Artificial Intelligence
A grounded AI course: history of ideas, data, classical ML overview and modern tool use.
AI courses separate marketing slogans from usable skills: data, models, evaluation and responsible use of tools.
Generative AI and AI-for-professionals batches are designed for people who will apply tools at work, not only researchers.
A grounded AI course: history of ideas, data, classical ML overview and modern tool use.
Supervised and unsupervised ML with Python: train/test splits, metrics and honest evaluation.
Neural networks with a practical library, for learners who already know ML basics.
Working with large language and image models productively, including limits and data privacy.
Practical AI tools for office, marketing and development workflows — not a research degree.
AI literacy for working adults: prompts, review, policy and task redesign.