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AIDM : ISO APPROVED 9001 : 2015

CERTIFICATE NO. 0606Q80220

best java training institute in delhi

AIDM : ISO APPROVED 9001 : 2015

CERTIFICATE NO. 0606Q80220




 Artificial Intelligence


5 Star Rating: Very Good 4.50 out of 5 based on 431 ratings.

AIDM is the best Artificial intelligence training institute in Delhi,which offers the various training programme on this topic under the guidance of industry experts. It provides one of the finest Artificial intelligence course in Delhi which is based on current industry standards.

Our artificial intelligence course in Delhi will give your career a new height which not only includes in-depth theoretical knowledge but also practical exposure with the mentorship of professional experts. We at AIDM provides you with an excellent learning platform to explore the subject and help the candidates to achieve their dream.

These days, artificial intelligence is such a happening and demanding concept which has been utilized in every industry. Seeking a high demand in the IT industry, candidates show extreme eagerness to join an artificial intelligence course in Delhi, India or whatever the location is. It has a wide application which makes highly craving niche at present. There are hundreds of artificial intelligence training institute in Delhi but choosing the best one is quite difficult. So always pay attention while selecting an institute.

The main objective of AI courses in Delhi

In these days, Artificial intelligence (AI) has become smarter and it has its wide applications in all the business which elevates performances. Artificial Intelligence is widely utilized in media, gaming, robotics, autonomous vehicle, medical diagnosis, quantum science etc. In this digital world, where data plays a crucial role, Artificial Intelligence is needed to capitalize on the business.

Our AI course in Delhi is very helpful in building a successful career in Artificial Intelligence (AI), which gives a proper understanding of the subject. This course is like a juice of what our experts have learned in their decade-old experience. We have created a module in which you will get hands-on experience to ensure hassle-free implementation in your real-time projects while pursuing your career.

What skill will you get by joining the Artificial intelligence course in Delhi?

If you join this AI courses in Delhi, you will learn the following skills:

  • Basic understanding of AI and how the AI-based technologies are redefining the industry.
  • You will learn all the key terminology used in AI space.
  • Learn how AI is used in major applications through the use cases

Who should join artificial intelligence training institute in Delhi?

AIDM’s course on Artificial intelligence (AI) is very helpful to gain complete knowledge about artificial Intelligence subject. This course can be taken by the following:

  • Candidate for management and non-technical stream.
  • College students who want to peruse their career in artificial intelligence.
  • Freshers or newbies who not familiar with the AI concepts but want to grow their knowledge.
  • Candidates who are already working in any company and wants to boost their career.

Related Course:

Why choose us?

AIDM, which is the best Artificial intelligence training institute in Delhi have trainers, who are masters of their field and provide complete freedom to the students in exploring the concept of Artificial Intelligence on real-time examples. They help the candidates in completing their projects and nurtures them for interviews. They create an environment, where a candidate is free to ask any query.

  • Have more than 7 Years of Experience.
  • Trained more than 2000 students every year.
  • Best place to get Strong Theoretical & Practical Knowledge.
  • We have a team of Certified Professionals with High Grade.
  • We have Trainers having experience in multiple real-time projects in their Industries.
  • Being the leading artificial intelligence training institute in Delhi, we have a tie-up with well-reputed organisations and we are well connected with Hiring HRs in various multinational companies.
  • We have Expert level Subject Knowledge and fully up-to-date on real-world industry applications.
  • Our students are working in multinational companies like TCS, CTS, ZOHO, IBM, HCL technologies, etc.
  • Free personality development classes of spoken English for the interview, group discussion, mock interviews etc.
  • Notes, e-books and other study material based on the present demand in Artificial intelligence industry.
  • World wide recognized certificates on the successful completion of the Artificial intelligence course in Delhi.

Joining the best Artificial intelligence training institute in Delhi and start the journey of your dream career with us. This Artificial intelligence course in Delhi leverages the world-class industry expertise, which make you professional data science, machine learning expert. By enrolling at AIDM, you will become get detailed knowledge about basic terminologies, problem-solving and the learning methods of AI.


