Learning roadmaps give you a structured path from where you are to where you want to be. Instead of randomly consuming AI content, follow a focused plan that builds skills in the right order.
AI Learning Roadmaps
AI Power User (4-8 weeks)
For professionals who want to use AI tools effectively without technical depth. Start with AI fundamentals, move to hands-on tool tutorials, learn prompt engineering, then build automation workflows.
AI Product Manager (3-6 months)
For PMs building AI-powered products. Cover AI fundamentals, data literacy, ML basics, user research for AI features, ethical considerations, and AI product strategy. Pair with a Google or Microsoft AI certification.
Machine Learning Engineer (6-12 months)
For developers transitioning to ML. Mathematics foundations, Python for ML, supervised and unsupervised learning, deep learning, NLP, computer vision, and MLOps. Follow with the AWS or Google Cloud ML certification.
AI Prompt Engineer (2-4 weeks)
For anyone specializing in getting the best results from AI. Master prompt engineering techniques, learn different AI model strengths, build prompt libraries, and practice across use cases.
For courses, see AI Courses. For career opportunities, explore Career Paths.