Artificial Intelligence Training

Artificial Intelligence

Artificial Intelligence Training in Lucknow

A potter knows to shape the pot so an engineer should know how to use technology & shape the robot by learning new technologies like Artificial Intelligence. TechieNest is providing the greater platform to perform the real time scenario projects by working on multiple projects namely:-

  • Building AI based ChatBots using Tensorflow
  • Handwriting recognition with Neural Networks
  • AI Based Face Detection and Recognition
  • Employee Exit Prediction
  • Weather Prediction for Auto Irrigation System
  • E-commerce Product Recommendation
  • An AI Robo Prototype like Sofia and many more.

Technologies on which you can work: Artificial Neural Network, Regressions, Neural Networks analysis, ANN(Artificial Neural Network), Natural Language Processing (NLP), Naive Bayes Classification, K-means Clustering, Decision Trees and Random Forests, Genetic Algorithms, Building Recommender Systems, Web-scraping & many more…Everything we love about civilization is a product of intelligence, so amplifying our human intelligence with artificial intelligence which has the potential of helping civilization flourish like never before – as long as we manage to keep the technology beneficial.

Efforts will turn into sweet fruits if today we are going to water the roots of education.

Start from SIRI to self-driving cars, artificial intelligence (AI) is progressing expeditiously. While science fiction often portrays AI as robots with human-like characteristics, AI can encompass anything from Google’s search algorithms to IBM’s Watson to autonomous weapons.

So let’s accumulate the power of technology & let’s create another World full of automation.

Become the technical brain in the technical world to become Technocrats.

Our Training Program Details

Artificial Intelligence
Course:Artificial Intelligence
Certification By:TechieNest, An ISO 9001:2008 Certified Company
Study Material:Book free to each participant (Soft Copy)
Fee:INR 15,000/-  + Taxes
Duration:45 Days/ 90 Hours

Course Details


 

Artificial Intelligence
DAYTOPICDURATION
Day 1

Artificial Intelligence

  • Introduction to Artificial Intelligence (AI)
  • History of AI
  • Importance and other Philosophies about AI
  • General Approaches and Goals of AI
  • Components of AI
  • Working Domains/Companies/Products in Current Market
  • Programming Languages Used for AI
  • Python Programming
2 Hours
Day 2

Python programming

  • Basic of python and why python for machine learning
  • Installation of software on different OS.
  • Understanding basic syntax with data types
  • Number, String, List, Tuple, Dictionary
  • Extracting data from a file
  • Committing your code to GIT
2 Hours
Day 3

More about python programming

  • Conditional statement and loops
  • Function and modules
  • File handling
  • Creating own modules/library
  • Web scraping with urllib2
  • Grabbing system information from Popen and os library
  • Scanning Network IP & MAC address with loop
2 Hours
Day 4

Libraries Used

  • Introduction to Numpy & Matplotlib
  • Managing arrary with numpy
  • Multidimensional array with numpy
  • Unit matrix handling & creating
  • Deleting indexes from matrix
  • Deep dive with Matplotlib
  • Drawing general purpose graphs
  • Graphs with mathematics
2 Hours
Day 5

 Machine learning techniques

  • Types of learning
  • Advice of applying machine learning
  • Machine learning System Design
  • Decision Tree Classifier
  • Training your machine with real time datasets
  • Deep dive with UCI
  • Lab session for loading data from different APIs
  • Detecting data from numpy and converting for training and
  • testing data
  • Exercise with ML and others framework
2 Hours
Day 6
  • Introduction to iris datasets
  • Understanding iris datasets
  • Modifying and loading with scikit-learn
  • Separating data with numpy
  • Training classifier
  • Algo data process view
  • Decision Tree understanding
2 Hours
Day 7

Linear Regression

  • Using House Price Prediction
  • Simple Linear Regression
  • Polynomial Linear Regression
  • Cost Function of Linear Regression
  • Understanding linear regression using matrix
2 Hours
Day 8

Logistic Regression

  • Using Iris dataset to understand logistic regression
  • Concept of linearly separable data
  • Cost Function & Mathematical Foundation
  • Using Iris dataset to understand logistic regression
  • Concept of linearly separable data
  • Cost Function & Mathematical Foundation
2 Hours
Day 9

