AI + Data

skills of the future

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Courses

Learn the most in-demand skills today, apply them on the job tomorrow

May 6, 2024
0

Building Advanced RAG Applications

Senior Data Science Manager at Microsoft
May 6, 2024
0

SQL Crash Course

Associate Director, Business Analytics
May 13, 2024
0

Intro to Data Analytics with ChatGPT

Principal & Founder of Synthminds.AI
May 20, 2024
0

Deep Learning Essentials

PhD at Stanford; formerly at Waymo, Microsoft
PhD at Stanford, formerly at Google
June 3, 2024
0

AI & ChatGPT for Everyone

Principal & Founder of Synthminds.AI
Chief Learning Officer at Synthminds.AI
June 3, 2024
0

OpenAI 101: Build Your First Project

Senior Director, Knowledge Engineering
June 3, 2024
0

Python Crash Course

Lecturer, UC Berkeley
University of Washington
June 17, 2024
0

AI Strategy for Leaders

Product Lead, AI for Augmented Reality at Meta

Tracks

Gain expertise with a collection of courses curated and taught by industry experts

Search

Acquire the foundational skills you need to be an effective search engineer in this 6 week track, including how to integrate machine learning and natural language processing techniques into search engines.

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Machine Learning Foundations

Gain the skills you need to become an effective machine learning engineer in this 3-course track, with applied machine learning, deep learning, deployment of machine learning projects, and more.

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Data Science Academy

Led by leading practitioners, this three course sequence covers applied statistical modeling, practical tools for experimentation, and advanced methods for causal inference. Upon completion of the sequence you'll have the toolkit to grow your career as a data scientist and have an immediate impact across a wide range of industries.

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Analytics Engineering Academy

Acquire the skills required for a career in data and analytics engineering, including the foundational tools of data modeling, SQL, and dbt used to organize, transform, and retrieve information for modeling and insights.

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Data Analytics Academy

Kickstart a career as a data analyst by learning the core skills needed to get started - business foundations and customer analytics, data visualization, and SQL, the most popular language for working with data.

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