Advanced Cyber Security Program

Geeklurn’s Advanced Cyber Security program is professionally mapped to train you for CEH, CSA, CND, CPENT and AWS certification.
  • 140+ hours Live Interactive Sessions with Eminent Cyber Security Expert

  • EC-Council certified training partner

  • Ethical Hacker (CEH) v12 certification from EC-Council is included

  • 1-1 Career counselling with top Industry executives

Advanced Cyber Security Program

Geeklurn’s Advanced Cyber Security Program is professionally mapped to train you for CEH, CSA, CND, AWS.
  • 140+ hours Live Interactive Sessions with Eminent Cyber Security Expert

  • EC-Council certified training partner

  • Ethical Hacker (CEH) v12 certification from EC-Council is included

  • 1-1 Career counselling with top Industry executives

2200+

Alumni Students

Online

Format

6 Months

Program Duration

110+

Hiring Partners

EMI Option

Flexible EMI available

Industry Immersion Program, Singapore

Industry Immersion Program in Singapore - 3 Days

Students can avail this ‘Industry Immersion Program in Singapore’ from 4th/7th/9th month during the Program.

Program Overview

GeekLurn’s Cyber Security Program is well equipped with providing hands-on industry knowledge by highly qualified cyber experts. This 140+ hours program involves in-depth learning on Certified Network Defender, Certified Ethical Hacker, Certified SOC Analyst, Certified Penetration Testing Professional and AWS Security Engineering. A strategically curated program to prepare future cyber wizards!

6 Months Program Duration

140+ hours of Live Training Interactive Sessions by Cyber Security Expert

360 Degree Career Support that includes Mock interview, Aptitude test, Group discussion & more

Industry Immersion Program in Singapore and get Project Experience Certificate

EC-Council certified training partner

E-kit study materials approved by EC-Council

Remote or Hybrid International internship opportunities

1:5 Program Manager ratio and 1-1 Career counselling with top Industry executives

1-1 Technical Mock Interview & Resume review (Technical by practitioners)

Start working as Cyber Security Expert and get 1 year work experience certificate working on Cyber Security Projects.

GeekLurn is now a Member of NASSCOM, IBM, EC-Council & NSDC

In our journey towards excellence, we are proud to become a member of NASSCOM, IBM, EC-Council & NSDC. Thankful to all our learners, team and cheerleaders who keep on inspiring us to do better each day.

Program Certificates

Cyber Security Is Highly Essential; Here’s Why!

Cyber Security becomes essential in the highly internet-intensive industry. With all our data online, theft, hacking, viruses and more have become a huge threat to the integrity of the organisational network.
The emerging concept of “White Hat” hacking provides corporations with a sense of safety and security regarding highly sensitive and confidential data. The competitive industry and the threat of internet theft has now increased the demand for Cyber Security jobs rapidly.
With 10 lakh+ demand in the field of Cyber Security currently and a 20% increase by 2025, the field has pulled enormous traction from multinational corporations. Multiple job openings in India in the arenas of threat and vulnerability assessment, security management, and incident and crisis management are growing at a fast pace. The Banking, Finance, Healthcare and IT sectors are all merging towards Cyber Security, further creating ample opportunities up for grabs!
Why should you pursue Geeklurn’s Cyber Security Program?

The GeekLurn Advanced Cyber Security program is led by highly qualified cyber specialists. This is for those who are pursuing a career in the field of IT Auditor, Penetration Tester, Security Consultants, Security Systems Engineer, CISOs, Network Specialists, and more. With 12 lakhs+ job creations in the field of Cyber Security by 2025, this is your chance to achieve a highly demanded and succesful career.

Who needs this program and what are the requisites?

This course is essential for anyone and everyone with a natural curiosity in the field of software technology and computer systems. This program is perfect for all technical & Non-Technical graduates. This course takes you step by step towards your goal of being a Cyber Security specialist.

What are the job roles available after this program?

According to Naukri.com, 20,000+ job openings are available in India, with a potential 33% increase in demand for the field of Cybersecurity by 2030. Here are some of the roles you can explore: 

Where Our Learners Work

Alumni Success Meet at GeekLurn HQ

Core Stages of Advanced Cyber Security Program

Stage 1

A conducive learning environment with 6 months of live interactive real-time training sessions with 1:1 mentorship offered by top industry experts who are working as Principal & Senior Cyber Security Expert

Stage 2

After hands-on applied training, start working as a Cyber Security Intern on real-time industry assignments at an authorized GeekLurn incubation zone.

Stage 3

The successful completion of the project will fetch you an Experience Certificate of 1 year issued by the respective research centre and will to help you add credible projects to your resume, which will prove to be  advantageous during placements.

Stage 4

Along with the Experience Certificate, you can fine-tune your resume by getting certified as a Cyber Security Specialist accredited by top brands in the industry.

