Duke University Courses

Career Certificate

Python, Bash and SQL Essentials for Data Engineering

487 ratings at Coursera

Build data engineering foundations: use Python and Pandas, Linux and Bash scripting, SQL scripting, and command-line tools and web apps to access and manage big data.

• Coursera
• 16 weeks, 5 hours a week
• Self-Paced
• Paid Course
• 4 courses

Managing Machine Learning Projects

409 ratings at Coursera

Lead machine learning projects end to end: spot ML opportunities, organize work with CRISP-DM, source and clean data, choose cloud vs. edge designs, and monitor production models.

• Coursera
• 5 weeks, 4 hours a week
• Self-Paced
• Paid Course

Python Essentials for MLOps

382 ratings at Coursera

Learn Python fundamentals for MLOps: data structures, functions and classes, testing with Pytest, data work with Pandas and NumPy, plus command-line tools and HTTP APIs.

• Coursera
• 5 weeks, 9 hours a week
• Self-Paced
• Paid Course

Career Certificate

Large Language Model Operations (LLMOps)

357 ratings at Coursera

Design, deploy, and scale large language models across Azure, AWS, Databricks, and local infrastructure, with generative AI techniques, data engineering, and open source LLMOps solutions.

• Coursera
• 20 weeks, 10 hours a week
• Self-Paced
• Paid Course
• 6 courses

Pointers, Arrays, and Recursion

352 ratings at Coursera

Use pointers, arrays, and recursion in C: manipulate strings, multi-dimensional arrays, and function pointers, then build a deck of cards and evaluate poker hands.

• Coursera
• 5 weeks, 4 hours a week
• Self-Paced
• Paid Course

Career Certificate

ESG for All

347 ratings at Coursera

Learn ESG fundamentals and apply tools like Materiality Assessments to prioritize initiatives, foster inclusive dialogue, and align sustainability efforts with organizational strategy.

• Coursera
• 4 weeks, 2 hours a week
• Self-Paced
• Paid Course
• 6 courses

Career Certificate

Rust Programming

315 ratings at Coursera

Master Rust from foundational syntax to LLMOps: build a database migration tool, optimize an ML pipeline, and create Linux command-line automation across 20+ coding projects.

• Coursera
• 16 weeks, 10 hours a week
• Self-Paced
• Paid Course
• 5 courses

Python and Pandas for Data Engineering

279 ratings at Coursera

Set up a virtual environment with Pandas and Jupyter, use sequences, dictionaries, sets and generators, select DataFrame rows and columns, and commit code from Vim or VS Code.

• Coursera
• 4 weeks, 13 hours a week
• Self-Paced
• Paid Course

Financial Risk Management with R

264 ratings at Coursera

Quantify market risk of stock portfolios in R: retrieve data from FRED and Yahoo!Finance, compute returns, and estimate Value-at-Risk and Expected Shortfall.

• Coursera
• 4 weeks, 4 hours a week
• Self-Paced
• Paid Course

Introduction to Generative AI

261 ratings at Coursera

Learn how generative AI works, craft and chain prompts, build RAG applications, and generate code, images, and text with GitHub Copilot, DALL-E, and the OpenAI API.

• Coursera
• 4 weeks, 10 hours a week
• Self-Paced
• Paid Course

Rust Fundamentals

254 ratings at Coursera

Learn Rust from scratch: control flow, error handling, structs, enums and vectors, plus modules, doctests and unit tests, working in GitHub Codespaces with Copilot.

• Coursera
• 4 weeks, 10 hours a week
• Self-Paced
• Paid Course

ESG Essentials for Sustainable Business

243 ratings at Coursera

Learn what Environmental, Social, and Governance principles mean, trace ESG's growth in business and policy, and identify key terminology and major players shaping the landscape.

• Coursera
• 2 weeks, 1 hour a week
• Self-Paced
• Paid Course

DevOps, DataOps, MLOps

235 ratings at Coursera

Build end-to-end MLOps solutions: package ML microservices in containers, create DevOps and DataOps pipelines with GitHub, deploy Hugging Face and OpenAI models, and move from Python to Rust.

• Coursera
• 5 weeks, 9 hours a week
• Self-Paced
• Paid Course

Financing for Startup Businesses

231 ratings at Coursera

Build capitalization tables in Excel to compare startup financing strategies, and examine venture securities, exit proceeds, crowdfunding models, and credit scoring from digital footprints.

• Coursera
• 4 weeks, 2 hours a week
• Self-Paced
• Paid Course

Business Value Creation

198 ratings at Coursera

Learn the four cornerstones of value creation — positive spread, cash flows, investor expectations, competitive advantage — plus value drivers like revenue growth, asset utilization, and capital allocation.

• Coursera
• 3 weeks, 1 hour a week
• Self-Paced
• Paid Course