IIT Kanpur - Advanced Certification in AI & Machine Learning
- Offered byEdvancer
Advanced Certification in AI & Machine Learning at Edvancer Overview
Duration | 500 hours |
Total fee | ₹1.50 Lakh |
Mode of learning | Online |
Official Website | Go to Website |
Credential | Certificate |
Advanced Certification in AI & Machine Learning at Edvancer Highlights
- Earn a certificate after completion of course from IIT Kanpur and Edvancer
- 24x7 lifetime access to the course content
- Get 100% placement assistance post certification to get into a career in data analytics
- Fee payment can be done in installments
- Scholarships & Financing available only for next 30 enrolments
Advanced Certification in AI & Machine Learning at Edvancer Course details
Fundamentals of Python
Basics of statistics
Neural Networks in Python
Getting Started with Tensorflow
Face detection and recognition
Image captioning and style transfer
Participants will learn Python, SQL, Tensorflow, Keras, Machine Learning & Deep Learning in this comprehensive specialization course
Create an AI & ML project portfolio to establish your skills and credibility and attract recruiters
Become a certified full-stack AI expert from one of the world's best institutes with core skills in the highly in-demand areas of Machine Learning & Deep Learning in Python
Build a robust AI based spam filter for online forums like Stack Overflow at scale
Advanced Certification in AI & Machine Learning at Edvancer Curriculum
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
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
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