Community Picks·3yThe State of Data Engineering 2023
A lot has happened since 2022, from the rise of Generative AI to the economic slowdown and job losses impacting data practitioners in 2023. The way the trend and investment focus on GenAI will influence the data engineering space is likely to become a major topic in our 2024 State of Data Engineering review.
KDnuggets·2y25 Free Courses to Master Data Science, Data Engineering, Machine Learning, MLOps, and Generative AI
Discover a collection of top free courses to master data science, data engineering, machine learning, MLOps, and generative AI. Enhance your skills and embark on a new career with flexible and accessible learning opportunities.
freeCodeCamp·2yMLOps Course – Learn to Build Machine Learning Production Grade Projects
Learn about MLOps and its significance in building production grade machine learning projects. This course covers fundamental concepts, practical applications, comprehensive skill development, advanced techniques, and best practices in MLOps. It also offers an interactive learning experience with a Streamlit application.
Medium·2yMLOps roadmap 2024
The MLOps roadmap for 2024 covers the essential skills, tools, and principles that an MLOps engineer should know, including programming skills, containerization with Docker, Kubernetes, machine learning fundamentals, MLOps principles, and MLOps components. The post emphasizes the importance of Python, Docker, and Kubernetes in MLOps engineering.
Better Programming·3yHack Your Next Interview with Generative AI
An article discusses how to build a small application using Whisper for voice recognition and ChatGPT for text generation to assist in job interviews. It covers capturing speaker audio, speech-to-text conversion, answer generation, and creating a simple GUI using PySimpleGUI.
Community Picks·3yAI is Eating The World
AI is an extension of software that grants access to new capabilities and accelerates the rate at which software proliferates. The value in the AI technology stack includes proprietary and open source models, data, and machine learning operations. Fine-tuned custom models can be a differentiator in the application layer.