what you will learn

hands-on machine learning & deep learning


intro

Course Name : AI Foundation

The beginner's course


In this course you’ll learn about Data Visualization Techniques, Data Handling along with its cleaning, containing large datasets, and Mathematical as well as Statistical concepts used in Machine Learning and Deep Learning.
It will prepare you to start your AI journey and polish your python programming skills.

Mode : Classroom
Course Fees : INR 15,000 + GST



Level : Beginner
Language : English
Software/Hardware required : At least I5 laptop with 4 GB RAM
How to Enroll : Score at least 33% in the Enrollment Test
Total course duration : 24 hours | 16 hours of Training Sessions | 8 hours of Practical Sessions

●   Movie Database Analysis
●   CricInfo style cricket stats
●   Playing with files and classes
●   Mathematical Problems
●   Healthcare Data Search

●   Basic knowledge of any Programming Language
●   Basic Knowledge of Statistics, Probability, Matrices and Calculus
●   Pass Enrollment test - 1 ( JGET - 1)

COURSEWORK -
●   Each course is like an interactive textbook, featuring classroom sessions, quizzes and projects.

PRACTICALS -
●   There will be a lab session of 2 hours once in a week on a certain week day apart from the classes where you will be solving the assignments.

TESTS -
There are 2 tests throughout the Foundation course:
●  Enrollment Test
●  Assessment Test after the completion of Foundation Course

HELP FROM PEERS & TRAINERS -
●  Connect with our trainers and other learners with their debate ideas, discuss course material, and get help to master the concepts.

CERTIFICATE -
●  You will earn an official recognition of your work by getting certified by Jazari Research Institute of Artificial Intelligence after successful completion of the training.

PLACEMENT ASSISTANCE -
●  After the completion of the Foundation Course you will be prepared for interviews and also for project communication. We will arrange some call for interview in ongoing recruitments.

MR. SIDDHARTH SHROTRIYA
Lead Trainer at Jazari

●  Author of two books on Artificial Intelligence.
●  14+ research papers globally studying NLP, Spatial configurations, Neural Networks, continuous image processing and video analytics.
●  20+ successful industrial projects on Machine and Deep Learning for Humanoids and rescue mission robots.
●  Over 5 years of experience teaching Machine Learning and Deep Learning to both college students and corporate employees.
●  Recipient of the Google Researcher award for publishing over 25 international articles.

1. How do I know if this course is right for me? +

You can attend Course demos and workshops. It can be helpful to understand if it fulfills your aspects. You can also call and ask to speak to an admission representative who can clarify additional requirements and expectations.

2. Who is this course for? +

This program is intended for beginners who are interested in starting with an AI based career or polish their Python Programming.

3. Why should I opt for this course? +

Learning Artificial Intelligence gives an edge to professionals from all fields, in order to succeed within an extremely competitive job market. AI also provides a framework and platform for entrepreneurship and successful launch of industry ideas.

4. What will I get if I enrol for this course? +

1. Access to LMS
2. Certificate - both physical and online which can be verified
3. Exclusive access to our premium hardware
4. 1 hr consultation after course completion for soft skill and interview skills from our counsellor
5. Access to our facilities and trainer during week-days
6. Full time access to the Q&A section of the forum

5. When will I have access to Learning Management System? +

Throughout the duration of the course you will be accessible to assignments and extra study materials, afterwards you can have the course material downloaded and revise whenever you require.

6. What if I need additional time to complete the course? +

You can stay after the class gets over and ask your queries, and if you need more time then you can come individually on any week day to ask your queries from the trainers.

7. How will I be graded? +

Assessment of The course will be determined by the course facilitator. Participants must submit all assigned activities. Participants will be asked to post activities and reflections weekly. It is expected that participants post on time in order to prepare for subsequent learning.

8. Is there any financial aid? +

Scholarships are available for those students who have a good educational record, are highly proficient in any programming language, and highly meritorious who achieve over 70 percent on our JGET(JAZARI General Eligibility Test).

9. What makes us better than others? +

Friendly and community supported environment with a practical approach so participants can easily understand complex concepts.

