IIT Kanpur Advanced Certification in AI & Machine Learning

1. Machine Learning in Python

• Introduction to Machine Learning & Python
• Fundamentals of Python
• Loops, functions and classes in Python
• Data summary & visualization in Python using Pandas
• Data Processing in Python using NumPy & Pandas
• Basics of statistics
• Basics of Machine Learning
• Generalised Linear Models in Python
• Decision Tree Models using Python
• Bagging and Boosting Algorithms in Python
• SVM and kNN in Python
• Unsupervised learning in Python
• Neural Networks in Python
• Text Mining in Python
• Ensemble Methods for mixed algorithms
• Python pipelines for model deployment
• Version control with git
• Advanced feature engineering, parameter tuning and model interpretation

2. Deep Learning in Tensorflow and Keras

• Introduction to AI and Deep Learning
• Gradient descent algorithm and parameter optimisation
• Getting Started with Tensorflow
• Deep Feed Forward & Convolutional Neural Networks
• Introduction to Keras
• RNN, LSTM and GRU algorithms
• Unsupervised deep learning with Autoencoders
• Generative Adversarial Networks
• Computer vision using deep learning
• Object detection and localisation
• Face detection and recognition
• Natural Language Processing (NLP)
• Deep Learning algorithms for NLP
• Creating chatbots with Rasa
• Implementing other AI applications
• Processing audio data
• Image captioning and style transfer

3. Data Analysis in SQL (Videos Only)

• Introduction to SQL
• SQL data types and operators
• Useful operations in SQL
• Aggregating Data in SQL
• Functions and sub-queries in SQL
• DML and DDL statements in SQL
• Joins and views in SQL