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  1. Courses
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  3. GenAI for Customer Support

GenAI for Customer Support

Master Generative AI to automate tasks, boost accuracy, and enhance customer support with custom GPTs, Google Gem, and Anthropic AI.

Manas  Dasgupta
Manas Dasgupta
Business | core | 1 hour |   Published: Feb 2025
In partnership with: Coursera

    Discussions

Overview

1KSTUDENTS*
98.8RECOMMEND*

This course includes:

  • 1 Hour of on-demand video  
  • Certificate of completion  
  • Direct access/chat with the instructor 
  • 100% self-paced online 

This course equips customer service professionals with essential Generative AI skills, enabling them to automate repetitive tasks, enhance response accuracy, and deliver faster, more personalized support. By leveraging AI-powered tools like custom GPT models, Google Gem for email automation, and Anthropic’s visual AI, participants will learn to streamline workflows and improve customer satisfaction. Through practical projects and real-world case studies, learners will gain hands-on experience in deploying AI solutions to resolve customer queries efficiently while maintaining a human-centric approach.

By the end of this course, participants will have the confidence to integrate AI into their customer service operations, optimizing response times and elevating customer interactions. The combination of prompt engineering, AI-driven automation, and best practices ensures that learners not only understand the technology but also apply it effectively in real-world scenarios. This training empowers customer service teams to stay ahead of industry trends, boost productivity, and drive measurable improvements in customer experience.

Skills You Will Gain

Generative AI in Customer Service
AI based Support Ticket Automation
Google Gem Email Support
Visual AI based Defect Detection
Customer Service using Generative AI Training

Learning Outcomes (At the end of this program you will be able to)

  • 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.
  • Iintegrate 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. 

Prerequisites

This course is designed for customer service professionals with a basic understanding of computer operations. Learners should be comfortable navigating web applications, using email, and performing fundamental tasks like data entry and document handling. No prior experience with AI or programming is required, as the course provides step-by-step guidance on using Generative AI tools effectively in customer support scenarios.

Who Should Attend

This course is tailored for customer service and support professionals looking to enhance their efficiency and customer interactions using Generative AI. It is ideal for call center agents, help desk representatives, customer success managers, and support team leads who want to streamline response times, automate routine tasks, and provide more personalized support. Whether working in retail, finance, healthcare, or tech support, participants will gain practical AI-driven skills to improve customer satisfaction and operational efficiency. No prior AI knowledge is required.

Curriculum

Instructors

Frequently Asked Questions

How much do the courses at Starweaver cost?

We offer flexible payment options to make learning accessible for everyone. With our Pay-As-You-Go plan, you can pay for each course individually. Alternatively, our Subscription-Based plan provides you with unlimited access to all courses for a monthly or yearly fee.

Do you offer any certifications upon completion of a course at Starweaver?

Yes, we do offer a certification upon completion of our course to showcase your newly acquired skills and expertise.

Does Starweaver offer any free courses or trials?

No, we don't offer any free courses, but we do offer 5-day trial only on our subscriptions-based plans.

Are Starweaver's courses designed for beginners or advanced students?

Our course is designed with three levels to cater to your learning needs - Core, Intermediate, and Advanced. You can choose the level that best suits your knowledge and skillset to enhance your learning experience.

What payment options are available for Starweaver courses?

We accept various payment methods such as major credit cards, PayPal, wire transfer, and company purchase orders. For more information related to payments contact customer support.

Do you offer refunds?

Yes, we do offer a 100% refund guarantee for our courses within a specified time frame. If you are not satisfied with the course, contact our customer support team to request a refund with your order details. Some restrictions may apply.

*Where courses have been offered multiple times, the “# Students” includes all students who have enrolled. The “%Recommended” shown is also based on this data.
1Module 1: Foundations of Generative AI in Customer Service
2Module 2: Implementing AI Tools for Customer Support
3Module 3: Advanced AI Techniques and Best Practices

Segment 01: Introduction and Welcome 

Segment 02: Introduction to Generative AI

Segment 03: Customer Service Use Cases for Generative AI

Segment 04: Mastering Prompt Engineering

Segment 08: Anthropic Visual Analysis for Customer Support

Segment 09: Multimodal Models in Customer Service

Segment 10: Best Practices for AI in Customer Service

Segment 11: Congratulations and Continuous Learning Journey

Segment 05: Creating a Custom GPT with OpenAI

Segment 06: Integrating GPT into Customer Service Workflows

Segment 07: Developing a Google Gem for Email Support

Manas  Dasgupta

Manas Dasgupta

As an instructor specializing in Generative AI, Manas has shared his expertise across esteemed global platforms such as Udemy, O'Reilly, and Packt. With a portfolio of bestselling courses spanning Data Science to Machine Learning, Manas's teaching philosophy centers on breaking down complex concepts into digestible, project-based modules. This hands-on approach enables learners to apply theoretical knowledge in practical settings, empowering them to thrive in the fast-evolving fields of AI and data science.

Driven by a passion for the intersection of education and technology, Manas founded Code4X.dev, an innovative EdTech platform focused on micro-learning in Data Science, Analytics, and Generative AI. The platform delivers bite-sized, application-oriented learning experiences tailored to fit the busy schedules of modern professionals. Through Code4X.dev, Manas is cultivating a dynamic community of learners equipped with the skills necessary to excel in today’s tech-driven landscape.

In addition to individual instruction, Manas also serves as a corporate trainer, delivering specialized training in Generative AI and Data Science to developers and business executives. These sessions blend technical depth with strategic insights, helping organizations leverage AI technologies for innovation and operational excellence. With a strong background in both industry and education, Manas consistently delivers high-impact training experiences tailored to the diverse needs of professionals at every stage of their career.

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