Course

Title : ARTIFICIAL INTELLIGENCE - Professional Course

Hours : 60 Hrs

Batches : Weekday ( Mon - Fri )|Weekend ( Sat & Sun )

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60 Hours of
Class Room Training

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30 Sessions of
Class Room Training

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90 Hours of
Coding Assignment

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50 Coding Tasks
For Interview Purpose

Course Overview

We provide a Professional level course in Artificial Intelligence Technology that includes it's Origin, evolution, current trends and the future. You learn about its approach such as Algorithms & Techniques, Models and Neural networks such as ANN, RNN, CNN; and also, Image processing, Video Analytics, Speech Recognition using Tensor Flow Algorithms. Also, you learn how to develop AI Applications for Security Purposes.

Prerequisites

Anyone aspiring to learn new technology can take this course.

Participants in this course should have:

  • Understanding on Python Programming Fundamentals.
  • Basic knowledge of statistics.
  • Basic machine learning knowledge.

Batches

Weekday Batch:
2:00PM to 4:00PM | Monday to Friday | 5 Days/Week | 6 Weeks Course

Weekend Batch:
2:00PM to 4:00PM | Saturday & Sunday | 2 Days/Week | 15 Weeks Course

Curriculum

Download Curriculum
  • Class-1 : Introduction to AI
  • Class-2 : Machine Learning: Linear models
  • Class-3 : Perceptron
  • Class-4 : K Nearest Neighbours
  • Class-5 : Gradient Descent and Backpropagation
  • Class-6 : Advanced models
  • Class-7 : Neural networks
  • Class-8 : SVMs
  • Class-9 : Decision trees
  • Class-10 : Cluster Analysis
  • Class-11 : Unsupervised learning
  • Class-12 : Markov decision processes
  • Class-13 : Propositional & 1st order logic
  • Class-14 : AI applications (NLP)
  • Class-15 : AI applications (Vision/Robotics)
  • Class-16 : Intuition & Building an ANN
  • Class-17 : Intuition & Building a CNN
  • Class-18 : Maven - Library Dependencies
  • Class-19 : Advanced RNN Units
  • Class-20 : Introduction to Tensorflow
  • Class-21 : Simple RNN in Tensorflow
  • Class-22 : Building NN using Tensorflow
  • Class-23 : Deep Learning using Tensorflow
  • Class-24 : Transfer Learning using Keras and TFLearn
  • Class-25 : Natural Language Processing
  • Class-26 : Speech Recognition
  • Class-27 : Image Processing & Video Analytics
  • Class-28 : AI and Blockchain: A United Approach
  • Class-29 : Smart Contract Security Issue
  • Class-30 : AI Assisted Smart Contract Testing

Class Features