Description
Short Description
Discover the basics of Generative AI and learn how modern AI tools can create text, images, ideas, summaries, documents, and other digital content.
Course Description
The Introduction to Generative AI course is designed for beginners who want to understand the rapidly growing world of Generative Artificial Intelligence and its practical applications.
Generative AI is a branch of Artificial Intelligence that enables computer systems to generate new content based on instructions, patterns, and information. Modern Generative AI technologies can assist users in creating written content, generating ideas, summarizing information, producing images, supporting research, and improving workplace productivity.
This course introduces learners to the basic principles of Generative AI and explains how these technologies are changing the way individuals and businesses work.
Learners will explore how Generative AI tools respond to user instructions, generate content, and assist with professional tasks. The course also introduces the importance of writing clear instructions, reviewing AI-generated information, and using human judgment when working with AI.
Participants will discover practical applications of Generative AI in business, education, administration, marketing, customer service, sales, content creation, and personal productivity.
The course also introduces important responsible-use considerations, including privacy, accuracy, bias, security, and the need to review AI-generated outputs before using them for important decisions.
This beginner-friendly course does not require programming knowledge or previous technical experience.
It is suitable for students, employees, business professionals, entrepreneurs, freelancers, managers, and anyone interested in learning how Generative AI can be used in everyday professional and business environments.
Level
Beginner
Duration
5–7 Hours
Lessons
20 Lessons
What You Will Learn
- Introduction to Generative AI
- Understanding what Generative AI is
- How Generative AI differs from traditional AI
- Understanding AI-generated content
- Introduction to AI language models
- How AI generates written content
- AI-assisted idea generation
- AI-assisted research and summaries
- Creating documents with AI assistance
- Introduction to AI image generation
- Generative AI for business
- Generative AI in the workplace
- Generative AI for productivity
- Generative AI for marketing
- Generative AI for customer service
- Generative AI for sales
- Writing clear instructions for AI
- Reviewing AI-generated outputs
- Understanding AI limitations
- Responsible use of Generative AI
CBT Examination
CBT Exam Included
After completing the Introduction to Generative AI course, learners will take a Computer-Based Test (CBT) to assess their understanding of the course materials.
The CBT examination will cover important topics taught throughout the course, including:
- Generative AI fundamentals
- AI-generated content
- AI language models
- Generative AI applications
- AI productivity tools
- Business uses of Generative AI
- Writing instructions for AI
- Reviewing AI outputs
- AI limitations
- Privacy and security
- Responsible AI practices
The examination is designed to evaluate the learner’s understanding of the key concepts and practical uses of Generative AI covered in the course.
Certificate
Certificate of Completion
Upon successful completion of the course and the required CBT examination, eligible learners will receive a Certificate of Completion.
Recommended Courses
Students who enroll in Introduction to Generative AI may also be interested in:
- Generative Artificial Intelligence
- AI Tools for Professionals
- Prompt Engineering
- AI Productivity Tools
- AI-Powered Content Creation
- AI for Business
- Responsible Artificial Intelligence
Product Highlights
- 100% Online Professional Course
- Beginner-Friendly Training
- No Programming Experience Required
- 5–7 Hours of Learning
- 20 Professional Lessons
- Learn at Your Own Pace
- CBT Examination Included
- Certificate of Completion
- Introduction to Generative AI
- Practical AI Applications
- AI Productivity Skills
- Responsible AI Fundamentals
- Accessible Online
