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On this accelerated Tensorflow Developer Certificate course, you’ll learn the fundamentals of deep learning and be able to create deep learning models using Tensorflow and Keras.
In just 6 days, you’ll be able to demonstrate key Machine Learning (ML) skills in an increasingly Artificial Intelligence (AI)-driven global job market and you’ll learn key skills like:
At the end of the course, you’ll take the Tensorflow Developer Certificate Exam and get your Tensorflow Developer Certification.
Firebrand’s Lecture | Lab | Review methodology means you’ll train at twice the speed of traditional training methods, learn from certified instructors, get courseware, and pass your exam covered by a Certification Guarantee.
This course is ideal if you have any of the following roles and want to demonstrate machine learning skills using TensorFlow:
At the end of this accelerated course you’ll sit the following exam at the Firebrand Training centre covered by your Certification Guarantee:
Your accelerated course includes:
Before attending this course, you should have Python programming skills, and a mathematical background in linear algebra, probability, statistics and calculus would be helpful.
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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