Discover our Skill Collections

Clean up messy data, uncover patterns and insights, and communicate your findings. You'll start with an introduction to data analysis tools, including Jupyter Notebook, NumPy, pandas, and Matplotlib. Using these tools, you will ask questions about data and answer them through data collection, exploration, wrangling, and visualization. This intermediate-level program includes real-world projects where you will choose your own datasets, research questions, and analysis approach. As you progress through the program, each course will repeat the data analysis process while introducing more advanced techniques, such as applying data imputation to fill in missing data and applying appropriate encodings when developing data visualizations.

Data Analyst

Welcome to the world of programming! Learn the skills that all programmers use, whether they build apps, web pages, or analyze data.

Introduction to Programming

Build foundational skills in deep learning by designing and training neural networks to solve complex real-world problems. You’ll begin with the essentials of neural networks, advancing to specialized architectures like Convolutional and Recurrent Neural Networks, along with Generative Adversarial Networks. Through projects, create models for applications such as image classification, sentiment analysis, and face generation, gaining hands-on experience with PyTorch and advanced training techniques. Ideal for those aiming to harness the potential of deep learning, this experience prepares you to tackle AI challenges across various domains.

Deep Learning

Develop a strong foundation in Python programming for AI, utilizing tools like NumPy, pandas, and Matplotlib for data analysis and visualization. Learn how to use, build, and train machine learning models with popular Python libraries. Implement neural networks using PyTorch. Gain practical experience with deep learning frameworks by applying your skills through hands-on projects. Explore generative AI with Transformer neural networks, learn to build, train, and deploy them with PyTorch, and leverage pre-trained models for natural language processing tasks. Designed for individuals with basic programming experience, this program prepares you for advanced studies in AI and machine learning, equipping you with the skills to begin a career in AI programming.

AI Programming with Python

Gain real-world experience running live campaigns as you learn from experts. Launch your career with a 360-degree understanding of digital marketing.

Digital Marketing

Learn to design data models, build data warehouses and data lakes, automate data pipelines, and work with massive datasets.

Data Engineering with AWS

Master essential data analysis skills to drive informed business decisions across industries. This program covers data fundamentals, teaching you to collect, analyze, and visualize data using Excel, SQL, and Tableau. Learn to work with spreadsheets, perform statistical analysis, create financial models, and build interactive dashboards. Apply your skills to real-world projects, such as analyzing NYSE S&P financial data and optimizing business practices using a digital music store database. Gain proficiency in data-driven decision-making, financial forecasting, and creating impactful visualizations. This program is designed for aspiring business analysts and professionals seeking to enhance their data analysis and interpretation capabilities in a business context.

Business Analytics

Master writing in Swift as you build five portfolio-worthy iOS apps to demonstrate your expertise as an iOS Developer. 

System Requirements: This program requires a MacOS computer with Ventura 13.5 or higher.

 iOS Development with SwiftUI and SwiftData

Learn programming skills needed to uncover patterns and insights in large data sets, running queries with relational databases and working with Unix shell and Git.

Programming for Data Science with Python

Get hands-on experience running data pipelines, designing experiments, building recommendation systems, and more.

Data Scientist

React is completely transforming the Front-End Development landscape. Come master this powerful UI library, and learn career-ready skills with Udacity. You'll learn how to build declarative user interfaces for the web with React, and for iOS and Android with React Native. You'll also learn how to manage state more predictably in your applications with Redux.

React

Develop essential product management skills to launch successful products in today's competitive market. This comprehensive program covers the entire product lifecycle, from ideation to launch and beyond, teaching you market research, product strategy, roadmap creation, and development management. Through hands-on projects and real-world scenarios, you will gain practical experience and apply concepts directly to simulated product launches. You will be equipped with skills in market analysis, agile methodologies, user experience design, and data-driven decision-making, preparing you for roles in product management. This program is ideal for aspiring product managers and professionals looking to transition into product-focused roles.

Product Manager

Learn C++, a high-performance programming language used in the world's most exciting engineering jobs -- from self-driving cars and robotics to web browsers, media platforms, servers, and video games.

C++ 

Learn how to create server-side, data-driven web applications that support any front-end and can scale to support hundreds of thousands of users.

Full Stack Web Developer

Get hands-on practice with over 100 data structures and  algorithm exercises and guidance from a dedicated mentor to help prepare you for interviews and on-the-job scenarios.

Data Structures and Algorithms

Become a Front-End Web Developer by completing a variety of projects for your portfolio - become an HTML, CSS and JavaScript pro!

Front End Web Developer

Complete real-world projects designed by industry experts, covering topics from asset management to trading signal generation. Master AI algorithms for trading, and build your career-ready portfolio.

