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AI Engineering with Claude

The AI Engineering with Claude Nanodegree program prepares developers to build and ship production-grade AI agent systems with Claude, the Claude Agent SDK, the Model Context Protocol (MCP), and Claude Code. Across four project-based courses, you'll go beyond demos to engineer the "harness" that runs an agent in production: controlling the agentic loop, governing MCP tools, evaluating systems so silent failures surface before customers do, and enforcing rules in code with bounded autonomy and human-in-the-loop guardrails. Portfolio projects are anchored in real industry scenarios from insurance, retail, financial services, and manufacturing, including an MCP-powered "Agentic Analyst" and an enterprise multi-agent code-review orchestrator.

Responsible AI

This program teaches you how to turn AI governance principles into technical implementation. You'll learn Governance-as-Code by translating regulations like the EU AI Act and GDPR into automated engineering workflows. Build skills in managing, versioning, and securing structured, unstructured, and multimodal data for generative AI and RAG systems. Conduct ethical audits, implement Human-in-the-Loop safeguards, protect enterprise IP, and support Sovereign AI strategies. By the end, you'll be able to design scalable governance frameworks that improve compliance, security, transparency, and responsible AI deployment.

Data Analyst

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.

Introduction to Programming

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

Generative AI Fluency

This course provides a comprehensive high-level overview of Generative AI, beginning with foundational concepts and terminology and then delving into specific applications such as Large Language Models (LLMs) for text generation and diffusion-based models image creation. Key lessons include an in-depth look at LLMs, AI image generation methods, and hands-on experience with tools like DALL-E and Midjourney. The course concludes by addressing practical aspects of deploying Generative AI in production environments, focusing on data collection, prompt execution, maintenance, and orchestration strategies.

AI Programming with Python

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.

Deep Learning

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 Transformers, Generative Adversarial Networks and Diffusion Models. Through projects, create models for applications such as image classification, Q&A, and CAPTCHA image 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.

Agentic AI Fluency

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.

Digital Marketing

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.

Data Engineering with AWS

Learn to design, build, and automate data systems on AWS. Start by modeling data across relational, document, and graph databases—PostgreSQL, MongoDB, and Neo4j—understanding the tradeoffs of each paradigm. Then build cloud data warehouses in Amazon Redshift, designing dimensional schemas and ETL pipelines that extract from diverse sources, optimize query performance, and validate data quality. Explore modern lakehouse architecture with S3, Glue, Iceberg, and Athena, processing data through bronze, silver, and gold layers using Apache Spark. Finally, orchestrate production pipelines with Apache Airflow: scheduling workflows, managing data lineage, and deploying to Amazon MWAA. By the end of this program, you'll be ready to engineer end-to-end data platforms that scale.

Business Analytics with Tableau

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

Programming for Data Science with Python

Learn programming skills needed to uncover patterns and insights in large datasets by querying relational databases, analyzing data with Python, and using industry-standard data science libraries. Develop scripts to automate data collection, cleaning, transformation, and reporting tasks, while building a strong foundation in programming concepts and analytical thinking. Gain experience working in Unix shell environments, managing projects with Git and version control workflows, and applying practical tools used by data professionals to efficiently explore data, solve problems, and communicate results.

Product Manager

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.

Agentic 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.

Data Scientist

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.

iOS Development with SwiftUI and SwiftData

Become skilled in developing high-quality iOS apps. This comprehensive Nanodegree program teaches Swift proficiency, UI design, data management, data integration, and project planning so you can take apps from idea to reality.

React

React is completely transforming the front-end development landscape. Master this powerful UI library and gain career-ready skills by moving from foundational components to professional-grade architecture. You’ll begin by building declarative web user interfaces, mastering JSX, props, and functional state management. As you progress, you’ll dive into intermediate patterns for building resilient, scalable applications. This includes implementing seamless navigation with client-side routing, optimizing performance, and handling complex data fetching to ensure your apps remain responsive and reliable. Finally, you’ll learn to manage application state more predictably using industry-standard patterns and ensure your code is production-ready through comprehensive testing and debugging.

Generative AI

Ready to build production-grade AI? This program equips developers to deploy reliable generative AI solutions. We'll move past theory and focus on the proven implementation patterns you need. You'll master production essentials like model selection, cost estimation, and reliable prompt engineering to build efficient apps. You'll also implement lightweight model adaptation using PEFT. Then, you'll build end-to-end RAG systems, using vector databases to connect LLMs to your data and evaluate quality with frameworks like RAGAs. Finally, you'll dive into advanced multimodal applications that process text, images, and audio. You'll enforce structured outputs with Pydantic and implement system observability to build, trace, and debug modern AI apps.

C++

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.

Backend Developer with Python

Build real-world web applications from scratch. This Nanodegree teaches full stack development using Flask, SQL, and Docker with a focus on APIs, security, and deployment skills.

Data Structures and Algorithms

Sharpen your problem-solving skills in this Nanodegree program. Practice over 100 algorithm and data structure challenges, learn Python-based techniques, and prepare for interviews with mentor guidance and real coding scenarios.

Front End Web Developer

Launch your career in front-end development with this Nanodegree. Build professional web pages, optimize performance, and create interactive experiences using JavaScript, CSS, and modern web tools.

AI Product Manager

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.

User Experience

Break into UX with this beginner-friendly Nanodegree. Learn the full design process—from scoping and research to wireframing and testing—and graduate with a portfolio that showcases your UX thinking and skills.