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.

(A.I) Deep Learning Specialization
- Course Overview
- program highlights
- Pre Requisites
- Projects
- Career Centre
- Tools Covered
- Syllabus
- FAQ
Why Choose Artificial Intelligence Foundation Program?
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...!
Why Choose Artificial Intelligence Foundation Program?
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...!
Tool Covered
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
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.