AI Across Industries

Dive into ethical AI principles including fairness, transparency, bias reduction, and governance. Apply practical skills to develop responsible AI systems that promote trust and accountability.

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.

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.

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.

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.

The AI for Healthcare program offers two courses that apply AI to 2D and 3D medical imaging data. The first course covers fundamental skills needed to work with 2D imaging data, such as extracting images from DICOM files, building AI models, and obtaining regulatory approval. The course project involves training a CNN to classify chest X-rays for the presence of pneumonia and writing an FDA validation plan. The second course covers 3D imaging data, including clinical fundamentals, imaging modalities, and common analysis tasks. It also explores how AI can be integrated into the clinical workflow. Both courses are designed to teach students how to derive clinically relevant insights from medical imaging data using AI.

Contribute to a more inclusive AI future by exploring accessible design. This course highlights how AI can support people with disabilities while addressing key ethical concerns.

Bridge the gap between technology and business strategy. Explore how to evaluate generative AI’s potential, mitigate risks, and implement scalable, real-world solutions that drive sustainable growth.

Step into healthcare innovation with this comprehensive Nanodegree. Master AI-driven analysis of electronic health records while navigating privacy, bias, and uncertainty to improve medical outcomes effectively.

Refine your AI skills by mastering Differential Privacy, Federated Learning, and Encrypted Computation. Develop privacy-first models that protect sensitive data while enabling secure, scalable, and responsible machine learning.

Ideal for beginners eager to explore AI’s impact on society, this course covers governance, policy, trust, and fairness to help build ethical AI that respects human values and benefits society.

Learn how computers process and understand image data, then harness the power of the latest Generative AI models to create new images.

Develop skills to build, deploy, and manage AI solutions using Azure Cognitive Services, machine learning, and Microsoft Bot Framework. Gain hands-on experience through real projects guided by industry experts.

Combine digital art techniques with AI tools like DALL-E, ArtBreeder, and Midjourney to create unique and innovative artwork. This course covers design fundamentals and prompt crafting for AI-generated images.