// 46 courses indexed
The course directory
Every course we track across 10+ providers, in one searchable index. Want a shortlist picked for your goals? Run a free skill gap analysis.
AI Workflow: Business Priorities and Data Ingestion
This is the first course of a six part specialization. You are STRONGLY encouraged to complete these courses in order as they are not individual independent courses, but part of a workflow where each course builds on the previous ones. This first course in the IBM AI Enterprise Workflow Certification specialization introduces you to the scope of the specialization and prerequisites. Specifically, the courses in this specialization are meant for practicing data scientists who are knowledgeable about probability, statistics, linear algebra, and Python tooling for data science and machine lear
All levels
Production Deployment and Advanced Patterns
The Production Deployment and Advanced Patterns course is designed for developers, engineers, and technical product builders who are new to Generative AI but already possess intermediate programming knowledge, basic Python proficiency, and familiarity with development tools and APIs, and who want to build, deploy, and scale AI-powered agents in real-world applications. The course equips learners with the skills to transform AI agents into professional-grade applications ready for real-world use. Starting with user interface development, learners build interactive agent interfaces using Stream
All levels
Matplotlib with Python: E-commerce Data Visualization
Matplotlib E-commerce Data Visualization with Python is an intermediate-level course that teaches you how to analyze e-commerce datasets and create meaningful visualizations using Python and Matplotlib. Through a practical case study, you will build the skills to set up your analysis environment, prepare data, and transform raw business data into clear visual insights. You will begin by installing and configuring Anaconda and Matplotlib, exploring dataset characteristics, identifying unique values, and preparing data for analysis. Next, you will learn the fundamentals of Matplotlib, including
All levels
Production Governance and MLOps on Databricks
This intermediate course provides a practical, hands-on exploration of Databricks Governance, focusing on the essential tools and workflows for managing and securing your data lakehouse. You will learn to navigate and control access to your data assets using Unity Catalog, the foundation of Databricks governance. The course covers the core hierarchy of metastores, catalogs, schemas, and tables, and teaches you how to manage them programmatically using the Databricks Python SDK, CLI, and VS Code extension. Beyond foundational access control, you will master the skills to implement modern CI/CD
All levels
Use the Standard Library
Unlock the full potential of Python through its powerful Standard Library. This course takes you on a comprehensive journey, helping you understand how to leverage Python's built-in tools and modules to make your programming more efficient and effective. You'll dive into modules like os, datetime, math, sys, and random, exploring essential functions, and learning how to manage files, dates, times, and more in Python. You will start by gaining an overview of the Standard Library and how to import modules, followed by detailed lessons on practical modules that are commonly used in everyday prog
All levels
Data Analysis and Visualization
By the end of this course, learners are provided a high-level overview of data analysis and visualization tools, and are prepared to discuss best practices and develop an ensuing action plan that addresses key discoveries. It begins with common hurdles that obstruct adoption of a data-driven culture before introducing data analysis tools (R software, Minitab, MATLAB, and Python). Deeper examination is spent on statistical process control (SPC), which is a method for studying variation over time. The course also addresses do’s and don’ts of presenting data visually, visualization software (Tabl
All levels
AI Agents with Model Context Protocol
Build AI Agents That Actually Work AI agents are everywhere—but most of them fail in frustrating, unpredictable ways. They get confused, waste tokens, hit dead ends, and require constant babysitting. This course teaches you the patterns and architectures that separate agents that struggle from agents that succeed. Using Python and the Model Context Protocol (MCP), you'll learn to build AI agents from the ground up—and more importantly, you'll learn why certain designs work while others fall apart. What You'll Learn: - Build MCP Tool Servers — Create the bridge that lets AI agents interact
All levels
Design Thinking and Predictive Analytics for Data Products
This is the second course in the four-course specialization Python Data Products for Predictive Analytics, building on the data processing covered in Course 1 and introducing the basics of designing predictive models in Python. In this course, you will understand the fundamental concepts of statistical learning and learn various methods of building predictive models. At each step in the specialization, you will gain hands-on experience in data manipulation and building your skills, eventually culminating in a capstone project encompassing all the concepts taught in the specialization.
All levels
Build Serverless Automation with AWS Lambda
Learners will understand, implement, and evaluate a real-world serverless automation workflow using AWS Lambda, API Gateway, and Amazon S3. By the end of this course, learners will be able to design API-driven backend solutions, implement GET and PUT operations using Python, and automate data processing in a scalable cloud environment. This course benefits learners by providing hands-on exposure to a practical DevOps case study rather than isolated service tutorials. Learners gain clarity on how AWS services interact in real production-like scenarios, strengthening their ability to build, tro
All levels
Principles of Computing (Part 1)
This two-part course builds upon the programming skills that you learned in our Introduction to Interactive Programming in Python course. We will augment those skills with both important programming practices and critical mathematical problem solving skills. These skills underlie larger scale computational problem solving and programming. The main focus of the class will be programming weekly mini-projects in Python that build upon the mathematical and programming principles that are taught in the class. To keep the class fun and engaging, many of the projects will involve working with strat
All levels
Python for Everybody Specialization
University of Michigan's beginner-friendly path covering Python programming, data structures, web data, and databases.
Beginner
Deep Learning Specialization
Five courses on neural networks, CNNs, sequence models, and ML strategy from DeepLearning.AI.
Intermediate
IBM Data Science Professional Certificate
Python, SQL, data analysis, visualization, machine learning, and a capstone project.
Beginner
IBM Full Stack Software Developer Professional Certificate
Hands-on full-stack path: HTML, CSS, JavaScript, React, Node, Python, Django, containers, and microservices.
Beginner
Google Cybersecurity Professional Certificate
Job-ready cybersecurity path: security frameworks, SIEM tools, Linux, SQL, and Python for security.
Beginner
Crash Course on Python (Google)
Google's hands-on introduction to Python for people with no prior programming experience.
Beginner
Machine Learning Specialization (Andrew Ng)
Andrew Ng's foundational specialization: supervised learning, advanced algorithms, and recommender systems.
Beginner
Meta Back-End Developer Professional Certificate
Learn Python, Django, APIs, and databases to start a career as a back-end developer.
Beginner
Google Advanced Data Analytics Professional Certificate
Statistics, Python, regression, and machine learning for experienced analysts.
Intermediate
Statistics with Python Specialization
University of Michigan's specialization on statistical inference, visualization, and modeling in Python.
Intermediate