(A.I) Deep Learning Specialization

This course by Hatigen is designed to help you learn the fundamentals of Deep Learning. It will make you familiar with the concepts of Deep Learning, Convolutional neural networks, and the effectiveness of Deep Learning. Be part of a rapidly growing field in Data Science. There’s no better time than now to get started with neural networks.

  • Course Overview
  • program highlights
  • Pre Requisites
  • Projects
  • Career Centre
  • Tools Covered
  • Syllabus
  • FAQ
 

 Program Highlights 

 

Why Choose Artificial Intelligence Foundation Program?

 

 
Interactive learning anywhere

Attend online classes led by our top-notch faculty from anywhere in the world. Ask questions, engage with your peers.

 

 
Project Based Education

Apply data analysis techniques to solve real-world problems & build machine learning models to solve industry grade data problems

 

 
Specialize through our electives

Specialize from a variety of electives including Advanced Machine Learning, Data Analytics with R, Deep Learning etc.

 

 
Industry Focus

Choose projects from Ecommerce, BFSI, Telecom, Retail & become a domain specialist in the application of data science & machine learning.

 

 Projects 

Real world datasets from companies like Nike, Yelp, Amazon, Netflix etc. are provided to our students

 

Mercedes-Benz Greener Manufacturing time

 

The dataset contains 386 variables & 4210 observations of mercedes manufacturing data

 

Wine Quality data analysis

 

The dataset contains 12 variables and over 1500 observations on wine quality

 

Detect diabeties in patients

 

The dataset contains 9 variables and 769 observations on suspected patients

 

 

 Career Centre 

Exclusive Interview Preparation Guides, Career Support, Placement Opportunity and many more...!

 

Career Booster

Interview Preparation Guides,Extra sessions on cutting edge technologies

 

Real World Projects

Integrating real world projects to make your resume world class

 

Workshops

Exclusive Resume Workshop session by an expert.

 

Placement Opportunity

Post assessment, we provide jobs and internships to qualified students In Tech Mahindra*

 

 

 Program Highlights 

 

Why Choose Artificial Intelligence Foundation Program?

 

Interactive learning anywhere

Attend online classes led by our top-notch faculty from anywhere in the world. Ask questions, engage with your peers.

 

Project Based Education

Apply data analysis techniques to solve real-world problems & build machine learning models to solve industry grade data problems

 

Specialize through our electives

Specialize from a variety of electives including Advanced Machine Learning, Data Analytics with R, Deep Learning etc.

 

Industry Focus

Choose projects from Ecommerce, BFSI, Telecom, Retail & become a domain specialist in the application of data science & machine learning.

 

 Pre Requisites 

Learners taking the Deep Learning AI online/Classroom training course must be from a technical background with an understanding of Linux fundamentals, Python fundamentals, and Statistical mathematics fundamentals.

 

 

 Projects 

Real world datasets from companies like Nike, Yelp, Amazon, Netflix etc. are provided to our students

 

Mercedes-Benz Greener Manufacturing time

 

The dataset contains 386 variables & 4210 observations of mercedes manufacturing data

 

Wine Quality data analysis

 

The dataset contains 12 variables and over 1500 observations on wine quality

 

Detect diabeties in patients

 

The dataset contains 9 variables and 769 observations on suspected patients

 

 

 

 Career Centre 

Exclusive Interview Preparation Guides, Career Support, Placement Opportunity and many more...!

 

Career Booster

Interview Preparation Guides,Extra sessions on cutting edge technologies

 

Real World Projects

Integrating real world projects to make your resume world class

 

Workshops

Exclusive Resume Workshop session by an expert.

