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Prompting, Context, Knowledge AI, and Agentic Workflows

Courses for learners and teams building stronger prompting, context design, knowledge-grounded AI use, assistant design, and agentic workflow capability.
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A first-step prompting course for learners who need clearer instructions, better responses, and stronger control over everyday AI outputs across writing, ideation, and task support.
An essentials course on improving everyday AI reliability through better task framing, clearer context, simple constraints, and stronger output-checking habits.
An essentials course on using AI against your own documents, notes, and internal knowledge more safely and usefully, with stronger grounding, source discipline, and retrieval awareness.
A Fundamentals AISDI™ course on agentic foundations and AI assistant design, helping learners improve productivity with AI.
A Fundamentals AISDI™ course on agentic foundations and AI assistant design, helping learners improve productivity with AI.
A fundamentals-level prompting course that helps professionals shape tone, structure, format, and context more deliberately so AI outputs become clearer, more useful, and easier to trust.
A foundations course for teams and practitioners who need stronger context design, constraint logic, and repeatable methods for producing higher-quality AI outputs.
An essentials course on spotting weak AI outputs, improving quality before reuse, and building lightweight verification habits that reduce rework and decision risk.
A readiness-focused course for organizations preparing internal knowledge, records, permissions, and content quality so AI can operate against enterprise information more reliably.
A fundamentals course on how agentic workflows differ from simple prompting, how tasks can be decomposed across steps and roles, and how to keep controlled human oversight in place.
An intermediate course for writers, communicators, and creative professionals who need stronger control over tone, style, persona, revision flow, and creative collaboration with AI.
An Intermediate AISDI™ course on knowledge systems, retrieval, and insight development, helping learners build career-relevant AI capability.
An Intermediate AISDI™ course on workflow orchestration and multi-agent coordination, helping learners improve productivity with AI.
An intermediate prompting course for adapting prompts to higher-stakes and domain-specific contexts where structure, accuracy, compliance, and conditional logic matter more.
A team-focused course on building shared prompt systems, reusable context structures, handoff rules, and operational discipline so AI use becomes more consistent across people and workflows.
A specialist course on evaluating LLM performance in business settings, building QA routines, defining acceptance criteria, and testing outputs more systematically before operational use.
A specialist course on using retrieval-augmented approaches in business settings so AI outputs are better grounded in trusted sources, internal documents, and more controlled information flows.
A practice-oriented course on designing multi-step agentic workflows, defining control points, testing role handoffs, and improving the reliability of semi-autonomous task execution.
An advanced course for designing prompt architectures, chained task flows, and controlled enterprise-grade prompt systems where precision, cost, and compliance all matter.
An Advanced+ AISDI™ course on workflow orchestration and multi-agent coordination, helping learners improve productivity with AI.
A specialist course on governing the information layer behind AI use, with attention to source quality, stewardship, permissions, retrieval boundaries, and controlled knowledge reuse.
An advanced course on operating agentic systems with stronger monitoring, incident handling, control logic, and oversight practices once workflows move into more persistent use.
A specialist course on governing prompt and context use through approval logic, reuse rules, control points, and oversight practices that improve consistency and reduce unmanaged AI behavior.
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