Fundamentals of Using Generative AI
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What you'll learn
Students will learn to design effective prompts to optimize interaction with Generative AI, unlocking its full potential.
Students will acquire skills to use Generative AI in diverse contexts, from content creation to complex problem-solving.
Students will understand ethical guidelines for Generative AI to ensure responsible use and applications across professional domains.
Skills you'll gain
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Details to know
February 2026
6 assignments
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There are 4 modules in this course
This course is primarily intended for university students, professionals from various fields, and technology enthusiasts who are interested in understanding the impact and applications of Generative Artificial Intelligence. From communicators seeking to explore new creative tools to educators, programmers, and scientists aiming to integrate this technology into their daily work, the content has been carefully designed to be accessible and relevant to a broad and diverse audience.
Throughout this course, participants will discover the fundamentals of Generative AI, explore its connection to broader concepts such as machine learning and deep learning, and gain an understanding of how chatbots based on Large Language Models (LLMs) operate. A central element of this course is learning about prompts and their advanced use. Prompts are carefully formulated instructions or questions that enable effective interaction with language models to obtain precise and relevant results. As we progress, students will not only understand how to structure basic prompts but also how to employ advanced prompting techniques to maximize the utility and creativity of Generative AI tools, adapting them to specific needs within their professional workflows. Through explanatory videos, interactive readings, hands-on activities, and critical reflections, students will develop key competencies to analyze, apply, and critically assess this emerging technology, laying the groundwork for its integration into innovative projects and professional solutions.
This course offers a comprehensive overview of Generative Artificial Intelligence, encompassing its theoretical foundations, practical applications, use cases, and ethical considerations. The functioning of Large Language Models (LLMs), such as GPT, will be explored in detail, and effective prompting techniques will be taught to optimize the results generated by these tools.
What's included
4 videos9 readings2 assignments
4 videosβ’Total 18 minutes
- Discover the Foundations of Generative AIβ’3 minutes
- Introduction to AI: Definition, levels, and models β Part 1β’7 minutes
- Introduction to AI: Definition, levels, and models β Part 2β’5 minutes
- Introduction to AI: Definition, levels, and models β Part 3β’3 minutes
9 readingsβ’Total 90 minutes
- Navigating the World of Generative AIβ’10 minutes
- Evolution of Artificial Intelligence: From Its origins to Generative AIβ’10 minutes
- What is Artificial Intelligence?β’10 minutes
- What is Machine Learning?β’10 minutes
- What is Deep Learning?β’10 minutes
- From Data to Creation: The Path of AIβ’10 minutes
- Interaction with Chatbots: Roles and Conversational Dynamicsβ’10 minutes
- How the "AI Student" Prompt is designedβ’10 minutes
- Considerations on the use of content generated with Artificial Intelligenceβ’10 minutes
2 assignmentsβ’Total 20 minutes
- Interaction with Chatbots: Roles and Conversational Dynamicsβ’10 minutes
- Module 1 - Quizβ’10 minutes
What's included
3 videos8 readings2 assignments
3 videosβ’Total 13 minutes
- Fundamentals of Prompting β Part 1β’4 minutes
- Fundamentals of Prompting β Part 2β’4 minutes
- Fundamentals of Prompting β Part 3β’5 minutes
8 readingsβ’Total 125 minutes
- Understanding Prompt Engineering in language models (LLMs)β’20 minutes
- Key elements of an effective promptβ’20 minutes
- Key elements of an effective prompt: The function of role assignmentβ’15 minutes
- Key elements of an effective prompt: Defining the taskβ’15 minutes
- Prompting challenge: Design, evaluate, and iterate your promptβ’15 minutes
- Comparative Analysis of Generative AI Models (January 2026)β’15 minutes
- Clarity and strategy in prompts: How to improve your results when interacting with LLMsβ’15 minutes
- Recommended readingsβ’10 minutes
2 assignmentsβ’Total 60 minutes
- Effective prompts for communicating with Generative AIβ’30 minutes
- Module 2 - Quizβ’30 minutes
What's included
3 videos5 readings1 assignment
3 videosβ’Total 29 minutes
- Structuring a prompt to enhance creativity in idea generation: Spark & Shapeβ’10 minutes
- Compose targeted prompts for problem resolution and task organization: Solve & Probeβ’10 minutes
- Compose targeted prompts for problem resolution and task organization: Draft & Trackβ’9 minutes
5 readingsβ’Total 90 minutes
- Prompting frameworksβ’15 minutes
- Spark and Shape frameworksβ’15 minutes
- Solve, Probe, Draft, and Track frameworksβ’15 minutes
- Practical application of the frameworksβ’15 minutes
- Guided practice for prompt buildingβ’30 minutes
1 assignmentβ’Total 30 minutes
- Module 3 - Quizβ’30 minutes
What's included
3 videos6 readings1 assignment
3 videosβ’Total 22 minutes
- Case No. 1 - Responsible use of Generative AIβ’8 minutes
- Case No. 2 - Responsible use of Generative AI β’8 minutes
- Case No. 3 - Responsible use of Generative AI β’6 minutes
6 readingsβ’Total 85 minutes
- The ethical and responsible use of Generative Artificial Intelligenceβ’10 minutes
- Universidad de los Andes guidelines on Generative AIβ’15 minutes
- Three cases for reflection on Generative AIβ’10 minutes
- Ana's decision: Generative AI in researchβ’10 minutes
- Santiago's decision: Generative AI in university administrationβ’10 minutes
- Guided practice for applying Universidad de los Andes guidelines on Generative AI Useβ’30 minutes
1 assignmentβ’Total 30 minutes
- Module 4 - Quizβ’30 minutes
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Alberta Machine Intelligence Institute
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