How to Automate Personalized Learning Plans with Make.com (AI Curriculum Generator)
Creating customized learning paths manually consumes hours of research time - reviewing materials, matching difficulty levels, and organizing content by week. This Make.com automation combines Google Gemini with search APIs to generate complete, personalized curricula in minutes. Output includes structured weekly plans with relevant videos and articles automatically saved to Google Sheets.
The Learning Automation Problem
Creating effective learning paths requires balancing multiple variables: the learner's current skill level, available study time, preferred learning formats, and constantly evolving content sources. Most educators and trainers spend 3-5 hours per topic manually researching and organizing materials - time that could be spent on actual teaching or content creation.
The breakthrough came when we realized AI could handle the initial research and structuring, while automation could handle the repetitive tasks of finding, evaluating, and organizing materials. This Make.com workflow reduces curriculum development time by 90% while improving consistency.
Key insight: The most time-consuming part isn't finding materials - it's structuring them into a logical progression that matches the learner's pace and goals. AI excels at this sequencing when given clear parameters.
Workflow Architecture
This automation follows a clear sequence: collect learner inputs → generate structured curriculum → find matching materials → organize outputs. The Make.com scenario connects these components seamlessly:
- Tally Forms: Captures learner preferences (topic, level, hours/week, format)
- Google Gemini: Generates weekly learning objectives and search queries
- Search APIs: Finds relevant videos and articles for each objective
- Google Sheets: Organizes materials with timestamps and direct links
At the 8:15 mark in the video, you'll see how these modules connect in Make.com's visual workflow builder. The key is configuring each module to pass clean data to the next while handling errors gracefully.
Setting Up Tally Forms
The form serves as the workflow trigger and data collection point. We use Tally for its seamless Make.com integration, but any form tool with webhook support works. Essential fields include:
- Learning Topic: Free text field (e.g., "AI Automation")
- Current Level: Dropdown (Beginner/Intermediate/Advanced)
- Weekly Commitment: Number input (hours per week)
- Preferred Format: Checkboxes (Articles/Videos/Exercises)
Pro tip: Add conditional logic to show/hide fields based on previous answers. For example, only show "Programming Language" if "Coding" is selected as the topic. This keeps forms concise while gathering necessary detail.
Configuring Google Gemini
The AI does the heavy lifting of curriculum design. After setting up your Google AI Studio API key (shown at 12:30 in the video), the critical piece is crafting the system prompt:
"Create a [weeks]-week learning plan for [topic] at [level] level assuming [hours] hours per week. For each week: 1. List 3-5 key objectives 2. Generate specific search queries to find quality resources 3. Suggest practical exercises Format as JSON with weeks array containing objectives, queries, and exercises." This structured prompt ensures consistent output that the subsequent modules can parse. The video shows how to map form inputs into this prompt template and handle the JSON response.
Integrating Search APIs
With curriculum objectives and search queries from Gemini, the workflow uses search APIs to find materials. We implement two parallel paths:
Video Search
Using YouTube Data API to find tutorial videos matching each query, filtered by:
- Duration (match to available time)
- View count/ratings (quality indicator)
- Channel authority
Article Search
Using Google Custom Search JSON API to find authoritative articles and documentation:
- Prioritize .edu/.gov domains for academic topics
- Check readability scores
- Filter by publication date
The video demonstrates how to set up API keys and configure the HTTP modules to parse responses (around 18:45 timestamp).
Google Sheets Output
The final step organizes everything into a usable format. The Google Sheets module creates two tabs:
Raw Data: Timestamped log of all found materials with metadata (source, duration, etc.)
Learning Plan: Clean weekly view with direct links to materials, formatted for easy consumption
Key configuration points shown at 22:10 in the video:
- Setting up proper column headers
- Handling array data from the search APIs
- Adding conditional formatting for readability
- Implementing data validation to prevent duplicates
Testing & Optimization
Like any automation, thorough testing ensures reliability. The workflow includes these quality checks:
- Input Validation: Verify form data meets expected ranges before processing
- API Error Handling: Retry failed searches with modified queries
- Content Filtering: Exclude materials with certain keywords or low ratings
- Output Review: Sample check of generated materials against objectives
The video's testing segment (26:40) shows how to use Make.com's scenario history to identify and fix common issues like API rate limits or malformed responses.
