Agentic AI Design Pattern

  • BeginnerLevel

  • 2 Hrs Duration

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About this Course

  • Learn the fundamentals and applications of key agentic design patterns—Reflection, Tool Use, Planning (ReAct), and Multi-Agent systems—in AI workflows.
  • Gain hands-on experience in developing Python-based agents using state-of-the-art LLMs like Groq for tool-building, reasoning, and coordination.
  • Learn how to combine these design patterns to create modular, extensible, and high-performing autonomous agents.

Learning Outcomes

Master Agentic Patterns

Explore Reflection, Tool, ReAct & Multi-Agent models.

Build Agents with Python

Explore Groq & Python to design modular AI agents.

Apply in Real AI Systems

Implement scalable agentic workflows in your practice

Who Should Enroll

  • Students eager to learn practical AI agent design using real-world LLM tools like Groq.
  • AI/ML engineers wanting hands-on experience in building modular autonomous agents.
  • Product developers and architects aiming to integrate agentic workflows in GenAI apps.

Course Curriculum

Explore a comprehensive curriculum covering Python, machine learning models, deep learning techniques, and AI applications.

tools

  1. 1. Implementing Reflection Pattern to evaluate output

  1. 1. How to build tools from scratch using Python and Groq LLMs

  1. 1. Building a ReAct Agent from Scratch

  1. 1. Building a minimalistic multiagent framework

Meet the instructor

Our instructor and mentors carry years of experience in data industry

company logo
Miguel Otero Pedrido

Founder @The Neural Maze|ML Engineer

Miguel Otero Pedrido, founder of The Neural Maze, shares practical ML, NLP, and CV insights through code and tutorials, drawing from his real-world AI experience across industries.

Get this Course Now

With this course you’ll get

  • 2 Hours

    Duration

  • Miguel Otero Pedrido

    Instructor

  • Beginner

    Level

Certificate of completion

Earn a professional certificate upon course completion

  • Globally recognized certificate
  • Verifiable online credential
  • Enhances professional credibility
certificate

Frequently Asked Questions

Looking for answers to other questions?

Design patterns offer reusable, structured approaches to solving common challenges in agent design—like reasoning, coordination, or decision-making—making development more scalable and modular.

The Reflection Pattern enables agents to self-evaluate or critique their responses to improve accuracy, coherence, and alignment with goals—mimicking human reflection loops.

Tool Patterns allow agents to extend their functionality by interacting with external tools or APIs, enabling complex operations like web scraping, calculations, or API calls beyond native model outputs.

A ReAct Agent blends reasoning and action by planning next steps based on intermediate results, using a structured loop of “think-act-think” to solve tasks more effectively.

Yes, a certificate of completion will be issued by Analytics Vidhya after you finish the course and its assessments.

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