Did you know that automating LinkedIn posts can streamline your content strategy and save valuable time? This Guided Project is designed to help social media managers and marketers effectively use Make.com for automating LinkedIn content. In this 2-hour course, you'll learn to set up accounts, integrate APIs, create automation triggers, and generate platform-specific content and images.



Make.com for Beginners: LinkedIn Post Automation With GPT-4

Instructor: Rudi Hinds
Access provided by Benefix
Recommended experience
What you'll learn
- Design and implement automation workflows in Make.com, using triggers and modules to fetch, process, and summarize LinkedIn content. 
- Develop and configure platform-specific content creation tools using custom GPT agents. 
Skills you'll practice
Details to know

Add to your LinkedIn profile
Only available on desktop
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Learn, practice, and apply job-ready skills in less than 2 hours
- Receive training from industry experts
- Gain hands-on experience solving real-world job tasks
- Build confidence using the latest tools and technologies

About this Guided Project
Learn step-by-step
In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:
- Set Up Accounts and Obtain Necessary Credits 
- Create Automation Trigger and Fetch Article 
- Practise Task 
- Implement Router and Create Custom GPT Agent 
- Integrate DALL-E 3 for Image Generation 
- Connect to LinkedIn and Automate Our Post 
- Cumulative Assessment 
Recommended experience
OpenAI, and Perplexity AI. Minimal credits will need to be loaded into API accounts for OpenAI ($5) and Perplexity API ($3)
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Instructor

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How you'll learn
- Skill-based, hands-on learning - Practice new skills by completing job-related tasks. 
- Expert guidance - Follow along with pre-recorded videos from experts using a unique side-by-side interface. 
- No downloads or installation required - Access the tools and resources you need in a pre-configured cloud workspace. 
- Available only on desktop - This Guided Project is designed for laptops or desktop computers with a reliable Internet connection, not mobile devices. 
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