Artificial Intelligence & Machine Learning

Duration: 90 Hours

Price: ₹ 79999.00

Launch Offer: ₹ 59999.00



Artificial Intelligence (AI) & Machine Learning (ML) are the most in demand skills in near future. AI & ML training aims to provide the required inputs about the AI and Data Science using Python programming language. In addition to it, ML is of prime importance to AI and it leads to learning TensorFlow for the creation of Machine Learning Application in real time. Following courses are included in AI & ML Training:

  • AI Essentials
  • Data Science with Python
  • Machine Learning
  • Deep Learning with TensorFlow

AI Essentials

  • Basic Overview of Artificial Intelligence
  • Understanding Machine Learning in detail
  • Working with Text and Speech
  • Dealing with Computer Vision
  • Introduction to Bots

Data Science with Python

  • Basic Overview of Data Science
  • Introduction to Data Analytics
    • Understanding the complete process of Data Analytics
    • Working with Exploratory Data Analysis (EDA)
  • Introduction to Python
    • Environment Setup for Python
    • Installation of Python
    • Working with various Data Types of Python
    • Using different operators and functions in Python
  • Performing Mathematical Computation using NumPy
    • Basic overview of NumPy
    • Working with Class and attributes of ndarray
    • Dealing with Mathematical functions of NumPy
  • Basic Introduction to Scientific Computing with Python (SciPy)
    • Basic Overview of SciPy
    • Understanding various SciPy SubPackages
  • Data Manipulation with Pandas
    • Basic Introduction to Pandas
    • Understanding the process of DataFrame
    • Viewing and selecting Data Demo
    • Working with missing values
    • Dealing with various Data Operations
    • Working with File Read and Write Support
    • Using Pandas SQL Operation
  • Machine Learning with Scikit-Learn
  • Natural Language Processing with Scikit-learn
  • Data Visualisation using matplotlib

Machine Learning

  • ML Fundamentals
  • ML Common Use Cases
  • Understanding Supervised and Unsupervised Learning Techniques

Deep Learning with TensorFlow

  • Introduction to the Machine Learning System
  • Basics of Recursive Neural Networks (RNN)
  • Understanding the basics of TensorFlow
  • Data Preparation using TensorFlow
  • Graph Building concept using TensorFlow
  • Model Training concept for TensorFlow
  • Model Evaluation Process
  • Advanced Usage for TensorFlow
  • Serving Concepts for Tensor Flow


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