Stage 5

With Job Guarantee & career support  from industry experts in resume building and mock interviews practices, you will be eligible to get hired by more than 110+ Cyber Security Companies across India and earn up to Rs. 25 lacs/annum

Tech Talks by Eminent Industry Experts

Mr. Havish Madhvapaty
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Founder - Havish M Consulting
Mr. Priyank Ahuja
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Product Manager – Accenture
Mr. Dhaval Thanki
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Vice President, APAC, MEA – LogiNext
Mr. Anand Gurumurthy
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CEO and Founder – Cosmitude Softwares Pvt Ltd
Mr Sujit Sukumaran
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Founder & CEO – Optimus Management Consultants, Dubai, United Arab Emirates
Dr.Rajashekhar Karjagi
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Manager - Analytics Solutions & POC - Accenture
Mr. Mukesh Jain
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Global CTIO "Data", Global Head of Innovation & VP Insights & Data - Capgemini
Mr. Joshua Devadas
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Data Science Manager – Accenture
Mr. Nitin Bhosekar
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Head Advanced Analytics, Artificial Intelligence, Automation, Big Data, DW Practice & Executive Vice President – Aress Software
Mr. Utsab Chakraborty
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Senior Analytics Manager (Asst. Director) – Flipkart
Previous
Next
Major Dr. Alexander M John
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Vice President, Operations – Foundation AI
Mr. Manoj Kumar Rajendran
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Principal Data Scientist – MiQ Digital India
Mr. Vinayakaram Gururajan
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Data Scientist – Tata Consultancy Services
Mr Shriram Vasudevan
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Project Manager – L&T Technology Service Ltd
Mr Balaji Subudhi
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Senior Data Scientist – Mojro
Mr. Anish Raj
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Human Resources Directo
Mrs. Keru Chen
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Analytics Manager – Product Grab, Singapore
Mrs. Mithila Harish
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Data Scientist Micron Technology, Singapore
Mr. Ravi Parthasarathy
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CEO/Director People Plus Consultants, Singapore
Previous
Next

Mr. Havish Madhvapaty

Founder – Havish M Consulting

Mr. Priyank Ahuja

Product Manager – Accenture

Mr. Dhaval Thanki

Vice President, APAC, MEA  – LogiNext

Mr. Anand Gurumurthy

CEO and Founder – Cosmitude Softwares Pvt Ltd

Mr Sujit Sukumaran

Founder & CEO – Optimus Management Consultants, Dubai, United Arab Emirates

Dr.Rajashekhar Karjagi

Manager – Analytics Solutions & POC – Accenture

Mr. Mukesh Jain

Global CTIO “Data”, Global Head of Innovation & VP Insights & Data – Capgemini

Mr. Joshua Devadas

Data Science Manager – Accenture

Mr. Nitin Bhosekar

Head Advanced Analytics, Artificial Intelligence, Automation, Big Data, DW Practice & Executive Vice President – Aress Software

Mr. Utsab Chakraborty

Senior Analytics Manager (Asst. Director) – Flipkart

Major Dr. Alexander M John

Vice President, Operations – Foundation AI

Mr. Manoj Kumar Rajendran

Principal Data Scientist – MiQ Digital India

Mr. Vinayakaram Gururajan

Data Scientist – Tata Consultancy Services

Mr Shriram Vasudevan

Project Manager – L&T Technology Service Ltd

Mr Balaji Subudhi

Senior Data Scientist – Mojro

Mr. Anish Raj

Human Resources Director

Mrs. Keru Chen

Analytics Manager – Product Grab, Singapore

Mrs. Mithila Harish

Data Scientist Micron Technology, Singapore

Mr. Ravi Parthasarathy

CEO/Director People Plus Consultants, Singapore

What Our Students Say

Ranjit Kumar
Ranjit Kumar
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I am very much happy with the geek. Instructer very much friendly and explained the topics very easy manner.

Shashikumar Shashi
Shashikumar Shashi
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I learned a lot and finally confronted my fear of programming. Now I feel much more confident. Thank you geeklurn :).

Bhagyashri Katkar
Bhagyashri Katkar
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I joined geeklurn 5 months ago, teaching is excellent.. About job and placement will Post after getting placed.. but till now journey is good. About trainer i would like to give 5 star for Advaith Sir He is very supportive and having excellent teaching skills and knowledge.

Saratchandra Chaganti
Saratchandra Chaganti
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Experience is good , training is good , but need more care during test Especially like extra classes.

Rakhi Prasad
Rakhi Prasad
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Geeklurn is a good platform for learning..

Gaurav Singh Baghel
Gaurav Singh Baghel
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Geeklurn is a good learning platform and it has good live and training session..

Rakhi Dwivedi
Rakhi Dwivedi
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The trainer is very good . Make concepts very simple..

Shivankar Kumar
Shivankar Kumar
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It is very good and have a very good interacting session..