Introduction of Data Science

  • What is Analytics?
  • Different types of Analytics.
  • Importance of Analytics in Business
  • Organizations sing Business Analytics

DATA & ANALYTICS

  • Data Dictionary Data Types
  • Data Handling
  • Business Data Using Excel

INTRODUCTION OF EXCEL ENVIRONMENT

  • Understanding of data calculations
  • in excel.
  • Formatting of data calculation
  • formatting.
  • MS Excel functions
  • Understanding about Sorting,
  • Filtering & Validation MS
  • Excel charts
  • Pivot Table
  • Understanding of Data Tools Panel.
  • Basics of Macro Recording

DASHBOARD DESIGNING IN EXCEL

  • Introduction to Dashboards
  • Trends ,and Scenario using charts
  • Advanced charting Techniques
  • Designing Sample Dashboard
  • using from controls Tips and Tricks
  • to enhance dashboard designing.

BASICS OF STATISTICS

  • Data types and its measures.
  • Random Varieties it’s application
  • with exercises. Probability
  • Applications with examples.
  • Probability distribution with example.
  • Various graphic representation with
  • data for analysis Continuous
  • probability distribution
  • Discrete probability distribution
  • Computing probability from
  • normal distribution Central limit
  • theorem for sampling.

INTRODUCTION TO DATA SCIENCE

  • What is Analytics and Data Science
  • Overview of Analytics and Data Science
  • Why is Analytics becoming popular now?
  • Application of Analytics in business
  • Analytics vs Data warehousing ,
  • MIS Reporting Various
  • Terminology in Analytics
  • Various Analytics Methodology
  • How Businesses are using the power of Analytics?
  • Various Analytics tools and their usage

BUSINESS STATICS AND APPLICATIONS

  • Sample V/S Population Probability Theory
  • Probability Distribution Concepts
  • Types of Distribution
  • Data Description – Numerical Measures of Central Tendency Data
  • Description – Numerical Measures of Variability
  • Inferential Statistics
  • Concepts of Hypothesis testing
  • Statistical Methods – Z/t –
  • tests , ANOVA , Correlations and
  • Chi Square

FUNDAMENTALS OF PYTHON

  • Installation of Python
  • Getting started with Python
  • History of Python Features of python
  • Variable Operators in Python
  • Reading and Writing data files to
  • PythonWorking with
  • Python data frames
  • Python Functions and Loops
  • Special utility functions
  • Merging and Sorting data

DATA IMPORTING/EXPORTING IN PYTHON

  • Concepts of Packages
  • Data Structure & Data Types
  • Importing Data from various sources
  • ( txt, dlm, excel, csv etc ) Database Input
  • Exporting data to various formats
  • Viewing Data
  • Variable & Value Labels

INTRODUCTION TO PYTHON

  • Introductory remark about python. A brief
  • History of python.
  • How python is different from other languages
  • Python versions.
  • Installing python
  • IDLE
  • How to execute python
  • Writing you first program

PYTHON BASICS

  • Python keywords and identifiers.
  • Python statements
  • Comments in python
  • Command line
  • arguments Getting use input
  • Exercise

NUMPY PACKAGE

  • What is Numpy? Importing Numpy
  • Numpy overview
  • Numpy Array creation and basic
  • operation
  • Numpy universal function
  • Selecting and retrieving data
  • Data slicing
  • Iterating Numpy Data Shape
  • Manipulation, Stacking and
  • Splitting Arrays
  • Copies and Views: no copy,
  • shallow copy, deep copy
  • Indexing : Arrays of indices,
  • Boolean Arrays

DATA MANIPULATION USING PANDAS

  • Data Alignment
  • Sorting and Ranking Summary
  • Statistics Missing Values
  • Merging data Concatenation
  • Combining DataFrames Pivot
  • Duplicates Binning

PANDAS PACKAGE

  • Importing Pandas Pandas overview
  • Object creation : Series Object ,
  • DataFrame Object View Data
  • Selecting data by Label and
  • Position Data Slicing
  • Boolean Indexing Setting Data

PYTHON ADVANCE: DATA MUGGING WITH PANDAS

  • Applying functions to data
  • Histogramming
  • String methods
  • Merge Data: Concat, Join and Append
  • Grouping and Aggregation
  • Reshaping
  • Analysing Data for missing values
  • Filling missing values: fill with constant
  • forward filling, mean Removing
  • Duplicates
  • Transforming Data

PYTHON ADVANCE: VISUALIZATION WITH MATPLOTLIB

  • Anatomy of a MatplotLib Plot
  • Matplotlib basic plots and it’s containers
  • A Matplotlib figure, it’s
  • components and
  • properties Axes and other
  • graphical objects

