This Generative AI for Beginners course provides a structured introduction to modern generative artificial intelligence, large language models (LLMs), and practical AI application development. It is designed for beginners who want to understand both the concepts and hands-on implementation of AI systems.
The course begins with an introduction to generative AI and its role in modern technology. It then explores different large language models, helping learners understand how they compare and how they are used in real-world applications.
A major focus is prompt engineering, where learners are taught how to design effective prompts to get accurate and useful outputs from AI models. The course also covers advanced prompting techniques for better control over model behavior.
Learners then move into building AI applications, including text generation systems, chatbots, and search applications powered by vector databases. These sections demonstrate how embeddings and retrieval systems work in modern AI pipelines.
The course also includes building image generation tools and low-code AI applications, making it easier for beginners to develop functional AI systems without deep programming complexity.
Additional topics include function calling, integration with external applications, UX design for AI systems, and security best practices for generative AI applications.
By the end of the course, learners gain a solid foundation in LLMs, prompt engineering, and AI application development, enabling them to build and deploy real-world generative AI solutions.
