Generative AI: From Theory to Product Launch
Lead the GenAI revolution, future-proof your skills by exploring generative models, transformer networks, and state-of-the-art applications in text, image, and video generation.
- 8 lessons across 4 modules
- AI Tutor on every lesson
At LAAM Technologies Inc., I spearhead their Intelligence team in launching Generative AI-driven products for personalized recommendation and content generation systems. I also serve as an Adjunct Faculty Member at Cornell University, NY. With a background in Electrical Engineering and MS-PhD from the University and ETH Zürich in Switzerland, I have also previously worked as a Machine Learning Scientist at Google X, IBM-Research, MIT and EPFL.
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What You'll Learn
- Familiarity with generative AI and its evolution over the years
- Understanding of core components such as CNNs, RNNs, autoencoders, and GANs
- Familiarity with real-world applications of generative AI empowered by the transformers and generative AI systems
- Familiarity with popular text and image generation models such as DistilBERT, GPT-2, GPT-3, GPT, DALL·E, Stable Diffusion, and Gen-2
- Practical experience with state-of-the-art multimodal models used to generate text, images, and videos
Learning Roadmap
2.
Introduction to Transformers
Introduction to Transformers
3.
Generative AI Products
Generative AI Products
3 Lessons
3 Lessons
Asim Iqbal
Every Educative resource is designed by our team of ex-MAANG software engineers and PhD computer science educators — subject matter experts who've shipped production code at scale and taught the theory behind it. No videos, no fluff.
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