PYLAB AND PYPLOT

  • Data for Matplotlib Plots
  • What is a Subplot?
  • Modifying size of figures
  • Plotting routines with pyplot
  • Customizing your pyplot
  • Deleting an Axes
  • Setting up Plot Title, Axes Labels,
  • Legend,
  • Layout Showing, Saving and
  • Closing your Plot
  • Save a Plot to an image file and
  • pdf file
  • Use cla(), clf() or close

PREDICTIVE MODELLING CONCEPTS

  • How to use Predictive Modelling in
  • R Linear Regression
  • Logistic Regression Model Selection
  • Scoring
  • Predictive Modelling Techniques
  • ( Decision Trees , CART , Neural Networks ,
  • Deep Learning )
  • Different phases of Predictive Modelling
  • Business Case Study ( Predictive Modelling )

CORRELATION AND LINEAR REGRESSION

  • Correlation
  • Simple Linear Regression Multiple
  • Linear Regression
  • Building Linear Regression Model Model
  • Diagnostic and Validation Working on
  • Case Study

LOGISTIC REGRESSION

  • Moving from Linear to Logistic Regression
  • Model assumptions and odds ration
  • Building Logistic Regression Model
  • Validation of Logistic Regression Model
  • Model assessment and gains table
  • ROC curve and KS statistics Case Study
  • Time Series Forecasting
  • What are time-series? Need for forecasting
  • Trends , Seasons , Cycles
  • Basic Techniques – Averages,
  • Smoothening etc.
  • Advanced Techniques – AR Models, ARIMA etc.
  • Case Study

INTRODUCTION TO MACHINE LEARNING

  • What is Machine Learning.
  • History of Machine
  • Learning How artificial
  • intelligence relates to
  • machine learning
  • Data science vs Machine
  • Learning Fundamentals of
  • Machine Learning

MACHINE LEARNING CONCEPTS

  • Branches of Machine Learning
  • Different phases of Machine
  • learning modeling
  • Data preparation for
  • modelling Train test split
  • Evaluation of the model

SUPERVISED LEARNING

  • Classification
  • KNN
  • Logistic
  • Regression
  • Naïve
  • Bayes SVM
  • Decision Tree
  • Regression
  • Linear
  • Regression SVR
  • KNN Ridge
  • Regression
  • Model Complexity
  • Generalization
  • Performance
  • Connection between Model
  • complexity and Generalization
  • Performance Importance of feature
  • Scaling Regularization
  • Cross validation for model evaluation

EVALUATION

  • Understanding of Evaluation and model
  • selection methods Optimize the
  • performance of Machine Learning models

ADVANCED SUPERVISED MACHINE LEARNING CONCEPTS

  • Ensemble Learning
  • Learning critical problem of
  • data leakage in machine
  • learning and how to detect
  • and avoid it

UNSUPERVISED LEARNING

  • K-Means clustering
  • Recommendation Engines

UNSUPERVISED LEARNING – CLUSTERING

  • K-Means Clustering
  • Document retrieval : A case study in
  • clustering and measuring similarity
  • Un Recommending Products

UNSUPERVISED LEARNING – DEEP LEARNING

  • Meaning and importance of deep learning
  • Artificial Neural Networks
  • Introduction to Tensorflow

REINFORCEMENT LEARNING

  • INTRODUCTION
  • Reinforcement Learning
  • Overview
  • Markov Decision Process (MDP)
  • MDP - Finding Optimal Policy
  • Example of an MDP and
  • Bellman Equations

TEXT MINING

  • Introduction to Text Mining concepts
  • Finding patterns in text : text mining , text as
  • a graph Natural Language Processing (NLP)
  • Sentiment Analysis with R Word Cloud
  • analysis using R
  • Application of Social media analytics
  • Collecting twitter data with twitter API
  • Feature engineering with text data
  • Fine tuning the models using hyper
  • parameters, grid search, piping etc.
  • Case Study


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You can earn up to 15,000 to 40,000/- per month in the beginning. The salary will vary upon your skill sets. It may go up to in Lacs if you hold that level of skill set

Yes, we do provide 100% job placements after completion of any course.

There is no such eligibility area required for a digital marketing course.

As per our records almost all the candidates got the job or promotions respectively within one month after they completed the course. Through our course you can explore three-way opportunities as you can simultaneously do your regular job and work as a freelancer side by side and also can earn money through affiliate marketing.

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