Artificial neural networks are the building blocks of AI. The course investigates and compares human neural network with artificial neural networks. The human brain is trained to solve problems by attempting them.
DurationArtificial neural networks are the building blocks of AI. The course investigates and compares human neural network with artificial neural networks. The human brain is trained to solve problems by attempting them. Similarly, AI makes use of deep learning and machine learning, while trying to resolve an issue logically in its own programming language.
Learn how AI is used by businesses in marketing and customer relations. For example, AI can observe a customer’s online shopping patterns and make recommendations. The company can target market their products. Customers receive specific information, and can choose the best option.
AI can be seen in industries such as horticulture and agriculture (e.g. for precision pest control), transport and logistics industry (e.g. implementing self-driven vehicles), healthcare sector (e.g. customising patient's treatment delivery). Education, leisure, environment are some other industry sectors that make use of AI.
Outline:
Learning Cloud is a step bigger than a college: it’s a culture. Our openness and enthusiasm strike a chord with people, wherever they are... students learn best when they're having fun and thats what Learning Cloud is all about.
Inspired by the culture of a famous Design and Arts College in Paris, the Learning Cloud team set out to create not only an amazing culture for staff, but to create an amazing student and learning experience as well.
With over 14 years in Vocational Education and Training and producing tens of thousands of graduates globally, Learning Cloud have created something new, up-to-date, relevant and exciting with a modern educational philosophy.
We want our students to be bold. Not lightweight. So push boundaries, get out of your comfort zone and don't be afraid to make mistakes. We’re committed to developing your skills as an individual and our amazing teachers and trainers will be there for you along every step of the way.
We recognise the importance of finding work when you graduate and with our industry practitioners as lecturers and trainers, strong industry connections and a dedicated focus on portfolio development, completing these courses will position you as a highly-qualified and sought after graduate, especially when you have well known people recommending you.
When it’s time to leave the College, you’ll be an inspired, confident and committed individual, with a valuable set of skills and contacts..
Our Values
Be an Artist - treat your work as craft. You are what you create.
Learn - Guess, test, break. Stay curious and absorb mistakes.
Invent - shape the future. Dream what no one else dares.
Break Rules - challenge authority and ignore the status quo.
Own - think like an entrepreneur. It's yours!
Focus - eliminate distractions and simplify everything.
Play Offence - focus only on what you're good at and play to win.
Think Big - obsess about the mission. Keep everything in perspective.
Push - will it into existence.
We - strong minds spark genius. Strong teams spark revolutions.
So what can you expect from the artists at Learning Cloud?
The best technology available. How? We invent it!
A cool culture! You'll love learning with us and we know that you will tell your friends.
Awesome trainers! If they are boring, we don't hire them!
Artiste - we'll make you an artist in any field.
Rockstar - you won't need to find a job or promotion, they will find you.
Learn about AI; what it is and how it can be used. Find out about its real-world applications and how they relate to you. You will explore machine learning and the logic, ethics, and impacts of AI.
Artificial intelligence (AI) is intelligence demonstrated by machines, making it possible for them to learn from experience and perform human-like tasks.
The Data Science & AI Programme can be taken in either 24 weeks part time or 12 weeks full time and is designed for career-driven professionals to transition into the big data and AI industry.
Training a neural network to generalize this mountain of data and quickly provide specific recommendations for similar individuals or situations requires massive amounts of computation, which can be accelerated dramatically by GPUs.
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