Contact sales

Kesha Williams

Kesha Williams

Kesha Williams is an Atlanta-based AWS Machine Learning Hero and Senior Director of Enterprise Architecture & Engineering. She guides the strategic vision and design of technology solutions across the enterprise while leading engineering teams in building cloud-native solutions with a focus on Artificial Intelligence (AI). Kesha holds multiple AWS certifications and has received leadership training from Harvard Business School. Learn more at https://www.keshawilliams.com/.

Securing Amazon SageMaker AI: Comprehensive security best practices

Attend these AWS re:Invent 2024 sessions to charge your cloud and AI skills

AWS re:Invent 2024 guide: Tips from AWS Hero Kesha Williams

AIOps vs. MLOps vs. LLMOps: Navigating the future of AI operations

Ollama: The Docker for LLMs and how it compares to ChatGPT

How to become an AI expert with no experience

10 fun hands-on projects to learn AWS

What are transformers in Generative AI?

What is LLMOps, and how is it different from MLOps?

A blueprint for responsible innovation with Large Language Models

Cloud architecture design: How to foster collaboration

AWS re:Invent 2023: Our guide to the top sessions and speakers

OpenAI DevDay 2023: 5 Key Takeaways from the conference

AWS re:Invent: First time attending? Here’s what to do!

Algorithmic Bias: What is it, and how to deal with it?

Power shift: The cloud levels the playing field for women in tech

SageMaker Studio Lab: How to experiment with ML for free

Getting hands-on with Amazon SageMaker Linear Learner

SageMaker Clarify is the most important announcement of re:Invent 2020

How to Build a Netflix Style Recommendation Engine with Amazon SageMaker

The Cloud Guru Challenge: AWS Machine Learning

#CloudGuruChallenge – Machine Learning on AWS

Fixing 5 Common AWS IAM Errors

AWS Certified Cloud Practitioner course reimagined