Available Courses

Why Take This Course?

Maximize your Dataiku knowledge with expert guidance, practical resources, and a risk-free learning experience!

  • Detailed video content to guide you through the entire process, including command line prompts, error messages, and troubleshooting tips.

  • Access videos anytime and re-watch them as needed for better retention and understanding.

  • Avoid expensive Dataiku professional services and service plans by gaining the skills you need through our affordable course.

  • Enjoy peace of mind with our 30-day money-back guarantee—if you're not satisfied, we’ll refund your purchase.

About our Instructor

Our instructor is a seasoned Dataiku expert with hands-on experience deploying the platform in complex environments. Whether you’re a Dataiku administrator facing challenges in managing the platform or a user seeking to fully maximize your investment, this course offers valuable tips and tricks tailored to your needs.

View sample course content on our Youtube channel

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Thank You

Testimonials

“A must-take for admins working with Dataiku on cloud platforms. The modules on configuring automation nodes and integrating with Snowflake were particularly helpful. I appreciated the advanced tips for performance optimization and setting up secure connections. It’s rare to find such in-depth content tailored for admins!”

Platform Architect

Martin

“This course was exactly what I needed to get our on-prem Dataiku environment up and running. The detailed lessons on setting up SSL, user permissions, and server architecture were clear and easy to follow. It’s a lifesaver for anyone managing Dataiku installations, especially in complex, custom setups.”

IT Administrator

Darius

Course Content

Getting started with Dataiku

a. Jumpstart with Dataiku Cloud

Jump start your journey with Dataiku Cloud and Snowflake

Navigating the Launchpad


b. Navigating the UI as a Dataiku user 

Familiarizing yourself with Dataiku

Project Flow and Flow Panel

Collaboration best practices: Project Documentation

Collaboration best practices: Flow Zones, Tags, Discussions

Project Security and sharing permissions

Improving your Dataiku performance

Tips on building efficient Dataiku workflows



For Dataiku Admins

a. Self-Managed Dataiku: Setup & Configuration for Dataiku Admins

Dataiku custom installation on a Linux server

Upgrade Dataiku version on a Linux server

Setting up Dataiku to export documents, PDFs or images

Installing R Integration

Configuring Dataiku for SSL

Connecting to databases

Security, Connections, User Groups and Permissions

High-level architecture (On-Premise)

Configuring of Automation and API node

Advanced Snowflake connection settings -- coming soon

Configuring of GPUs -- coming soon

Connecting to external repositories -- coming soon

Monitoring of Dataiku using dkumonitor -- coming soon

High-level architecture (Cloud) -- coming soon

Deploy with Fleet Manager in AWS -- coming soon

Configuring kafka and working with streaming data -- coming soon



Ingesting, Exploring and Preparing your Data - coming soon

a. Data Ingestion

Methods to ingest data into your project


b. Data Exploration

Concept Video: Understanding Sampling

Analysis and Charts

Interactive Statistics

Deep Dive (Statistical Tests)

Deep Dive (Multivariate Analysis)

Deep Dive (Time Series Analysis)


c. Data Preparation

Using the Prepare Recipe for numerical data

Using the Prepare Recipe for dates

Using the Prepare Recipe for web log data

Other useful Prepare Recipe tips

Concept Video: Speed up your data processing by offloading compute


d. Data Transformations

Join Recipe

Aggregations

Fuzzy Joins

Concept Video: Making changes to the middle of your flow

Auto feature generation



LLMs and NLP - coming soon

a. Natural Language Processing (NLP)

Concept Video: Dataiku capabilities for NLP


b. Textual Data Preparation

Using the Prepare Recipe for textual data

Pre-processing textual data in AutoML


c. LLM Mesh

Concept Video: LLM Mesh

Setting up an LLM Connection

Prompt Recipes and Prompt Studios

Retrieval Augmented Generation (RAG)

LLM Mesh API

Running local Hugging Face models



Visual Machine Learning - coming soon

a. Introduction to Machine Learning

Concept Video: Introduction to Machine learning and AutoML 

Concept Video: Algorithm selection and hyperparameter tuning


b. AutoML Prediction (Supervised ML)

Train and Tune a Prediction Model

Interpret a Prediction Model's Results


c. Clustering (Unsupervised ML)

Train a Clustering Model

Interpret a Clustering Model's Results


d. Auto Time Series (AutoTS) Forecasting

Train a AutoTS Forecasting Model

Interpret a AutoTS Forecasting Model's Results


e. Causal Prediction

Train a Causal Prediction Model

Interpret a Causal Prediction Model's Results


f. Responsible AI

Model Bias and Fairness



Computer Vision - coming soon

a. Preparing your Data for Computer Vision

Working with Managed Folders

Labeling your images


b. Computer Vision without Code

Concept Video: Deep Learning Model Architectures

Performing Image Classification

Performing Object Detection



Dataiku for Coders - coming soon

a. Working with Code in Dataiku

Getting Started with Code Notebooks and Code Recipes

Setting up a Code Environment

Connecting to remote Git repository and importing code

Code Libraries

Variables

Concept Video: Dataiku API

Creating Custom Plugins



ML Ops - coming soon

a. Introduction to ML Ops

Concept Video: What is MLOps?

Concept Video: Understanding deployment options in Dataiku


b. Preparing for Deployment

Setting up Scenarios

Data Quality and Checks


c. Batch and Real-time API Deployment

Batch deployment of projects and models via Bundles

Concept Video: Real-time API services and endpoints

Deploying, testing and enriching an API


d. Model Monitoring and Unified Monitoring

Tracking data drift, model performance and metrics

Unified Monitoring



For any questions or requests, contact us at [email protected]