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

AI Agentic Design Patterns with Ollama & OpenAI Guide [NEW] udemy course free download

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

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.