Learning built for careers

Embark on a transformative journey into Generative AI! We'll start by diving into the essentials with an introductory course, progress to mastering text generation with Large Language Models, unravel the complexities of image creation in computer vision and cap it off by bringing AI to life in real-world applications. From foundational theories to building sophisticated chatbots and AI agents, this program will empower you with job-ready skills in the exciting field of Generative AI.

Go beyond single chatbots to engineer sophisticated, coordinated teams of AI agents. This Nanodegree guides you from advanced prompting techniques like Chain-of-Thought and ReAct to designing agentic workflows with patterns like Routing and Parallelization. You'll master building and orchestrating agents in Python that can reason, plan, and use tools to interact with databases and external APIs. Build a powerful portfolio by tackling hands-on projects, including a multi-agent travel planner, an AI-powered project manager, and a fully automated sales system, to solve real-world problems.

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.

Build job-ready skills for a successful PM career with this comprehensive Nanodegree program. Learn the fundamentals of product management from strategy planning to launch with expert guidance and hands-on projects.

Start mastering AI-powered trading with this Nanodegree. Learn to build, backtest, and optimize sophisticated AI-driven trading models, gaining practical skills to succeed in dynamic financial markets.

This advanced Nanodegree prepares you to tackle data science at scale. Work with AI best practices, build production-ready projects, and gain the confidence to lead data-driven solutions.

This Nanodegree program equips you to manage AI products from concept to launch. Learn AI integration, design custom datasets, and develop strategies for Generative AI. You’ll create a PRD, build roadmaps, and explore LLMs in product strategies.

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.

Refine your machine learning skills with this AWS Machine Learning Engineer Nanodegree. Learn to deploy models on SageMaker and design automated workflows with AWS Lambda and Step Functions.

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

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.

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.

Dive into business analytics with this Nanodegre. Master Excel, SQL, and Tableau to analyze data, create interactive dashboards, and deliver insights that drive informed, impactful business decisions.

Build job-ready digital marketing skills by learning from industry experts. Run live campaigns, analyze results, and apply proven techniques to engage audiences and strengthen brand performance in this comprehensive Nanodegree.

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.

Build modern software in a world where AI makes writing code easier—but designing great systems still takes skill. This program helps you strengthen core software engineering practices, including architecture patterns, system design, and test-driven development, while learning how to use AI tools thoughtfully and effectively. You'll learn to design systems that are robust, reliable, modular, and scalable, and to evaluate AI-generated code with confidence. By the end, you won’t just ship working software—you'll think like an experienced engineer, ready to design, evolve, and own complex systems in real-world environments.

In this Nanodegree, you will develop a strong foundation in Python programming, build professional-level coding skills, and learn how to leverage AI-assisted tools to write efficient, effective code. The program is designed to guide you from beginner concepts to practical, real-world applications.

Go beyond basic chatbots and understand the next wave of automation. Learn what AI Agents are and how they work. You will explore the core concepts of agentic reasoning, planning, and tool use. Gain the knowledge to identify high-value opportunities for agentic systems in your business, evaluate their performance, and collaborate effectively with technical teams on AI initiatives.

Take a step further into the world of Python and gain a valuable certification. In this intermediate level Python programming course you will gain an understanding of Python modules and packages, managing exceptions, object-oriented programming, and more. Real world projects and exercises will provide hands on experience you need to be successful in industry.

Prepare for the AWS Solutions Architect Associate exam by developing the skills needed to design secure, scalable, and cost-efficient cloud architectures. Throughout this program, you will explore core AWS services, best practices, and real-world design patterns used by cloud architects. You will learn how to build resilient systems, optimize performance and costs, apply security principles, and create solutions that meet diverse business and technical requirements.

This course introduces students to the powerful AI coding assistant, GitHub Copilot. Beginning with an overview of Copilot's functionality in the first lesson, participants will learn how to effectively utilize this tool in their development workflow. The course covers practical approaches for using Copilot to streamline coding, as well as strategies to refactor legacy JavaScript code for improved maintainability. The final lesson focuses on the next steps for leveraging Copilot’s capabilities beyond the basics, enabling learners to enhance their software development practices and become more efficient coders.

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.

Agentic AI Engineer with LangChain and LangGraph is a program that teaches Python developers how to turn large‑language‑model applications into fully autonomous agents.  You begin with LangChain fundamentals—prompt templates, chains, memory, and single‑tool agents—then progress to multi‑tool planning, self‑critique loops, and deployment practices. Finally, you integrate external knowledge through retrieval‑augmented generation, long‑term memory, and multi‑agent collaboration.

This Nanodegree program equips learners with advanced skills and practical experience in optimizing machine learning models for performance, scalability, and real-world application. Students will explore foundational principles and techniques such as quantization, pruning, and profiling, and apply these to both traditional machine learning models and large language models (LLMs). The program delves into advanced model compression methods, including low-rank compression and knowledge distillation, and covers the design of efficient architectures for hardware acceleration using tools like TensorRT and ONNX. Ultimately, graduates will be able to optimize inference pipelines for LLMs and deploy efficient models to meet specific performance and deployment requirements.

