Generative AI The Future of AI-Powered Creativity Pro TM

About this course

Unlock the power of Generative AI, the most transformative technology of the 21st century. From text and image generation to multimodal learning and Retrieval-Augmented Generation (RAG), this course offers a step-by-step journey through the core components, real-world applications, and ethical considerations of Generative AI.Learn how Large Language Models (LLMs) like GPT, transformer architectures, and domain-specific fine-tuningare reshaping content creation, automation, and AI innovation across industries.

Whether you're a developer, data scientist, AI enthusiast, or a digital creative, this course equips you with hands-on skills and strategic insights to build cutting-edge AI solutions — including chatbots using LangChain + OpenAI.1. Introduction to Generative AI

What is Generative AI?

Types: Text, Image, Audio, Code

Use cases across industries (marketing, healthcare, education)2. How Generative AI Works End-to-End | AI → ML → DLOverview of AI, Machine Learning, Deep LearningKey concepts in Neural Networks

Training vs Inference vs Deployment3. Text Generation Using Generative AIUnderstanding LLMs (GPT, BERT, T5)Applications in text summarization, translation, storytelling4. Challenges and Limitations of Current Text Generation AIBias, hallucination, prompt limitations

Computational cost, token limits5. Retrieval-Augmented Generation (RAG) in AI – Enhancing Model Knowledge

What is RAG and why it matters

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