Neural Networks analysis

  • Introduction to Neural Network
  • Understanding neural networks
  • Data learning and machine predictions
  • Neural networks real understanding
  • Neural network implementation with real datasets
  • Natural Language Processing
  • Tokenizing text data
  • Converting words to their base forms using stemming
  • Converting words to their base forms using lemmatization
  • Dividing text data into chunks
  • Extracting the frequency of terms using a Bag of Words model
  • Building a category predictor
  • Constructing a gender identifier
  • Building a sentiment analyzer
  • Topic modeling using Latent Dirichlet Allocation
2 Hours
Day 10

More About ANN

  • Perception
  • Back Propagation/Training Algo’s
  • Convolutional & Recurrent and Artificial Neural Networks
  • Deep Neural Network
2 Hours
Day 11

Natural Language Processing (NLP)

  • Introduction to NLP
  • Word Representation Model
  • Sentence Classification
  • Language Modeling
2 Hours
Day 12

Project:- Building AI based ChatBots using Tensorflow

2 Hours
Day 13

Feature Engineering

  • Categorical Features
  • Text Features
  • Image Features
  • Derived Features
  • Imputation of Missing Data
  • Feature Pipelines – Transformer & Estimator
2 Hours
Day 14

Naive Bayes Classification

  • Bayesian Classification
  • Gaussian Naive Bayes
  • Multinomial Naive Bayes
  • When to Use Naive Bayes
  • Application : Identify category from text
2 Hours
 Day 15

K-Means Clustering

  • Introducing k-Means
  • Understanding cost function for unsupervised algorithms
  • Elbow rule to decide number of clusters
  • Application : Image compression
  • Application : Detection of number of characters in arabic
 2 Hours
 Day 16

Decision Trees and Random Forests

  • Understaning Decision trees
  • Printing tree
  • Motivating Random Forests: Decision Trees
  • Ensembles of Estimators: Random Forests
  • Random Forest Regression
  • Application: Random Forest for Classifying Digits
  • Other Boosting techniques – AdaBoost, Gradient Tree Boosting
 2 Hours
 Day 17

Genetic Algorithms

  • Fundamental concepts in genetic algorithms
  • Generating a bit pattern with predefined parameters
  • Visualising the evolution
  • Solving the symbol regression problem
  • Building an intelligent robot controller
 2 Hours
 Day 18

Project : Handwriting recognition with Neural Networks

 2 Hours
 Day 19

Building Recommender Systems

  • Extracting the nearest neighbors
  • Building a K-Nearest Neighbors classifier
  • Computing similarity scores
  • Finding similar users using collaborative filtering
  • Building a movie recommendation system
 2 Hours
 Day 20

Web-scraping

  • Understanding BeautifulSoup
  • Scraping for text, images
  • Searching Links,Data
  • web data extraction: extracting data from websites.
 2 Hours
 Day 21

Image Processing and ML

  • Introduction to Image Processing and
  • How image search is going to work
  • Taking pictures with python for image processing
  • Loading and registering images
  • Object detection
 2 Hours
 Day 22

Project: AI Based Face Detection and Recognition

 2 Hours
 Day 23

Project: Employee Exit Prediction

 2 Hours
 Day 24

Project: Whether Prediction for Auto Irrigation System

 2 Hours
 Day 25

Project: Ecommerce Product Recommendation

 2 Hours
 Day 26

Project: : An AI Robo Prototype Like Sofia

 2 Hours

 

Step 1

Register online for any desired course, duration & location of your training course & obtain a Registration-ID. Registration-ID is a Unique Registration Number which is generated by our system after successful registration for training A student can have multiple IDs for multiple courses & batches. It is displayed while successful registration and it is also mailed to you immediately after registration by our server. if you don’t find it in your mail then, please check your SPAM folder or junk folder of your mail ID.

Step 2

Please deposit your Course fee to any one of our payment gateway/ Bank Account/ paytm.

Payment Gateway link: Pay through PayUmoney

Bank Account Details
A/C Name: TechieNest Pvt. Ltd.
Bank A/C No: 201000689491
IFSC: INDB0000592
Bank Name: Indusind Bank Limited
Address: Malviya Nagar, Jaipur ( Rajasthan)
Paytm Number9251494002

Step 3

Update us regarding your fee payment by sending picture/scan copy of bank receipt to: training@techienest.in and you will receive a confirmation mail on your mail id.

