Artificial Intelligence Video Syllabi & Course Maps
Unpack loss functions, backpropagation, and transformer architectures via AI roadmaps.
artificial-intelligence
Building Recommenders: Two-Tower & Vector DBs
01Foundations of Python & Machine Learning Basics
02Introduction to Recommender Systems
03Deep Learning & Representation Learning
+ 3 more learning modules
75h6 modules
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artificial-intelligence
Latent Diffusion: PyTorch, UNet & CLIP
01Deep Learning & PyTorch Foundations
02Convolutional Networks & Autoencoders
03The Math and Mechanics of Diffusion Models
+ 3 more learning modules
80h6 modules
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artificial-intelligence
NeRFs: 3D Reconstruction & Instant-NGP
01Math & Python Foundations for 3D Vision
02Photogrammetry & Camera Pose Estimation
03Neural Radiance Fields (NeRF) Core Concepts
+ 2 more learning modules
16h5 modules
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artificial-intelligence
TFT Forecasting: Energy Demand & Deep Learning
01Programming & Data Science Foundations
02Introduction to Machine Learning & Time Series
03Deep Learning & Sequential Models
+ 3 more learning modules
38h6 modules
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artificial-intelligence
IoT Anomaly Detection: Autoencoders & Forests
01Foundations of Python & Data Handling for IoT
02Industrial IoT & Anomaly Detection Concepts
03Isolation Forests for Anomaly Detection
+ 3 more learning modules
42h6 modules
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artificial-intelligence
Adversarial ML: PyTorch Attacks & Defenses
01Foundations of Machine Learning & Neural Networks
02Deep Learning for Computer Vision in PyTorch
03Introduction to Adversarial Machine Learning
+ 2 more learning modules
24h5 modules
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artificial-intelligence
AI Code Assistant: Ollama, LangChain & VS Code
01TypeScript and Node.js Foundations
02VS Code Extension API Basics
03Local LLMs and Ollama Operations
+ 2 more learning modules
18h5 modules
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artificial-intelligence
GNNs: PyTorch Geometric, Molecules & Anomalies
01Python & Deep Learning Foundations
02Graph Theory & Data Representations
03Core Graph Neural Networks (GNNs)
+ 3 more learning modules
32h6 modules
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artificial-intelligence
Building Speech AI: ASR & Coqui Voice Cloning
01Digital Audio Foundations & Python Basics
02Introduction to Machine Learning & Hugging Face
03Automatic Speech Recognition (ASR) with Whisper
+ 2 more learning modules
16h5 modules
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artificial-intelligence
ML Explainability: Bias, SHAP & LIME
01Introduction to Data & Machine Learning
02Machine Learning Fundamentals & Training
03Algorithmic Bias and Fairness in AI
+ 2 more learning modules
26h5 modules
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artificial-intelligence
YOLOv8: Real-Time Detection & Edge Deployment
01Python & Computer Vision Foundations
02Neural Networks & Convolutional Networks (CNNs)
03YOLOv8 Object Detection Core
+ 2 more learning modules
38h5 modules
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artificial-intelligence
Training Deep RL Agents: SB3 & Custom Envs
01Programming & Mathematics Foundations
02Introduction to Reinforcement Learning Basics
03Deep Reinforcement Learning Algorithms
+ 3 more learning modules
40h6 modules
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artificial-intelligence
Multi-Agent AI: LangGraph, CrewAI & Workflows
01Python & API Foundations for AI
02Core Concepts of Autonomous AI Agents
03Orchestrating Multi-Agent Systems with CrewAI
+ 3 more learning modules
38h6 modules
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artificial-intelligence
Fine-Tuning LLMs: LoRA, PEFT & Custom Data
01Introduction to Python & Deep Learning Basics
02NLP Foundations & The Transformer Architecture
03Working with LLMs & Hugging Face
+ 2 more learning modules
24h5 modules
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artificial-intelligence
RAG Systems: Embeddings, LLMs & Production
01Programming & AI Foundations
02LLM APIs & Vector Embeddings
03Introduction to RAG Architecture
+ 2 more learning modules
38h5 modules
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Currently cataloging 15 Artificial Intelligence video roadmaps covering Foundations of Python & Machine Learning Basics, Introduction to Recommender Systems, Deep Learning & Representation Learning, Two-Tower Retrieval Architectures, Vector Databases & Fast Similarity Search. Latest path updated: "Building Recommenders: Two-Tower & Vector DBs".
Artificial intelligence evolves through complex mathematical optimizations and deep neural network architectures. This directory organizes machine learning, computer vision, natural language processing, and reinforcement learning lectures into structured video knowledge roadmaps, study plans, and course maps. Analyze sentence precision in subtitles to isolate mathematical derivations for backpropagation, loss functions, and self-attention mechanisms, extracting targeted timestamped clips detailing transformer attention matrices and convolutional filters.