Remove ML Engineer Remove NLP Remove Responsible AI
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Top Artificial Intelligence AI Courses from Google

Marktechpost

Introduction to AI and Machine Learning on Google Cloud This course introduces Google Cloud’s AI and ML offerings for predictive and generative projects, covering technologies, products, and tools across the data-to-AI lifecycle. It also introduces Google’s 7 AI principles.

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TOP 20 AI CERTIFICATIONS TO ENROLL IN 2025

Towards AI

AI engineering professional certificate by IBM AI engineering professional certificate from IBM targets fundamentals of machine learning, deep learning, programming, computer vision, NLP, etc. You shall build competence in NLP solutions, programming languages, responsible AI principles, etc.

professionals

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Achieve ~2x speed-up in LLM inference with Medusa-1 on Amazon SageMaker AI

AWS Machine Learning Blog

About the authors Daniel Zagyva is a Senior ML Engineer at AWS Professional Services. His experience extends across different areas, including natural language processing, generative AI and machine learning operations. Moran is also a PhD candidate, researching applying NLP models on social graphs.

LLM 75
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Introducing the Topic Tracks for ODSC East 2025: Spotlight on Gen AI, AI Agents, LLMs, & More

ODSC - Open Data Science

Topics Include: Agentic AI DesignPatterns LLMs & RAG forAgents Agent Architectures &Chaining Evaluating AI Agent Performance Building with LangChain and LlamaIndex Real-World Applications of Autonomous Agents Who Should Attend: Data Scientists, Developers, AI Architects, and ML Engineers seeking to build cutting-edge autonomous systems.

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The journey of PGA TOUR’s generative AI virtual assistant, from concept to development to prototype

AWS Machine Learning Blog

Amazon Kendra uses natural language processing (NLP) to understand user queries and find the most relevant documents. The relevant information is then provided to the LLM for final response generation. Grace Lang is an Associate Data & ML engineer with AWS Professional Services.

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Evaluation of generative AI techniques for clinical report summarization

AWS Machine Learning Blog

This is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading artificial intelligence (AI) companies like AI21 Labs, Anthropic, Cohere, Meta, Stability AI, and Amazon through a single API. He has two graduate degrees in physics and a doctorate in engineering.

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Machine Learning Operations (MLOPs) with Azure Machine Learning

ODSC - Open Data Science

Machine Learning Operations (MLOps) can significantly accelerate how data scientists and ML engineers meet organizational needs. A well-implemented MLOps process not only expedites the transition from testing to production but also offers ownership, lineage, and historical data about ML artifacts used within the team.