Online or onsite, instructor-led live AI Engineering training courses demonstrate through interactive hands-on practice how to apply artificial intelligence techniques to solve complex problems in various domains.
AI Engineering training is available as "online live training" or "onsite live training". Online live training (aka "remote live training") is carried out by way of an interactive, remote desktop. Onsite live AI Engineering training can be carried out locally on customer premises in Bradford or in NobleProg corporate training centers in Bradford.
NobleProg -- Your Local Training Provider
Bradford
Carlisle Business Centre, 60 Carlisle Road, Bradford, united kingdom, BD8 8BD
Carlisle Business Centre is a not for private profit organisation, driven by a dedicated workforce, that's supported by a vol...
Carlisle Business Centre is a not for private profit organisation, driven by a dedicated workforce, that's supported by a voluntary board of directors. We operate as a social enterprise that donates its generated profit to the Action For Community Ltd charity, enabling us to proudly support the local community.
Situated in a former textile mill, sporting a distinctive clock tower, Carlisle Business Centre is a landmark of Manningham. The building was extended and revived in 1991 to provide a runway for budding entrepreneurs to get off the ground.
Get Directions
You can access our main car park from Carlisle Road coming into Conduit Street (BD8 7PD) and then taking a right onto Church Street. Please report to our Customer Services Desk on arrival.
This instructor-led, live training in Bradford (online or onsite) is aimed at beginner-level to intermediate-level AI engineers and software developers who wish to gain a foundational understanding of AI engineering principles and practices.By the end of this training, participants will be able to:
Understand the core concepts and technologies behind AI and machine learning.
Implement basic machine learning models using TensorFlow and PyTorch.
Apply AI techniques to solve practical problems in software development.
Manage and maintain AI projects using best practices in AI engineering.
Recognize the ethical implications and responsibilities involved in developing AI systems.
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