10. How do I pay the course fees? +

We support multiple payment options online /offline. Choose an option that suits you the most.

11. Is it mandatory to come for lab session? +

It's an optional session but preferred for practicing assignments and other technical concepts of the course.

12. Will you provide any books, CDs, DVDs, or PDF files?+

All learning materials and codes are available online(LMS) for free download during the duration of the course. Optional paper handouts are also available for each session if requested for.

Apply Now

intro

Course Name : AI Advanced

The advanced foundation with machine learning course


In this course you’ll learn about Python for Data Science and Machine Learning. Python includes Data Visualization, mathematical and statistical concepts used in Machine Learning and Deep Learning, along with Data handling and cleaning, consisting large datasets.

In the Machine Learning program you will be trained to develop new ML models by combining existing models. Applications and common algorithms used in Machine Learning and implementation of advanced Machine Learning models, including prediction and classification. You will also learn a visual approach to understand ML and analysis. Machine Learning is extensively used in financial services, retail, and healthcare.
By the end of this course you will be equivalent to a Machine Learning Engineer.

Mode : Classroom
Course Fees : INR 50,000 + GST

Level : Intermediate
Language : English
Software/Hardware required : At least I5 laptop with 4 GB RAM
How to Enroll : Score at least 50% in the Enrollment Test
How to Pass : Must have aggregate at least 3.3 GP out of 10 throughout the course
Total course duration : 72 hours | 48 hours of Training Sessions | 24 hours of Practical Sessions

Session 1:
Overview of the course & Setting up the environment, Python Tools, Data types and Variables

Session 2:
Python Function , Loop ,Class and file Handling

Session 3:
Class Inheritance, Exception Handling and Multithreading

Session 4:
Numerical Analysis using Numpy

Session 5:
Data visualisation using Matplotlib

Session 6:
Knowledge extraction using Pandas

Session 7:
Linear Algebra, Matrices and few concepts of Calculus

Session 8:
Probability & Distribution Models

Session 9:
Intro to Machine Learning and Partition clustering

Session 10:
Clustering Analysis and its implementations

Session 11:
Hierarchical clustering and model

Session 12:
Linear Regression, the fundamentals of parametric algorithms

Session 13:
Logistic Regression model in Python

Session 14:
Naive Bayes algorithm using the Sklearn python Library

Session 15:
SVM Classifiers

Session 16:
Decision Tree classifier : Learning from Data and its working

Session 17:
Algorithm of Random Forest Classifier

Session 18:
Principal Components Analysis

Session 19:
SVD and LDA

Session 20:
Project 1

Session 21:
Project 2

Session 22:
Project 3

Session 23:
Project 4

Session 24:
Final Test

●   Recommendation System
●   Stock Price Prediction
●   Healthcare: Test based Disease Prediction
●   Twitter Feed Analysis
●   Search Engine Optimizer
●   Customer Segmentation
●   Target Marketing

●   Basic knowledge of any Programming Language
●   Decent Knowledge of Statistics, Probability, and Data Analysis
●   Pass Enrollment test - 1 ( JGET - 1)

COURSEWORK -
●   Each course is like an interactive textbook, featuring classroom sessions, quizzes and projects.

PRACTICALS -
●   There will be a lab session of 2 hours once in a week on a certain week day apart from the classes where you will be solving the assignments.

TESTS -
There are 3 tests throughout the AI Advanced course:
●  Enrollment Test
●  Assessment Test after the completion of AI Foundation Course
●  Assessment Test after the completion of AI Advanced Course

HELP FROM PEERS & TRAINERS -
●  Connect with our trainers and other learners with their debate ideas, discuss course material, and get help to master the concepts.

CERTIFICATE -
●  You will earn an official recognition of your work by getting certified by Jazari Research Institute of Artificial Intelligence after successful completion of the training.

JOB INTERVIEWS -
●  After completion of the AI Advanced Course, JAZARI guarantees at least 3 interviews for you.

PLACEMENT ASSISTANCE -
●  After the completion of the Foundation Course you will be prepared for interviews and also for project communication.

