Udemy
    •  
    •  
    •  
    •  
    •  
    •  
    •  
    •  
Turn what you know into an opportunity and reach millions around the world.
Learn More
Your cart is empty.
Keep shopping
AI Agentic Design Patterns with Ollama & OpenAI Guide [NEW]
Rating: 4.5 out of 5(632 ratings)
4,149 students

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

Master AI Agentic Design Patterns with Ollama & OpenAI: Build Intelligent, Adaptive Systems for Real-World Applications
Created byPaulo Dichone | Software Engineer, AWS Cloud Practitioner & Instructor
Last updated 1/2026
English
German [Auto],English [Auto],

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.

Course content

8 sections • 24 lectures • 1h 46m total length

  • Introduction & Who is the Course For1:13

    Explore AI genetic patterns—reflection, tool use, planning, and multi-agent patterns—with hands-on sessions and practical use cases for developers, AI engineers, open minded learners, machine learning engineers, and data scientists.

  • Course Pre-requisites & Structure1:16

    Prepare by knowing a programming language—Python preferred—while grasping ai basics, machine learning, large language models, and ai agents; this course blends theory with hands-on practice.

  • Development Environment Setup1:33

    Set up your development environment by installing Python and a code editor, obtain an OpenAI account with an API key, and use llama locally (open source) to avoid API costs.

  • AutoGen Deep Dive - Crash Course5:00

    Autogen, an open source framework for building AI agents and workflows, enables multi-agent communication, orchestration, and human-in-the-loop, with convertible agents leveraging large language models and a function and tool executor.

Requirements

  • Basic Python programming skills
  • Basic AI/ML concepts

Description

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.

Who this course is for:

  • AI developers building practical applications
  • Startups creating AI-powered products
  • Teams implementing workflow automation

Report abuse