Artificial Intelligence Engineer Master's Program By Simplilearn | Enroll Now | Simplilearn
🔥Artificial Intelligence Engineer Program (Discount Coupon: YTBE15): https://www.simplilearn.com/masters-in-artificial-intelligence?utm_campaign=ArtificialIntelligenceEngineerMastersProgramBySimplilearn-Xq_M6oXKiAk&utm_medium=DescriptionFF&utm_source=youtube
Accelerate your career with this Artificial Intelligence Course in conjunction with IBM. Industry-relevant AI courses, including Data Science with Python, Machine Learning, Deep Learning, and NLP, feature unique hackathons and Ask Me Anything sessions hosted by IBM. Get job-ready AI certification training with Capstone projects, practical labs, live sessions, and hands-on projects.
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✅ About Artificial Intelligence Engineer Master's Program
The Artificial Intelligence course, created in partnership with IBM, introduces students to blended learning and prepares them to be specialists in AI and Data Science. IBM, located in Armonk, New York, is a significant cognitive services and integrated cloud solution firm that provides many technology and consulting solutions. IBM invests $6 billion in research & development every year and has won five Nobel prizes, nine US National Medals of Technology, five US National Medals of Science, six Turing Awards, and ten US Inventors Hall of Fame inductions. IBM is a leader in AI and Machine Learning technology vertical for 2021. This AI course will prepare students for careers in Artificial Intelligence and Data Analytics.
✅ What skills are covered in this Artificial Intelligence course?
You will be able to demonstrate the following ability after completing this Artificial Intelligence certification training:
- Learn Artificial Intelligence's concept, purpose, domain breadth, phases, implementations, and impacts.
- Create real-world projects, games, prediction models, logic constraint satisfaction concerns, experience and understanding systems, probabilistic models, and agent decision-making skills using your artificial intelligent machines and models.
- Learn basic programming features and technicalities, such as data types, tuples, lists, arrays, basic operators, and functions.
- Learn how to develop your Python programs and use the Jupyter notebook to analyze fundamental data.
- Learn about data wrangling, data exploration, data visualization, hypothesis creation, and testing procedures in Data Science.
- Use the NumPy and SciPy packages for high-level mathematical and technical computing and the Pandas package for data analysis.
- Learn about supervised and unsupervised learning methods such as linear regression, logistic regression, clustering, dimensionality reduction, K-NN and pipeline, recommendation engines, and time series modeling.
- Understand TensorFlow's core principles, functions, operations, and the execution pipeline.
- CNN, artificial neural networks, training deep RNN networks, and high-level NLP interfaces are among the advanced issues in AI.
✅ Tools Covered
- NumPy
- Pandas
- SciPy
- Apache Spark
- Keras
- Tensor Flow
- Python
- R Programming
- Scala
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