Serrano.Academy Courses

A Friendly Introduction to Recurrent Neural Networks

2 ratings

Explore how computers predict and generate sequences using Recurrent Neural Networks. Learn about vectors, neural networks, and practical applications in cooking, weather, and more.

• YouTube
• 23 minutes
• Self-Paced
• Free Video

A Friendly Introduction to Machine Learning

1 rating

Explore key machine learning algorithms through clear examples, from linear regression to neural networks and clustering techniques, in this beginner-friendly introduction.

• YouTube
• 31 minutes
• Self-Paced
• Free Video

Quantum Computing and Quantum Machine Learning

Discover quantum computing fundamentals and quantum machine learning through Fourier transforms, superposition, and practical applications in under 2 hours.

• YouTube
• 1 hour 59 minutes
• Self-Paced
• Free Video

Reinforcement Learning for Large Language Models - RLHF, PPO, DPO, and GRPO

Discover how to fine-tune LLMs using RLHF, PPO, DPO, and GRPO techniques with practical deep reinforcement learning methods for transformer models.

• YouTube
• 2 hours 28 minutes
• Self-Paced
• Free Video

Quantum Superposition and the Glove That Changes Color

Discover quantum superposition through an innovative glove experiment where observation changes the glove's color, illustrating how measurement affects quantum states in just 14 minutes.

• YouTube
• 14 minutes
• Self-Paced
• Free Video

Strengths and Weaknesses of Large Language Models

Explore the capabilities and limitations of large language models, understanding their practical applications and current challenges in AI development.

• YouTube
• 26 minutes
• Self-Paced
• Free Video

Agents, RAG, and Reasoning Models

Explore AI agent architecture, agentic loops, memory systems, tools, and planning to transition from static automation to dynamic autonomous systems.

• YouTube
• 27 minutes
• Self-Paced
• Free Video

Retrieval Augmented Generation (RAG), Search, and Vector Databases

Discover how to make LLMs speak factually using Retrieval Augmented Generation (RAG), search techniques, and vector databases in this comprehensive 19-minute guide.

• YouTube
• 19 minutes
• Self-Paced
• Free Video

Celestial Mechanics of Attention Mechanisms

Explore the intricate workings of attention mechanisms in machine learning through celestial analogies and engaging explanations in this comprehensive presentation.

• YouTube
• 52 minutes
• Self-Paced
• Free Video

Machine learning en espanol

Introducción práctica al aprendizaje automático en español, cubriendo técnicas supervisadas y no supervisadas con aplicaciones reales como reconocimiento de imágenes y sistemas de recomendación.

• YouTube
• 3 hours 30 minutes
• Self-Paced
• Free Video

Natural Language Processing

Explore Latent Dirichlet Allocation through a two-part series, covering its fundamentals and training using Gibbs Sampling.

• YouTube
• 30 minutes
• Self-Paced
• Free Video

Probability

Explore Bayes Theorem, Hidden Markov Models, Shannon Entropy, Naive Bayes classifier, Beta distribution, and Thompson sampling in this friendly introduction to key probability concepts.

• YouTube
• 1 hour 30 minutes
• Self-Paced
• Free Video

Generative Models

Explore denoising autoencoders, VAEs, GANs, and RBMs in this comprehensive introduction to generative models, covering key concepts and applications in machine learning.

• YouTube
• 1 hour 30 minutes
• Self-Paced
• Free Video

Unsupervised Learning

Explore key unsupervised learning techniques including clustering, dimensionality reduction, and generative models. Gain insights into real-world applications like recommendation systems and image compression.

• YouTube
• 4 hours 30 minutes
• Self-Paced
• Free Video

Neural Networks

This Course is a friendly introduction series to machine learning, deep learning, neural networks and generative adversarial networks.

• YouTube
• 3 hours 30 minutes
• Self-Paced
• Free Video