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On this accelerated IBM Machine Learning Rapid Prototyping with IBM Watson Studio course, you’ll gain knowledge on how to perform feature engineering and improve model performance via hyperparameter optimisation.
In just 2 days, you'll learn about the developing landscape of AutoAI technologies, as well as become familiar with the Watson Studio platform in order to perform your own AutoAI experiments. You also build knowledge on:
At the end of this course, you’ll sit the IBM Machine Learning Rapid Prototyping with IBM Watson Studio exam and achieve your certification. As an Official IBM Training Provider, and through Firebrand’s Lecture | Lab | Review methodology, you’ll get access to official courseware, certified instructors, and train in a distraction-free environment.
This course would be ideal for you if are interested in a career as a Data Scientist
As part of this accelerated course, you’ll sit the following exam at the Firebrand Training centre, covered Certification Guarantee:
Your accelerated course includes:
Before taking this accelerated course, you should have knowledge in:
Unsure whether you meet the prerequisites? Don’t worry. Your training consultant will discuss your background with you to understand if this course is right for you.
Here's the Firebrand Training review section. Since 2001 we've trained exactly 134,561 students and asked them all to review our Accelerated Learning. Currently, 96.41% have said Firebrand exceeded their expectations.
Read reviews from recent accelerated courses below or visit Firebrand Stories for written and video interviews from our alumni.
"I had a great time. The instructor is very knowledgeable and his training is on point. Two exams in 2 days is a lot. But he makes it doable."
Juan van Gom, Ministry of Defense Netherlands. (19/1/2024 (Friday) to 21/1/2024 (Sunday))
"It was a tough but interesting 5 days. Learnt new skills and have a better understanding of the tools that can be used by a Business Analyst. Met new people from different companies with different expertise."
Neil Wyborn. (8/1/2024 (Monday) to 12/1/2024 (Friday))
"Great residential place of study. Great tuition with a great Trainer. Great facilities to learn. Looking forward to the next residential!! Looking forward to applying knowledge gained!"
SL, Macmillan Support Cancer. (8/1/2024 (Monday) to 12/1/2024 (Friday))
"Very organised and clear. Enjoyed the teaching. Excellent standard."
MH, Orange cyber defense. (30/10/2023 (Monday) to 1/11/2023 (Wednesday))
"Detailed and thorough training in a great environment."
Anonymous, SYP. (8/1/2024 (Monday) to 12/1/2024 (Friday))
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