ARTIFICIAL INTELLIGENCE

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ai

OBJECTIVE 

In this course you will learn what Artificial Intelligence (AI) is, explore use cases and applications of AI,  understand AI concepts and terms like machine learning, deep learning and neural networks Including  the implementation of python programming in AI. 

EXIT PROFILE 

Knowledge in Machine Learning 

Knowledge in Artificial Intelligence 

Knowledge in Data structure & algorithms  

Knowledge in Python Programming 

CAREER PATH 

Programmer in AI 

Programmer in Machine Learning 

Python Programmer 

FACULTY SKILL SET 

Programmer in AI 

Knowledge in Machine Learning 

Knowledge in Python 

HARDWARE AND SOFTWARE REQUIREMENTS 

Operating System: Windows 7/8/10  

Minimum Memory: 1 GB  

Recommended Memory: 4 GB / 8 GB  

Minimum Disk Space: 160 GB  

Recommended Disk Space: 1 TB 

PREREQUISITE FOR STUDENTS  

Before attending this course, students must have:  

Basic Knowledge in programming  

Basic Knowledge in Python 

Basic Knowledge in Data structure & Algorithm will be an added advantage

COURSE OUTLINE 

Introduction in Machine Learning 

Bayes optimal decisions 

LINEAR, LOGISTIC REGRESSION 

Decision tree 

Random forest, Naive Bayes 

K nearest Neighbor (KNN), support vector machine (SVM). 

K-means clustering 

Introduction to deep learning

Training a neural network 

Natural language processing 

Python programming 

Machine learning 

Keras 

Neural networks 

Bayesian and Markov’s models 

Decision making 

Bandit algorithms 

Course Features

  • Lectures 58
  • Quizzes 0
  • Duration 72 hours
  • Skill level All levels
  • Language English
  • Students 0
  • Assessments Yes

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