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Mastering MLOps : The Ultimate Guide to Become a MLOps Engineer in 2024

Unite.AI

If you're fascinated by the intersection of ML and software engineering, and you thrive on tackling complex challenges, a career as an MLOps Engineer might be the perfect fit. Understanding MLOps Before delving into the intricacies of becoming an MLOps Engineer, it's crucial to understand the concept of MLOps itself.

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AIOps vs. MLOps: Harnessing big data for “smarter” ITOPs

IBM Journey to AI blog

It helps companies streamline and automate the end-to-end ML lifecycle, which includes data collection, model creation (built on data sources from the software development lifecycle), model deployment, model orchestration, health monitoring and data governance processes.

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MLOps and the evolution of data science

IBM Journey to AI blog

MLOps fosters greater collaboration between data scientists, software engineers and IT staff. The goal is to create a scalable process that provides greater value through efficiency and accuracy. The process for monitoring and addressing issues in the models once in production.

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Getting Started with AI

Towards AI

What is AI Engineering AI Engineering is a new discipline focused on developing tools, systems, and processes to enable the application of artificial intelligence in real-world contexts [1]. In a nutshell, AI Engineering is the application of software engineering best practices to the field of AI.

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Boost your content editing with Contentful and Amazon Bedrock

AWS Machine Learning Blog

Before joining AWS, he worked for AWS customers and partners in software engineering, consulting, and architecture roles for 8+ years. Aris Tsakpinis is a Specialist Solutions Architect for AI & Machine Learning with a special focus on natural language processing (NLP), large language models (LLMs), and generative AI.

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TOP 20 AI CERTIFICATIONS TO ENROLL IN 2025

Towards AI

Artificial Intelligence graduate certificate by STANFORD SCHOOL OF ENGINEERING Artificial Intelligence graduate certificate; taught by Andrew Ng, and other eminent AI prodigies; is a popular course that dives deep into the principles and methodologies of AI and related fields.

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From concept to reality: Navigating the Journey of RAG from proof of concept to production

AWS Machine Learning Blog

Machine learning (ML) engineers must make trade-offs and prioritize the most important factors for their specific use case and business requirements. Enterprise Solutions Architect at AWS, experienced in Software Engineering, Enterprise Architecture, and AI/ML. Nitin Eusebius is a Sr.