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Udemy

AI Agentic Design Patterns with Ollama & OpenAI Guide [NEW]

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Overview

Master AI Agentic Design Patterns with Ollama & OpenAI: Build Intelligent, Adaptive Systems for Real-World Applications

What you'll learn:
  • Design and implement intelligent research paper analysis systems using reflection patterns to automatically extract insights and generate comprehensive summary
  • Create sophisticated travel planning agents that utilize external APIs and tools to generate personalized itineraries and manage complex booking workflows.
  • Develop automated content creation systems that can research topics, generate structured articles, and optimize content while maintaining consistent quality.
  • Build collaborative multi-agent systems where specialized agents work together effectively across research, travel planning, and content creation tasks.

Transform your AI development skills by building three production-ready agent systems. Learn how Reflection, Tool Use, Planning, and Multi-Agent patterns come together to create sophisticated AI workflows using Ollama and OpenAI technologies.

Real-World Projects You'll Build

1. Research Paper Analysis Workflow

  • Build an intelligent system that analyzes academic papers

  • Implement agents that extract key findings and insights

  • Create automated literature review systems

  • Generate research summaries and annotations

  • Perfect for researchers, students, and academic professionals

2. AI Travel Agent System

  • Develop a comprehensive travel planning assistant

  • Create agents that handle flight and hotel recommendations

  • Build itinerary optimization systems

  • Implement budget management and scheduling

  • Ideal for travel applications and booking systems

3. Automated Article Writing Pipeline

  • Build a sophisticated content creation system

  • Implement research and fact-checking agents

  • Create style-aware writing assistants

  • Develop content optimization tools

  • Essential for content platforms and marketing teams

The Four Patterns in Action

  • Pattern Implementation Across Projects

Learn how each pattern drives our real-world applications:

Reflection Pattern

  • Research: Self-reviewing paper analysis quality

  • Travel: Improving recommendations based on feedback

  • Writing: Content quality assessment and improvement

Tool Use Pattern

  • Research: Integration with academic databases and citation tools

  • Travel: Connection to booking APIs and price comparison tools

  • Writing: SEO tools and content optimization platforms

Planning Pattern

  • Research: Structured paper analysis workflow

  • Travel: Intelligent itinerary creation

  • Writing: Content structure and article outline generation

Multi-Agent Pattern

  • Research: Specialized agents for different paper sections

  • Travel: Collaborative booking and planning agents

  • Writing: Research, writing, and editing agent teams


Join now to learn how to build sophisticated AI agent systems through hands-on, real-world projects. Transform theoretical patterns into practical, production-ready applications.

Syllabus

  • Introduction
  • Source code and Resources
  • AI Agentic Design Patterns - Deep Dive
  • The Reflection Pattern - Hands-on
  • The Tool Use Pattern
  • The Planning - ReAct - Pattern
  • Multi-agent (Collaboration) Pattern
  • Wrapup

Taught by

Paulo Dichone | Software Engineer, AWS Cloud Practitioner & Instructor

Reviews

4.5 rating at Udemy based on 565 ratings

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