Modern AI
- https://youtu.be/VMj-3S1tku0 - https://youtu.be/PaCmpygFfXo - https://youtu.be/TCH_1BHY58I - https://youtu.be/P6sfmUTpUmc - https://youtu.be/q8SA3rM6ckI - https://youtu.be/t3YJ5hKiMQ0
Modules
9
Lessons
68
Course created by Mikias Abebe
Module 1
Advanced Deep Learning Architectures
Explore the theoretical foundations and mathematical underpinnings of modern deep learning architectures beyond standard feed-forward networks.
Module 2
The Transformer Architecture and Attention Mechanisms
A deep dive into the inner workings of Transformers, covering the mathematical details of self-attention and structural variations.
Module 3
Large Language Models (LLMs) and Scale
Understand the engineering, data curation, and scaling laws required to pre-train modern massive language models.
Module 4
Post-Training, Fine-Tuning, and Alignment
Learn the methodologies to adapt base models into instruction-following, aligned, and task-specific AI systems.
Module 5
Multimodal AI Systems and Architectures
Examine the integration of text, vision, and audio into unified models capable of multi-sensory reasoning.
Module 6
Retrieval-Augmented Generation (RAG) and Knowledge Integration
Master the design of production-grade retrieval architectures to ground language models in external knowledge.
Module 7
Autonomous Agents and Tool Use
Investigate how modern AI transitions from static generation to dynamic, multi-step problem-solving autonomous systems.
Module 8
Model Inference, Optimization, and Deployment
Learn the engineering practices required to serve complex AI models efficiently at scale and on edge devices.
Module 9
Final Assessment
A comprehensive evaluation covering all advanced topics discussed across the entire Modern AI curriculum.