Artificial Intelligence

Artificial Intelligence Training in Jaipur

AI is any technique, code or algorithm that enables machines to develop, demonstrate and mimic human cognitive behavior or intelligence and hence the name “Artificial Intelligence”. Some of the most successful applications of AI around us can be seen in Robotics, Computer Vision, Virtual Reality, Speech Recognition, Automation, Gaming and so on…

Artificial Intelligence is constantly pushing the boundaries of what machines are capable of. The Main purpose of training real time smart machine is to use their speed and capability. Most importantly machine can think and perform task like humans. By this course student will be able to design and develop an advance AI System.

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 15000/-+ 18% Tax =INR 17700/-
Duration:45 Days

Course Details


 

Artificial Intelligence
WeekTOPIC
1

Introduction of Artificial Intelligence
History of Artificial Intelligence
Why do we need Artificial Intelligence
Applications of Artificial Intelligence
Future scope of Artificial Intelligence
Difference between Machine Learning and Deep Learning
Rise of Deep Learning
Types of Machine Learning
Classification and Regression
Machine Learning Libraries


Projects-
1. Classify Cancer Disease using KNN classifier
2. Classify Banknote using Decision Tree Classifier
3. House Price Prediction with Regression

2

What is Neural Net
Understanding the concept of Neural Net
Understanding Backpropagation Algorithm
Understanding Gradient Descent Algorithm

  • Gradients
  • Learning Rate
  • Gradient Clipping
  • Local minima
  • Global minima
  • Batches
  • Epochs
  • Steps per epoch

What is Cost / Objective / Loss function
Understanding Feed Forward Neural Nets

Project
Wine Classification using Neural Networks in Numpy

3

What is Convolutional Neural Network
Where do we use Convolutional Neural Network
Understanding Convolutional Neural Network

  • Batch Normalization
  • Separable Convolution
  • Depthwise Convolution
  • Fully Connected Layers
  • Deconvolution
  • Max Pooling
  • Min Pooling
  • Global Average Pooling

What is Recurrent Neural Network
Where do we use Recurrent Neural Network
Types of Recurrent Neural Network

  • Long Short Term Memory (LSTM)
  • Gated Recurrent Unit (GRU)

Tokenization in Natural Language Processing
Lemmatization in Natural Language Processing
Stemming in Natural Language Processing


Project
5.Classify Handwritten digits using Convolutional Neural Network in Numpy
Generating Text using LSTM in Numpy

4

Talking about Deep Learning Frameworks
Basics of Tensorflow/Keras

  • Eager Tensors in Tensorflow
  • Tensorflow Dataset
  • Tfrecords in Tensorflow Dataset
  • Loading different types of data in Tensorflow Dataset
  • Data Augmentation in Tensorflow Dataset
  • Optimizers in Tensorflow
  • Learning Rate Scheduling in Tensorflow

Understanding the workflow of Tensorflow
Pros and Cons of Tensorflow
Basics of Pytorch

  • Torch tensors
  • Torch nn module
  • Data Loading in Pytorch
  • Backpropagation in Pytorch
  • Optimizers in Pytorch
  • Learning Rate Scheduling in Pytorch
  • Data Augmentation in Pytorch

Understanding the workflow of Pytorch

  • Dynamic Graphs
  • Autograd Variables
  • Cuda Tensors

Pros and Cons of Pytorch
Visualize Learning through Tensorboard
Generative Adversarial Networks

  • Discriminator
  • Generator


Project
7.Fashion product Image Classification in Tensorflow 2.0 and Pytorch
8.IMDB Movie Review Sentiment Analysis in Tensorflow 2.0 and Pytorch
9.Artistic Style Transfer in Tensorflow 2.0 and Pytorch
Generate Faces through StyleGAN in Tensorflow 2.0 and Pytorch

5

What is Reinforcement Learning
Why do we need Reinforcement Learning
Where do we use Reinforcement Learning
Applications of Reinforcement Learning
Basics of Reinforcement Learning
Model-based Reinforcement Learning
Policy-based Reinforcement Learning
Exploitation and Exploration in Reinforcement Learning
Markov Decision Process
Deep Q-Learning Algorithm in Reinforcement Learning
Dual Deep Q-Learning in Reinforcement Learning
Experience Replay in Reinforcement Learning
Deep Reinforcement Learning Frameworks

  • OpenAI Gym
  • Google Dopamine

 
Project
11.Play Mountain Car with Reinforcement Learning
12.Build a Taxi Driving Agent with Reinforcement Learning
13.Stock Price Prediction with Reinforcement Learning

6

Transfer Learning
Ensemble Learning
Hyperparameters Tuning
Knowledge Distillation in Deep Learning
Underfitting and Overfitting
Oversampling and Undersampling
Mixed Precision Training
Neural Architecture Search
Weights Pruning and Quantization

 
Project
14.Train YoloV3 to detect custom objects
15.Build AutoML network which automatically develop neural architecture based on dataset
Optimize and Deploy Human Pose Estimation model on mobile devices

PRE-REQUISITIES- Student must have sufficient knowledge of the below topics in
order to learn Artificial Intelligence.

