Predict the future intent of customers with the help of machine learning and predictive analytics, and determine the best action, channel, message, and time to communicate with your customers.
## Who is this for?
Anyone who wants to know how to use our advanced Artificial Intelligence and Machine learning tools
Overall topics to go through: 6 Overall estimated time: ∼60 minutes
### 1-3 _AI Basics_
Reading time: 20 minutes
Read about Predictions, the advanced AI-based analytical tool, and learn how to create them with our pre-defined templates.
| Column Title | Column Title | Column Title |
| 1. | [Predictions](🔗) | Find out **what Predictions are** and learn key terms when working with them. |
| 2. | [Predictions in Bloomreach Engagement](🔗) | See what benefits can Predictions bring to your business, get to know **the prediction models** and how to read them. |
| 3. | [Predictions templates](🔗) | Learn how to **create and set up different types** of Predictions. |
### 4-6 _AI Advanced_
Reading time: 30 minutes
Learn how to optimize Predictions and read about AI-based Recommendations, the more personalized versions of Recommendations.
| Column Title | Column Title | Column Title |
| 4. | [Evaluation and Testing of Predictions](🔗) | **Evaluate** Predictions and get key data about their performance. |
| 5. | [Custom predictions](🔗) | Learn how to **set up custom predictions**. |
| 6. | • [AI-based Recommendations](🔗) • [Types of Recommendations](🔗) • [Recommendation Templates](🔗) | Read about the **differences between Rule-based and AI-based Recommendations** and introduce yourself to the different use cases you are able to create with them. |
| 7. | [Setting Up Recommendation Templates](🔗) | Read about relevant **AI-based** Recommendation **models**. |
| 8. | [Limitations of Recommendations](🔗) | Read about the **limitations** of AI-based recommendation models. |
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## Your onboarding is now complete!
You can further leverage your knowledge by continuing with a different learning path to master another area of the tool.
### _Further learning resources_
| Column Title | Column Title |
| [Recommendations](🔗) | Read more about the recommendations and their optimization and testing. |
| [Analytics: Path](🔗) | Enrich your Predictions knowledge with knowledge about all Analytical tools available in Engagement. |
Find all articles on **AI-based tools** in the [Analyses](🔗) and [Campaigns](🔗) sections of the [documentation](🔗).