Udemy - Master Generative Ai - Unlock Ai-Powered Innovation

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Udemy - Master Generative Ai - Unlock Ai-Powered Innovation (Size: 1.4 GB)
  1 - QuizIntroduction to Artificial Intelligence.html 512 B
  1 - Welcome and Course Overview.mp4 66.3 MB
  10 - Exploring the Diversity of Generative Models.mp4 54.5 MB
  10 - Introduction-to-Generative-Models.pdf 22.1 KB
  10 - QuizPrompt Engineering.html 204.8 B
  11 - Introduction to GANs Generative Adversarial Networks.mp4 52.3 MB
  12 - GAN Components and Variants.mp4 65.9 MB
  13 - Diversity of Generative Models.mp4 58 MB
  14 - DemoGenerator and discriminator.mp4 71.7 MB
  14 - Generator-Discriminator-Python-Code.pdf 245.6 KB
  15 - Challenges Ethical Considerations and Future Trends.mp4 82.3 MB
  15 - Generative-Adversarial-Networks.pdf 122.1 KB
  16 - Introduction to VAE Variants CVAE VQVAE.mp4 25.1 MB
  16 - Variational-Autoencoders.pdf 399.8 KB
  17 - Code-Variational-Autoencoder-VAE-for-MNIST-Digit-Reconstruction.pdf 234.5 KB
  17 - DemoVariational Autoencoder VAE for MNIST Digit Reconstruction.mp4 25.5 MB
  18 - Autoencoders.pdf 22.2 KB
  18 - What are Autoencoders.mp4 17.9 MB
  19 - Autoencoderbased Image Compression and Denoising Demo.mp4 31.3 MB
  19 - Code-Autoencoder-based-Image-Compression-and-Denoising.pdf 237.1 KB
  2 - Introducing Artificial Intelligence.mp4 20.3 MB
  2 - Introduction-to-Artificial-Intelligence.pdf 156.7 KB
  2 - Quiz What are Neural Networks.html 204.8 B
  20 - Introducing Large Language Models LLMs.mp4 44.2 MB
  21 - Decoding the Architecture of LLMs.mp4 19.6 MB
  21 - Large-Language-Models-in-Generative-AI.pdf 24.3 KB
  22 - Transformerbased generative models.mp4 46 MB
  23 - Examples of transformerbased generative models.mp4 65.9 MB
  23 - Introducing-Transformer.pdf 9.9 KB
  24 - DemoTransformer Based Translator.mp4 18.5 MB
  24 - Transformer-Code-Language-Translation.pdf 223.7 KB
  25 - DemoTransformer Based Sentiment Analysis.mp4 13.6 MB
  25 - sentiment-analysis.pdf 222.4 KB
  26 - Demo Creative Content Generation with Generative AI.mp4 30.2 MB
  26 - Demo-Creative-Content-Generation-with-Generative-AI.pdf 228.8 KB
  27 - DemoTransformer Based Text Generation.mp4 23 MB
  27 - Transformer-Code-Text-Generation.pdf 227.8 KB
  28 - Introduction To Prompt Engineering.mp4 25.3 MB
  29 - Prompt Design Fundamentals.mp4 13.3 MB
  3 - Quiz Deep Learning.html 204.8 B
  3 - Types Of Learning In AI.mp4 15.2 MB
  3 - Unveiling-the-Types-of-Learning-in-AI.pdf 121.9 KB
  30 - Prompt Engineering for Text Generation.mp4 13.9 MB
  31 - Evaluating and Improving Prompts.mp4 25 MB
  32 - RealWorld Applications of Prompt Engineering.mp4 16.6 MB
  33 - Prompt Patterns.mp4 26.3 MB
  34 - Persona Pattern.mp4 32.6 MB
  35 - Question Refinement Pattern.mp4 28.3 MB
  36 - Audience Persona Pattern.mp4 48.1 MB
  36 - Crafting-Effective-Prompts.pdf 10.2 KB
  4 - Introduction to Neural Networks.mp4 84.8 MB
  4 - Quiz Introduction To Generative Models.html 204.8 B
  4 - What-are-Neural-Networks.pdf 11.9 KB
  5 - Deep-Learning-A-Comprehensive-Overview.pdf 26.2 KB
  5 - Introduction To Deep Learning.mp4 68.5 MB
  5 - Quiz Generative Adversarial Networks.html 204.8 B
  6 - Generative AI and its Applications and Importance.mp4 112.4 MB
  6 - QuizVariational Autoencoder.html 204.8 B
  7 - Demo-DeepFace.pdf 221.1 KB
  7 - DemoDeep Learning.mp4 19.4 MB
  7 - Quiz Autoencoders.html 204.8 B
  8 - Introducing Model.mp4 7.2 MB
  8 - QuizLarge Language Models in Generative.html 204.8 B
  9 - QuizTransformer.html 204.8 B
  9 - What are generative models.mp4 77.1 MB
  Bonus Resources.txt 409.6 B
  Get Bonus Downloads Here.url 204.8 B
  ▲ 67 total files

Description


Master Generative Ai: Unlock Ai-Powered Innovation

https://DevCourseWeb.com

Published 12/2023
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.41 GB | Duration: 3h 31m

Mastering Generative AI: Unleash the Power of AI Imagination with State-of-the-Art LLMs

What you'll learn
Practical Implementation of Generative Models: Gain hands-on experience in building and training generative models, including GANs and VAEs.
Proficiency in Generative AI Concepts: Develop a strong understanding of generative AI fundamentals, including generative models, discriminative models
Leveraging Large Language Models (LLMs): Learn to harness the power of Large Language Models (LLMs) for real-world applications. Implement cutting-edge LLMs
Ethical Considerations and Best Practices: Acquire knowledge about ethical considerations in AI and generative models, including bias and fairness issues.

Requirements
1. Basic Programming Knowledge: Familiarity with a programming language, preferably Python, is essential. Understanding of fundamental programming concepts is recommended. 2. Mathematics and Statistics Foundation: A basic grasp of mathematics, including linear algebra and calculus, will be beneficial for comprehending AI concepts. 3. Machine Learning Fundamentals: Prior knowledge of machine learning fundamentals, including neural networks, is helpful but not mandatory. 4. Access to Required Tools: Access to a computer with the ability to install necessary software, such as Python, TensorFlow, and PyTorch. 5. Curiosity and Enthusiasm: A strong desire to explore the exciting world of Generative AI and a passion for learning and problem-solving are essential. These prerequisites ensure that students have the foundational knowledge needed to engage with the course material effectively and make the most of their learning experience.

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