Business Applications
While built for individual learners, this workflow scales beautifully for organizational use:
Corporate Training
Generate onboarding paths tailored to new hires' roles and experience levels automatically. One client reduced onboarding content creation time from 40 hours to 2 hours per department.
Education
Create differentiated learning plans for students based on assessment results and IEP requirements. Particularly valuable for special education and gifted programs.
The key to successful implementation is customizing the AI prompt and search filters to match your organization's content standards and learning objectives.
Watch the Full Tutorial
See the complete build process from start to finish in this 32-minute tutorial. Pay special attention to the API configuration at 18:45 and error handling implementation at 26:40.
Key Takeaways
This automation demonstrates how combining AI structuring with API-powered content discovery can transform learning development. The workflow delivers three core benefits:
In summary: 1) Saves 90% of curriculum creation time 2) Ensures consistent quality through structured AI prompts 3) Automatically updates with the latest materials through API searches. The complete Make.com scenario can be adapted for virtually any subject area or organizational need.
Frequently Asked Questions
Common questions about this topic
This workflow automatically generates personalized learning plans by combining Google Gemini AI with YouTube/Google search APIs. It takes inputs like topic, skill level, available time, and preferred learning style (videos/articles), then outputs a structured curriculum with relevant materials saved to Google Sheets.
The system handles the entire process from initial research to organized output, replacing hours of manual work with a few minutes of automated processing. This ensures learners get customized paths without the traditional development overhead.
The automation reduces curriculum creation time from 3-5 hours per topic to just minutes. Based on our tests, it generates a complete 4-week learning plan with curated materials in under 2 minutes after form submission.
For organizations creating multiple learning paths, the time savings compound dramatically. One client creating 20 monthly training plans saved 80+ hours previously spent on manual research and organization.
The workflow integrates Tally forms for input, Google Gemini for AI curriculum planning, HTTP modules for YouTube/Google search API calls, and Google Sheets for output storage. These components work together to create an end-to-end automated learning system.
Additional modules can be added for enhanced functionality, such as Notion API for alternative output destinations or Zapier connections to notify learners when their plan is ready. The modular design allows customization based on specific needs.
Absolutely. The workflow can be modified to align with corporate L&D needs by adjusting the AI prompt to include company-specific competencies, compliance requirements, or proprietary knowledge bases. We've implemented versions that reduced onboarding material creation by 80%.
Corporate adaptations typically add modules for HR system integration (like pulling employee roles from BambooHR) and compliance tracking. The core architecture remains the same while the inputs and outputs are customized.
The system achieves approximately 85% relevance on first-pass outputs. The key is crafting detailed system prompts for Gemini that specify quality criteria. The workflow can include human review steps before finalizing materials if needed for sensitive topics.
Accuracy improves significantly when the search APIs are configured with proper filters (like domain authority scores for articles or view counts for videos). We recommend starting with broad searches, then progressively narrowing based on quality indicators.
At scale, the main costs are Make.com plan fees ($29-$99/month) and Google Gemini API usage (approximately $0.50 per curriculum generated). For most businesses, total monthly costs stay under $200 even with hundreds of learning plans created.
The YouTube and Google Search APIs offer generous free tiers, making them cost-effective for most implementations. For high-volume usage, budget for API overages and consider caching frequent queries to reduce costs.
Yes, the Google Sheets output can be replaced with direct LMS integrations. We've built versions that push materials to platforms like Moodle, Canvas, and LearnDash through their APIs, automatically creating structured courses with modules and assignments.
LMS integrations typically require additional modules in Make.com to handle the specific API requirements of each platform. The benefit is seamless publishing without manual uploads, with the added ability to track completion and assessment results.
GrowwStacks specializes in building custom learning automation systems like this. We'll analyze your specific needs, design the optimal workflow architecture, implement the solution with your branding and content guidelines, and provide ongoing optimization.
Our team handles everything from API configuration to AI prompt engineering, ensuring you get a turnkey solution tailored to your use case. We also provide training so your team can maintain and modify the automation as needs evolve.
- Custom automation workflows built for your business
- Integration with your existing tools and platforms
- Free consultation to discuss your automation goals
Ready to Automate Your Learning Development?
Manual curriculum creation steals time from actual teaching and content improvement. Our Make.com experts will build you a customized learning automation system that generates personalized plans in minutes, not hours.