AI & Deep Learning

Instructor-led Live Classes

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New Batch starts from 11th October 2020

Course brief

In this course, we will learn about, Machine Learning and algorithms, machine learning scalable on Big data using Apache Spark, Deep Learning and Neural Networks using Keras, Deep learning models with TensorFlow, Deep Learning and Computer Vision and Fundamentals of Reinforcement learning. During this instructor-led Training, you will be having live interaction with the instructor, and at the end of the course, you will be dealing with a real-time project. Based on the performance you will be issued a course completion certificate and also you will get access to our classroom portal(LMS) where you can access course content, class recordings and quizzes.

7 weeks
Basics of Python


₹15000 47%

Why learn AI & Deep Learning?

The importance of Artificial Intelligence and Deep Learning has been increasing as a growing number of companies are using these technologies to improve their products and services, estimate their business models, and intensify their decision-making process. There are many job opportunities. Many companies like Google, Microsoft and Apple rely on Artificial Intelligence and Deep Learning. AI and deep learning is a shining star of the movement.

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What you will learn

Lesson 1
Machine Learning and algorithms
  • Introduction
  • Regression
  • Classification
  • Clustering
  • Recommendation systems
  • Micro project
Lesson 2
Making machine learning scalable on Big data using Apache Spark
  • Working of Apache Spark
  • Parallelization and Statistics
  • Introduction to Apache SparkML
  • Supervised and Unsupervised learning with SparkML
Lesson 3
Deep Learning and Neural Networks using Keras
  • Introduction to neural networks & deep learning
  • Artificial Neural Networks (ANN)
  • Keras and Deep Learning Libraries
  • Deep Learning Models – Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN) & Autoencoders
  • Micro project
Lesson 4
Building deep learning models with TensorFlow
  • Use TensorFlow to Build linear & logistic regression models
  • Supervised learning models on MNIST data
  • RNN and Long Short Term Memory (LSTM) to language modelling
  • Unsupervised learning using Restricted Boltzmann Machines (RBM) & Autoencoders
Lesson 5
Deep Learning and Computer Vision
  • Introduction
  • Face Detection
  • Micro assignment – Emotion detector
  • Object detection
  • Generative Adversarial Networks (GANs)
Lesson 6
Fundamentals of Reinforcement learning
  • Introduction
  • Q-Learning
  • Deep Q-Learning
Lesson 7
AI capstone Project with Deep Learning
  • Images classification using pre-trained models


Can I attend this course online?

Yes. This course is completely online

Will I get a certificate after completing the course?

Yes. On successful completion of this course, we will be issuing you a Course Completion Certificate

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