Course Description:
- A comprehensive, hands-on training program designed to equip you with both the technical foundations of Generative AI and the practical mastery of modern AI tools used for creativity and productivity
- It combines deep technical training on Generative Adversarial Networks (GANs) with real-world applications of AI tools for text, image, audio, design, and video creation
- By the end of the course, you will be able to design, train, and control generative AI systems while confidently using AI tools to produce creative content safely and ethically, building a strong AI-powered portfolio
Course Main Points:
- > Foundations of Generative AI
- Understanding Generative vs Discriminative AI
- Introduction to Generative Adversarial Networks (GANs)
- >Building and Training GAN Models
- Creating GANs from scratch using PyTorch
- Training and monitoring image generation models
- >Advanced Generative AI Architectures
- Wasserstein GAN (WGAN) implementation
- Conditional GANs (cGANs)
- >Mastering AI Tools for Content Creation
- AI tools for text generation and prompt engineering
- Image generation and digital art creation
- >AI for Audio, Video & Design
- Music and sound generation using AI
- Graphic design with AI-powered platforms
- Storyboarding and AI-assisted video creation
- >Prompt Engineering & Creative Control
- Writing effective prompts for accurate results
- Style control, tone adjustment, and creativity techniques
- >Responsible & Ethical Use of AI
- Understanding AI bias and misinformation
- Responsible AI creation and digital ethics
Course Duration:
60 Hrs
Instructor Bio:
Eng Amr Nasr
- A computer engineering expert, tech lead, and AI solution architect who brings machine learning and deep learning to life across industries like space, healthcare, and agriculture, specializing in machine learning and computer vision.He has worked with leading avionics and WiFi technology companies in the U.S.
- He has guided students and engineers in Egypt’s space and tech ecosystems, sharing his expertise in neural networks, PyTorch, TensorFlow, and building scalable AI systems from the ground up
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