// 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.
Apply Advanced SQL Server Analytics and Programming
By the end of this course, learners will be able to manage semi-structured data using JSON, model complex relationships with graph databases, and apply advanced analytics by integrating R and Python within SQL Server. Learners will gain the ability to query, modify, and analyze diverse data formats directly inside the database environment. This course is designed for database professionals and data practitioners who want to move beyond traditional relational querying and leverage advanced SQL Server capabilities. Through hands-on concepts, learners will understand how to store and manipulate
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Advanced Machine Learning and its Applications
The third course introduces advanced machine learning techniques and their applications. This course is built on the Applied AI Foundations Specialization, which introduced the fundamentals of machine learning, and Course 1, which developed LLM-empowered Python programming skills for AI. In this course, advanced data preprocessing, machine learning outcome evaluation, neural network design and optimization, deep learning, and generative artificial intelligence are introduced. Since these techniques underpin essential modern AI systems in science and engineering, after completing this course, y
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Analyze Video Data Using OpenCV and Python
By the end of this course, learners will be able to analyze video data, apply color models, implement image preprocessing techniques, and build object detection and tracking solutions using OpenCV and Python. They will gain the ability to process real-time and recorded video streams, extract meaningful visual features, and apply motion analysis algorithms to solve practical computer vision problems. This course benefits learners by providing a structured, hands-on pathway from foundational concepts to advanced video analytics techniques. Learners will develop industry-relevant skills in image
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BiteSize Python for Absolute Beginners: Flow Controls
This course focuses on mastering Python’s control flow mechanisms, including branching, looping, and functions. It covers essential concepts such as making decisions with if, if-else, and if-elif-else structures (branching), automating repetitive tasks using while and for loops (looping), and introduces functions as a higher-level form of flow control. Advanced topics like nested, hierarchical, and recursive functions are also explored, providing learners with tools to write organized, reusable, and efficient code.
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Agile Software Development with Python: TDD and BDD
In today’s fast-moving tech world, great developers do more than just write code — they build adaptable, high-quality software that meets real user needs. This hands-on course will guide you through the essential tools and mindsets that power modern software teams. You’ll gain a deep understanding of Agile principles and the Scrum framework, learning how to iterate quickly and deliver value efficiently. Through practical Python exercises, you’ll master Test-Driven Development (TDD) and Behavior-Driven Development (BDD) — industry-proven practices that help you design cleaner, more reliable, an
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Create Your First Web App with Python and Flask
In this 2-hour long project-based course, you will learn the basics of web application development with Python using the Flask framework. Through hands on, practical experience, you will go through concepts like creating a Flask Application, using Templates in Flask Applications, using SQLAlchemy and SQLite with Flask, and using Flask and WTForms. You will then apply the concepts to create your first web application with Python and Flask. This course is aimed at learners who are looking to get started with web application development using Python, and have some prior programming experience in
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Gen AI for Code Generation for Python
The Gen AI for Code Generation for Python course introduces practical techniques for using Generative AI to create Python code efficiently. This course is designed to help learners understand how AI tools can assist in writing everything from simple Python scripts to complete end-to-end applications. You will explore key methods for AI-assisted code generation, apply prompt strategies, and learn how to streamline development using generative models. By the course's conclusion, you will be able to: - Generate code with the help of the Generative AI tool - Implement strategies to design pre
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Optimize TensorFlow Models For Deployment with TensorRT
This is a hands-on, guided project on optimizing your TensorFlow models for inference with NVIDIA's TensorRT. By the end of this 1.5 hour long project, you will be able to optimize Tensorflow models using the TensorFlow integration of NVIDIA's TensorRT (TF-TRT), use TF-TRT to optimize several deep learning models at FP32, FP16, and INT8 precision, and observe how tuning TF-TRT parameters affects performance and inference throughput. Prerequisites: In order to successfully complete this project, you should be competent in Python programming, understand deep learning and what inference is, and
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Forecast Business Metrics: Uncover Value Drivers
In this short, practical course, you’ll learn how to use supervised learning to forecast key business metrics and uncover the drivers that shape performance. Through hands-on exercises in Python, you’ll build and tune regression and gradient-boosted models to predict outcomes such as next-quarter EBITDA. Then, you’ll apply explainable AI techniques, including SHAP and feature importance, to translate model outputs into clear, actionable business insights. By the end of the course, you’ll be able to evaluate forecast accuracy, identify which variables truly drive results, and communicate your f
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Hands-on Python for Networking Professionals
This course features Coursera Coach! A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course. In this course, you will learn how to leverage Python to automate and simplify tasks within the field of networking. You will gain hands-on experience with tools and scripts that streamline common networking tasks such as error handling, environment variable management, and remote system interactions. By using Python, you can scale your network management, improve repro
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Intro to Python: File Processing and Exception Handling
To round out your introduction to programming with Python, in this course, you'll manage files and directories through code. You'll also perform basic exception handling to gracefully address issues in your code. This is the third and final course in a multi-course Specialization. All of the courses in this Specialization require that you use the provided virtual machine, which includes an installation of Python. The course setup instructions provided in the first course go into more detail about the hardware and software requirements.
