Master AI and machine learning with Python by learning the basics using NumPy and pandas and applying TensorFlow and Scikit-learn. Focus on projects to build your skills.

HIGHLIGHTS

Foundations of AI and ML

Introduction to AI and ML, Python basics, NumPy, Pandas, Matplotlib, Seaborn, data preprocessing, and exploratory data analysis (EDA) etc.

Machine Learning Techniques

Supervised learning (linear regression, logistic regression, decision trees, SVM), unsupervised learning (clustering, PCA), evaluation metrics, and model tuning etc.

Artificial Intelligence and Deep Learning

Neural networks, TensorFlow/PyTorch basics, CNNs, RNNs, and Natural Language Processing (NLP) etc.

AI/ML Projects and Deployment

Real-world AI/ML projects, time series analysis, reinforcement learning basics, model deployment using Flask/Streamlit, and cloud integration with AWS/GCP etc.

Project

Live projects allow you to implement AI and ML algorithms with Python, focusing on data analysis, model training, and deployment, giving you practical experience in solving real-world problems with machine learning.

Duration

6 months