
  26 - Voice of the Customer VoC.mkv 108.2 MB
  27 - Emotional Experience Design EED.mkv 61.3 MB
  27 - Exercise-8-EED.xlsx 5.6 KB
  28 - Generative AI in Customer Experience An Introduction.html 18.7 KB
  29 - Crafting Personalized Journeys Generative AI for Content and Communication.html 17.7 KB
  3 - Theory Overview.mkv 6.6 MB
  30 - Conversational AI and Chatbots Elevating Customer Service.html 17.4 KB
  31 - Smart Recommendations.html 18.5 KB
  32 - Generative AI for Product and Service Innovation.html 18.3 KB
  33 - Building a Generative AI Strategy for Customer Experience.html 15.8 KB
  34 - Ethical and Responsible Use of Generative AI in CX.html 15 KB
  35 - The Future of Generative AI in Customer Experience.html 17.4 KB
  36 - Case Study Deep Dive Successful Implementations of Generative AI in CX.html 21.1 KB
  37 - Handson Project Designing a Generative AI Solution.html 18.1 KB
  38 - What is ChatGPT and How Does it Work.mkv 62.6 MB
  39 - The Evolving Role of AI.mkv 21.4 MB
  4 - HighLevel Frameworks.mkv 23.7 MB
  40 - Intro to AI Prompt Writing.mkv 48.1 MB
  41 - Presentation.mkv 8.9 MB
  42 - Course overview.mkv 3.6 MB
  43 - Concept.mkv 8.3 MB
  44 - Characteristics of indepth interviews.mkv 15.5 MB
  45 - Advantages of indepth interviews.mkv 16.4 MB
  46 - Uses of indepth interviews.mkv 18.9 MB
  47 - Importance of mastering indepth interviews techniques.mkv 19.8 MB
  48 - Creating a guide.mkv 19.8 MB
  49 - Creating a guide what not to do.mkv 4.8 MB
  5 - CX Principles.mkv 15.8 MB
  50 - Presentation of self in interviews.mkv 23.9 MB
  51 - Authenticity and professionalism Importance.mkv 11.9 MB
  52 - Authenticity and professionalism strategies.mkv 14.1 MB
  53 - Authenticity and professionalism benefits.mkv 10 MB
  54 - The role of language.mkv 13.3 MB
  55 - Verbal and nonverbal cues importance.mkv 18.3 MB
  56 - Verbal cues interpretation.mkv 27.2 MB
  57 - Nonverbal cues interpretation.mkv 21.2 MB
  58 - Verbal and nonverbal cues integration.mkv 23.2 MB
  59 - Attention to details importance.mkv 12.8 MB
  6 - Customer Segmentation and Persona Development.mkv 24.4 MB
  60 - Attention to details strategies.mkv 15.3 MB
  61 - Ethical considerations.mkv 19.3 MB
  62 - Getting started.mkv 18.9 MB
  63 - Letting the respondent lead importance.mkv 15.9 MB
  64 - Letting the respondent lead strategies.mkv 15.9 MB
  65 - Managing the interview pace importance.mkv 12.1 MB
  66 - Managing the interview pace strategies.mkv 12.7 MB
  67 - Probing.mkv 17.2 MB
  68 - Probing what not to do.mkv 11.9 MB
  69 - Notetaking importance.mkv 13.7 MB
  7 - Service Recovery and Complaint Handling.mkv 27.1 MB
  70 - Notetaking benefits.mkv 14.3 MB
  71 - Notetaking strategies.mkv 15.6 MB
  72 - Learning how to interview.mkv 22.3 MB
  73 - Using recording equipment.mkv 12.8 MB
  74 - Transcribing interviews importance.mkv 11.5 MB
  75 - Transcribing interviews techniques.mkv 16.8 MB
  76 - Introduction to UserCentered Design.html 15.2 KB
  77 - The Power of User Interviews.html 14.1 KB
  78 - Analyzing User Interview Data.html 13 KB
  79 - Usability Testing Unveiling User Behavior.html 14.1 KB
  8 - Customer Journey Optimisation.mkv 59.8 MB
  80 - Surveys and Questionnaires Gathering Quantitative Insights.html 12.9 KB
  81 - The Art of User Onboarding.html 15 KB
  82 - User Onboarding Case Studies Learning from the Best.html 11.3 KB
  83 - Building a User Onboarding Framework.html 12.6 KB
  84 - The Psychology of User Onboarding.html 7.4 KB
  85 - User Onboarding for Different User Types.html 7.2 KB
  86 - User Onboarding and UX Design A Symbiotic Relationship.html 10.8 KB
  87 - Heatmaps and Eye Tracking Visualizing User Behavior.html 10.6 KB
  88 - The Importance of Data in Sales and Customer Service.html 7.1 KB
  89 - Types of Data in Sales and Service Environments.html 10.9 KB
  9 - Service Blueprinting and Process Design.mkv 45.6 MB
  90 - Key Metrics and KPIs for Sales and Service.html 9 KB
  91 - Overview of Data Analysis Tools.html 9.2 KB
  92 - Sources of Sales and Service Data.html 6.8 KB
  93 - Data Quality Identifying Handling Issues.html 6.4 KB
  94 - Data Cleaning Techniques Excel Python Basics.html 3.7 KB
  95 - Structuring Data for Analysis.html 3.8 KB
  96 - Analysing Customer Feedback and Support Data.html 3.6 KB
  97 - Understanding Sales Trends and Patterns.mkv 33.8 MB
  98 - Sales Pipeline Analysis.mkv 30.3 MB
  99 - Customer Segmentation Techniques.html 4 KB
  Bonus Resources.txt 102.4 B
  Get Bonus Downloads Here.url 204.8 B
  ▲ 132 total files

Description


Ai-Powered Customer Experience (Cx)

https://WebToolTip.com

Published 6/2025
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 2.13 GB | Duration: 10h 3m

AI-Powered CX: Master Customer Journey, Generative AI, User Research & Onboarding for unmatched experiences.

What you'll learn
Map end-to-end customer journeys and spot high-impact CX touchpoints with data-driven frameworks.
Build AI-powered personalization (chatbots, recommenders) that lifts engagement, loyalty, and revenue.
Apply user-psychology insights to craft friction-free, emotionally resonant experiences that delight.
Transform raw support, sales, and feedback data into clear CX dashboards and ROI-backed stories.
Master CX principles: Understand core CX concepts, frameworks, segmentation, journey mapping, VoC, and emotional design.
Leverage Generative AI: Apply AI for personalized content, chatbots, recommendations, and product innovation in CX.
Strategize AI in CX: Develop AI strategies, assess ethical implications, and explore future trends in AI-powered CX.

Requirements
For a better learning experience, we suggest you to use a laptop / mobile phone / pen and paper for taking notes, highlighting important points, and making summaries to reinforce your learning.
No prior coding required—just a computer, internet access, and curiosity about improving customer experiences. Basic marketing or analytics familiarity is helpful but not mandatory.

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