MR. SIDDHARTH SHROTRIYA
Lead Trainer at Jazari

●  Author of two books on Artificial Intelligence.
●  14+ research papers globally studying NLP, Spatial configurations, Neural Networks, continuous image processing and video analytics.
●  20+ successful industrial projects on Machine and Deep Learning for Humanoids and rescue mission robots.
●  Over 5 years of experience teaching Machine Learning and Deep Learning to both college students and corporate employees.
●  Recipient of the Google Researcher award for publishing over 25 international articles.

1. How do I know if this course is right for me? +

You can attend Course demos and workshops. It can be helpful to understand if it fulfills your aspects. You can also call and ask to speak to an admission representative who can clarify additional requirements and expectations.

2. Who is this course for? +

This program is intended for beginners who are interested in starting with an AI based career or polish their Python Programming.

3. Why should I opt for this course? +

Learning Artificial Intelligence gives an edge to professionals from all fields, in order to succeed within an extremely competitive job market. AI also provides a framework and platform for entrepreneurship and successful launch of industry ideas.

4. What will I get if I enrol for this course? +

1. Access to LMS
2. Certificate - both physical and online which can be verified
3. Exclusive access to our premium hardware
4. 1 hr consultation after course completion for soft skill and interview skills from our counsellor
5. Access to our facilities and trainer during week-days
6. Full time access to the Q&A section of the forum

5. When will I have access to Learning Management System? +

Throughout the duration of the course you will be accessible to assignments and extra study materials, afterwards you can have the course material downloaded and revise whenever you require.

6. What if I need additional time to complete the course? +

You can stay after the class gets over and ask your queries, and if you need more time then you can come individually on any week day to ask your queries from the trainers.

7. How will I be graded? +

Assessment of The course will be determined by the course facilitator. Participants must submit all assigned activities. Participants will be asked to post activities and reflections weekly. It is expected that participants post on time in order to prepare for subsequent learning.

8. Is there any financial aid? +

Scholarships are available for those students who have a good educational record, are highly proficient in any programming language, and highly meritorious who achieve over 70 percent on our JGET(JAZARI General Eligibility Test).

9. What makes us better than others? +

Friendly and community supported environment with a practical approach so participants can easily understand complex concepts.

10. How do I pay course fees? +

We support multiple payment options online /offline. Choose an option that suits you the most.

11. What software and versions will I need in this program? +

We’ll teach you how to install all the software required. Virtually any 64-bit operating system with at least 8GB of RAM will be suitable. Udacity does not provide any hardware.

12. What jobs will this program prepare me for?+

This program is designed to learn Machine Learning skills that can augment your current skill-set. It will prepare for jobs titled as Data Analyst in ML, ML Engineer, Data Science in ML etc.

13. Is it mandatory to come for lab session?+

It's an optional session but preferred for practicing assignments and other technical concepts of the course.

14. Will you provide any books, CDs, DVDs, or PDF files?+

All learning materials and codes are available online(LMS) for free download during the duration of the course. Optional paper handouts are also available for each session if requested for.

Apply Now

intro

Course Name : AI Expert

The complete course including machine learning, deep learning and invention zone


In this course you’ll learn about Python for Data Science, Machine Learning, and Deep Learning. Python section includes Data Visualization, mathematical and statistical concepts used in Machine Learning and Deep Learning, along with Data handling and cleaning, consisting large datasets.

In the Machine Learning program you will be trained to develop new ML models by combining existing models. Applications and common algorithms used in Machine Learning and implementation of advanced Machine Learning models, including prediction and classification. You will also learn a visual approach to understand ML and analysis. Machine Learning is extensively used in financial services, retail, and healthcare.

The Deep learning section involves understanding the idea behind neural networks and their working along with neural networks in Natural Language Processing (NLP), Image Processing, Business Problems, Video Processing and Object Recognition. You will learn about various types of neural networks including Convolutional and Recurrent Neural Networks along with their uses. Adversarial Learning and Reinforcement Learning are the examples of Neural Networks.

