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Learn a skill. Earn a certificate. Add it to your resume. Data science, generative AI, project management, cybersecurity, business, design, and more — there's a certificate for every career goal.
Learn to use precise prompts with ChatGPT, Claude, and other generative AI tools to control output size, format, and text modifications.
Use AI tools to generate ideas and content, research and organize projects, draft emails faster, write effective prompts, and apply AI responsibly at work.
Apply AI across work domains: turn briefs into workback plans, build research reports and marketing videos, clean messy data with natural language, and build no-code AI tools.
Hands-on training in analyzing datasets, building predictive models, and creating AI-powered applications with Python and industry tools.
Build and train neural networks in PyTorch across CNNs, RNNs, transformers, and GANs for image, language, and generative tasks.
Build machine learning, deep learning and generative AI skills across applied data science, computer vision, NLP and speech, reinforcement learning, MLOps, Azure AI and a capstone.
Apply model-based reasoning, decompose problems into algorithms, judge evidence from statistics and experiments, and build GenAI prompts that surface assumptions, sources, and alternatives.
Build and train CNNs, sequence models, transformers, GANs, and diffusion models in PyTorch through projects in vision, Q&A, and CAPTCHA generation.
Learn machine learning with Python: analyze data, build models, implement algorithms, and work through advanced statistics with step-by-step tutorials.
Hands-on practice using ChatGPT and Microsoft Copilot to streamline workplace tasks, generate content, and manage everyday business projects.
Build computer vision programs that extract image features, classify and caption images, and track objects using deep learning.
Use AI across the UX/UI design process, from research synthesis and ideation through testing, accessibility review, writing, and documentation.
Build strategic fluency to evaluate and lead machine learning, generative AI, and agentic AI initiatives without writing code.
Manage AI products from concept to launch: write a PRD, build roadmaps, commission bespoke multimodal datasets, and plan GenAI features with retrieval and fairness metrics.
Learn to build, deploy, and operationalize machine learning models on Amazon SageMaker, using AWS Lambda and Step Functions to automate scalable workflows.
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