Artificial Intelligence
“AI and Data Science are closely linked disciplines, with AI covering a wide range of intelligent system development and Data Science concentrating on deriving insights from data. The synergy between these fields is vital for creating sophisticated and impactful AI systems.”
What you'll learn
In this Program, you will gain proficiency in how to analyze a number of statistical procedures in SPSS.
Learn how to write the results of statistical analyses using APA format
You will learn how to interpret the output of a number of different statistical tests
Approach
- Lead by industry experts
- Hands-on
- Real time project implementation
- Industry certificate
Course content
- Fundamentals of Python language – basic syntax, Data structures, operators, conditional statements, loops, function, class.
- Woking with libraries, python libraries, installation and usage for writing the AI ML Mode ex – Tensorflow , Keras, Matplot, Pandas etc.
- AI ML – Data Science, Machine learning and NLP based concepts exploring
- AI ML models – Classification and regression models
- Model architecture, parameters, implementation flow and working.
- Feed Forward Network, Convolutional Neural Network, Recurrent Neural Network …. Etc.
- Method of implementation for own AI and ML model
- Annotation methods and Tools, Data cleaning and Augmentation methods with python coding.
- Training and Testing the ML model in the Google colab, TensorFlow and GPU system for various ML models.
- Hands on with basic python programming
- Projects on function, class and data processing in python
- Python Libraries based projects – Numpy, Pandas, Opencv, Matplot, Tensorflow, and Keras.
- Regression based projects like – Linear regression, Binary tree implementation on real time use cases example price prediction for crops, homes etc.
- ML project implementation in TensorFlow, Anaconda, Spyder and Google Colab for MNIST handwritten datasets, fashion MNIST datasets and Kaggle datasets and own dataset.
- Hands-on
- Industry based use cases
- 15 days Concepts oriented sessions followed by next 15 days self work
- Online Mode- Monday to Friday (1 Hr)
- Offline at Bangalore
- Complete Python programming Knowledge
- Industry Oriented expose for implementing the ML Models
- Hands on with real time use cases
- Basic level of programming understanding L0
- Knowledge of system handling for the python installation, VS code or any other python interpreter. (Anaconda, Spyder, Jyupter Notebook)
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