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Course PreviewThrough our artificial intelligence courses in Singapore, you will be able to gain full proficiency in statistics, deep learning, machine learning, PySpark, MLOps, supervised learning, etc. under the guidance of our experts.
In this artificial intelligence course in Singapore, you will learn about the following:
The following professionals can join this artificial intelligence course in Singapore:
Anyone can take this artificial intelligence training in Singapore, regardless of their prior skills.
Singapore is the top destination for some of the hottest startups and Fortune 500 companies in South Asia. Its business enterprises are heavily invested in artificial intelligence, making it a hotbed for the best AI job opportunities in this region of the world.
The artificial intelligence market trend in Singapore is rising rapidly thanks to the business-friendly nature of this city-state. The future can only get better with AI being deployed in each and every industry domain, making it a rising market for AI in Singapore.
Today, artificial intelligence has conquered almost every industry. Within a year or two, nearly 80% of emerging technologies will be based on AI and machine learning, especially deep learning, which is the most important aspect of artificial intelligence. This is used by AI-powered recommender systems (chatbots) and search engines for online movie recommendations. Therefore, to remain relevant and gain expertise in this emerging technology, enroll in Intellipaat’s AI Course in Singapore.
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Data Science
Python
Data Analysis
Git
AI
MLOps
SQL
Data Wrangling
Prediction Algorithms
Statistics and Probability
Machine Learning
Deep Learning
Natural Language Processing (NLP)
Generative AI
PySpark
Data Visualization
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The artificial intelligence capstone project will assess your approach to solving complex business problems using deep neural networks.
Artificial Intelligence (AI) Projects
The entire content of this Artificial Intelligence (AI) course in Singapore is developed by leading AI professionals to help you find the best artificial intelligence engineering job at top MNCs. During this artificial intelligence course in Singapore, you will work on real-world projects that will help evaluate your skills and learning in real-time business scenarios, thus helping you accelerate your career effortlessly.
Upon the completion of this artificial intelligence online course in Singapore, there will be quizzes that reflect the type of questions asked in the certification examination and will help you score better.
Intellipaat’s AI course completion certificate will be awarded on the completion of the project work (after expert review) and scoring at least 60% marks on the quiz. This artificial intelligence course certification is well-recognized by the top 80+ MNCs, such as Ericsson, Cisco, Cognizant, Sony, Mu Sigma, Saint-Gobain, Standard Chartered, TCS, Genpact, Hexaware, etc.
Land Your Dream Job Like Our Alumni
Our artificial intelligence training in Singapore involves the simultaneous participation of both learners and instructors in an online environment. Being a learner, you can log in to our applied AI course sessions from anywhere and attend the class without having to be physically present. Also, we record the proceedings of all AI classes and equip you with them to further enhance your learning process. Upon the completion of this AI training online, your experience will be equivalent to that of a professional who has worked for 6 months in the industry.
Simply put, artificial intelligence is the intelligence that is demonstrated by machines to perform tasks that are otherwise done by humans. This is achieved through machine learning and deep learning.
Yes! Before the exam, Intellipaat provides practice tests for the students to familiarize themselves with the exam format and get an idea of the kinds of questions that may be asked.
We have both instructor-led training and self-paced training. It depends on your preference.
In addition to the AI course in Singapore, we provide comprehensive programs in areas such as machine learning, R programming, Data Analytics, and other project-based training.