Last part of the course will be given as an invention platform to students for bringing their own ideas to life using deep learning techniques.

Mode : Classroom
Course Fees : INR 1,25,000 + GST

Level : Expert
Language : English
Software/Hardware required : At least I5 laptop with 4 GB RAM
How to Enroll : Score at least 50% in the Enrollment Test
How to Pass : Must have aggregate at least 3.3 GP out of 10 throughout the course
Total course duration : 144 hours | 96 hours of Training Sessions | 48 hours of Practical Sessions

Session 1:
Overview of the course & Setting up the environment, Python Tools, Data types and Variables

Session 2:
Python Function , Loop ,Class and file Handling

Session 3:
Class Inheritance, Exception Handling and Multithreading

Session 4:
Numerical Analysis using Numpy

Session 5:
Data visualisation using Matplotlib

Session 6:
Knowledge extraction using Pandas

Session 7:
Linear Algebra, Matrices and few concepts of Calculus

Session 8:
Probability & Distribution Models

Session 9:
Intro to Machine Learning and Partition clustering

Session 10:
Clustering Analysis and its implementations

Session 11:
Hierarchical clustering and model

Session 12:
Linear Regression, the fundamentals of parametric algorithms

Session 13:
Logistic Regression model in Python

Session 14:
Naive Bayes algorithm using the Sklearn python Library

Session 15:
SVM Classifiers

Session 16:
Decision Tree classifier : Learning from Data and its working

Session 17:
Algorithm of Random Forest Classifier

Session 18:
Principal Components Analysis

Session 19:
SVD and LDA

Session 20:
Project 1

Session 21:
Project 2

Session 22:
Project 3

Session 23:
Project 4

Session 24:
Midterm Assessment

Session 25:
Intro to AI, Bayesian statistics and Turing Test

Session 26:
Different types of Neural Networks and Activation Functions

Session 27:
Classification using Neural networks

Session 28:
Project 5

Session 29:
Intro to Tensorflow with Linear regression

Session 30:
Project 6 - Part 1

Session 31:
Project 6 - Part 2

Session 32:
Project 7 - Part 1

Session 33:
Project 7 - Part 2

Session 34:
Project 7 - Part 3

Session 35:
Project 8 - Part 1

Session 36:
Project 8 - Part 2

Session 37:
Project 9 - Part 1

Session 38:
Project 9 - Part 2

Session 39:
Project 9 - Part 3

Session 40:
Project 10 - Part 1

Session 41:
Project 10 - Part 2

Session 42:
Project 10 - Part 3

Session 43:
Intro to other DL libraries like Theano, keras and Pytorch

Session 44:
Transfer learning using keras

Session 45:
Approaches to Transfer learning

Session 46:
Custom Project - Part 1

Session 47:
Custom Project - Part 2

Session 48:
Final Assessment

●   Text classification using ANN
●   Finding objects using Tensorflow
●   Facial Recognition Model
●   Sentiment analysis
●   Chatbot design using Neural Nets
●   Content generation for Youtube videos
●   Facial Expression Analysis
●   Image Colorization
●   Human Age Estimation
●   Style Transfer projects
●   Transfer Learning Application
●   Custom project

●   Basic knowledge of any Programming Language
●   Decent Knowledge of Statistics, Probability, and Data Analysis
●   Pass Enrollment test - 1 ( JGET - 1)

COURSEWORK -
●   Each course is like an interactive textbook, featuring classroom sessions, quizzes and projects.

PRACTICALS -
●   There will be a lab session of 2 hours once in a week on a certain week day apart from the classes where you will be solving the assignments.

TESTS -
There are 4 tests throughout the AI Expert course:
●  Enrollment Test
●  Assessment Test after the completion of AI Foundation Course
●  Assessment Test after the completion of AI Advanced Course
●  Assessment Test after the completion of AI Expert Course

HELP FROM PEERS & TRAINERS -
●  Connect with our trainers and other learners with their debate ideas, discuss course material, and get help to master the concepts.

