Browse the full curriculums, modules, time-to-completion, and certification process for the NVIDIA Deep Learning Institute, Google Career Certificates, and Anthropic's Claude — side by side.
Each pathway page lists every module, the time-to-completion, the certificate awarded, and the certification process — straight from the source program.
Four stackable DLI tracks — from a non-technical AI primer to Jetson Developer certification with a deployed edge-AI capstone.
Six Google Career Certificates across AI Essentials, Data Analytics, Project Management, IT Support, Cybersecurity, and Digital Marketing — phased over nine months.
Eight-week applied Claude curriculum: foundations, prompting, long context, tool use & MCP, Claude Code, and a deployed capstone workflow.
Every pathway follows the same shape: complete the modules, finish a hands-on project, then sit the certification exam or submit the capstone for the official credential.
Work through each module at your own pace. NVIDIA DLI runs in-classroom or self-paced, Google Certificates run on Coursera, and Claude runs through Anthropic's Skilljar courses and docs.
Each pathway requires applied work — a Jetson deployment, a Google Capstone artifact, or a deployed Claude workflow. The artifact is what proves competency.
Submit the capstone or sit the proctored assessment, and the program issues a verifiable digital certificate (NVIDIA DLI Certificate of Competency, Google Career Certificate badge, or Claude course completion).