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AI Business School
You will:
- Intensively practice and apply AI-driven customer care and after sales-specific use cases—making AI a daily companion in your workflows and daily job routines.
- Start to use AI technologies into your daily sales activities with hands-on exercises in interactive playgrounds and sandbox environments, increasing your confidence to experiment, iterate, and optimize AI-driven tools and technologies right in the course.
Read more
You will:
- Intensively practice and apply AI-driven customer care and after sales-specific use cases—making AI a daily companion in your workflows and daily job routines.
- Start to use AI technologies into your daily sales activities with hands-on exercises in interactive playgrounds and sandbox environments, increasing your confidence to experiment, iterate, and optimize AI-driven tools and technologies right in the course.
Read more
You will:
- Intensively practice and apply AI-driven customer care and after sales-specific use cases—making AI a daily companion in your workflows and daily job routines.
- Start to use AI technologies into your daily sales activities with hands-on exercises in interactive playgrounds and sandbox environments, increasing your confidence to experiment, iterate, and optimize AI-driven tools and technologies right in the course.
- Master prompting techniques & discover prompting libraries for different Generative AI models for example, to craft high-impact support scripts, customer engagement strategies, and service enhancement initiatives—unlocking new ways to proactively address customer concerns and increase overall satisfaction.
- Get inspired by participating in a project to conceptualize a personalized AI use case for your job role.
Welcome to the unique “Practical AI and prompting for customer care professionals” course. Just start your AI journey and discover all the fascinating opportunities opened up for you by Artificial Intelligence.
Register for this course and see more details by visiting:
OpenCourser.com/course/llkfj8/practical
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What's inside
Syllabus
Job-specific use case training for customer care
In this module you will get familiar with as well as try out and practice various customer care job-specific AI use cases that are truly relevant to your everyday professional life. You will interact with preconfigured, easy-to-use apps across eight core areas gaining hands-on experience with how AI responds to different inputs. By the end of the module, you will have tangible insights into AI capabilities, access to comprehensive resources detailing the use case areas and 50 customer care-specific examples.
Read more
Syllabus
Job-specific use case training for customer care
In this module you will get familiar with as well as try out and practice various customer care job-specific AI use cases that are truly relevant to your everyday professional life. You will interact with preconfigured, easy-to-use apps across eight core areas gaining hands-on experience with how AI responds to different inputs. By the end of the module, you will have tangible insights into AI capabilities, access to comprehensive resources detailing the use case areas and 50 customer care-specific examples.
Read more
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Practical AI and prompting for customer care professionals.
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Career center
Learners who complete Practical AI and prompting for customer care professionals will develop knowledge and skills
that may be useful to these careers:
Customer Service Representative
Customer Service Representative
A Customer Service Representative directly assists customers with inquiries, issues, and requests. This role is fundamental to any organization's interaction with its client base. The "Practical AI and prompting for customer care professionals" course directly equips an aspiring or current Customer Service Representative with cutting-edge tools to excel. You will learn to integrate AI technologies into your daily workflows, using prompting techniques to craft high-impact support scripts and personalize customer interactions. This skill set helps proactively resolve concerns and significantly increase overall customer satisfaction, making you an invaluable asset in a rapidly evolving service landscape.
Contact Center Agent
Contact Center Agent
A Contact Center Agent is on the front lines, engaging with customers primarily through phone, chat, or email to provide support and resolve issues. The "Practical AI and prompting for customer care professionals" course is specifically designed for roles like Contact Center Agent, offering hands-on training in AI use cases relevant to daily operations. You will intensively practice using AI to enhance your interactions, mastering prompting techniques to generate accurate responses and support scripts efficiently. Integrating these AI technologies into your daily routines will help you handle customer concerns more effectively, reduce resolution times, and contribute to higher customer satisfaction.
Customer Experience Manager
Customer Experience Manager
A Customer Experience Manager shapes an organization's overall customer journey, aiming to optimize every interaction point for satisfaction and loyalty. This strategic role benefits immensely from the insights gained in the "Practical AI and prompting for customer care professionals" course. You will discover how to leverage AI-powered tools and master prompting techniques to design innovative customer engagement strategies and drive service enhancement initiatives. The ability to conceptualize a personalized AI use case for your job role, as taught in this course, directly prepares you to implement transformative solutions that proactively address customer concerns and elevate the entire customer experience.
Customer Journey Strategist
Customer Journey Strategist
A Customer Journey Strategist meticulously maps and optimizes every touchpoint a customer has with an organization, from initial awareness to post-purchase support, aiming for seamless and positive experiences. This strategic role finds immense value in the "Practical AI and prompting for customer care professionals" course. You will learn to integrate AI technologies into customer engagement strategies and master prompting techniques to craft service enhancement initiatives. The hands-on project to conceptualize a personalized AI use case directly prepares you to design and implement innovative solutions that proactively address customer concerns and refine the entire customer journey, driving heightened satisfaction.
