Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
https://github.com/the-swarm-corporation/multi-agent-marketing-course
Learn how to automate your marketing operations with enterprise-grade multi-agent collaboration.
https://github.com/the-swarm-corporation/multi-agent-marketing-course
ai discord instagram marketing marketing-automation ml social-media-growth twitter
Last synced: about 1 month ago
JSON representation
Learn how to automate your marketing operations with enterprise-grade multi-agent collaboration.
- Host: GitHub
- URL: https://github.com/the-swarm-corporation/multi-agent-marketing-course
- Owner: The-Swarm-Corporation
- License: mit
- Created: 2024-10-27T20:00:47.000Z (about 2 months ago)
- Default Branch: main
- Last Pushed: 2024-11-11T03:47:32.000Z (about 1 month ago)
- Last Synced: 2024-11-13T00:06:20.395Z (about 1 month ago)
- Topics: ai, discord, instagram, marketing, marketing-automation, ml, social-media-growth, twitter
- Language: Jupyter Notebook
- Homepage: https://discord.com/servers/agora-999382051935506503
- Size: 2.2 MB
- Stars: 2
- Watchers: 1
- Forks: 0
- Open Issues: 4
-
Metadata Files:
- Readme: README.md
- Funding: .github/FUNDING.yml
- License: LICENSE
Awesome Lists containing this project
README
# The Definitive Multi-Agent Marketing Course
[![Join our Discord](https://img.shields.io/badge/Discord-Join%20our%20server-5865F2?style=for-the-badge&logo=discord&logoColor=white)](https://discord.gg/agora-999382051935506503) [![Subscribe on YouTube](https://img.shields.io/badge/YouTube-Subscribe-red?style=for-the-badge&logo=youtube&logoColor=white)](https://www.youtube.com/@kyegomez3242) [![Connect on LinkedIn](https://img.shields.io/badge/LinkedIn-Connect-blue?style=for-the-badge&logo=linkedin&logoColor=white)](https://www.linkedin.com/in/kye-g-38759a207/) [![Follow on X.com](https://img.shields.io/badge/X.com-Follow-1DA1F2?style=for-the-badge&logo=x&logoColor=white)](https://x.com/kyegomezb)
This course teaches you how to leverage the Swarms framework to build sophisticated multi-agent systems for marketing automation, analysis, and optimization. Learn how to orchestrate multiple AI agents to handle complex marketing workflows across different channels and platforms.
### 📚 Course Overview
This hands-on course will teach you how to:
- Build and deploy marketing-focused autonomous agents
- Orchestrate multi-agent systems for marketing automation
- Analyze marketing data using agent swarms
- Optimize marketing campaigns using collaborative AI
- Create scalable marketing workflows### 🎯 Learning Objectives
By the end of this course, you will be able to:
- Understand multi-agent architectures for marketing applications
- Build custom marketing agents using the Swarms framework
- Deploy agent swarms for social media management
- Create automated content generation pipelines
- Implement marketing analytics workflows
- Develop autonomous campaign optimization systems### 📋 Course Outline
#### Module 1: Foundations [CLICK HERE](/modules/module_1_foundations.ipynb)
1. Introduction to Multi-Agent Systems
- Understanding agent collaboration
- Key concepts in swarm intelligence
- Marketing applications of multi-agent systems2. Setting Up Your Environment
- Installing Swarms
- Configuring API keys
- Basic agent creation#### Module 2: Building Marketing Agents [CLICK HERE](/modules/module_2_specialized_agents.ipynb)
1. Social Media Agents
- Creating platform-specific agents
- Implementing posting strategies
- Engagement analysis2. Content Generation Agents
- Copy generation workflows
- Multi-modal content creation
- Content optimization agents3. Analytics Agents
- Data collection agents
- Metrics analysis
- Reporting automation#### Module 3: Multi-Agent Architectures
1. Sequential Workflows
- Content creation pipelines
- Approval workflows
- Distribution chains2. Concurrent Processing
- Parallel content generation
- Multi-channel posting
- Distributed analytics3. Agent Rearrange Patterns
- Dynamic workflow optimization
- Adaptive campaign management
- A/B testing automation#### Module 4: Advanced Applications
1. Campaign Optimization
- Performance monitoring agents
- Budget allocation systems
- Automated A/B testing2. Customer Intelligence
- Sentiment analysis swarms
- Competitive monitoring
- Trend detection3. Automated Reporting
- Data aggregation workflows
- Visualization agents
- Report generation systems### 💻 Practical Projects
1. **Social Media Management System**
- Build a multi-agent system for managing multiple social media accounts
- Implement content scheduling and optimization
- Create engagement monitoring and response systems2. **Content Generation Pipeline**
- Develop automated content creation workflows
- Implement multi-stage review processes
- Create distribution automation3. **Marketing Analytics Dashboard**
- Build data collection and analysis agents
- Create automated reporting systems
- Implement performance optimization agents### 🛠️ Technical Requirements
- Python 3.10 or higher
- Swarms library (`pip install -U swarms`)
- OpenAI API key
- Anthropic API key (optional)
- Social media API access tokens### 📦 Getting Started
1. Clone the course repository:
```bash
git clone https://github.com/yourusername/marketing-swarms-course
cd marketing-swarms-course
```2. Install requirements:
```bash
pip install -r requirements.txt
```3. Set up your environment variables:
```bash
export OPENAI_API_KEY="your-api-key"
export ANTHROPIC_API_KEY="your-api-key"
```### 🎓 Prerequisites
- Basic Python programming knowledge
- Understanding of marketing concepts
- Familiarity with APIs and web services### 📚 Resources
- [Swarms Documentation](https://docs.swarms.world)
- [Marketing Agents Examples](https://github.com/The-Swarm-Corporation/swarms-examples)
- [Community Discord](https://discord.gg/kS3rwKs3ZC)### 👥 Community Support
- Join our [Discord community](https://discord.gg/kS3rwKs3ZC) for real-time support
- Participate in weekly office hours
- Share your projects and get feedback from peers### 📝 Assessment
- Weekly coding assignments
- Two mini-projects
- Final capstone project
- Peer reviews and feedback### 🏆 Certification
Upon completion of all course requirements, you will receive:
- A certificate of completion
- Portfolio-ready projects
- Access to the alumni network### 📅 Course Schedule
- Duration: 8 weeks
- Weekly live sessions: 2 hours
- Office hours: 1 hour per week
- Estimated study time: 10-15 hours per week### 🤝 Contributing
We welcome contributions to improve the course materials. Please see our [contributing guidelines](CONTRIBUTING.md) for more information.
### 📄 License
This course is licensed under the GNU Affero General Public License v3.0.