Current
Intermediate
Agentic AI Explained
NVIDIA Deep Learning Institute (DLI) · NVIDIA · Updated March 2026
Platform rating
4.3/5
AI Tutor Rating
7.8/10
Duration
1 hour
Classes
13
Introduction to agentic AI, covering agent architectures, design patterns, and real-world applications.
What you'll get
Define agentic AI and its building blocks
Identify agent design patterns and applications
Outline steps to build a simple agent
Fit
Best for
Operations
No-code builders
Solopreneurs
Technical PMs
Not ideal for
Learners seeking only entry-level overviews
Prerequisites & pricing
Prerequisites
Basic programming familiarity recommended
Pricing
Free
Certification
No
Growth Leverage: Completing 'Agentic AI Explained' can lead to roles like AI Product Manager, Automation Engineer, or AI Solutions Architect, enhancing your credentials in a growing field. This course also prepares you for certifications in AI frameworks and expands your capabilities in designing autonomous systems.
Skills Value: The skills gained allow professionals to develop sophisticated AI agents that improve operational efficiencies, with demand surging for these capabilities; roles in AI-related positions often see salary premiums of 10-20% due to the scarcity of qualified candidates.
Agentic AI
Agents