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. Boston onsite live AI Engineering trainings can be carried out locally on customer premises or in NobleProg corporate training centers.
NobleProg -- Your Local Training Provider
MA, Boston - Federal Street
101 Federal Street Suite 1900, Boston, united states, 02110
The office in Boston's Federal Street is a recently renovated office complex set in the heart of the financial distric...
The office in Boston's Federal Street is a recently renovated office complex set in the heart of the financial district, just one block from Congress Street. Based on the 16th and 19th floors, the office offers spectacular views of the city. Finance and tourism are some of the prime businesses in the state capital, which is the largest city in New England. With its many colleges and universities, Boston is also regarded an international center of higher education, with students contributing more than $4billion to the economy annually. It has a strong reputation for medicine, biotechnology and research. It is ranked in the top 20 of global financial centers and number one for innovation. Boston also has an historic seaport which supports tourism, industry and fishing.
This instructor-led, live training in Boston (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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