CERTIFICATE -
●  You will earn an official recognition of your work by getting certified by Jazari Research Institute of Artificial Intelligence after successful completion of the training.

JOB INTERVIEWS -
●  After completion of the AI Advanced Course, JAZARI guarantees at least 3 interviews for you.

PLACEMENT ASSISTANCE -
●  After the completion of the Foundation Course you will be prepared for interviews and also for project communication.

MR. SIDDHARTH SHROTRIYA
Lead Trainer at Jazari

●  Author of two books on Artificial Intelligence.
●  14+ research papers globally studying NLP, Spatial configurations, Neural Networks, continuous image processing and video analytics.
●  20+ successful industrial projects on Machine and Deep Learning for Humanoids and rescue mission robots.
●  Over 5 years of experience teaching Machine Learning and Deep Learning to both college students and corporate employees.
●  Recipient of the Google Researcher award for publishing over 25 international articles.

1. How do I know if this course is right for me? +

You can attend Course demos and workshops. It can be helpful to understand if it fulfills your aspects. You can also call and ask to speak to an admission representative who can clarify additional requirements and expectations.

2. Who is this course for? +

This program is intended for beginners who are interested in starting with an AI based career or polish their Python Programming.

3. Why should I opt for this course? +

Learning Artificial Intelligence gives an edge to professionals from all fields, in order to succeed within an extremely competitive job market. AI also provides a framework and platform for entrepreneurship and successful launch of industry ideas.

4. What will I get if I enrol for this course? +

1. Access to LMS
2. Certificate - both physical and online which can be verified
3. Exclusive access to our premium hardware
4. 1 hr consultation after course completion for soft skill and interview skills from our counsellor
5. Access to our facilities and trainer during week-days
6. Full time access to the Q&A section of the forum

5. When will I have access to Learning Management System? +

Throughout the duration of the course you will be accessible to assignments and extra study materials, afterwards you can have the course material downloaded and revise whenever you require.

6. What if I need additional time to complete the course? +

You can stay after the class gets over and ask your queries, and if you need more time then you can come individually on any week day to ask your queries from the trainers.

7. How will I be graded? +

Assessment of The course will be determined by the course facilitator. Participants must submit all assigned activities. Participants will be asked to post activities and reflections weekly. It is expected that participants post on time in order to prepare for subsequent learning.

8. Is there any financial aid? +

Scholarships are available for those students who have a good educational record, are highly proficient in any programming language, and highly meritorious who achieve over 70 percent on our JGET(JAZARI General Eligibility Test).

9. What makes us better than others? +

Friendly and community supported environment with a practical approach so participants can easily understand complex concepts.

10. How do I pay course fees? +

We support multiple payment options online /offline. Choose an option that suits you the most.

11. What software and versions will I need in this program? +

We’ll teach you how to install all the software required. Virtually any 64-bit operating system with at least 8GB of RAM will be suitable. Udacity does not provide any hardware.

12. What jobs will this program prepare me for?+

This program is designed to learn Machine Learning skills that can augment your current skill-set. It will prepare for jobs titled as Data Analyst in ML, ML Engineer, Data Science in ML etc.

13. Is the course theoretical or practical?+

Course will be combination of theoretical and practical sections on each topic. We also provide exposure to our live projects.

14. Is it mandatory to come for lab session?+

It's an optional session but preferred for practicing assignments and other technical concepts of the course.

15. Will you provide any books, CDs, DVDs, or PDF files?+

All learning materials and codes are available online(LMS) for free download during the duration of the course. Optional paper handouts are also available for each session if requested for.

Apply Now

intro

Course Name : AI Machine Learning

The machine learning course for AI excluding foundation


This course covers the full machine learning syllabus excluding the AI Foundation course topics. So this program is for students who already have basic knowledge of AI principles, python for AI, data visualization and cleanup.

In this course you will be trained to develop new ML models by combining existing models. Applications and common algorithms used in Machine Learning and implementation of advanced Machine Learning models, including prediction and classification. You will also learn a visual approach to understand ML and analysis. Machine Learning is extensively used in financial services, retail, and healthcare.