 

Placement Opportunity

Post assessment, we provide jobs and internships to qualified students In Tech Mahindra*

 

 

 Tool Covered 

 

 Syllabus 

Applied Data Science with Python & Basics of Python

Weeks ( 1 - 9 )

Week 1

Module 01: Introduction to Data Science

Module 02: Introduction to Python

Week 2

Module 03: Descriptive statistics and Probability Distributions

Module 04: Important Packages in Data Science (Numpy and Pandas)

Module 05: Charting Fundamentals with Matplolib and Seaborn

Week 3

Module 06: Step into the world of Data Science

Week 4

Module 07: Introduction to Machine Learning

Module 08: Linear and Logistic Regression

Week 5

Module 9: Exploratory Data Analysis: Data Visualisation

Module 10: Exploratory Data Analysis: Case Study

Week 6

Module 11: Boosting

Week 7

Module 12: Support Vector Machine

Week 8

Module 13: Stacking

Week 9

Module 14: Unsupervised learning (Anomaly Detection)

Module 15: Research Methodology in Machine Learning

Additional Machine Learning Concepts

Weeks ( 10 - 12 )

Week 10

Module 16: PCA and LDA

Module 17: KNN

Week 11

Module 18: Kmeans Clustering

Module 19: Market Basket Analysis

Week 12

Module 20: Recommender Systems

Basics of Deep Learning

Weeks ( 13 - 15 )

Week 13

Module 21: Introduction to Deep Learning

Week 14

Module 22: Basics of tensorflow programming

Week 15

Module 23: Introduction to Neural Networks

Natural Language Processing

Weeks ( 16 - 21 )

Week 16

Module 24: Introduction to Spacy Toolkit - it's Data Structures & Models

Module 25: Basic Text Classification Model

Week 17

Module 26: Word Vectors & Representations

Week 18

Module 27: RNN & CNN in Text Classification

Week 19

Module 28: Standard Text Problems - Classification, Entity Prediction, Sentiment Analysis

Module 29: Transformer Based Text Models - Elmo, GPT2 & Bert

Week 20

Module 30: Standard Text Problems - Classification, Entity Prediction, Sentiment Analysis

Week 21

Module 31: NLP Production Grade Use case

 

 FAQ 

Where and when do the classes takes place?

All the courses are instructor-led and take place online. The online interface lets you and the faculty have a two-way interaction. It’s as good as sitting in a physical classroom.

All classes take place over the weekends in the mornings. There’ll be one class of 2 to 2.5 hours on Saturdays and Sundays each. This means that you can now acquire in-demand skills without compromising on your schedule.

Can i watch recording of the trail sections before enrolling?

Yes, the recordings of the trial classes are uploaded.

What is the benefit of taking online instructor-led courses?

In physical classrooms, students generally feel hesitant to ask questions. If you miss any class or didn’t understand some concepts, you can’t go through the class again. However, in online courses, it’s possible to do that. We share the recordings of all our classes after each class with the student. Also, there’s no hassle of long distance commuting and disrupting your schedule.

what kind of projects will i be working on?

We believe that unless you implement the concepts studied in the classes, you are unable to join the dots and hence can’t see the entire picture. Our capstone projects let you apply the learned concepts to real-world data sets. You’ll be working on real-time data-sets (which can run in 100s of MBs or possibly in GBs!) which you get to choose from a variety of domains such as retail, finance, social media, healthcare, etc. These datasets have been curated from top sources such as World Bank, US Health Department, Carnegie Mellon, Stanford and many more.

Where & how will i practice?

You’ll get access to our virtual computing lab through the login credentials provided to you. The virtual machines will enable you to work on “Big Data” sets for your projects and practice hands-on too.

Do i get a certificate of completion or certification?

We provide certification of completion to students who attend at least 70% of the classes. After the course ends, we conduct a certification exam that evaluates them on the skills they have learnt. Certification from Hatigen is provided to only those who clear the exam. The exam is purely case-based and not even a single theory question is asked.

Do you provide career assistance?

We provide career workshops and industry immersion sessions to help you become ready for roles you are aspiring for. We also help you in resume review and interview preparation. If you diligently follow our advice, you should start getting interview calls as soon as you finish the course.

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