Customer Advocacy Manager
Customer Advocacy Manager
A Customer Advocacy Manager focuses on nurturing strong customer relationships, encouraging positive word-of-mouth, and turning satisfied customers into brand advocates. The "Practical AI and prompting for customer care professionals" course directly supports the strategic goals of a Customer Advocacy Manager. You will learn to apply AI-driven tools and master prompting techniques to enhance customer engagement strategies and develop initiatives that proactively address concerns. The hands-on practice in crafting personalized communications and service enhancements empowers you to build deeper connections and increase overall satisfaction, which is crucial for fostering advocacy.
Client Success Manager
Client Success Manager
A Client Success Manager is dedicated to fostering long-term relationships with clients, ensuring they achieve value from products or services, and proactively addressing their evolving needs. This course, "Practical AI and prompting for customer care professionals," helps elevate the capabilities of a Client Success Manager by integrating AI into client engagement strategies. You will learn to use AI-powered tools and prompting techniques to identify and proactively address client concerns, personalize communications, and craft effective service enhancement initiatives. The hands-on experience allows you to confidently experiment with AI-driven tools, securing client satisfaction and driving sustained client success.
Digital Customer Engagement Specialist
Digital Customer Engagement Specialist
A Digital Customer Engagement Specialist focuses on optimizing customer interactions across various digital channels, including social media, chat, and email, to build relationships and ensure satisfaction. The "Practical AI and prompting for customer care professionals" course significantly enhances the capabilities of a Digital Customer Engagement Specialist. You will discover AI-powered tools to enhance your daily tasks, gaining immediate hands-on experience with applying AI-driven customer care use cases. Mastering prompting techniques helps you craft high-impact customer engagement strategies and proactively address customer concerns, elevating digital service initiatives and increasing overall satisfaction.
Technical Support Specialist
Technical Support Specialist
A Technical Support Specialist assists users with technical problems, providing solutions and guidance for products or services. For an aspiring or current Technical Support Specialist, the "Practical AI and prompting for customer care professionals" course offers invaluable skills in leveraging AI to streamline support processes. You will gain hands-on experience applying AI to common support scenarios, mastering prompting techniques to quickly access relevant information, generate troubleshooting steps, or craft clear customer communications. This integration of AI into daily workflows helps you proactively address complex technical concerns, improve response times, and enhance overall user satisfaction effectively.
Service Desk Analyst
Service Desk Analyst
A Service Desk Analyst serves as the primary point of contact for users experiencing IT-related issues or seeking services, providing initial troubleshooting and escalating when necessary. The "Practical AI and prompting for customer care professionals" course provides practical skills that greatly benefit a Service Desk Analyst. You will gain hands-on experience with AI-powered tools, learning to master prompting techniques to quickly diagnose common problems, access solution databases, or craft effective responses to user queries. This integration of AI helps you proactively address user concerns, improve incident resolution times, and deliver more personalized and efficient support.
Product Support Specialist
Product Support Specialist
A Product Support Specialist provides expert assistance and guidance for specific products, helping customers resolve issues and maximize their product usage. For a Product Support Specialist, the "Practical AI and prompting for customer care professionals" course provides practical skills in leveraging AI to enhance support. You will gain hands-on experience with AI-powered tools and master prompting techniques to efficiently address product-specific inquiries, generate tailored troubleshooting steps, and create clear user guidance. This ability to integrate AI into your daily workflows helps you proactively solve customer problems and contribute to increased user satisfaction with the product.
Business Analyst Customer Facing Solutions
Business Analyst Customer Facing Solutions
A Business Analyst Customer Facing Solutions identifies business needs, analyzes data, and designs technology-driven solutions that improve customer interactions and experiences. The "Practical AI and prompting for customer care professionals" course offers direct relevance for a Business Analyst Customer Facing Solutions, particularly through its dedicated module on Customer care AI Use Case Design. You will learn to conceptualize, refine, and blueprint practical AI use cases tailored to real-world customer care challenges. This hands-on experience in generating targeted ideas, detailing benefits, impact, and risks, equips you to effectively integrate AI into business solutions that proactively address customer concerns and enhance satisfaction.
Sales Support Specialist
Sales Support Specialist
A Sales Support Specialist plays a crucial role in enabling the sales team, often by preparing materials, responding to customer inquiries, and managing aspects of the post-sale process. The "Practical AI and prompting for customer care professionals" course provides a unique advantage for this role by explicitly addressing AI use cases in daily sales activities and after-sales support. You will master prompting techniques to craft compelling customer engagement strategies and respond efficiently to client needs. The ability to integrate AI into your workflows, gained through hands-on exercises, positions you to significantly enhance efficiency and support sales goals.
Community Manager
Community Manager
A Community Manager builds and nurtures online communities around a brand or product, engaging with members, addressing their questions, and fostering a positive environment. The "Practical AI and prompting for customer care professionals" course may be helpful for a Community Manager looking to enhance their engagement strategies. You will explore how AI-powered tools and prompting techniques can assist in crafting high-impact customer engagement strategies and proactively addressing community concerns. The practical experience in integrating AI into daily workflows can help streamline content creation and response management, potentially fostering a more vibrant and responsive community.
