oduces learners to the rapidly growing field of artificial intelligence focused on content generation, automation, and intelligent assistance. The course is designed for beginners who want both conceptual understanding and practical exposure to modern AI technologies.
The course begins with an introduction to Generative AI, explaining how AI systems generate text, images, audio, and other forms of content using deep learning models trained on large datasets. Learners explore the foundations of generative models and how they differ from traditional AI systems.
A major section explains how Generative AI works, including neural networks, transformers, token prediction, and Large Language Models (LLMs). Learners gain insight into the technologies powering tools like ChatGPT and modern AI assistants.
The course also introduces popular Generative AI tools used across industries for productivity, automation, creativity, and software development. Learners explore AI-powered writing assistants, coding tools, image generators, and workflow automation platforms.
Practical tutorials include creative AI applications such as Midjourney, where learners see how text prompts can generate AI-created images and artwork. Prompt engineering concepts are introduced to help learners improve AI outputs through effective instruction design.
Business applications of Generative AI are also discussed, including customer support, content creation, analytics, education, and enterprise automation. The course highlights how organizations are integrating AI technologies into real-world workflows.
By the end of the course, learners will understand Generative AI fundamentals, transformer-based models, LLM concepts, prompt engineering basics,