When someone says yes you can do it….it means you can achieve it and when you decide to take an action we come with the surprising offers:

1. Group Discount:

Offer code: TNGD-5
Offer code: TNGD-10
Offer code: TNGD-15

  • If a group size is of: 5 -10 then 5% discount on training
  • 10-20 then 10% discount on training
  • 20 and above then 15% discount on training
2. Referral Offer:

Offer code: TNR3
Offer code: TNR5

  • 3% additional discount to the person who is referring
  • 5% additional discount to the one who is being referred
3. For Former students up to 15% off:

Offer code: TNFS15

  • There will be 15% discount on students who already did training
4. Previous Workshop attended students 5% off:

Offer code: TNPW5

5. 5% additional Discount for Campus Ambassador:

Offer code: TNA5

Certification

All participants will get Certificate from TechieNest Pvt. Ltd. in association with Aavriti’18 IIT Bombay

Why TechieNest

  • Vast experience of having conducted Big Outreach Workshop collaborating with over 300+ colleges in all over India including IIT Bombay, IIT Hyderabad, IIT Bhubaneswar, IIT Jodhpur, IIT Mandi, NIT Raipur, MNIT Jaipur, MANIT Bhopal, NIT Jalandhar, NIT Patna, NIT Srinagar, IIIT Kalyani, BITS Pilani and likewise.
  • Trained more than 20,000 students in the field of EMBEDDED SYSTEMS & ROBOTICS, MATLAB & Machine Vision, Internet of Things, PLC_SCADA, PYTHON, C/C++, Andriod, VLSI & VHDL, JAVA and such top notch courses.
  • Our trainers are efficient in Raspberry pi, Arduino, PLCs, etc. which forms essential hardware in Electronic Industries nowadays.
  • Outreach workshop partner of Sanchaar-Wissenaire’18, IIT Bhubaneswar, 2017-18
  • Zonal workshop partner of Techkriti’18 IIT Kanpur, 2017-2018
  • Outreach workshop partner of Techfest’15 IIT Bombay & Techfest’16 IIT Bombay
  • Zonal workshop partner of Techkriti’17 IIT Kanpur, 2016-2017
  • Outreach workshop & Training partner of nVision’17 IIT Hyderabad, 2016-17
  • Outreach workshop partner of Ignus’17 IIT Jodhpur, 2016-17
  • AIRC’18 (All India Robotics Championship) in association with Techkriti’18 IIT Kanpur.
  • AIRC’17 (All India Robotics Championship) in association with nVision’17 IIT Hyderabad, 2016-17
  • Offering Project Based Training, Projects on Demand, Corporate Projects, Commercial Projects, and Consultancy in Engineering Projects.
    Dedicated 24×7 R&D lab.
  • Trained over 50+ international students in TechieNest Technology Transfer Program 2014-15.
  • TechieNest has Research Engineers having excellent research aptitude, teaching pedagogy who illustrates their finding through practical demos during workshop/training.
  • Manufacturer of Electronic products delivering the same across the country.

Training Kit- will be updated soon

Course
Artificial Intelligence
Course:Artificial Intelligence
Certification By:TechieNest, An ISO 9001:2008 Certified Company
Study Material:Book free to each participant (Soft Copy)
Fee:INR 15,000/-  + Taxes
Duration:45 Days/ 90 Hours

Course Details


 

Artificial Intelligence
DAYTOPICDURATION
Day 1

Artificial Intelligence

  • Introduction to Artificial Intelligence (AI)
  • History of AI
  • Importance and other Philosophies about AI
  • General Approaches and Goals of AI
  • Components of AI
  • Working Domains/Companies/Products in Current Market
  • Programming Languages Used for AI
  • Python Programming
2 Hours
Day 2

Python programming

  • Basic of python and why python for machine learning
  • Installation of software on different OS.
  • Understanding basic syntax with data types
  • Number, String, List, Tuple, Dictionary
  • Extracting data from a file
  • Committing your code to GIT
2 Hours
Day 3

More about python programming

  • Conditional statement and loops
  • Function and modules
  • File handling
  • Creating own modules/library
  • Web scraping with urllib2
  • Grabbing system information from Popen and os library
  • Scanning Network IP & MAC address with loop
2 Hours
Day 4

Libraries Used

  • Introduction to Numpy & Matplotlib
  • Managing arrary with numpy
  • Multidimensional array with numpy
  • Unit matrix handling & creating
  • Deleting indexes from matrix
  • Deep dive with Matplotlib
  • Drawing general purpose graphs
  • Graphs with mathematics
2 Hours
Day 5