By the end of this course you will be equivalent to a Machine Learning Engineer.

Mode : Classroom
Course Fees : INR 40,000 + GST

Level : Intermediate
Language : English
Software/Hardware required : At least I5 laptop with 4 GB RAM
How to Enroll : Score at least 50% in the Enrollment Test
How to Pass : Must have aggregate at least 3.3 GP out of 10 throughout the course
Total course duration : 48 hours | 32 hours of Training Sessions | 16 hours of Practical Sessions

Session 1:
Intro to Machine Learning and Partition clustering

Session 2:
Clustering Analysis and its implementations

Session 3:
Hierarchical clustering and model

Session 4:
Linear Regression, the fundamentals of parametric algorithms

Session 5:
Logistic Regression model in Python

Session 6:
Naive Bayes algorithm using the Sklearn python Library

Session 7:
SVM Classifiers

Session 8:
Decision Tree classifier : Learning from Data and its working

Session 9:
Algorithm of Random Forest Classifier

Session 10:
Principal Components Analysis

Session 11:
SVD and LDA

Session 12:
Project - 1

Session 13:
Project - 2

Session 14:
Project - 3

Session 15:
Project - 4

Session 16:
Final Test

●   Recommendation System
●   Stock Price Prediction
●   Healthcare: Test based Disease Prediction
●   Twitter Feed Analysis
●   Search Engine Optimizer
●   Customer Segmentation
●   Target Marketing

●   Basic knowledge of any Programming Language
●   Decent Knowledge of Statistics, Probability, and Data Analysis
●   Pass Enrollment test - 1 ( JGET - 1)

COURSEWORK -
●   Each course is like an interactive textbook, featuring classroom sessions, quizzes and projects.

PRACTICALS -
●   There will be a lab session of 2 hours once in a week on a certain week day apart from the classes where you will be solving the assignments.

TESTS -
There are 2 tests throughout the AI Machine Learning course:
●  Enrollment Test (JGET-2)
●  Assessment Test after the completion of the course

HELP FROM PEERS & TRAINERS -
●  Connect with our trainers and other learners with their debate ideas, discuss course material, and get help to master the concepts.

CERTIFICATE -
●  You will earn an official recognition of your work by getting certified by Jazari Research Institute of Artificial Intelligence after successful completion of the training.

JOB INTERVIEWS -
●  After completion of the AI Advanced Course, JAZARI guarantees at least 3 interviews for you.

PLACEMENT ASSISTANCE -
●  After the completion of the Foundation Course you will be prepared for interviews and also for project communication.

MR. SIDDHARTH SHROTRIYA
Lead Trainer at Jazari

●  Author of two books on Artificial Intelligence.
●  14+ research papers globally studying NLP, Spatial configurations, Neural Networks, continuous image processing and video analytics.
●  20+ successful industrial projects on Machine and Deep Learning for Humanoids and rescue mission robots.
●  Over 5 years of experience teaching Machine Learning and Deep Learning to both college students and corporate employees.
●  Recipient of the Google Researcher award for publishing over 25 international articles.

1. How do I know if this course is right for me? +

You can attend Course demos and workshops. It can be helpful to understand if it fulfills your aspects. You can also call and ask to speak to an admission representative who can clarify additional requirements and expectations.

2. Who is this course for? +

This program is intended for beginners who are interested in starting with an AI based career or polish their Python Programming.

3. Why should I opt for this course? +

Learning Artificial Intelligence gives an edge to professionals from all fields, in order to succeed within an extremely competitive job market. AI also provides a framework and platform for entrepreneurship and successful launch of industry ideas.

4. What will I get if I enrol for this course? +

1. Access to LMS
2. Certificate - both physical and online which can be verified
3. Exclusive access to our premium hardware
4. 1 hr consultation after course completion for soft skill and interview skills from our counsellor
5. Access to our facilities and trainer during week-days
6. Full time access to the Q&A section of the forum

5. When will I have access to Learning Management System? +

Throughout the duration of the course you will be accessible to assignments and extra study materials, afterwards you can have the course material downloaded and revise whenever you require.

