How Modern Generative AI Works - From Attention to Transformers

How Modern Generative AI Works: From Attention to Transformers

https://WebToolTip.com

Released: 10/2026
Duration: 3h 46m | .MP4 1280x720, 30 fps(r) | AAC, 48000 Hz, 2ch | 408 MB
Level: Intermediate | Genre: eLearning | Language: English

Gain a foundational understanding of the history of AI and how modern AI works, exploring the evolution of language models, modern AI architecture, and the shift from traditional AI and natural language processing (NLP) to generative AI and deep learning. Examine the four pillars of modern AI: models, data, context, and tools. Explore attention, transformer architecture, and retrieval-augmented generation (RAG). Get an overview of AI agents, memory, the risks of autonomy, multimodal AI, the integrated AI stack, application patterns, evaluation, monitoring, trust, and responsible AI principles. Gain a working mental model of how modern AI systems process language, retrieve knowledge, act autonomously, and handle multiple modalities. This course is ideal for technology professionals, AI engineers, technical enthusiasts, technology managers and decision-makers, students, and researchers interested in understanding, discussing, and building on AI with genuine clarity.
This course was created by Rahul Kaundal and Itelcotech. We are pleased to host this training in our library.