DeepLearning.AI
Generative AI for Everyone
AI landscape · responsible AI
A non-technical orientation to how generative AI creates value, where its limits are, and how to use it responsibly in everyday work.
View public course page6 interactive lessons · 255 min total
AI Foundations & Fluency
Build the foundational AI literacy every modern professional needs. From understanding how Large Language Models actually work to writing your first structured prompt — this pathway takes you from curious observer to confident AI collaborator.
of knowledge workers already use AI tools
Only 13% have received formal training
How Generative AI Works
LLM Fundamentals
The AI Landscape
Model Selection
Prompt Engineering
COSTAR Framework
The 4D Framework
AI Fluency
AI Diligence
Ethics & Governance
Building AI Culture
90-Day Roadmap
How Generative AI Works
LLM Fundamentals
The AI Landscape
Model Selection
Prompt Engineering
COSTAR Framework
The 4D Framework
AI Fluency
AI Diligence
Ethics & Governance
Building AI Culture
90-Day Roadmap
Click any course to explore its content, topics, and outputs.
These recommendations are optional extensions drawn from established learning providers. They are not prerequisites for the free learning in AI Enablement Hub; access and availability may vary by provider, location, or learner plan.
DeepLearning.AI
AI landscape · responsible AI
A non-technical orientation to how generative AI creates value, where its limits are, and how to use it responsibly in everyday work.
View public course pageGoogle Cloud
GenAI foundations · LLM basics
A concise grounding course for learners who want a clearer mental model of generative AI before moving into prompting or workflow use.
View public course pageIBM
Prompt engineering · prompt patterns
A practical complement to COSTAR, focused on structuring prompts and improving the first-pass quality of AI-generated outputs.
View public course pageLinkedIn Learning · Ronnie Sheer
Prompting · multimodality · responsible use
A 1-hour introduction that connects prompt fundamentals with responsible text generation, mainstream tools, image-generation context, prompt refinement, and API-aware practice.
View public course page