This course provides candidates with a full, practical understanding of the various Natural Language Processing Techniques related to various use cases….
Artificial Intelligence
AI is one of the fastest-growing and most transformational technologies of our time, with 2.3 million new jobs opening up by 2020. Build expertise in deep learning, containers and containerization engineering, and artificial intelligence and automation. We offer hands-on courses and career development programmes to support your career goals in the artificial intelligence field.
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Natural Language Processing, or NLP, has recently broken off as a branch of machine learning and artificial intelligence and is now perceived by many…
Computer Vision and Image Analysis are sophisticated Deep Learning techniques that allow implementing complex tasks related to image processing and information extracted from images…
This course propels participants to apply AI software and technologies to build solutions tackling real-world business challenges….
This course will introduce you to the basics of AI. Topics include machine learning, probabilistic reasoning, robotics, computer vision, and natural language processing….
This course combines design and orchestration of data pipelines, managing, preparing and improving data feeds and managing quality and statistical process control with agile…
This intensive course will enable you to master how to build deep learning applications with more used tools and how to use advanced techniques…
This course will enable you to bring your Machine Learning modelling techniques and practices up to a further level by leveraging the capabilities of…
Deep Learning is a technique for implementing Machine Learning. TensorFlow is a framework created by Google for creating Deep Learning models. By implementing TensorFlow,…
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Artificial Intelligence Engineer
Artificial Intelligence is a term that is used to describe computer software that simulates human-like/human intelligence processes. It can involve problem-solving, learning and planning. Two of the main examples of AI are machine learning (ML) and deep learning (DL). The technology has helped to streamline even the most mundane of tasks whilst having a breath-taking impact on a company’s efficiency and productivity. AI has not only transformed administrative processes and freed up more time for companies, but it has also contributed to some ground-breaking moments in business, being a must-have for many in order to keep up with the competition.
According to Indeed, AI Specialist job openings grew 344% between 2015 and 2019 and has continued to be the top emerging job in 2020. Working with Solution Architects and Data Scientists, AI Engineers build, test, and deploy AI models and applications. Enriched with data mining and machine learning expertise, AI Engineers can navigate between traditional software development and AI implementations. AI Engineers typically conduct requirements analysis for AI solutions, recommend technologies, and design and implement high performance AI solutions that can scale.
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