6. What if I need additional time to complete the course? +

You can stay after the class gets over and ask your queries, and if you need more time then you can come individually on any week day to ask your queries from the trainers.

7. How will I be graded? +

Assessment of The course will be determined by the course facilitator. Participants must submit all assigned activities. Participants will be asked to post activities and reflections weekly. It is expected that participants post on time in order to prepare for subsequent learning.

8. Is there any financial aid? +

Scholarships are available for those students who have a good educational record, are highly proficient in any programming language, and highly meritorious who achieve over 70 percent on our JGET(JAZARI General Eligibility Test).

9. What makes us better than others? +

Friendly and community supported environment with a practical approach so participants can easily understand complex concepts.

10. How do I pay course fees? +

We support multiple payment options online /offline. Choose an option that suits you the most.

11. What software and versions will I need in this program? +

We’ll teach you how to install all the software required. Virtually any 64-bit operating system with at least 8GB of RAM will be suitable. Udacity does not provide any hardware.

12. What jobs will this program prepare me for?+

This program is designed to learn Machine Learning skills that can augment your current skill-set. It will prepare for jobs titled as Data Analyst in ML, ML Engineer, Data Science in ML etc.

13. How this course is different from AI Advance course?+

This course covers the full machine learning syllabus excluding the AI Foundation course topics.

Apply Now

intro

Course Name : AI Deep Learning

The deep learning course


This course covers the full deep learning syllabus excluding the AI Foundation and AI Advanced course topics. So this program is for students who already have basic knowledge of AI principles, python for AI and machine learning algorithms. In this course you will learn different types of Neural Networks and where they are used, including: Convolutional and Recurrent Neural Networks, Q-Learning and Reinforcement Learning. You will understand neural networks in Natural Language Processing, Image Processing, Video Processing, Object Recognition and Consumer Behaviour.

By the end of this course you will be equivalent to a Deep Learning Engineer

Mode : Classroom
Course Fees : INR 75,000 + GST

Level : Expert
Language : English
Software/Hardware required : At least I5 laptop with 4 GB RAM
How to Enroll : Score at least 50% in the Enrollment Test
How to Pass : Must have aggregate at least 3.3 GP out of 10 throughout the course
Total course duration : 72 hours | 48 hours of Training Sessions | 24 hours of Practical Sessions

Session 1:
Intro to AI, Bayesian statistics and Turing Test

Session 2:
Different types of Neural Networks and Activation Functions

Session 3:
Classification using Neural networks

Session 4:
Project 1

Session 5:
Intro to Tensorflow with Linear regression

Session 6:
Project 2 - Part 1

Session 7:
Project 2- Part 2

Session 8:
Project 3 - Part 1

Session 9:
Project 3 - Part 2

Session 10:
Project 3 - Part 3

Session 11:
Project 4 - Part 1

Session 12:
Project 4 - Part 2

Session 13:
Project 5 - Part 1

Session 14:
Project 5 - Part 2


Session 15:
Project 5 - Part 3

Session 16:
Project 6 - Part 1

Session 17:
Project 6 - Part 1

Session 18:
Project 6 - Part 1

Session 19:
Intro to other DL libraries like Theano, keras and Pytorch

Session 20:
Transfer learning using keras

Session 21:
Approaches to Transfer learning

Session 22:
Custome Project 1

Session 23:
Custom Project 2

Session 24:
Final Assessment

●   Text classification using ANN
●   Finding objects using Tensorflow
●   Facial Recognition Model
●   Sentiment analysis
●   Chatbot design using Neural Nets
●   Content generation for Youtube videos
●   Facial Expression Analysis
●   Image Colorization
●   Human Age Estimation
●   Style Transfer projects
●   Transfer Learning Application
●   Custom project

●   Basic knowledge of any Programming Language
●   Decent Knowledge of Statistics, Probability, and Data Analysis
●   Pass Enrollment test - 3 ( JGET - 3)

COURSEWORK -
●   Each course is like an interactive textbook, featuring classroom sessions, quizzes and projects.

