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. Liverpool onsite live AI Engineering trainings can be carried out locally on customer premises or in NobleProg corporate training centers.
NobleProg -- Your Local Training Provider
Liverpool
Horton House, Liverpool, united kingdom, L2 3PF
This business centre is situated in Exchange Flags, a beautifully restored landmark property at the heart of Liverpool's r...
This business centre is situated in Exchange Flags, a beautifully restored landmark property at the heart of Liverpool's rejuvenated business district. This is Liverpool's best office address. The elegance of the original architecture has been matched by a sympathetic yet stylish refurbishment, which has set a benchmark for Grade A office accommodation across the city. Two office buildings flank an impressive bustling open square, which is enclosed by Liverpool Town Hall. Occupiers so far include legal, accountancy, consulting and property firms and The Ministry of Defence. The World Heritage waterfront, a 10,000-seater arena and a conference centre are on the doorstep as well as the Liverpool One shopping and leisure complex. Not since its days as the foremost port in the world has Liverpool witnessed development activity at current levels. This is a city that means business and is attracting investment and visitors from across the world.
This instructor-led, live training in Liverpool (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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