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 Canberra or in NobleProg corporate training centers in Canberra.
NobleProg -- Your Local Training Provider
London Circuit
Tower A, Canberra City West, Canberra, Austl. Cap. Terr., Australia, 2601
7 London Circuit, Canberra is in the heart of Australia's capital city. Located on the fifth floor of a premium office buildi...
7 London Circuit, Canberra is in the heart of Australia's capital city. Located on the fifth floor of a premium office building, the centre is a short distance from Australia's Parliament House and several of Canberra's landmark buildings including the Reserve Bank, Canberra Law Courts and the Rydges Canberra. Canberra's main industries include IT, service industries, government administration and defence. Canberra benefits from having one of the lowest unemployment rates in Australia with the economy continuing to grow. The centre is just a 10-minute drive from Canberra Airport and is well placed for local amenities such as shops, restaurants and hotels. The building is named after the hexagonal-shaped London Circuit road which surrounds the city centre.
This instructor-led, live training in Canberra (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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