Generative AI for Business (GAB)
Boost your Business abilities with this Generative AI for Business course. Learning how integrate AI into your business is crucial to any company’s success.
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Docnito's 1.5 Month Course
Ready for a new start? This course includes 90 hours of training and is worth 6 credits. This training course is designed to equip you with the fundamentals needed enhance your business with AI integration.
Why Take a Business AI Course?
This program was built to help people learn how to utilize AI to make their business operate more efficiently. As AI technology advances on the daily it is becoming more crucial than ever for businesses to successfully integrate it.
Why Choose Docnito?
- This is a transferable Pathway Course. Our partner college, the award winning CanScribe College accepts Docnito course credits allowing you to use this course as a transfer credit to CanScribe College.
- Docnito courses are also asynchronous allowing you to complete the course as fast as you would like and at whatever times you'd like.
- Our courses are 100% online, which means you never have to leave home to attend classes!
About This Course
Learn the Fundamentals in Just 1.5 Month!
Program Details
WHAT YOU WILL LEARN
Generative AI for Business course examines how businesses can leverage generative AI technologies to improve and optimize a wide range of practices. Throughout this course, students will explore a range of generative AI applications, from content creation to customer support, and examine case studies showcasing the effective deployment of AI in various fields and industries.
You will learn to:
- Prompt engineering.
- Integration and compatibility of AI systems.
- Reporting and executive summaries.
- Demand forecasting.
- AI Market Research.
Tuition
Check out our tuition page to see how our credits and tuition work.
Requirements
This program follows an open admission policy and does not require specific academic prerequisites. Applicants are expected to possess basic literacy, numeracy, and computer skills sufficient to participate in course activities. Enrollment is finalized upon completion of the application process and payment of applicable fees.
Curriculum
Chapter 1: Introduction to Generative AI
Students will explore the history of generative AI. They will also consider a range of ways that generative AI can be used in a business context, and the risks and benefits that generative AI can pose.
Chapter 2: Key Concepts
Students will gain a functional understanding of the key concepts behind generative AI. They will consider the basic operations of large language models, and the key principles of prompt engineering.
Chapter 3: Business Applications
Students will examine a range of business applications for generative AI through case studies and hands-on learning activities.
Chapter 4: Implementation and Integration
Students will consider the infrastructure that businesses need to implement a range of generative AI-powered tools. They will also examine the best practices for integrating and optimizing generative AI into a business’s existing workflows.
Chapter 5: Growth and Scaling
Students will consider the ways in which generative AI will impact a business’s ability to scale. They will explore data-driven growth tactics and in the use of generative AI in budget and demand forecasting.
Chapter 6: Content Creation
Students will experiment with a range of generative AI content creation tactics. They will learn how to structure various kinds of AI-generated content and learn to evaluate and modify AI content generations.
Chapter 7: Customer Experience and Support
Students will learn the foundational principles of customer experience (CX). They will explore a range of strategies for using generative AI tools to improve CX, such as chatbots and personalized touchpoints.
Chapter 8: Ethics, Responsibility, and Governance
Students will explore the best practices for data management and privacy when working with generative AI tools. They will also explore potential ethical issues that can arise with generative AI tools, and best practices for ensuring their AI-assisted work is
transparent and explainable.
Supplemental Content
Extension Learning Activities
- Additional readings, research activities, and discussion opportunities are provided throughout the text to enhance students’ understanding.
Course Project
- Generative AI implementation plan.
Exams and Evaluation
- Midterm and final exams, chapter reviews.