Generative AI The Future of AI-Powered Creativity Pro TM
Understanding Generative AI How It Works, Applications, and Future Trends
0
students
3.5 hours
content
Apr 2025
last update
$19.99
regular price
What you will learn
Students will learn what Generative AI is, its types, and how it's transforming industries.
Students will understand the complete workflow of AI systems from basic AI to advanced deep learning.
Students will explore how large language models generate human-like text for various real-world applications.
Students will identify the limitations of current GenAI models including bias, hallucination, and data constraints.
Students will discover how RAG enhances model accuracy by integrating external knowledge sources.
Students will master the architecture and real-world implementation of RAG with LLMs.
Students will learn how GenAI creates stunning images using tools like DALL·E and Stable Diffusion.
Students will understand how GenAI generates music and visual art through creative AI algorithms.
Students will explore how artists can collaborate with AI tools to enhance creativity and productivity.
Students will learn the role of transformer models and attention mechanisms in GenAI systems.
Students will explore techniques for handling long sequences and dependencies in generated content.
Students will learn how to adapt pre-trained models to specific tasks using various fine-tuning methods.
Students will gain skills to fine-tune GenAI models for industries like healthcare, finance, and legal.
Students will explore how GenAI models combine text, image, audio, and video for richer experiences.
Students will understand how to implement RAG in multimodal systems for intelligent information retrieval.
Students will examine the ethical implications of GenAI, including fairness, privacy, and misinformation.
Students will learn strategies for building responsible, transparent, and accountable AI models.
Students will build a fully functional AI chatbot using LangChain, OpenAI APIs, and retrieval techniques.
Screenshots
6512745
udemy ID
3/11/2025
course created date
4/15/2025
course indexed date
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