Career Spotlight: AI Engineer [VIDEO]
Imagine shaping the future of technology. That's the power of an AI Engineer - the brilliant minds behind self-driving cars, personalized recommendations, and so much more!
![[Thumbnail] Career Spotlight: AI Engineer](https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://images.ctfassets.net/wp1lcwdav1p1/5QzL8FgGPxZpwIQKLu6VKk/4effbc9a3680f38ce80055187408e78a/Basics__9_.png?auto=format%2Ccompress&dpr=1&w=750&h=450&q=60)
Imagine being at the forefront of technological innovation — that's the world of an AI engineer. These modern-day wizards develop the tools and systems that bring artificial intelligence to life in the real world.
As an AI engineer, you’ll build intelligent applications using machine learning techniques like training algorithms with data to mimic human reasoning and decision-making. From personalizing streaming services to powering self-driving cars, the possibilities are endless.
With AI projected to contribute over $15 trillion to the global economy by 2030, the demand for AI talent is skyrocketing. This fast-growing field offers an average salary over $115,000 in the US alone.
So if you’re a problem solver with a passion for coding and analytics, a career as an AI engineer could be your calling. Gain skills in programming, data frameworks, and algorithms through online courses, and get ready to shape the future of intelligent technology.
professional certificate
IBM AI Engineering
Get job-ready as an AI engineer . Build the AI engineering skills and practical experience you need to catch the eye of an employer in less than 4 months. Power up your resume!
4.5
Intermediate level
Average time: 4 month(s)
Learn at your own pace
Skills you'll build:
Prompt Engineering, Applied Machine Learning, Reinforcement Learning, Machine Learning, Supervised Learning, PyTorch (Machine Learning Library), Generative AI, Unsupervised Learning, Python Programming, Data Manipulation, Generative AI Agents, Tensorflow, Image Analysis, Data Science, Feature Engineering, Natural Language Processing, Deep Learning, Keras (Neural Network Library), Artificial Neural Networks, Large Language Modeling, Data Processing, Computer Vision, Verification And Validation, Predictive Modeling, Scientific Visualization, Network Architecture, Network Model, Machine Learning Methods, Regression Analysis, Dimensionality Reduction, Classification And Regression Tree (CART), Scikit Learn (Machine Learning Library), Decision Tree Learning, Statistical Modeling, User Interface (UI), Application Development, Database Management Systems, Data Storage Technologies, Data Import/Export, Statistical Methods, Text Mining, Semantic Web, Data Ethics, Probability & Statistics, Data Pipelines, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), OpenAI, ChatGPT, Probability Distribution, Performance Tuning, Time Series Analysis and Forecasting
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This content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.
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