Computer Science Courses and Certifications

Data Compression - Theory and Applications

Master data compression theory and applications, from lossless techniques like Huffman coding to lossy methods including JPEG and modern ML approaches for efficient information representation.

• YouTube
• 23 hours 42 minutes
• Self-Paced
• Free Video

Introduction to Deep Learning - Lecture 1

Discover deep learning fundamentals through Stanford's CS230 introduction, covering class overview, real-world project examples, and essential details for mastering AI applications.

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

Stanford Seminar - Deep Learning in Speech Recognition

Explore deep learning's evolution and impact on speech recognition, from early AI to modern applications like Siri, covering key concepts, historical milestones, and practical implementations.

• YouTube
• 1 hour 13 minutes
• Self-Paced
• Free Online Course

Stanford Seminar - Can the Brain Do Back-Propagation?

Explore the brain's potential for back-propagation learning, examining challenges, alternative methods, and implications for neuroscience and machine learning.

• YouTube
• 1 hour 25 minutes
• Self-Paced
• Free Online Course

Stanford Seminar - Programming Should Be More Than Coding

Explore programming beyond coding, focusing on specification and problem-solving. Learn to think clearly about algorithms and connect formal specifications to practical code implementation.

• YouTube
• 1 hour 11 minutes
• Self-Paced
• Free Online Course

Stanford Lecture - Don Knuth - Twintrees, Baxter Permutations, and Floorplans (2022)

Explore the fascinating connections between twintrees, Baxter permutations, and floorplans in this lecture by renowned computer scientist Donald Knuth, revealing unexpected relationships in mathematics and computer science.

• YouTube
• 1 hour 12 minutes
• Self-Paced
• Free Video

Stanford Seminar 2022 - Transformers in Vision: Tackling Problems in Computer Vision

Explore how transformers revolutionize computer vision with Lucas Beyer, covering innovative applications and advancements in representation learning for visual AI tasks.

• YouTube
• 1 hour 9 minutes
• Self-Paced
• Free Video

Breaking Into Product Management - What You Need to Know

Discover how to break into product management, build essential skills, and prepare for interviews with insights from Silicon Valley executives on career paths and industry trends.

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

The Future of Blockchain and Cryptocurrencies - Dan Boneh

Explore blockchain's future, applications, and security with Stanford's Dan Boneh. Learn about scalability, interoperability, consensus layer security, and environmental concerns in this cutting-edge technology.

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

Hacking AI - Security & Privacy of Machine Learning Models

Explore adversarial machine learning with Prof. Dan Boneh, examining security challenges in AI models, defenses against attacks, and the balance between accuracy and privacy in ML systems.

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

Stanford CS229 - Machine Learning - Summer 2019 - Kernel Methods & Support Vector Machine

Explore kernel methods and Support Vector Machines in machine learning, focusing on advanced techniques for data classification and pattern recognition in complex datasets.

• YouTube
• 1 hour 55 minutes
• Self-Paced
• Free Video

Deep Learning - Adversarial Attacks and GANs - Lecture 4

Explore adversarial attacks and Generative Adversarial Networks (GANs) in deep learning. Learn from Stanford experts about these advanced techniques and their applications in AI.

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

Deep Learning Full-Cycle Projects - Lecture 3

Comprehensive exploration of full-cycle deep learning projects, covering project selection, visualization, and problem-solving techniques for voice-activated devices and network challenges.

• YouTube
• 1 hour 18 minutes
• Self-Paced
• Free Video

Stanford Lecture - Don Knuth - "Dancing Links" 2018

Explore "dancing links" data structure and its applications in solving exact covering problems with color controls, presented by renowned computer scientist Donald Knuth.

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

Information Theory of Deep Learning - Naftali Tishby

Explores the connection between deep learning and information theory, offering new insights into neural network design, generalization, and optimization through an information bottleneck framework.

• YouTube
• 1 hour 25 minutes
• Self-Paced
• Free Video