Where do we meet?

The course is usually given at The Regatta Center Muiderzand,which is located on the grounds of the Marina Muiderzand on IJmeerdijk 4 in Almere.

Access to the site and location:

The building of the Regatta Center Muiderzand is located on the grounds of the Marina Muiderzand, all the way at the end of the parking lot. If you will be arriving by car, and you haven’t done so already when you registered, kindly let us know your license plate number and the gate/slagboom located near the Harbour office will register your arrival and open automatically.

In case your license plate is not registered, please report to the harbour office upon arrival and someone will open the gate/slagboom for you. Outside the harbours’ opening hours (09:00-17:00 hours) please drive your car to the induction loop in the asphalt directly in front of the gate/slagboom and call +31 (0) 653 373 760. The gate/slagboom will be opened for you remotely.

During the event, all participants who have come by car will receive an exit coin from us with which they can leave the site again.

What should I bring?

  • Please bring your laptop. It’s also important to take along warm (sailing) clothing. We will arrange the life vests.
  • Coffee & tea as well as lunch will be provided. Should you have any allergy requirements, please let us know asap.

What’s included in the price?

  • 2-day course*
  • Lunch, snacks & drinks
  • Practical and fun examples for applying AI on a sailing boat
  • Pre-course reading materials/links
  • Post-course reading materials/links (including access to all presentations provided during the course)
  • 3 hours of support after the course
  • Opportunity to be part of a large network of AI-Alumni

*The course will be provided in English.

What can I expect?

Maybe you’ve already spotted our quick-reference program on another page. Below is a detailed program, which could be subject to (slight) change. Sometimes there are 2 groups and sometimes 1, this depends on the amount of participants. The teachers will let you know in which group you are during the first day.

Day 1

8:30 Welcome

9:00 Introduction – Definitions of Machine Learning, AI, Data Science and Big Data

9:30 Introduction to Machine Learning – Supervised, Unsupervised, Semi-supervised and reinforcement learning

General machine learning concepts

10:30 Introduction to Deep Learning – Why is deep learning hot?

Building blocks of deep learning

Small workshop: Play around with online deep-learning demo

11:30 Handling data – Data preparation with Numpy and Jupyter notebooks

Splitting training, validation and test sets

Feature engineering

12:30 Lunch

13:30 SkLearn

14:00 A self-steering sailboat – Introduction to the challenge

Possible strategies

14:30 Workshop: Coding your solution – You will get to work with the data you collected yesterday and code a solution in Python.

17:00 End of day 1

Day 2

9:00 Introduction to Keras – Introduction to Keras

Small workshop: Play around with Keras

10:00 Group A: Workshop: Coding your solution – You will get to work with the data you collected yesterday and code a solution in Python.

Group B: Testing your solution on the water – Let’s put your code to the test in the real world. We will hit the water and test how good your solution works*

12:30 Lunch

13:00 Group A: Testing your solution on the water – Let’s put your code to the test in the real world. We will hit the water and test how good your solution works*

Group B: Workshop: Coding your solution – You will get to work with the data you collected yesterday and code a solution in Python.

15:30 Wrap up and Business Cases Review of all solutions made

Tips for applying your knowledge in the real world

Round table discussion: everybody tries to identify a ML case for their company

Thanks and goodbye

17:00 End of day 2

*It could happen that weather conditions make it unsafe for us to go out on the water. In this case the teachers will let you know why and come up with an alternative solution for this part of the program.

How do I prepare?

This repo contains instructions in the README.md for setting up the AI-Captain Conda environment.

Have I missed anything?

If you haven’t already, check out what former participants have said about the course:

PS If you missed a day, you can follow a free course here: https://www.edx.org/course/introduction-to-python-absolute-beginner

Not done with AI yet? Of course not!

Check out these links for further reading:

And refresh your memory by taking another look at the presentation slides which were shown during the course.

Stick with us!

We are looking into building AI-lumni, an online community for AI-Captain participants.

After the course you can add AI-Captain under accomplishments as a course on your LinkedIn profile and if you would give us a LIKE while you are at it we would greatly appreciate it. Please share our messages across the platform! Our biggest advertisement is what you tell others about us and we believe in word-of-mouth marketing; so spread the word!

We look forward to welcoming you!

Happy & smooth sailing,

The AI-Captain team

Welcome Aboard!

Thank you for signing up to the AI-Captain Machine Learning Course. ADD INTRO…

Below you will find some practical information which is handy before you start 2 exciting days of AI-fun!

