Duke University Courses

DevOps, DataOps, MLOps

217 ratings at Coursera

Master MLOps: Build AI solutions using Python and Rust. Learn DevOps, DataOps, and MLOps pipelines. Apply pre-trained models, simulations, and GPU acceleration for real-world machine learning problems.

• Coursera
• 1 day 20 hours 43 minutes
• On-Demand
• Paid Course

Introduction to Generative AI

211 ratings at Coursera

Gain foundational knowledge and hands-on experience with generative AI, from basic concepts to practical applications using leading models and tools for code, image, and text generation.

• Coursera
• 1 day 14 hours
• On-Demand
• Paid Course

Interacting with the System and Managing Memory

180 ratings at Coursera

Explore advanced C programming techniques, including user interaction, file handling, dynamic memory allocation, and large-scale project development, culminating in a Monte Carlo poker simulation.

• Coursera
• 23 hours 31 minutes
• On-Demand
• Paid Course

ESG Essentials for Sustainable Business

160 ratings at Coursera

Discover the fundamentals of Environmental, Social, and Governance principles and their vital role in modern business practices, sustainable development, and global policy-making.

• Coursera
• 2 hours 46 minutes
• On-Demand
• Paid Course

Business Value Creation

159 ratings at Coursera

Learn to create long-term business value through positive spread, healthy cash flows, meeting investor expectations, and sustaining competitive advantage. Explore key value drivers and their effective application.

• Coursera
• 4 hours 23 minutes
• On-Demand
• Paid Course

Cloud Virtualization, Containers and APIs

134 ratings at Coursera

Design Cloud-native systems using virtual machines, containers, and microservices. Learn Flask, Kubernetes, and effective operations. Build a containerized Flask app with continuous deployment to AWS, Azure, or GCP.

• Coursera
• 1 day 7 hours 32 minutes
• On-Demand
• Paid Course

Linux and Bash for Data Engineering

132 ratings at Coursera

Master Linux and Bash essentials for data engineering tasks. Learn file management, shell scripting, and command-line tools to enhance your development environment and solve common data problems efficiently.

• Coursera
• 2 days 17 hours 34 minutes
• On-Demand
• Paid Course

برمجة Java: حل المشكلات باستخدام البرامج

تعلم برمجة Java وحل المشكلات من خلال تطوير برامج عملية. اكتساب مهارات في تصميم الخوارزميات وتصحيح الأخطاء وتحليل البيانات باستخدام مكتبات مفتوحة المصدر.

• Coursera
• 16 hours 14 minutes
• On-Demand
• Paid Course

Microcredential

Agile Approaches for Modern Leadership

126 ratings at Coursera

Master modern leadership strategies to build purpose-driven teams, foster organizational agility, and drive innovation through practical frameworks and real-world applications for today's dynamic business environment.

• Coursera
• 4 weeks, 2 hours a week
• On-Demand
• Paid Course
• 3 courses

Microcredential

Applied Python Data Engineering

118 ratings at Coursera

Leverage big data for business strategy and AI using Python. Master data pipelines, platforms like Hadoop and Spark, and data visualization techniques. Ideal for engineers and data professionals.

• Coursera
• 20 weeks, 10 hours a week
• On-Demand
• Paid Course
• 3 courses

Scripting with Python and SQL for Data Engineering

109 ratings at Coursera

Learn Python and SQL for data engineering: work with data structures, connect to databases, perform web scraping, and execute SQL queries using modern tools. Gain practical skills for effective data manipulation and extraction.

• Coursera
• 1 day 2 minutes
• On-Demand
• Paid Course

人体生理学导论（中文版）

104 ratings at Coursera

在本课程中，学生将学习认识和应用说明人体九个器官系统中整体人体机能（作为完整有机体）的基本概念。

• Coursera
• 33 hours
• On-Demand
• Paid Course

برمجة Java: المصفوفات، والقوائم، والبيانات المصنفة

تعلم هياكل البيانات في Java لإنشاء برامج متقدمة، بما في ذلك التشفير وتحليل سجلات الويب وإنشاء قصص عشوائية باستخدام المصفوفات والقوائم والخرائط.

• Coursera
• 14 hours 24 minutes
• On-Demand
• Paid Course

Cloud Data Engineering

92 ratings at Coursera

Develop data engineering skills for cloud computing, covering serverless pipelines, ETL, databases, and storage. Apply best practices through hands-on projects using AWS, Azure, or GCP.

• Coursera
• 1 day 17 hours 11 minutes
• On-Demand
• Paid Course

Microcredential

Programming for Python Data Science: Principles to Practice

96 ratings at Coursera

Master Python data science essentials from fundamentals to advanced modeling, working hands-on with NumPy, Pandas, and Matplotlib to build a complete data analysis skillset for creating impactful insights and visualizations.

• Coursera
• 16 weeks, 5 hours a week
• On-Demand
• Paid Course
• 5 courses