PRACTICALS -
●   There will be a lab session of 2 hours once in a week on a certain week day apart from the classes where you will be solving the assignments.

TESTS -
There are 4 tests throughout the AI Expert course:
●  Enrollment Test (JGET - 3)
●  Assessment Test after the completion of AI Deep Learning Course

HELP FROM PEERS & TRAINERS -
●  Connect with our trainers and other learners with their debate ideas, discuss course material, and get help to master the concepts.

CERTIFICATE -
●  You will earn an official recognition of your work by getting certified by Jazari Research Institute of Artificial Intelligence after successful completion of the training.

JOB INTERVIEWS -
●  After completion of the AI Advanced Course, JAZARI guarantees at least 3 interviews for you.

PLACEMENT ASSISTANCE -
●  After the completion of the Foundation Course you will be prepared for interviews and also for project communication.

MR. SIDDHARTH SHROTRIYA
Lead Trainer at Jazari

●  Author of two books on Artificial Intelligence.
●  14+ research papers globally studying NLP, Spatial configurations, Neural Networks, continuous image processing and video analytics.
●  20+ successful industrial projects on Machine and Deep Learning for Humanoids and rescue mission robots.
●  Over 5 years of experience teaching Machine Learning and Deep Learning to both college students and corporate employees.
●  Recipient of the Google Researcher award for publishing over 25 international articles.

1. How do I know if this course is right for me? +

You can attend Course demos and workshops. It can be helpful to understand if it fulfills your aspects. You can also call and ask to speak to an admission representative who can clarify additional requirements and expectations.

2. Who is this course for? +

This program is intended for beginners who are interested in starting with an AI based career or polish their Python Programming.

3. Why should I opt for this course? +

Learning Artificial Intelligence gives an edge to professionals from all fields, in order to succeed within an extremely competitive job market. AI also provides a framework and platform for entrepreneurship and successful launch of industry ideas.

4. What will I get if I enrol for this course? +

1. Access to LMS
2. Certificate - both physical and online which can be verified
3. Exclusive access to our premium hardware
4. 1 hr consultation after course completion for soft skill and interview skills from our counsellor
5. Access to our facilities and trainer during week-days
6. Full time access to the Q&A section of the forum

5. When will I have access to Learning Management System? +

Throughout the duration of the course you will be accessible to assignments and extra study materials, afterwards you can have the course material downloaded and revise whenever you require.

6. What if I need additional time to complete the course? +

You can stay after the class gets over and ask your queries, and if you need more time then you can come individually on any week day to ask your queries from the trainers.

7. How will I be graded? +

Assessment of The course will be determined by the course facilitator. Participants must submit all assigned activities. Participants will be asked to post activities and reflections weekly. It is expected that participants post on time in order to prepare for subsequent learning.

8. Is there any financial aid? +

Scholarships are available for those students who have a good educational record, are highly proficient in any programming language, and highly meritorious who achieve over 70 percent on our JGET(JAZARI General Eligibility Test).

9. What makes us better than others? +

Friendly and community supported environment with a practical approach so participants can easily understand complex concepts.

10. How do I pay course fees? +

We support multiple payment options online /offline. Choose an option that suits you the most.

11. What software and versions will I need in this program? +

We’ll teach you how to install all the software required. Virtually any 64-bit operating system with at least 8GB of RAM will be suitable. Udacity does not provide any hardware.

12. What jobs will this program prepare me for?+

This program is designed to learn Machine Learning skills that can augment your current skill-set. It will prepare for jobs titled as Data Analyst in ML, ML Engineer, Data Science in ML etc.

13. Is the course theoretical or practical?+

Course will be combination of theoretical and practical sections on each topic. We also provide exposure to our live projects.

14. Is it mandatory to come for lab session?+

It's an optional session but preferred for practicing assignments and other technical concepts of the course.

15. Will you provide any books, CDs, DVDs, or PDF files?+

All learning materials and codes are available online(LMS) for free download during the duration of the course. Optional paper handouts are also available for each session if requested for.

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