Crash Course in Dataiku 12

Curriculum90 min

• 12.6
• Featurette | Data quality
• Concept | Data quality rules
• Tutorial | Data quality rules
• Concept | Generate statistics recipe
• 12.5
• Featurette | Unified monitoring
• Concept | AI Prepare
• Featurette | AI code assistants
• Featurette | AI Explain
• Concept | Explain the Flow with generative AI
• Concept | Dataset conditional formatting
• 12.4
• Featurette | Deploy anywhere
• Tutorial | Dashboard cross filters
• How-to | Insert a recipe in the Flow
• How-to | Subscribe to Dataiku Govern email notifications
• 12.3
• Featurette | LLM Mesh
• Featurette | Prompt studios and Prompt recipe
• Concept | Prompt Studios and Prompt recipe
• Tutorial | Prompt engineering with LLMs
• Featurette | Natural language processing recipes
• Concept | Classify text recipe
• Tutorial | Classify text with generative AI
• Concept | Summarize text recipe
• Tutorial | Summarize text with generative AI
• Featurette | Retrieval Augmented Generation (RAG)
• Concept | Retrieval Augmented Generation (RAG) approach and the Embed recipe
• Tutorial | Use the Retrieval Augmented Generation (RAG) approach for question-answering
• 12.2
• Featurette | External models
• Tutorial | External models
• Tutorial | Custom aggregation for charts
• How-to | Export Govern items
• 12.1
• How-to | Work with editable datasets
• 12.0
• Featurette | Model overrides
• Tutorial | Model overrides
• Featurette | Universal feature importance
• Featurette | Uplift modeling
• Concept | Causal prediction
• Tutorial | Causal prediction (Uplift modeling)
• Featurette | Auto feature generation
• Concept | Generate Features recipe
• Tutorial | Generate Features recipe
• Featurette | Data catalog
• Concept | Data catalog
• Featurette | Help center
• Wrap Up: Crash Course in Dataiku 12
• Tell Us What You Think: Crash Course in Dataiku 12
• Course Complete | Crash Course in Dataiku 12