This beginner-friendly generative AI course introduces the core concepts and practical applications of modern artificial intelligence, especially Large Language Models (LLMs). It is designed for learners who want to understand AI step by step while also building real-world applications.
The course begins with an introduction to generative AI and explains how LLMs work at a high level. You will explore different AI models, understand their differences, and learn how to evaluate and compare them for various use cases.
Next, the course focuses on responsible AI usage, including ethical considerations and safe deployment of generative systems. It then introduces the fundamentals of prompt engineering, showing how to design effective prompts that improve AI responses.
You will also learn how to create advanced prompts and build practical AI applications such as text generation tools and AI chatbots. The course further expands into building search applications using vector databases and retrieval techniques, which are essential for modern AI systems like RAG.
In addition, learners will explore image generation applications and low-code AI development tools, making it easier to build AI-powered solutions without deep programming knowledge.
By the end of this course, you will have a strong foundation in generative AI and be able to build simple but powerful AI applications, including chat systems, search tools, and content generation pipelines.