– Basics of Python
– Basics of Numpy
– Basics of Pandas
– Basics of Matplotlib
– Basics of OpenCV
– Basics of Keras
– Machine Learning Algorithms

  • K-Nearest Neighbors
  • Naive Bayes Classifier
  • Regression
  • Support Vector Machines

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.
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 15000/-+ 18% Tax =INR 17700/-
Duration:45 Days

Course Details


 

Artificial Intelligence
WeekTOPIC
1

Introduction of Artificial Intelligence
History of Artificial Intelligence
Why do we need Artificial Intelligence
Applications of Artificial Intelligence
Future scope of Artificial Intelligence
Difference between Machine Learning and Deep Learning
Rise of Deep Learning
Types of Machine Learning
Classification and Regression
Machine Learning Libraries


Projects-
1. Classify Cancer Disease using KNN classifier
2. Classify Banknote using Decision Tree Classifier
3. House Price Prediction with Regression

2

What is Neural Net
Understanding the concept of Neural Net
Understanding Backpropagation Algorithm
Understanding Gradient Descent Algorithm

  • Gradients
  • Learning Rate
  • Gradient Clipping
  • Local minima
  • Global minima
  • Batches
  • Epochs
  • Steps per epoch

What is Cost / Objective / Loss function
Understanding Feed Forward Neural Nets

Project
Wine Classification using Neural Networks in Numpy

3

What is Convolutional Neural Network
Where do we use Convolutional Neural Network
Understanding Convolutional Neural Network

  • Batch Normalization
  • Separable Convolution
  • Depthwise Convolution
  • Fully Connected Layers
  • Deconvolution
  • Max Pooling
  • Min Pooling
  • Global Average Pooling

What is Recurrent Neural Network
Where do we use Recurrent Neural Network
Types of Recurrent Neural Network

  • Long Short Term Memory (LSTM)
  • Gated Recurrent Unit (GRU)

Tokenization in Natural Language Processing
Lemmatization in Natural Language Processing
Stemming in Natural Language Processing


Project
5.Classify Handwritten digits using Convolutional Neural Network in Numpy
Generating Text using LSTM in Numpy

4

Talking about Deep Learning Frameworks
Basics of Tensorflow/Keras

  • Eager Tensors in Tensorflow
  • Tensorflow Dataset
  • Tfrecords in Tensorflow Dataset
  • Loading different types of data in Tensorflow Dataset
  • Data Augmentation in Tensorflow Dataset
  • Optimizers in Tensorflow
  • Learning Rate Scheduling in Tensorflow

Understanding the workflow of Tensorflow
Pros and Cons of Tensorflow
Basics of Pytorch

  • Torch tensors
  • Torch nn module
  • Data Loading in Pytorch
  • Backpropagation in Pytorch
  • Optimizers in Pytorch
  • Learning Rate Scheduling in Pytorch
  • Data Augmentation in Pytorch

Understanding the workflow of Pytorch

  • Dynamic Graphs
  • Autograd Variables
  • Cuda Tensors

Pros and Cons of Pytorch
Visualize Learning through Tensorboard
Generative Adversarial Networks

  • Discriminator
  • Generator


Project
7.Fashion product Image Classification in Tensorflow 2.0 and Pytorch
8.IMDB Movie Review Sentiment Analysis in Tensorflow 2.0 and Pytorch
9.Artistic Style Transfer in Tensorflow 2.0 and Pytorch
Generate Faces through StyleGAN in Tensorflow 2.0 and Pytorch

5

What is Reinforcement Learning
Why do we need Reinforcement Learning
Where do we use Reinforcement Learning
Applications of Reinforcement Learning
Basics of Reinforcement Learning
Model-based Reinforcement Learning
Policy-based Reinforcement Learning
Exploitation and Exploration in Reinforcement Learning
Markov Decision Process
Deep Q-Learning Algorithm in Reinforcement Learning
Dual Deep Q-Learning in Reinforcement Learning
Experience Replay in Reinforcement Learning
Deep Reinforcement Learning Frameworks

  • OpenAI Gym
  • Google Dopamine

 
Project
11.Play Mountain Car with Reinforcement Learning
12.Build a Taxi Driving Agent with Reinforcement Learning
13.Stock Price Prediction with Reinforcement Learning

6

Transfer Learning
Ensemble Learning
Hyperparameters Tuning
Knowledge Distillation in Deep Learning
Underfitting and Overfitting
Oversampling and Undersampling
Mixed Precision Training
Neural Architecture Search
Weights Pruning and Quantization

 
Project
14.Train YoloV3 to detect custom objects
15.Build AutoML network which automatically develop neural architecture based on dataset
Optimize and Deploy Human Pose Estimation model on mobile devices

Highlights

PRE-REQUISITIES- Student must have sufficient knowledge of the below topics in
order to learn Artificial Intelligence.

– Basics of Python
– Basics of Numpy
– Basics of Pandas
– Basics of Matplotlib
– Basics of OpenCV
– Basics of Keras
– Machine Learning Algorithms

  • K-Nearest Neighbors
  • Naive Bayes Classifier
  • Regression
  • Support Vector Machines
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.
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