AI Agentic Design Patterns with Ollama & OpenAI Guide [NEW] | Udemy [Update 01/2025]
English | Size: 1.1 GB
Genre: eLearning[/center]

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: Search engine optimization 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.

Who this course is for:
AI developers building practical applications
Startups creating AI-powered products
Teams implementing workflow automation

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