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DeepLearning.AIIntermediateFeatured

Agentic AI

Andrew Ng on design patterns for multi-step agentic workflows, taught in Python from first principles.

Duration8 hours
PriceFree
FormatInteractive
LevelIntermediate

What you'll learn

  • Deconstruct a process into an agentic workflow
  • Implement reflection, tool use, and planning patterns
  • Run error analysis instead of guessing at prompts
  • Evaluate agent paths before you ship

About this course

A DeepLearning.AI course on building agentic systems that take action through iterative workflows. The emphasis is design patterns and error analysis, not a single vendor framework. Confirm the syllabus on deeplearning.ai/courses/agentic-ai.

Prerequisites

Familiarity with Python. Some LLM prompting helps.

Topics

AI AgentsLLMsPrompt Engineering

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Free

8 hours·Interactive

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Independent listing. AI Learn Grid is not affiliated with DeepLearning.AI and does not sell this course. You leave our site and their terms, pricing, and privacy policy apply. Some links may become affiliate links later; learn more.

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