Advanced Certification Program in Artificial Intelligence & Machine Learning

  Advanced     Last Updated At 13/12/2022
  English     English [Auto]

Key Learning

It covers key concepts like Statistics, Machine Learning, Deep Learning, NLP, and Reinforcement Learning.

This program is delivered through our interactive learning model with live sessions by global practitioners, labs, and industry projects.

6 sections • 31 modules • 320hrs total length
Module-1: Python Basics
Module-2: Python NumPy & Pandas
Module-3: Data Processing and Manipulation
Module-4: Data Visualization
Module-5: Tableau
Module-1: Mathematics for Machine Learning
Module-2: Statistical Foundations
Module-3: Probability
Module-4: Inferential Statistics
Module-1: Introduction to Machine Learning
Module-2: Regression
Module-3: Supervised Classification
Module-4: Unsupervised Learning
Module-5: Dimension Reduction
Module-6: Association Rules Mining
Module-7: Recommendation System
Module-8: Time-series Forecasting
Module-1: Introduction to Deep Learning
Module-2: Tensorflow 2.0 with Tensor Board
Module-3: Computer Vision
Module-4: Introduction to NLP
Module-5: Text Processing Methods
Module-6: Introduction to Sequence Learning
Module-7: RNN vs LSTM
Module-8: TensorFlow Hub for Object Detection using Faster RCNN
Module-9: Sentiment Analysis
Module-10: Reinforcement Learning
Module-1: IoT Architecture, Protocols and ML
Module-2: Introduction of Cloud Computing and Edge System Architecture
Module 3: ML Optimization Techniques
Module 4: IoT Cloud Platforms supporting ML

This Advanced Certification course in Artificial Intelligence & Machine Learning course is ideal for working professionals & Engineering Graduates with programming knowledge. It covers key concepts like Statistics, Machine Learning, Deep Learning, NLP, and Reinforcement Learning. This program is delivered through our interactive learning model with live sessions by global practitioners, labs, and industry projects.


• Must possess relevant Education / Programming knowledge or Technical Understanding of the course enrolled for.
• Students can be any graduate.
• IT Professionals with more than 1 Year of experience.


• Bachelor's Degree with 50% or equivalent passing marks.
• Basic understanding of programming concepts and mathematics.

Advanced Certification Program in Artificial Intelligence & Machine Learning

  Advanced     Last Updated At 13/12/2022
  English     English [Auto]

Key Learning

It covers key concepts like Statistics, Machine Learning, Deep Learning, NLP, and Reinforcement Learning.

This program is delivered through our interactive learning model with live sessions by global practitioners, labs, and industry projects.

6 sections • 31 modules • 320hrs total length
Module-1: Python Basics
Module-2: Python NumPy & Pandas
Module-3: Data Processing and Manipulation
Module-4: Data Visualization
Module-5: Tableau
Module-1: Mathematics for Machine Learning
Module-2: Statistical Foundations
Module-3: Probability
Module-4: Inferential Statistics
Module-1: Introduction to Machine Learning
Module-2: Regression
Module-3: Supervised Classification
Module-4: Unsupervised Learning
Module-5: Dimension Reduction
Module-6: Association Rules Mining
Module-7: Recommendation System
Module-8: Time-series Forecasting
Module-1: Introduction to Deep Learning
Module-2: Tensorflow 2.0 with Tensor Board
Module-3: Computer Vision
Module-4: Introduction to NLP
Module-5: Text Processing Methods
Module-6: Introduction to Sequence Learning
Module-7: RNN vs LSTM
Module-8: TensorFlow Hub for Object Detection using Faster RCNN
Module-9: Sentiment Analysis
Module-10: Reinforcement Learning
Module-1: IoT Architecture, Protocols and ML
Module-2: Introduction of Cloud Computing and Edge System Architecture
Module 3: ML Optimization Techniques
Module 4: IoT Cloud Platforms supporting ML

This Advanced Certification course in Artificial Intelligence & Machine Learning course is ideal for working professionals & Engineering Graduates with programming knowledge. It covers key concepts like Statistics, Machine Learning, Deep Learning, NLP, and Reinforcement Learning. This program is delivered through our interactive learning model with live sessions by global practitioners, labs, and industry projects.


• Must possess relevant Education / Programming knowledge or Technical Understanding of the course enrolled for.

• Students can be any graduate.

• IT Professionals with more than 1 Year of experience.


• Bachelor's Degree with 50% or equivalent passing marks.

• Basic understanding of programming concepts and mathematics. 

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