The goal of the Front End Web Developer Nanodegree program is to equip learners with the unique skills they need to build and develop a variety of websites and applications. 

In the Cloud DevOps Nanodegree program, students learn to design and deploy infrastructure as code, build and monitor CI/CD pipelines for different deployment strategies, and deploy scalable microservices using Kubernetes. This program covers the following concepts: infrastructure as code (IAC), use of CloudFormation and Ansible, Continuous Integration / Continuous Delivery (CI/CD) pipelines,  Kibana, Grafana and Kubernetes.

In this Nanodegree program, students learn the essential foundations of AI: the programming tools (Python, NumPy, PyTorch), the math (calculus and linear algebra), and the key techniques of neural networks (gradient descent and backpropagation).


This Nanodegree program is built in partnership with Google and is designed to teach students how to build their own app for Google Play.  The concepts covered in this program include Android development, databases, Android networking libraries, crash analysis, multilingual support, Android libraries, Gradle and APIs.

In this program, students learn to design data models, build data warehouses and data lakes, automate data pipelines, and work with massive datasets.

In this course, students learn data structures and algorithms by solving 80+ practice problems, which enables them to evaluate and assess different data structures and algorithms for any open-ended problem and implement a solution based on design choices.

In this program, students will develop expertise in neural networks and l learn to implement them using the deep learning framework PyTorch.


In this program, students learn the fundamentals of cloud development and deployment with AWS. In addition, they build different apps leveraging microservices, Kubernetes clusters, and serverless application technology. The concepts covered include cloud-native full-stack applications on AWS, refactoring monolithic apps to microservices, and  Kubernetes.

In the Computer Vision Nanodegree program,  students learn cutting-edge computer vision and deep learning techniques, starting with  basic image processing, to building and customizing convolutional neural networks.


In this program,  you’ll learn to combine data, visuals, and narrative to tell impactful stories and make data-driven decisions. You’ll start by building data visualizations and dashboards, considering your audiences to be as effective as possible.


In this program, students learn how to evaluate the business value of an AI product by learning the common AI concepts, how to scope and build a data set, train a model, and evaluate its business impact.


In this program, students Learn the basics of quantitative analysis, including data processing, trading signal generation, and portfolio management. They use Python to work with historical stock data, develop trading strategies, and construct a multi-factor model with optimization.


In the Data Analyst program, you’ll learn to manipulate and prepare data for analysis, and create visualizations for data exploration. This program will teach you to use Python, SQL, and statistics to uncover insights, communicate critical findings, and create data-driven solutions.


In this program, students learn the fundamentals of the blockchain platform and create their own private blockchain, while securing a digital asset using blockchain identity. This course covers Ethereum Blockchain, Blockchain Architecture and Data Auditing.

The Android Basics program was designed in collaboration with Google to equip programming beginners with the fundamentals of Android development.  This program covers the following;  Android development, Java programming, Android Studios, XML layouts and Android views.

In this program, students learn how to develop, compile and execute programs in C++, a high performance programming language. The primary concepts covered in this program include data structures & algorithms, memory management, concurrency, and object oriented programming.

In this program, you’ll learn to analyze data and build models with Excel, query databases using SQL, and create informative data visualizations with Tableau.


In Deep Reinforcement Learning, students learn cutting-edge deep reinforcement learning algorithms—from Deep Q-Networks (DQN) to Deep Deterministic Policy Gradients (DDPG).


In this program,  you’ll learn to write programs using  foundational AI algorithms and to master Beam Search and Random Hill Climbing, Bayes Networks and Hidden Markov Models.


In the Digital Marketing Nanodegree program, you’ll learn to create marketing content, use social media, make content searchable with SEO, run Ads campaigns and advertise on Facebook, and then, you will learn how to measure performance in each channel.


Udacity