infyni

Artificial Intelligence Engineer

Artificial Intelligence Engineer

Live Course

Duration: 35 Hours

Enrolled: 2

Offered by: infyni

Live Course

$174

Coming Soon Notify Me

About Course

Artificial intelligence (AI) is the ability of a computer program or a machine to think and learn.Experts claim AI is the Next Industrial Revolution bringing in changes.

Artificial intelligence (AI)is a rapidly growing field and the talent market is hot. Because of this demand, AI engineer salaries continue to increase.Not only is this an in-demand role, but AI engineers can command a top salary and report high levels of job satisfaction, making it a highly appealing career option.
Your learning will get reinforced through hands-on lab session. We also have tucked in Session Recordings ,Quizzes, Assignments, and Projects so you get a complete learning support resources throughout the course.

  • Topics
  • Instructor (1)
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  • AI: Application areas
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  • AI Basics
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  • Neural Network Basics (Perceptron and MLP, FFN, Backpropagation
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  • Practice assignment
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  • Introduction to Neural Networks
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  • Single layer neural network
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  • Multiple layer Neural network
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  • Back propagation Algorithm
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  • Neural Networks implementation in Python
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  • Installation of Keras
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  • Deep Learning Concepts like Neural Networks
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  • Searching for images: A case study in deep learning
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  • Learning very non-linear features with neural networks
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  • Application of deep learning to computer vision
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  • Deep learning performance
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  • Demo of deep learning model
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  • Deep learning ML block diagram
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  • CNN/RNN
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  • Building A chat bot with NLP
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  • Introduction to Data Science, ML, DL & AI - why is it so important?
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  • Applications of Data science across industries
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  • Business problems – Analytics scenarios
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  • Analytics Industry in India, Job Market & Top Skills
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  • Data Scientist Toolbox, Tool of choice- Python: what & why?
  • Introduction to Python
     
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  • Installation of Python framework and packages: Anaconda and pip
     
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  • Working with Jupyter Notebooks
     
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  • Creating Python variables: Numeric, string and logical operations
     
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  • Practice Assignments
    Operations & Functions in Python
     
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  • Writing for loops in Python
     
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  • List & Dictionary Comprehension
    Numerical Summary of Data
     
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  • Summarizing numeric data and categorical data in pandas
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  • Need for visual summary
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  • Introduction to Seaborn

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