AIDU-TOOLS-204
Delivery Type: Live, instructor-led Remote or In person
Prerequisite: Foundation Models, LLMs & Multimodal AI
This course provides professionals with a rigorous, non-technical framework for working effectively with AI tools in modern professional environments. Rather than focusing on specific products or short-lived tool lists, it explains how AI tools function as cognitive and operational extensions of human work.
Participants learn how different classes of AI tools support writing, analysis, research, planning, coordination, and decision support, and how to structure work so that AI augments human capability without degrading judgment, responsibility, or quality. AI tooling is treated as a system, not a collection of apps.
The course examines how multiple AI assistants interact, how context flows between tools, how errors propagate across workflows, and why poorly structured AI use often creates more work instead of less. Emphasis is placed on durable principles, task decomposition, verification habits, and professional accountability in AI-assisted work.
Core Topics:
AI tools as cognitive infrastructure
Classes of AI tools in professional work
Task decomposition for AI-assisted work
Working with multiple AI assistants
Context management and information flow
Verification and review in AI-assisted work
Responsibility and ownership in AI-augmented tasks
Productivity illusions and overuse
Designing sustainable AI-assisted workflows
Prompting as interface, not control
Failure modes in AI tooling
Where AI tools add value and where they do not
Outcomes:
Understand how different classes of AI tools support professional tasks
Structure work so AI tools assist rather than replace thinking
Decompose complex tasks into AI-appropriate and human-only components
Use multiple AI tools coherently without losing context or control
Recognize common failure modes in AI-assisted workflows
Design verification and review habits for AI-generated outputs
Maintain human responsibility and judgment in AI-augmented work
Avoid productivity traps caused by misuse of AI tools