We look forward to welcoming you between 8:30 and 9:00 on both days.

Where do we meet?

The course is usually given at The Regatta Center Muiderzand,which is located on the grounds of the Marina Muiderzand on IJmeerdijk 4 in Almere.

Access to the site and location:

The building of the Regatta Center Muiderzand is located on the grounds of the Marina Muiderzand, all the way at the end of the parking lot. If you will be arriving by car, and you haven’t done so already when you registered, kindly let us know your license plate number and the gate/slagboom located near the Harbour office will register your arrival and open automatically.

In case your license plate is not registered, please report to the harbour office upon arrival and someone will open the gate/slagboom for you. Outside the harbours’ opening hours (09:00-17:00 hours) please drive your car to the induction loop in the asphalt directly in front of the gate/slagboom and call +31 (0) 653 373 760. The gate/slagboom will be opened for you remotely.

During the event, all participants who have come by car will receive an exit coin from us with which they can leave the site again.

What should I bring?

  • Please bring your laptop. It’s also important to take along warm (sailing) clothing. We will arrange the life vests.
  • Coffee & tea as well as lunch will be provided. Should you have any allergy requirements, please let us know asap.

What’s included in the price?

  • 2-day course*
  • Lunch, snacks & drinks
  • Practical and fun examples for applying AI on a sailing boat
  • Pre-course reading materials/links
  • Post-course reading materials/links (including access to all presentations provided during the course)
  • 3 hours of support after the course
  • Opportunity to be part of a large network of AI-Alumni

*The course will be provided in English.

What can I expect?

Maybe you’ve already spotted our quick-reference program on another page. Below is a detailed program, which could be subject to (slight) change. Sometimes there are 2 groups and sometimes 1, this depends on the amount of participants. The teachers will let you know in which group you are during the first day.

Day 1

8:30 Welcome

9:00 Introduction – Definitions of Machine Learning, AI, Data Science and Big Data

9:30 Introduction to Machine Learning – Supervised, Unsupervised, Semi-supervised and reinforcement learning

General machine learning concepts

10:30 Introduction to Deep Learning – Why is deep learning hot?

Building blocks of deep learning

Small workshop: Play around with online deep-learning demo

11:30 Handling data – Data preparation with Numpy and Jupyter notebooks

Splitting training, validation and test sets

Feature engineering

12:30 Lunch

13:30 SkLearn

14:00 A self-steering sailboat – Introduction to the challenge

Possible strategies

14:30 Workshop: Coding your solution – You will get to work with the data you collected yesterday and code a solution in Python.

17:00 End of day 1

Day 2

9:00 Introduction to Keras – Introduction to Keras

Small workshop: Play around with Keras

10:00 Group A: Workshop: Coding your solution – You will get to work with the data you collected yesterday and code a solution in Python.

Group B: Testing your solution on the water – Let’s put your code to the test in the real world. We will hit the water and test how good your solution works*

12:30 Lunch

13:00 Group A: Testing your solution on the water – Let’s put your code to the test in the real world. We will hit the water and test how good your solution works*

Group B: Workshop: Coding your solution – You will get to work with the data you collected yesterday and code a solution in Python.

15:30 Wrap up and Business Cases Review of all solutions made

Tips for applying your knowledge in the real world

Round table discussion: everybody tries to identify a ML case for their company

Thanks and goodbye

17:00 End of day 2

*It could happen that weather conditions make it unsafe for us to go out on the water. In this case the teachers will let you know why and come up with an alternative solution for this part of the program.

How do I prepare?

This repo contains instructions in the README.md for setting up the AI-Captain Conda environment.

Have I missed anything?

If you haven’t already, check out what former participants have said about the course:

PS If you missed a day, you can follow a free course here: https://www.edx.org/course/introduction-to-python-absolute-beginner

Not done with AI yet? Of course not!

Check out these links for further reading:

And refresh your memory by taking another look at the presentation slides which were shown during the course.

Stick with us!

We are looking into building AI-lumni, an online community for AI-Captain participants.

After the course you can add AI-Captain under accomplishments as a course on your LinkedIn profile and if you would give us a LIKE while you are at it we would greatly appreciate it. Please share our messages across the platform! Our biggest advertisement is what you tell others about us and we believe in word-of-mouth marketing; so spread the word!

We look forward to welcoming you!

Happy & smooth sailing,

The AI-Captain team

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