Udacity

Develop a strong foundation in Python programming for AI, utilizing tools like NumPy, pandas, and Matplotlib for data analysis and visualization.

Learn the latest in development technology using Android Studio

Master the foundations of artificial intelligence by exploring essential AI techniques, including search algorithms, symbolic logic, and planning systems.

Master AI algorithms for trading, and build your career-ready portfolio.

Master blockchain, from fundamentals to smart contracts.

Learn to clearly define business issues, prepare and clean data, implement a variety of predictive modeling techniques, and tell stories with data.

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.

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

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.

This pathway will cover data analysis with Python and SQL. The primary concepts taught in this program include, Data Wrangling, Matplotlib, Bootstrapping, Pandas & NumPy and Statistics.

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

In this program, you’ll not only tackle these real-world applications but also gain the skills to envision new solutions yourself. You’ll build projects that directly mirror the work done by data scientists in the field, incorporating the latest AI tools in both your workflows and your deliverables.

Learn the latest skills to process data in real-time by building fluency in modern data engineering tools, such as Apache Spark, Kafka, Spark Streaming, and Kafka Streaming.

This Data Visualization Nanodegree program covers four courses on data visualization and storytelling. Students will learn to select appropriate visualizations, design effective dashboards, and tell data stories that uncover insights and make recommendations. They will use Tableau to build interactive dashboards and create polished presentations with data visualizations. Through a series of projects, students will learn to discover user needs, identify key metrics, prototype, and design dashboards, analyze data to find insights and communicate recommendations effectively.

Build foundational skills in deep learning by designing and training neural networks to solve complex real-world problems.

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.

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

Master autonomous flight software engineering skills as you learn about drone robotics, develop sophisticated flying car systems, and write real code for real aircraft.

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. The subjects covered include: CSS, HTML, Object Oriented Programming (OOP), Node.js, JavaScript

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.

Start with foundational supervised learning algorithms, including linear regression, decision trees, naive Bayes, support vector machines (SVMs), and perceptrons, then evaluate your model performance with a variety of evaluation metrics. Then, you'll advance from perceptrons to deep neural networks in order to perform supervised learning on complex data sources such as images. Finally, you'll dive into unsupervised learning methods, including clustering and dimensionality reduction for customer segmentation. For each technique, you'll start by learning the underlying math, then implement real-world models with Python libraries, including PyTorch and scikit-learn.

Learn the skills that all programmers use, whether they build apps, web pages, or analyze data.

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

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.

Learn enterprise scale back-end development with Java, and be prepared for the software engineering jobs that are in demand at a majority of Fortune 500 companies like Google, Amazon, and more.

Develop the skills to build and deploy machine learning models in production environments using Amazon SageMaker. Understand the foundations of data science and machine learning as you explore Amazon SageMaker's latest features for model design and deployment. Engage in hands-on projects and case studies that mirror real-world scenarios, applying best practices to create scalable, production-ready machine learning solutions. Enhance your expertise in areas such as data preprocessing, model training, and deployment pipelines. Learn to leverage Amazon SageMaker's capabilities, including its integrated development environment, automated model tuning, and deployment services. This program is designed to advance your career by providing practical experience in deploying ML models at scale.

Gain foundational data skills applicable to marketing. Collect and analyze data, model marketing scenarios, and communicate your findings with Excel, and Tableau.

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.

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.

This Programming for Data Science with R Nanodegree program provides an overview of data analysis and programming.

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.

Fuse computer vision, machine learning, mechanics, and hardware systems to build bots of the future!

Work on the future of autonomous vehicles and help make the self-driving car revolution a reality!

The Sensor Fusion Engineer Nanodegree program consists of four courses that teach the fundamentals of sensor fusion and perception for self-driving cars.

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.