AI for Trading

The UX Fundamentals & Design Research program teaches the core principles of human-centered design, including scoping a design problem, conducting in-depth interviews, creating quantitative surveys, using research data to uncover opportunities, and applying psychology to design sketches with the end user in mind. Participants will learn how to develop a discussion guide, recruit research participants, and synthesize findings in the form of a research report. They will also learn how to translate research findings into low-fidelity prototypes that can be tested with users, design high-fidelity prototypes, and conduct usability tests. Finally, the program teaches advanced user interface principles to build interactive designs that engage users and improve key performance indicators.

User Experience

Master the skills to get computers to understand, process, and manipulate human language. Build models on real data, and get hands-on experience with sentiment analysis, machine translation, and more.

Natural Language Processing

Master the computer vision skills behind advances in robotics and automation. Write programs to analyze images, implement feature extraction, and recognize objects using deep learning models.

Computer Vision

In this program, you’ll develop the skills you need to join the rapidly growing cloud devops field. 

Cloud DevOps Engineer

Elevate your tech skills with our innovative program focused on Cloud Computing, Microservices, and Serverless Technologies. Master the fundamentals of AWS, learn to build and deploy scalable, full-stack applications on the cloud, and grasp the principles of modern cloud architecture. Delve into microservices, understanding architecture patterns, service replication, and independent scaling. Harness the power of serverless technologies, creating REST APIs and implementing security best practices. Our hands-on exercises offer practical experience, equipping you to design, build, and deploy complex applications. Stay ahead in the digital era with our comprehensive tech program.

Cloud Developer

Learn the essentials of building a self-driving car, including probability, C++, machine learning, and linear algebra.

Introduction to Self-Driving Cars

Develop advanced AI solutions with applications ranging from robotics to financial trading. To gain a foundation in AI techniques, you will implement classical solution methods, define Markov decision processes, policies, and value functions, and derive Bellman equations. Then, you will learn dynamic programming, Monte Carlo methods, temporal-difference methods, and deep reinforcement learning (deep RL) and apply these techniques to solve real-world problems. You will train agents to navigate virtual worlds, generate optimal financial trading strategies, and apply RL to multiple interacting agents.

Deep Reinforcement Learning

Machine Learning Courses

Generative AI Courses

Python Courses

Product Management Courses

SQL Courses

Discovery Courses 

Google Cloud Digital Leader

C++ Courses

JavaScript Courses

Data Engineering Courses 

Neural Networks and Deep Learning Courses

Fluency Courses 

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data science

autonomous systems

artificial intelligence

business

programming and development

executive leadership

product management

cybersecurity

cloud computing

Career resources

Data pipeline dags

Azure pipelines

Data pipeline maintenance

Data pipeline creation

Azure Data Factory

World Model Awareness

Sensors

Data preparation

Data wrangling fundamentals

Alteryx

Data pre-processing

Data cleaning

Hyperparameter tuning

Professional presentations

Decision trees

Logistic regression

Spam detection

Linear regression

Quantitative data visualization

Support vector machines

Chart types

Model evaluation

Statistical modeling fundamentals

Categorical data visualization

Perceptron

scikit-learn

Convolutional kernels

Naive bayes classifiers

Ides

R syntax

Data structures

R function definition

Control flow in r

R data structures

Gemini

Exploratory data analysis

Product management basics

2D Animation

Synfig Studio

Intrusion detection systems

Security information and event management

Cybersecurity incident response playbooks

Network traffic capture

Splunk

Cybersecurity incident remediation

Logging

Snort ids

Large Language Models

Cloud solution evaluation

AI and ML applications

OpenAI API

Azure ai services

GenAI Models

Quantum Computing Awareness

Rust Advanced Types

Control Flow in Rust

Rust

Traits and Generics in Rust

Concurrency in Rust

Rust Macros

Rust Data Types

Rust Basics

Concurrent computing

Rust FFI

Rust Cargo and Crates

Rust Functions and Modules

Ownership and Borrowing in Rust

Testing in Rust

Data fluency

Security architecture fundamentals

Cybersecurity risk management

Patch management

Cybersecurity business context

Email security

Threat intelligence

Cis controls

Data privacy regulations

Identity and access management fundamentals

Cybersecurity fluency

Exploit detection

Vulnerability management

Cybersecurity regulations and standards

Nist cybersecurity framework

Cybersecurity governance

File i/o

Test-driven development

Typescript typing

Express web framework

Prettier

Typescript exception handling

Jasmine

Typescript async/await

Unit testing

JavaScript package management

Typescript promises

API testing

JavaScript event loop

Typescript syntax

Eslint

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Discover our Skill Collections