Looking for Global training? Go to https://firebrand.training/en or stay on the current site (United Arab Emirates)
This accelerated IBM AI Engineering Professional Certification course, is designed to equip you with the tools you need to succeed in your career as an AI or ML engineer.
You’ll master fundamental concepts of machine learning and deep learning, including supervised and unsupervised learning, using programming languages like Python. You’ll apply popular machine learning and deep learning libraries such as SciPy, ScikitLearn, Keras, PyTorch, and Tensorflow to industry problems involving object recognition, computer vision, image and video processing, text analytics, natural language processing (NLP), recommender systems, and other types of classifiers.
Through hands-on projects, you’ll gain essential data science skills scaling machine learning algorithms on big data using Apache Spark. You’ll build, train, and deploy different types of deep architectures, including convolutional neural networks, recurrent networks, and autoencoders.
This badge earner has demonstrated proficiency in Machine Learning (ML) and Deep Learning (DL). The earner understands various ML techniques such as regression, classification, clustering & recommender systems and is able to scale ML on Big Data using Apache Spark. The earner is able to build, test & deploy DL models using libraries such as Keras, PyTorch & Tensorflow. The earner has completed several ML & DL projects and is now armed with skills for starting a career in AI Engineering.
In just 6 days, you’ll learn to describe machine learning, deep learning, neural networks, and ML algorithms like classification, regression, clustering, and dimensional reduction. You’ll also learn how to:
At the end of this course, you’ll achieve your IBM AI Engineering Professional Certification certification.
Through Firebrand’s Lecture | Lab | Review methodology, you’ll get certified at twice the speed of the traditional training and get access to courseware, learn from certified instructors, and train in a distraction-free environment.
This course is ideal for:
At the end of this accelerated course, you’ll achieve your IBM AI Engineering Professional Certification Certification.
Your accelerated course includes:
Before attending this accelerated course, you should have:
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))
"Had a great time meeting and networking with other people. A great teacher."
Pritpal Hundel, Computacenter. (8/1/2024 (Monday) to 11/1/2024 (Thursday))
"Our instructor was very knowledgeable and delivered the online course well. The labs are great for getting hands-on experience."
Anonymous. (8/1/2024 (Monday) to 11/1/2024 (Thursday))
"Great 4 days of in-person training. The trainer was knowledgeable and brought a wealth of real world examples to what would have been otherwise a very theoretical training course."
Ian Smith, DWP. (8/1/2024 (Monday) to 11/1/2024 (Thursday))
"I attended the CND course which was online-led. This course was delivered very well allowing me to develop my knowledge in the related topics. Despite being online, I felt involved and felt as if I could ask any questions at any time."
Molly Macuras, Electricity North West Limited. (8/1/2024 (Monday) to 11/1/2024 (Thursday))
Start |
Finish |
Status |
Location |
Book now |
---|---|---|---|---|
19/2/2024 (Monday) |
24/2/2024 (Saturday) |
Finished - Leave feedback |
- |
|
24/6/2024 (Monday) |
29/6/2024 (Saturday) |
Wait list |
Nationwide |
|
5/8/2024 (Monday) |
10/8/2024 (Saturday) |
Limited availability |
Nationwide |
|
16/9/2024 (Monday) |
21/9/2024 (Saturday) |
Open |
Nationwide |
|
28/10/2024 (Monday) |
2/11/2024 (Saturday) |
Open |
Nationwide |
|
9/12/2024 (Monday) |
14/12/2024 (Saturday) |
Open |
Nationwide |
|