English | MP4 | AVC 1280×720 | AAC 44KHz 2ch | 23 lectures (1h 46m) | 1.18 GB
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.
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.
Table of Contents
Introduction
1 Introduction & Who is the Course For
2 Course Pre-requisites & Structure
3 Development Environment Setup
4 AutoGen Deep Dive – Crash Course
Source code and Resources
5 Get Source code and Resources
AI Agentic Design Patterns – Deep Dive
6 Introduction to Design Patterns – Overview
7 The AI Agentic Design Patterns – Overview
The Reflection Pattern – Hands-on
8 The Reflection Agentic Design Pattern Overview
9 Reflection Design Pattern Workflow Overview
10 Hands-on – Reflection Design Pattern – Part 1
11 IMPORTANT – OpenAI API Alternative – Ollama Models Locally – FREE Cost!
12 Adding the Reflection and Orchestration parts to the Workflow
13 The Reflection Agentic Design Pattern – Summary
The Tool Use Pattern
14 Tool Use Pattern – Overview
15 Trip Planner Workflow – Hands-on
16 Tool Use Pattern – Summary
The Planning – ReAct – Pattern
17 The Planning Pattern and ReAct Technique Overview
18 Planning Pattern – ReAct Technique – Handson
19 Planning Pattern – Summary
Multi-agent (Collaboration) Pattern
20 Multi-agent Collaboration Pattern – Overview
21 Multi-agent Pattern – Hands-on
22 Congratulations
Wrapup
23 Next Steps
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