This site uses cookies to improve your experience. To help us insure we adhere to various privacy regulations, please select your country/region of residence. If you do not select a country, we will assume you are from the United States. Select your Cookie Settings or view our Privacy Policy and Terms of Use.
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Used for the proper function of the website
Used for monitoring website traffic and interactions
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Strictly Necessary: Used for the proper function of the website
Performance/Analytics: Used for monitoring website traffic and interactions
The Rise of AIEngineering andMLOps 20182019: Early discussions around MLOps and AIengineering were sparse, primarily focused on general machine learning best practices. 20232024: AIengineering became a hot topic, expanding beyond MLOps to include AI agents, autonomous systems, and scalable model deployment techniques.
Professional Development Certificate in Applied AI by McGill UNIVERSITY The Professional Development Certificate in Applied AI from McGill is an appropriate advanced and practical program designed to equip professionals with actionable industry-relevant knowledge and skills required to be senior AIdevelopers and the ranks.
One year, and tens of thousands of professionals educated later, we’ve noticed one pattern: a lot of people call themselves “AIEngineers.” But can they build AI systems that work in the real world? This GenAI Test is a crucial tool for AIengineers to self-reflect on their journey, and uncover what they don’t know about GenAI.
Group 2: AIDevelopment and Application Entities: Corporations: These are the businesses and companies that develop, deploy, and utilize AI technologies, navigating the regulatory and ethical landscape to bring innovative AI products and services to the market.
AI Architects work closely with cross-functional teams, including data scientists, engineers, and business stakeholders, to design and deliver AI solutions that drive innovation, efficiency, and competitive advantage.
Large Language Models & RAG TrackMaster LLMs & Retrieval-Augmented Generation Large language models (LLMs) and retrieval-augmented generation (RAG) have become foundational to AIdevelopment. AIEngineering TrackBuild Scalable AISystems Learn how to bridge the gap between AIdevelopment and software engineering.
She led the cross-company team of experts to develop the new Bing responsibly and led the ResponsibleAIdevelopment for Github Copilot. She also led the product development of responsibleAI tools including Fairlearn, SmartNoise, and InterpretML.
Time is running out to get your pass to the can’t-miss technical AI conference of the year. Our incredible lineup of speakers includes world-class experts in AIengineering, AI for robotics, LLMs, machine learning, and much more. ODSC West is NEXT WEEK! Register here before we sell out!
The adoption of generative AI tools, predictive analytics, and advanced algorithms has propelled organizations to seek talent capable of leveraging these technologies for competitive advantage. Businesses need individuals to develop, refine, and oversee AI systems tailored to specific needs.
Open-source projects provide a unique platform for this collaboration, enabling researchers, developers, and enthusiasts to contribute to the growth of AI. Below, well explore ten noteworthy open-source AI repositories that are making waves in AIdevelopment. Register now for only$299!
What inspired you to found AI Squared, and what problem in AI adoption were you aiming to solve? With my background at the NSA, where I saw firsthand that nearly 90% of AI models never made it to production, I founded AI Squared to address the critical gap between AIdevelopment and real-world deployment.
Led by Dwayne Natwick , CEO of Captain Hyperscaler, LLC, and a Microsoft Certified Trainer (MCT) Regional Lead & Microsoft Most Valuable Professional (MVP) , these sessions will provide practical insights and hands-on experience in prompt engineering and generative AIdevelopment.
We organize all of the trending information in your field so you don't have to. Join 15,000+ users and stay up to date on the latest articles your peers are reading.
You know about us, now we want to get to know you!
Let's personalize your content
Let's get even more personalized
We recognize your account from another site in our network, please click 'Send Email' below to continue with verifying your account and setting a password.
Let's personalize your content