 Machine learning techniques

  • Types of learning
  • Advice of applying machine learning
  • Machine learning System Design
  • Decision Tree Classifier
  • Training your machine with real time datasets
  • Deep dive with UCI
  • Lab session for loading data from different APIs
  • Detecting data from numpy and converting for training and
  • testing data
  • Exercise with ML and others framework
2 Hours
Day 6
  • Introduction to iris datasets
  • Understanding iris datasets
  • Modifying and loading with scikit-learn
  • Separating data with numpy
  • Training classifier
  • Algo data process view
  • Decision Tree understanding
2 Hours
Day 7

Linear Regression

  • Using House Price Prediction
  • Simple Linear Regression
  • Polynomial Linear Regression
  • Cost Function of Linear Regression
  • Understanding linear regression using matrix
2 Hours
Day 8

Logistic Regression

  • Using Iris dataset to understand logistic regression
  • Concept of linearly separable data
  • Cost Function & Mathematical Foundation
  • Using Iris dataset to understand logistic regression
  • Concept of linearly separable data
  • Cost Function & Mathematical Foundation
2 Hours
Day 9

Neural Networks analysis

  • Introduction to Neural Network
  • Understanding neural networks
  • Data learning and machine predictions
  • Neural networks real understanding
  • Neural network implementation with real datasets
  • Natural Language Processing
  • Tokenizing text data
  • Converting words to their base forms using stemming
  • Converting words to their base forms using lemmatization
  • Dividing text data into chunks
  • Extracting the frequency of terms using a Bag of Words model
  • Building a category predictor
  • Constructing a gender identifier
  • Building a sentiment analyzer
  • Topic modeling using Latent Dirichlet Allocation
2 Hours
Day 10

More About ANN

  • Perception
  • Back Propagation/Training Algo’s
  • Convolutional & Recurrent and Artificial Neural Networks
  • Deep Neural Network
2 Hours
Day 11

Natural Language Processing (NLP)

  • Introduction to NLP
  • Word Representation Model
  • Sentence Classification
  • Language Modeling
2 Hours
Day 12

Project:- Building AI based ChatBots using Tensorflow

2 Hours
Day 13

Feature Engineering

  • Categorical Features
  • Text Features
  • Image Features
  • Derived Features
  • Imputation of Missing Data
  • Feature Pipelines – Transformer & Estimator
2 Hours
Day 14

Naive Bayes Classification

  • Bayesian Classification
  • Gaussian Naive Bayes
  • Multinomial Naive Bayes
  • When to Use Naive Bayes
  • Application : Identify category from text
2 Hours
 Day 15

K-Means Clustering

  • Introducing k-Means
  • Understanding cost function for unsupervised algorithms
  • Elbow rule to decide number of clusters
  • Application : Image compression
  • Application : Detection of number of characters in arabic
 2 Hours
 Day 16

Decision Trees and Random Forests

  • Understaning Decision trees
  • Printing tree
  • Motivating Random Forests: Decision Trees
  • Ensembles of Estimators: Random Forests
  • Random Forest Regression
  • Application: Random Forest for Classifying Digits
  • Other Boosting techniques – AdaBoost, Gradient Tree Boosting
 2 Hours
 Day 17

Genetic Algorithms

  • Fundamental concepts in genetic algorithms
  • Generating a bit pattern with predefined parameters
  • Visualising the evolution
  • Solving the symbol regression problem
  • Building an intelligent robot controller
 2 Hours
 Day 18

Project : Handwriting recognition with Neural Networks

 2 Hours
 Day 19

Building Recommender Systems

  • Extracting the nearest neighbors
  • Building a K-Nearest Neighbors classifier
  • Computing similarity scores
  • Finding similar users using collaborative filtering
  • Building a movie recommendation system
 2 Hours
 Day 20

Web-scraping

  • Understanding BeautifulSoup
  • Scraping for text, images
  • Searching Links,Data
  • web data extraction: extracting data from websites.
 2 Hours
 Day 21

Image Processing and ML

  • Introduction to Image Processing and
  • How image search is going to work
  • Taking pictures with python for image processing
  • Loading and registering images
  • Object detection
 2 Hours
 Day 22