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Analyze Financial Data with Python for Decision Making
Learners will apply Python programming to analyze financial data, interpret time-based trends, build regression models, and communicate insights through effective visualizations. By the end of this course, learners will be able to transform raw financial datasets into meaningful analytical outputs that support data-driven financial decisions. This course is designed to bridge the gap between Python programming and practical financial analytics. Learners gain hands-on experience with Python setup, essential libraries, DataFrame operations, and core analytical techniques before progressing to f
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Select Topics in Python: Django
Code and run Django websites without installing anything! This course is designed for learners who have some experience with Python but a novice to Django. The modules in this course cover setting up a Django project; understanding the relationship between views, templates, and URL patterns; introduces models and the database; styling with Bootstrap; and deploying Django. To allow for a truly hands-on, self-paced learning experience, this course is video-free. Assignments contain short explanations with images and runnable code examples with suggested edits to explore code examples further,
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Data Cleaning with Python for Finance
This course guides you through the process of transforming raw financial data into a clean, trustworthy dataset using Python and pandas. You’ll begin by exploring how to load data into a notebook environment and conduct quick inspections to identify structural issues, formatting inconsistencies, unusual numeric patterns, and missing values. Building on these observations, you’ll apply essential cleaning techniques used by analysts every day—fixing data types, standardizing text categories, resolving or documenting missingness, and removing duplicates. Through guided walkthroughs, hands-on prac
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Data Engineering with Delta Lake on Databricks
Build production-ready data pipelines using Delta Live Tables and the Medallion Architecture on Databricks. This hands-on course teaches you to design, implement, and monitor ETL workflows that transform raw data into reliable, business-ready datasets through a structured bronze-silver-gold layering pattern. This course is primarily aimed at first- and second-year undergraduates interested in engineering or science, along with professionals with an interest in programming. You will start by mastering DLT fundamentals — declarative pipeline syntax in both SQL and Python, streaming ingestion w
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Configuring your IDE for absolute beginners with AWS Cloud9
So by the end of this course, you will learn to set up an online IDE. For this, you will use the AWS cloud9 environment. You will learn to configure the AWS cloud 9 environment, you will explore the IDE, you will write some python programs, you will learn to create files and folders manually and through the command line . You will also learn to power off the instance and learn to delete the environment as well. Before starting this project, you must have an AWS account.
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Production ML with Hugging Face
Learn to deploy ML models to production using the Sovereign Rust Stack—a pure Rust implementation with zero Python runtime dependencies. This hands-on course teaches you to work with three critical model formats (GGUF, SafeTensors, APR), implement MLOps pipelines with CI/CD and observability, and deploy models across GPU, CPU, WebAssembly, and edge targets. Through real-world projects including a Python-to-Rust transpiler (Depyler), browser-based speech recognition (Whisper.apr), and LLM inference benchmarking (Qwen), you'll master format conversion, cryptographic model signing, and performan
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Data Cleaning, Transformation, and Manipulation
In Data Cleaning, Transformation, and Manipulation, you’ll learn to turn messy data into analysis- and modeling-ready datasets using Python (pandas) and SQL. This is a skill-based path organized around real workplace tasks. Each module mirrors responsibilities you see in job descriptions and focuses on the exact steps you’ll perform on the job. You’ll begin with a quick skills check, then personalize your journey: double down on new topics, or skip what you already know. For each skill, you’ll review concise lessons curated from expert instructors with explanations and demos for filtering and
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Understand RAG Basics
"Understand RAG Basics" is an intermediate course for developers and data scientists who want to build more powerful and trustworthy AI applications. While Large Language Models (LLMs) are revolutionary, they often lack specific, up-to-date knowledge and can hallucinate answers. This 2-hour course provides the fundamental solution: Retrieval-Augmented Generation (RAG). You will need to be familiar with basic Python, API, and LLMs. You will also need Python and a code editor like VS Code installed locally. Focused on practical application, this course transitions from theory to execution. Y
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Mastering Python Programming: Apply, Analyze, and Build
Take your Python programming skills beyond basic syntax by learning how to design modular, reusable, and efficient applications using functional programming and object-oriented programming principles. This course explores how to build scalable Python solutions through functions, recursion, classes, inheritance, exception handling, and advanced object-oriented features. You'll begin by designing reusable functions, managing parameters, and solving structured problems with Python data structures. As you progress, you'll analyze recursion, functional programming patterns, and variable scope befo
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Applied Fundamentals: Hangman
This course features Coursera Coach! A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course. This course is designed to provide a hands-on approach to developing a simple Hangman game using Python. You will gain practical experience by building the game step by step while learning key concepts in Python programming. By the end of the course, you will have developed a working Hangman game, built upon a strong foundation of Python syntax, functions, and logic. Th
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Introduction to Python
Learning Python gives the programmer a wide variety of career paths to choose from. Python is an open-source (free) programming language that is used in web programming, data science, artificial intelligence, and many scientific applications. Learning Python allows the programmer to focus on solving problems, rather than focusing on syntax. Its relative size and simplified syntax give it an edge over languages like Java and C++, yet the abundance of libraries gives it the power needed to accomplish great things. In this tutorial you will create a guessing game application that pits the comput
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Big O notation: Python to Rust
Big O notation: Python to Rust is a hands-on algorithmic complexity course for engineers transitioning from Python to Rust who want to reason rigorously about how their code scales. You will learn Big O, Big Theta, and Big Omega notation; analyze the time and space complexity of common operations on Python and Rust data structures (list/Vec, dict/HashMap, set/HashSet, tuple, slice, BTreeMap); and compare measured performance in both languages on identical workloads. The course covers amortized analysis, recursion and master theorem, worst case versus expected case, the cost of allocation and b
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Python Programming for Quantum Computing
Updated in May 2025. This course now features Coursera Coach! A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course. This course is designed to provide a solid foundation in Python programming, tailored for individuals interested in quantum computing. The first section begins with an introduction to Python from scratch, walking you through the installation of Anaconda on both Windows and macOS, followed by an overview of Python’s core concepts. You’ll learn
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