[Free] Introduction To Generative Ai For High Schoolers
Beginner’s guide to Generative AI – Free Course
What you’ll learn
- Understand core concepts of AI, NLP, and deep learning.
- Explain how generative AI and large language models function.
- Create a customized GPT solution using accessible tools.
- Apply ethical and responsible practices in real-world AI projects.
Requirements
- No prerequisites. No programming experience needed. You will learn everything you need to know
- Important Notice: This course is designed with young learners in mind, and as per Udemy's guidelines, it is intended for purchase and supervision by adults, such as parents or guardians. Please ensure that an adult is responsible for the account creation, enrollment, and management of the course usage for learners under 18.
Description
This comprehensive course provides an engaging introduction to the exciting world of Artificial Intelligence (AI) for learners who want both a foundational understanding and hands-on exposure. We begin by demystifying AI, exploring its history, core principles, and how modern machine learning techniques allow machines to learn and adapt. Next, we dive into Natural Language Processing (NLP) to see how computers interpret human language for tasks such as text analysis and chatbots. The journey continues with an overview of deep learning, where neural networks extract patterns from large datasets to accomplish tasks ranging from image recognition to predictive analytics. Along the way, students gain a big-picture view of how AI has evolved—from simple rule-based systems to today’s generative models that create entirely new pieces of content on their own. The course then focuses on how generative AI works under the hood, giving learners a chance to explore Large Language Models (LLMs) such as GPT-style systems and popular image-generation models. Through demonstrations and guided practice, participants discover how these advanced models produce text, images, or other media based on their training. We discuss the ethical considerations and responsible use of AI, equipping students to identify potential misuse and maintain best practices regarding bias, privacy, and transparency. Finally, we introduce a simple path to building a custom GPT solution—providing a step-by-step roadmap that enables enthusiasts to create specialized Q&A or creative applications without writing code. By the end of the course, learners will feel confident discussing AI fundamentals, applying generative models, and critically evaluating AI’s impact on society. Author(s): Sai Pranav Raketla
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