via Coursera Learning path or series
This hands-on specialization equips learners to build and deploy dynamic web applications, apply supervised machine learning techniques, and implement real-world cryptographic systems using Python. Across five project-based courses, learners will gain expertise in server-side scripting, sentiment analysis, linear regression, and secure communication technologies. By the end, students will be proficient in integrating Python across modern web systems, machine learning workflows, and encryption frameworks. Ideal for aspiring web developers, data analysts, and cybersecurity professionals.
Some points apply to every course of this kind; see how we rank.
EDUCBA is in Tier 5: mass-produced or unclear of our institution ranking (36/100). Thousands of courses, mostly slides and screen recordings.
This is CS50W, CS50's Web Programming with Python and JavaScript. Register for free at https://cs50.edx.org/web. Slides and source code at https://cs50.harvard.edu/web. This course picks up where Harvard University’s CS50 leaves off, diving more deeply into the design and implementation of web apps…
Stanford CS25: Transformers United Since their introduction in 2017, transformers have revolutionized Natural Language Processing (NLP). Now, transformers are finding applications all over Deep Learning, be it computer vision (CV), reinforcement learning (RL), Generative Adversarial Networks (GANs)…
For more information about Stanford’s Artificial Intelligence professional and graduate programs, visit: https://stanford.io/ai
Natural language processing (NLP) is a crucial part of artificial intelligence (AI), modeling how people share information. In recent years, deep learning approaches have obtained very high performance on many NLP tasks. In this course, students gain a thorough introduction to cutting-edge neural n…
For more information about Stanford’s Artificial Intelligence professional and graduate programs, visit: https://stanford.io/ai
Language models serve as the cornerstone of modern natural language processing (NLP) applications and open up a new paradigm of having a single general purpose system address a range of downstream tasks. As the field of artificial intelligence (AI), machine learning (ML), and NLP continues to grow,…
