Artificial intelligence

by Tlab Bridging The Gap Claim Listing

AI is the Future! AI is going to be the radical transformation of next technical era. AI is one of the most demanded course of the century! In the era of Digitization and Automation the technology is being transformed in intelligent systems to solve complex human problems.

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img Duration

80 Days

Course Details

AI is the Future! AI is going to be the radical transformation of next technical era. AI is one of the most demanded course of the century! In the era of Digitization and Automation the technology is being transformed in intelligent systems to solve complex human problems.

Six month AI/ML course will include fundamental modules regarding basic python language, AI & python libraries to be implemented while working with practice models, Machine Learning Algorithms including supervised learning and unsupervised learning, AI frameworks, AI practice and Deep Leaning, which are widely used in industries. Internship experience will be provided with practice modules.

 

Our Aim:

  • Get Primary Introduction of AI with basic fundamentals of python language and coding concepts.
  • Learn about AI/ML Libraries to be implemented in practice modules, along with Machine leaning Algorithms.
  • Learn about OpenCV framework for image processing and face detection.
  • AI Project Practice in real time practice models along with AI advanced and Deep learning.

 

What You Will Learn:

  • Module 1
  •  Introduction of AI
  • Overview of python
  • Number and Strings, Operators, Loops, Conditions, Lambda function uses, values, types, variables.
  • Expression, command-line arguments.
  • Modules, import, pip, conda install.
  • File IO.
  • Functions, class, object, oops concepts.
  • Exception Handling.
  • Module 2
  • AI ML Library Implementation
  • Data manipulation Library pandas
  • Numerical Python Library numpy
  • Scientific python library scipy
  • Graphical plotting sea born and matplotlib.
  • Machine learning Library scikit or sk-learn and stat-models.
  • Module 3
  • Machine Learning Algorithms (supervised learning and unsupervised learning)
  • Linear Regression
  • Logistic Regression
  •  K-nearest-neighbor (KNN)
  •  K means
  •  Support Vector Machine (SVM)
  •  Decision Tree
  •  Naive Bias
  •  Random Forest
  •  Dimension Reduction scaling, factor Analysis.
  • And more.
  • Ahmedabad Branch

    Palladium Business Hub, Opp. 4D Square Mall, Near VGEC College., Ahmedabad

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