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In this *Generative AI Course* , we will dive into Generative AI, exploring its definition, key examples, and diverse applications and examples. We'll also discuss the evolution of generative AI, highlight its potential future impact, and showcase an LLM project. Using the Python programming language, streamlit, and Google Gemini API, we will build a healthcare assistant that Analyzes medical diseases like chicken pox, etc. This video is ideal for tech enthusiasts and beginners alike, as it unpacks generative AI's transformative role in the tech world.
✅ 00:00 - Introduction to Generative AI
✅ 01:26 - What is Generative AI?
✅ 02:02 - Generative AI Examples
✅ 02:38 - Applications of Generative AI
✅ 05:01 - Evolution of Generative AI
✅ 05:56 - What is LLM?
✅ 08:04 - Structure of LLM
✅ 10:23 - How LLM Works?
✅ 10:52 - Real Life example of LLM
✅ 11:20 - LLM project
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What are the Outcomes after learning a Generative AI course?
Upon completing the Introduction to Generative AI Fundamentals Course, participants will attain the following learning outcomes:
Develop a comprehensive understanding of generative AI, including its principles, applications, and significance across various domains.
Gain practical experience through interactive sessions and exercises, enabling participants to apply theoretical concepts to real-world scenarios.
Why Learn a Generative AI course?
Enroll in the Introduction to Generative AI Fundamentals course to acquire a thorough grasp of generative models, covering everything from basic concepts to cutting-edge uses. Delve into ethical considerations and practical techniques for creating generative AI solutions for actual industry situations, equipping you for various positions in AI advancement and creativity.
Who should learn Generative AI courses?
This course on Introduction to Generative AI is perfect for individuals aiming to pursue a career in AI, including data scientists, researchers, and developers who wish to explore generative models. It is also beneficial for professionals in various sectors, such as software development, marketing, and retail, who want to utilize AI for problem-solving and innovation.
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