Project: AI Based Face Detection and Recognition

 2 Hours
 Day 23

Project: Employee Exit Prediction

 2 Hours
 Day 24

Project: Whether Prediction for Auto Irrigation System

 2 Hours
 Day 25

Project: Ecommerce Product Recommendation

 2 Hours
 Day 26

Project: : An AI Robo Prototype Like Sofia

 2 Hours

 

How to Enroll

Step 1

Register online for any desired course, duration & location of your training course & obtain a Registration-ID. Registration-ID is a Unique Registration Number which is generated by our system after successful registration for training A student can have multiple IDs for multiple courses & batches. It is displayed while successful registration and it is also mailed to you immediately after registration by our server. if you don’t find it in your mail then, please check your SPAM folder or junk folder of your mail ID.

Step 2

Please deposit your Course fee to any one of our payment gateway/ Bank Account/ paytm.

Payment Gateway link: Pay through PayUmoney

Bank Account Details
A/C Name: TechieNest Pvt. Ltd.
Bank A/C No: 201000689491
IFSC: INDB0000592
Bank Name: Indusind Bank Limited
Address: Malviya Nagar, Jaipur ( Rajasthan)
Paytm Number9251494002

Step 3

Update us regarding your fee payment by sending picture/scan copy of bank receipt to: training@techienest.in and you will receive a confirmation mail on your mail id.

Fee & Discount

When someone says yes you can do it….it means you can achieve it and when you decide to take an action we come with the surprising offers:

1. Group Discount:

Offer code: TNGD-5
Offer code: TNGD-10
Offer code: TNGD-15

  • If a group size is of: 5 -10 then 5% discount on training
  • 10-20 then 10% discount on training
  • 20 and above then 15% discount on training
2. Referral Offer:

Offer code: TNR3
Offer code: TNR5

  • 3% additional discount to the person who is referring
  • 5% additional discount to the one who is being referred
3. For Former students up to 15% off:

Offer code: TNFS15

  • There will be 15% discount on students who already did training
4. Previous Workshop attended students 5% off:

Offer code: TNPW5

5. 5% additional Discount for Campus Ambassador:

Offer code: TNA5

Certification

Certification

All participants will get Certificate from TechieNest Pvt. Ltd. in association with Aavriti’18 IIT Bombay

Why TechieNest

  • Vast experience of having conducted Big Outreach Workshop collaborating with over 300+ colleges in all over India including IIT Bombay, IIT Hyderabad, IIT Bhubaneswar, IIT Jodhpur, IIT Mandi, NIT Raipur, MNIT Jaipur, MANIT Bhopal, NIT Jalandhar, NIT Patna, NIT Srinagar, IIIT Kalyani, BITS Pilani and likewise.
  • Trained more than 20,000 students in the field of EMBEDDED SYSTEMS & ROBOTICS, MATLAB & Machine Vision, Internet of Things, PLC_SCADA, PYTHON, C/C++, Andriod, VLSI & VHDL, JAVA and such top notch courses.
  • Our trainers are efficient in Raspberry pi, Arduino, PLCs, etc. which forms essential hardware in Electronic Industries nowadays.
  • Outreach workshop partner of Sanchaar-Wissenaire’18, IIT Bhubaneswar, 2017-18
  • Zonal workshop partner of Techkriti’18 IIT Kanpur, 2017-2018
  • Outreach workshop partner of Techfest’15 IIT Bombay & Techfest’16 IIT Bombay
  • Zonal workshop partner of Techkriti’17 IIT Kanpur, 2016-2017
  • Outreach workshop & Training partner of nVision’17 IIT Hyderabad, 2016-17
  • Outreach workshop partner of Ignus’17 IIT Jodhpur, 2016-17
  • AIRC’18 (All India Robotics Championship) in association with Techkriti’18 IIT Kanpur.
  • AIRC’17 (All India Robotics Championship) in association with nVision’17 IIT Hyderabad, 2016-17
  • Offering Project Based Training, Projects on Demand, Corporate Projects, Commercial Projects, and Consultancy in Engineering Projects.
    Dedicated 24×7 R&D lab.
  • Trained over 50+ international students in TechieNest Technology Transfer Program 2014-15.
  • TechieNest has Research Engineers having excellent research aptitude, teaching pedagogy who illustrates their finding through practical demos during workshop/training.
  • Manufacturer of Electronic products delivering the same across the country.
Training Kit

Training Kit- will be updated soon

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