Go beyond single chatbots to engineer sophisticated, coordinated teams of AI agents. This Nanodegree guides you from advanced prompting techniques like Chain-of-Thought and ReAct to designing agentic workflows with patterns like Routing and Parallelization. You'll master building and orchestrating agents in Python that can reason, plan, and use tools to interact with databases and external APIs. Build a powerful portfolio by tackling hands-on projects, including a multi-agent travel planner, an AI-powered project manager, and a fully automated sales system, to solve real-world problems.

This course is for current and aspiring business leaders, executives, and IT managers who want a strong grasp of agentic AI—enough to confidently talk tech without writing code themselves. You’ll learn to spot opportunities, evaluate technical feasibility, understand ROI implications including costs like inference and scalability, and maybe even dip your toes into experimenting with no-code or low-code tools.

Elevate your leadership with this Nanodegree. Develop skills in machine learning fluency, product storyboarding, AI strategy formulation, and ethical practices to embed AI into your corporate strategy and drive growth.

Learn backend development with Go by building secure, production-ready APIs using PostgreSQL, SQL data modeling, authentication, and access control through hands-on projects in this beginner-friendly Nanodegree program.

In this course, you'll become an AI architect by learning the Model Context Protocol (MCP). You'll build sophisticated, agentic systems where multiple AI tools, databases, and servers work together as one. You will write your own Python-based MCP clients (the "brain") that use LLMs to plan and execute tasks, and your own MCP servers (the "tools") that perform specific jobs. Your final project is to build "PriceScout," an autonomous bot that can understand a request, scrape websites, query a database, and deliver a complete analysis. Master the skills to build the next generation of interconnected AI.

This course explores the use of LangChain and LangGraph for building advanced AI agent systems. It introduces learners to graph theory, state machines, and agentic systems, enabling them to build flexible AI-driven solutions for tasks such as knowledge retrieval using cyclical workflows.

Uncover meaningful insights using Google Analytics 4 (GA4). This in-depth Nanodegree program provides valuable instruction on how to track, analyze, and interpret data so you can optimize user experiences and make informed decisions.

Embark on a transformative journey into Generative AI! We'll start by diving into the essentials with an introductory course, progress to mastering text generation with Large Language Models, unravel the complexities of image creation in computer vision and cap it off by bringing AI to life in real-world applications. From foundational theories to building sophisticated chatbots and AI agents, this program will empower you with job-ready skills in the exciting field of Generative AI.

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.

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

The goal of the AI Trading Strategies Nanodegree program is to provide learners with the knowledge to build an AI based trading model. This includes ideation, preprocessing, model development, backtesting, and optimization.

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.

What if you could recommend the perfect movie, predict housing prices to guide smart investments, or anticipate healthcare outcomes like diabetes and breast cancer? These are just a few of the challenges Data Scientists tackle every day. Data science is the driving force behind solving complex problems across industries. It can help HR departments retain their employees, allow policymakers to predict economic outcomes, and even enable NASA scientists to monitor environmental changes. 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.

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.

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.

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.

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.

Learn Azure ML Operations and the skills utilized by Azure Machine Learning Engineers. Gain a working knowledge of workspaces, datastores, key components of a machine learning pipeline, and how to deploy models and consume endpoints. Demonstrate knowledge learned through the building, deployment, and analysis of two customized models in a capstone project.

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.

Automate and streamline the deployment of machine learning models, combining software engineering principles with machine learning workflows. This program covers key skills like writing production-ready code, creating reproducible workflows, and building automated deployment pipelines. Through real-world projects, you’ll develop scalable pipelines, version control for data and models, monitor model performance, and implement CI/CD processes to ensure resilient, maintainable systems. Ideal for data scientists aiming to operationalize their models, these skills empower you to build effective, long-term solutions tailored for industry demands.

Master the foundations of artificial intelligence by exploring essential AI techniques, including search algorithms, symbolic logic, and planning systems. This program guides you through building intelligent agents that can strategize, optimize, and make decisions independently. Engage in hands-on projects where you’ll construct algorithms for problem-solving and automated planning used in robotics and complex logistical systems. You’ll learn to design AI solutions using proven methods, from iterative optimization techniques to advanced search methods, preparing you to solve real-world challenges.

Gain the expertise to structure, manage, and safeguard enterprise-level data systems with this program. You'll learn advanced skills in database design, data modeling, and cloud integration, equipping you to make data-driven decisions and architect resilient systems for modern businesses. With a focus on high-demand skills, this program also covers essential topics in data security and governance, ensuring you're prepared to build scalable, efficient, and secure data infrastructures tailored to organizational needs.

Formulate and evaluate proposals grounded in first principles when assessing opportunities to embed machine learning and artificial intelligence into a corporate strategy.

Build powerful machine learning models to make predictions and uncover hidden patterns. 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 Python programming fundamentals such as data types and structures, variables, loops, and functions.