Artificial Intelligence Course

Artificial Intelligence Syallbus

  • INTRODUCTION TO PYTHON
  • PYTHON SYNTAX
  • DATA ANALYSIS USING PYTHON
  • NUMERICAL PYTHON
  • DATA MANIPULATION WITH PANDAS
  • STRING MANIPULATION
  • FILE HANDLING OPERATIONS IN NUMPY
  • DATA VISUALIZATION
  • DESCRIPTIVE STATISTICS
  • REGRESSION TECHNIQUES
  • LINEAR REGRESSION
  • MULTIPLE LINEAR REGRESSION
  • EVALUATING THE METRICS OF REGRESSION TECHNIQUES
  • POLYNOMIAL REGRESSION
  • REGULARIZATION TECHNIQUES
  • CAPSTONE PROJECT
  • LOGISTIC REGRESSION
  • NAIVE BAYES
  • DECISION TREES
  • SUPPORT VECTOR
    MACHINES
  • ENSEMBLE METHODS IN TREE-BASED MODELS
  • INTRODUCTION TO NEURAL
    NETWORKS
  • TENSORFLOW 2.0
  • ARTIFICIAL NEURAL NETWORK WITH TENSORFLOW
  • INTRODUCING GOOGLE COLAB
  • TENSORFLOW GRAPHS
  • WEIGHT INITIALIZATION
  • OPTIMIZATION FUNCTIONS
  • CROSS ENTROPY
  • NEURAL NETWORK FOR
    CLASSIFICATION
  • EVALUATING THE ANN
  • INTRODUCTION TO NLP
  • STATISTICAL NLP TECHNIQUES
  • NLP TOKENIZATION
  • WORD EMBEDDING
  • NAMED ENTITY RECOGNITION(NER)
  • SEQUENTIAL MODELS
  • SENTIMENT ANALYSIS
  • MACHINE TRANSLATION
  • CHATBOT
  • ADVANCED LSTM STRUCTURES

In the last 12 hours,17 learners have onboarded with us

Artificial Intelligence Course Schedule

Artificial Intelligence Course Schedule

Month Topic
Month 1
  • PYTHON CORE AND ADVANCED
  • INTRODUCTION TO PYTHON
  • PYTHON SYNTAX
  • DATA ANALYSIS USING PYTHON
  • NUMERICAL PYTHON
  • DATA MANIPULATION WITH PANDAS
  • STRING MANIPULATION
Month 2
  • FILE HANDLING OPERATIONS IN NUMPY
  • DATA VISUALIZATION
  • DESCRIPTIVE STATISTICS
  • MACHINE LEARNING
  • REGRESSION TECHNIQUES
  • LINEAR REGRESSION
  • MULTIPLE LINEAR REGRESSION
Month 3
  • EVALUATING THE METRICS OF REGRESSION TECHNIQUES
  • POLYNOMIAL REGRESSION
  • REGULARIZATION TECHNIQUES
  • CAPSTONE PROJECT
  • LOGISTIC REGRESSION
  • NAIVE BAYES
  • DECISION TREES
Month 4
  • SUPPORT VECTOR MACHINES
  • ENSEMBLE METHODS IN TREE-BASED MODELS
  • AI & DEEP LEARNING
  • INTRODUCTION TO NEURAL NETWORKS
  • TENSORFLOW 2.0
  • ARTIFICIAL NEURAL NETWORK WITH TENSORFLOW
  • INTRODUCING GOOGLE COLAB
Month 5
  • TENSORFLOW GRAPHS
  • WEIGHT INITIALIZATION
  • OPTIMIZATION FUNCTIONS
  • CROSS ENTROPY
  • NEURAL NETWORK FOR CLASSIFICATION
  • EVALUATING THE ANN
  • NATURAL LANGUAGE PROCESSING (NLP)
Month 6
  • INTRODUCTION TO NLP
  • STATISTICAL NLP TECHNIQUES
  • NLP TOKENIZATION
  • WORD EMBEDDING
  • NAMED ENTITY RECOGNITION(NER)
  • SEQUENTIAL MODELS
  • SENTIMENT ANALYSIS
  • MACHINE TRANSLATION
  • CHATBOT
  • ADVANCED LSTM STRUCTURES

Artificial Intelligence (AI) and Machine Learning (ML) represent cutting-edge technologies that revolutionize industries and transform the way we interact with technology. AI involves creating systems that can perform tasks that typically require human intelligence, while ML focuses on developing algorithms that enable computers to learn from data and make predictions or decisions without explicit programming.

Benefits

Class Time:

Course Details:

Course Price:

Rs.75000 Rs.40000

Lesson Duration

6 Months

Course Mode

Online & Offline Class

Places for Students

20

Language:

English, Hindi

Certifications

Digital, Physical

Location

Chembur, Govandi

H
M
S

In the last 12 hours, 17 learners have onboarded with us

FAQ

Our training center is conveniently located in Chembur and Govandi 

You can enroll by visiting our website or contacting our office directly. Also Contact Directly Whatsapp No. +91 91672 43835 Phone No. +91 9167243835

Yes, we offer both online and offline classes to cater to different preferences. You can choose the mode that suits your schedule and learning style.

 

Yes, a certificate is provided upon course completion, and placement assistance is offered to help you secure relevant job opportunities.

The course fee is 40,000/- for the entire program.

The course duration is 6 months, providing a condensed and intensive learning experience.

In the last 12 hours, 17 learners have onboarded with us

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