Quality Assurance Specialist Customer Service
Quality Assurance Specialist Customer Service
A Quality Assurance Specialist Customer Service evaluates customer interactions to ensure adherence to standards, identify areas for improvement, and enhance overall service quality. This course, "Practical AI and prompting for customer care professionals," may be helpful for a Quality Assurance Specialist Customer Service as it provides insights into leveraging AI for service excellence. You will learn about crafting high-impact support scripts and service enhancement initiatives using prompting techniques, which can inform quality benchmarks and training programs. Understanding how AI can be integrated into daily customer care workflows helps in assessing the effectiveness of AI-driven tools and optimizing customer interactions.
Training Specialist Customer Care
Training Specialist Customer Care
A Training Specialist Customer Care designs and delivers educational programs that equip customer service teams with the skills and knowledge needed to excel. The "Practical AI and prompting for customer care professionals" course may be useful for a Training Specialist Customer Care seeking to integrate modern AI tools into their curriculum. You will gain hands-on experience with AI-driven customer care use cases and master prompting techniques, which are essential skills for contemporary professionals. This understanding of practical AI applications can help you develop relevant training modules, ensuring your teams are equipped to use AI effectively for crafting support scripts and enhancing service initiatives.
For more career information including salaries, visit:
OpenCourser.com/course/llkfj8/practical
Reading list
We haven't picked any books for this reading list yet.
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A non-technical book that explores the global AI landscape, the impact of AI on society, and the ethical challenges that arise from the rapid development of AI technologies.
A textbook that presents AI from a computational perspective, covering topics such as agents, knowledge representation, reasoning, and planning. Suitable for readers with a background in computer science or mathematics.
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A thought-provoking book that explores the potential implications of AI for human society, such as the possibility of a technological singularity and the need for new ethical frameworks.
A classic textbook on reinforcement learning, a subfield of AI concerned with learning from interaction with the environment. Covers both theoretical concepts and practical algorithms, with a focus on real-world applications.
A free online book that provides a gentle introduction to machine learning, covering topics such as linear regression, logistic regression, and neural networks. Suitable for beginners with no prior knowledge of AI or machine learning.
A comprehensive textbook that provides a broad overview of the field, covering topics such as problem-solving, learning, machine learning, and natural language processing. Suitable for both beginners and advanced learners.
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A highly cited and influential book that focuses on deep learning, a subfield of AI concerned with constructing models for complex data. Covers theoretical concepts, popular algorithms, and practical applications.
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A popular science book that discusses the development of AI algorithms and their potential impact on various aspects of human life, such as healthcare, transportation, and finance.
A practical guide to natural language processing (NLP) using Python, covering topics such as text classification, sentiment analysis, and machine translation. Suitable for beginners with some programming experience.
A short but powerful book that explores the potential benefits and risks of AI, as well as the ethical dilemmas that need to be addressed as AI becomes more advanced.
A comprehensive German-language textbook that provides a broad overview of AI, covering topics such as search, knowledge representation, and machine learning. Suitable for both beginners and advanced learners.
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A French-language textbook that focuses on machine learning, a subfield of AI. Covers topics such as supervised learning, unsupervised learning, and deep learning. Suitable for beginners with some programming experience.
A comprehensive textbook that covers probabilistic graphical models (PGMs), a powerful tool for representing and reasoning about complex systems. Suitable for advanced learners with a background in probability and statistics.
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Explores the potential applications of generative AI in healthcare, discussing how it could be used to improve patient care and accelerate drug discovery. It is written by Eric Topol, a leading researcher in the field.
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Provides a practical guide to using generative AI, covering the different techniques and tools available. It is written by two leading experts in the field, Josh Patterson and Adam Gibson.
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Explores the potential impact of generative AI on society, discussing how it could be used to solve social problems and improve quality of life. It is written by Kai-Fu Lee, a leading researcher in the field.
Explores the potential impact of generative AI on the economy, discussing how it could be used to create new jobs and improve productivity. It is written by two leading experts in the field, Erik Brynjolfsson and Andrew McAfee.
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Explores the potential impact of generative AI on the law, discussing how it could be used to automate legal processes and improve access to justice. It is written by Ryan Abbott, a leading researcher in the field.
Explores the potential applications of generative AI in climate change, discussing how it could be used to model climate change and develop solutions. It is written by Andrew Ng, a leading researcher in the field.
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Provides a business-oriented perspective on generative AI, discussing its potential impact on industries and how companies can use it to gain a competitive advantage. It is written by three leading experts in the field, Thomas Davenport, Rajeev Ronanki, and Nitin Mittal.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/llkfj8/practical
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Similar courses
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Level
Intermediate
Via
Coursera
Institution
AI Business School
Instructor
AI Business School
Session
November 3, 2025
- December 8, 2025
Language
English
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