GenAI for Customer Support
Keep adding new skills with 10,000+ programs for $239 (usually $399). Save now.
GenAI for Customer Support
This course is part of AI-Powered Customer Success Specialization
Instructors: Manas Dasgupta
Included with
Learn more
Ask Coursera
Recommended experience
Recommended experience
What you'll learn
Apply Generative AI including effective Prompt engineering in customer service tasks.
Create a custom GPT model using customer service data to generate personalized responses to support tickets.
Integrate a Google Gem with Gmail to automate and enhance email-based customer support.
Implement an Anthropic project for AI-powered visual analysis to detect product defects and generate recommendations.
Skills you'll gain
Tools you'll learn
Details to know
See how employees at top companies are mastering in-demand skills
Build your subject-matter expertise
- Learn new concepts from industry experts
- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
- Earn a shareable career certificate
There is 1 module in this course
In this course, you'll discover how cutting-edge Generative AI tools can transform customer service by delivering faster, more accurate, and personalized support. Imagine a scenario where you can analyze a customer's history, detect an issue, and propose a solution in real-timeβall in the blink of an eye. Generative AI empowers customer service teams to automate routine tasks, enhance efficiency, and focus on high-value interactions, ultimately driving up customer satisfaction. With hands-on projects and practical examples, this course will equip you with the skills to master AI-based support automation in a variety of customer service contexts.
This course is ideal for Customer Service and Support professionals eager to embrace AI tools that can improve response times, automate repetitive tasks, and add value to customer interactions. No previous experience with AI is necessary; all you need is a drive to enhance your skills and improve your support outcomes. Participants should have basic computer proficiency to ensure they can comfortably navigate AI tools, set up projects, and experiment with AI-enhanced workflows. With this foundational knowledge, youβll be ready to dive into practical, real-world applications of Generative AI. By the end of this course, participants will have a strong foundation in Generative AI essentials, mastery of prompt engineering techniques, and practical experience with leading AI tools for customer service. Learners will be able to create custom AI models, automate responses in email support, and apply visual analysis for detecting defectsβultimately enhancing productivity and elevating customer satisfaction in their roles.
This course introduces Customer Service professionals to the power of Generative AI tools. Participants will learn the fundamentals of Generative AI, master prompt engineering techniques, and gain hands-on experience with practical AI applications in customer service scenarios.
What's included
11 videos4 readings1 assignment1 peer review4 discussion prompts
11 videosβ’Total 93 minutes
- Introduction and Welcomeβ’2 minutes
- Introduction to Generative AIβ’7 minutes
- Customer Service Use Cases for Generative AI β’6 minutes
- Mastering Prompt Engineering β’11 minutes
- Creating a Custom GPT with OpenAIβ’12 minutes
- Integrating GPT into Customer Service Workflowsβ’11 minutes
- Developing a Google Gem for Email Supportβ’12 minutes
- Anthropic Visual Analysis for Customer Supportβ’10 minutes
- Multimodal Models in Customer Serviceβ’11 minutes
- Best Practices for AI in Customer Serviceβ’9 minutes
- Congratulations and Continuous Learning Journeyβ’1 minute
4 readingsβ’Total 35 minutes
- Welcome to the Course: Course Overviewβ’5 minutes
- The Impact of Generative AI on Customer Experience Managementβ’5 minutes
- Generative AI Based Customer Service Toolsβ’10 minutes
- Use Cases and Best Practices of Generative AI in Customer Serviceβ’15 minutes
1 assignmentβ’Total 20 minutes
- GenAI for Customer Supportβ’20 minutes
1 peer reviewβ’Total 20 minutes
- Creating a Custom GPT for Technical Hardware Supportβ’20 minutes
4 discussion promptsβ’Total 20 minutes
- Inclusive Prompt Engineering for Diverse Cultural and Linguistic Customer Supportβ’5 minutes
- Building an Effective Feedback Loop for Continuous Improvement in Generative AI Customer Service Modelsβ’5 minutes
- Designing a Multimodal AI System for Enhanced Customer Support in Complex Queriesβ’5 minutes
- Ensuring Ethical AI in Sensitive Industries: Balancing Privacy, Transparency, and Accountabilityβ’5 minutes
Earn a career certificate
Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.
Instructors
Offered by
Explore more from Leadership and Management
- Status: Preview
Course
- Status: Free TrialC
Coursera
Course
- Status: Free Trial
Course
- Status: Preview
Course
Why people choose Coursera for their career
Frequently asked questions
To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.
Yes. In select learning programs, you can apply for financial aid or a scholarship if you canβt afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, youβll find a link to apply on the description page.
More questions
Financial aid available,
