AI Literacy Course: Use ChatGPT, Claude & Gemini at Work
Use ChatGPT, Claude, and Gemini with confidence at work: learn the vocabulary, how models work, when to verify them, and reusable prompts. 8 chapters, foundations level.
claude cowork marketing, ai content marketing, claude for marketing agencies, ai seo audit course, brand voice content with ai, ai email sequence generator, campaign planning with claude, marketing agency workflow ai
practitioner
en
It is built for marketing professionals, agency operators, and content and SEO practitioners who want to run client and in-house marketing on Claude Cowork. It is a practitioner-level path aimed at a business audience, not engineers.
1,7 ore
online
What will I learn in this Claude Cowork marketing course? You learn to run marketing and agency work on Claude Cowork using Anthropic's official Marketing plugin: generating brand-tuned content, running SEO audits, planning multi-channel campaigns and email sequences, and delivering client-ready performance reports. The path spans five chapters, including a dedicated agency-at-scale module.
Use ChatGPT, Claude, and Gemini with confidence at work: learn the vocabulary, how models work, when to verify them, and reusable prompts. 8 chapters, foundations level.
A decision-framework deep learning course for engineers. Choose PyTorch vs TensorFlow, judge depth vs classical ML, weigh transfer learning, and reason about CNNs. 7 chapters.
Build production multi-agent systems with the OpenAI Agents SDK and Claude Agent SDK, the engine behind Claude Code. 9 chapters for working engineers.
Ship AI features to production: prompting, RAG, structured outputs, fine-tuning, and inference tuning. Hands-on, free, 12 chapters (~4.3h) for engineers.
Ship AI inside Microsoft Power Platform: AI Builder, Power Apps and Power BI Copilot, Dataverse agents, plus DLP governance. 6 chapters, ~2h, practitioner level.
Build classical ML models that hold up in production. With scikit-learn, learn data splitting, EDA, feature engineering, and algorithm selection across 7 practitioner chapters.
Build production AI agents that use tools, remember across sessions, and recover from failures. Hands-on with MCP, Agent Skills, and agentic RAG, 8 chapters for engineers.
Build real software with AI without writing code: custom assistants, AI agents, dashboards, and clickable prototypes. Hands-on with Claude Code, ChatGPT, and Lovable. 7 chapters…