Open Course Calendar
August 2020
-
Course
Dates
Duration
Location
Price
Model Performance Management
Aug 20
1 day
Amsterdam/Virtual
N/A
Bayesian Networks
Aug 24
1 day
Amsterdam/Virtual
€1395,-
September 2020
-
Course
Dates
Duration
Location
Price
Imbalanced Data & Anomaly Detection
Sep 1, Sep 2
2 days
Tel Aviv/Virtual
€2330,-
Essential Business Applications: Online Analytics
Sep 7
1 day
Amsterdam/Virtual
€1275,-
Essential Business applications: Customer Journey Analytics
Sep 7
1 day
Amsterdam/Virtual
€1275,-
Text Analysis
Sep 8, Sep 9
2 days
Amsterdam/Virtual
€2330,-
Becoming an Effective AI Professional
Sep 10
1 day
Amsterdam/Virtual
€1275,-
AI Foundation
Sep 28, Sep 29
2 days
Amsterdam/Virtual
€1995,-
Structured Opportunity Identification
Sep 30
1 day
Amsterdam/Virtual
€1155,-
October 2020
-
Course
Dates
Duration
Location
Price
Data Exploration and Insights Discovery
Oct 1
1 day
Amsterdam/Virtual
€1155,-
Managing AI Projects
Oct 12
1 day
Amsterdam
€1275,-
Essential Business Applications: Finance Analytics
Oct 13
1 day
Amsterdam/Virtual
€1275,-
Time Series Forecasts
Oct 14, Oct 15
2 days
Amsterdam/Virtual
€2330,-
Use Case Leadership
Oct 19
1 day
Amsterdam/Virtual
€1275,-
AI Foundation
Oct 19, Oct 20
2 days
Amsterdam/Virtual
€1995,-
Advanced Handling of Many Feature Situations
Oct 20, Oct 21
2 days
Amsterdam/Virtual
€2570,-
Ethics in Modeling
Oct 22
1 day
Amsterdam/Virtual
€1395,-
Data & Tech Fundamentals
Oct 27
1 day
Amsterdam/Virtual
€1155,-
Data Models & Manipulation
Oct 28, Oct 29
2 days
Amsterdam/Virtual
€2090,-
Data-Driven Communication
Oct 30, Nov 5
2 days
Amsterdam/Virtual
€2090,-
November 2020
-
Course
Dates
Duration
Location
Price
Data-Driven Communication
Nov 2, Nov 3
2 days
Amsterdam/Virtual
€2090,-
Structured Opportunity Identification
Nov 2
1 day
Amsterdam/Virtual
€1155,-
Explorative Analysis Techniques
Nov 3, Nov 4
2 days
Amsterdam/Virtual
€2090,-
Data Management
Nov 4
1 day
Amsterdam/Virtual
€1155,-
Programming Meta-Skills
Nov 9
1 day
Amsterdam/Virtual
€1155,-
Machine Learning Process
Nov 10, Nov 11
2 days
Amsterdam/Virtual
€2090,-
Classification Using Tree Models
Nov 12, Nov 13
2 days
Amsterdam/Virtual
€2090,-
Use Case Identification & Design
Nov 16
1 day
Amsterdam/Virtual
€1155,-
First Contact with Your Stakeholder
Nov 17, Nov 30
2 days
Amsterdam/Virtual
€2090,-
Regression Models
Nov 18, Nov 19
2 days
Amsterdam/Virtual
€2090,-
Cloud Computing
Nov 23
1 day
Amsterdam/Virtual
€1155,-
Data & Analytics Architecture
Nov 23, Nov 24
2 days
Amsterdam
€2330,-
Model Operationalization
Nov 24, Nov 25
2 days
Amsterdam/Virtual
€2090,-
Performance Management
Nov 25
1 day
Amsterdam
€1275,-
Building a First AI Application
Nov 26, Nov 27
2 days
Amsterdam/Virtual
€2090,-
December 2020
-
Course
Dates
Duration
Location
Price
Causal Inference
Dec 1, Dec 2
2 days
Amsterdam/Virtual
€2570,-
AI Foundation
Dec 14, Dec 15
2 days
Amsterdam/Virtual
€1995,-

AI quick scan

Test how your company is performing on developing and implementing AI solutions and platform capabilities:

 

1.My organisation communicates a clear end-state vision on how AI can transform our business
2.AI initiatives are aligned with the strategic goals of my organisation
3.My organisation has a roadmap that focuses data analytics efforts on large scale business opportunities
4.My organisation succesfully builds high potential proof of concepts with AI
5.AI use cases are developed end-to-end from data to algorithm to an application, such that users can interact with the algorithm
6.AI use cases are automated and operationalized in a production environment
7.AI use cases are fully adopted by the business, without unintended retreat to own judgement
8.AI use cases change the business process fundamentally if adopted
9.AI use case MVP's are continuously being improved, leaving MVP state
10.My organisation succesfully scales impact of AI use cases
11.There is an infrastructure in place for users to approach (a selection of) data
12.There is a possibility to develop models, for example in sandbox like environments
13.Algorithms are operationalized and automatically predict on new data
14.Your organisation has deployed one ore more experiments with modern, for example cloud-based, infrastructure
15.AI platform standards are set and managed
16.Clarity exists on target infrastructure for new solutions
17.Existence of legacy is accepted as a given, but migrations and dependencies are managed with a impact driven mindset
18.AI solutions are in production on scalable modern infrastructure
19.There are standardized operational processes to develop, deploy and maintain models (model management) in modern infrastructure.
20.Users enjoy flexibility to access any data and use it to build solutions with diverse requirements, while still maintaining certain standards managed centrally