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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:
We interview all applicants for the course on their technical background, degrees and certifications held, and general suitability. If you get through this screening process, it means you stand a great chance of passing.
Firebrand Training is an immersive training environment. You must be committed to the course. The above prerequisites are guidelines, but many students with less experience have other background or traits that have enabled their success in accelerated training through Firebrand Training.
If you have any doubts as to whether you meet the pre-requisites please call 09 - 31 587 431 and speak to one of our enrolment consultants, who can help you with a training plan.
We've currently trained 134.561 students in 12 years. We asked them all to review our Accelerated Learning. Currently,
95,27% have said Firebrand exceeded their expectations:
"Effective way to gain certification. Would highly recommend to colleagues. Great location. Comfortable environment. Good food."
Nigel Hodges, Pyrus Consulting. (21/5/2024 (Tuesday) to 24/5/2024 (Friday))
"Effective way to gain certification. Would highly recommend to colleagues. Great location. Comfortable environment. Good food."
Nigel Hodges, Pyrus Consulting. (21/5/2024 (Tuesday) to 24/5/2024 (Friday))
"Very good Resources within the E-Book, Mixed with the Lessons, it is also has good Labs to get hands on Practice and put the theory somewhere practical to get full learning experience, with very high standard explanation throughout the lectures. 10/10!"
Rhys Thomas, Nokia. (7/5/2024 (Tuesday) to 10/5/2024 (Friday))
"All the staff are very attentive. A fantastic instructor that was able to answer all questions whilst keeping the sessions informative."
Ash Petch, Cepac. (7/5/2024 (Tuesday) to 10/5/2024 (Friday))
"My experience at Firebrand was brilliant. The people here are nice and approachable among the other apprentices of whom also are very nice and made great friends here too! I am looking forward to my next 2 trips here!"
Lewis Vick, Computacenter. (7/5/2024 (Tuesday) to 10/5/2024 (Friday))
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