Khitiz Kr
Khitiz Kr
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Fantastic, I like the way of teaching here. I'm not from an It background but still, I never feel it.

The Geeklurn Advantage

Job Guarantee

Secure exciting Cyber Security jobs in top companies through our network of over 110+ hiring partners and HR companies.

1 million+ Cyber Security Jobs

Cyber Security professionals earn an average salary of ₹12 lakhs, with professionals getting a minimum 30% salary hike compared to the previous jobs.

1-on-1 Career Mentorship

Enhance your resume, prepare for technical interviews, and gain career growth hacks with valuable insights from Cyber Sercurity experts

Easy Financing Options

GeekLurn offers an easy financing option with our finance partners.

Placement Stats

30% Average Salary Hike

12 LPA Average Salary

500+ Jobs Sourced

110+ Hiring Partners

Advisors

Sanjeet MishraAdvocate in Cyber Law
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He has an impressive background with 21+ international certification in the field of Cyber Forensics Analyst, Cyber Security and Audit due to which his sessions are always extremely fruitful.
Jitendra Pratap SinghConsultant at SSDN Technologies
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His thorough knowledge and 6+ years of experience with designing and deploying 10+ Citrix and VMWare projects has guided us with in-depth practical industry experience.
Prasanna V BalajiSenior Security Engineer at Tata Elxsi
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He's one of the best Cybersecurity advisors with 6+ CVEs. He has also shared his experience with OTT content security which gave us an insight into Cyber Security career opportunities.
Sripada MansaCyber Security Trainer
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A Cyber Security trainer and Analyst who has guided us with thorough knowledge in the field. With certifications in CYSA+, SECURITY+ and CEH, her lessons were very professional and detailed.
Syed Irfan AliCyber Security Trainer
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With his expertise in Microsoft Azure, Application Security and Computer Forensics, he was able to provide us with detailed sessions on Cyber Security while clarifying every single doubt we had.
Prabhsimran SinghComputer Security Enthusiast at Oportun
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He is an extremely experienced industry professional having worked at IBM, Cognizant and Synack Red Team. His knowledge in the field of Cyber Security was beyond compare.
Shrey GuptaCyber Security Engineer @Slice
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Being taught by Mr. Shrey was a very unique experience. His industry expertise with 4+ years of experience in API security testing and web application penetration testing motivated us to learn so much more.
Fundamentals of Cyber Security

A thorough program with the basics involving introduction to Cyber Security, overview of cyber threats and risks, cyber crimes ecosystem & darkweb and fundamentals of network security to kickstart the program with the best.

  1. Introduction to Cyber Security
  2. Overview of Cyber Threats and Risks
  3. Cyber Crimes Ecosystem & Darkweb
  4. Fundamentals of Network Security

Certified Network Defender (CND)

Learn cyber threat detection and response with in-depth knowledge on digital business analysis by our top industry experts. Strategise highly secured network defense systems for digital asset protection.

Module 01: Network Attacks and Defense Strategies
Module 02: Administrative Network Security
Module 03: Technical Network Security
Module 04: Network Perimeter Security
Module 05: Endpoint Security-Windows Systems
Module 06: Endpoint Security-Linux Systems
Module 07: Endpoint Security- Mobile Devices
Module 08: Endpoint Security-IoT Devices
Module 09: Administrative Application Security
Module 10: Data Security
Module 11: Enterprise Virtual Network Security
Module 12: Enterprise Cloud Network Security
Module 13: Enterprise Wireless Network Security
Module 14: Network Traffic Monitoring and Analysis
Module 15: Network Logs Monitoring and Analysis
Module 16: Incident Response and Forensic Investigation
Module 17: Business Continuity and Disaster Recovery
Module 18: Risk Anticipation with Risk Management
Module 19: Threat Assmt with Attack Surface Analysis
Module 20: Threat Prediction with Cyber Threat Intel

Certified Ethical Hacker (CEH)

A guided program starting from basics to learning vulnerability analysis, malware threats, session hijacking and more. Learn hands on subject-matter expertise supplemented with practical industry knowledge.

Module 01: Introduction to Ethical Hacking
Module 02: Footprinting and Reconnaissance
Module 03: Scanning Networks
Module 04: Enumeration
Module 05: Vulnerability Analysis
Module 06: System Hacking
Module 07: Malware Threats
Module 08: Sniffing
Module 09: Social Engineering
Module 10: Denial-of-Service
Module 11: Session Hijacking
Module 12: Evading IDS, Firewalls, and Honeypots
Module 13: Hacking Web Servers
Module 14: Hacking Web Applications
Module 15: SQL Injection
Module 16: Hacking Wireless Networks
Module 17: Hacking Mobile Platforms
Module 18: IoT Hacking
Module 19: Cloud Computing
Module 20: Cryptography

Certified SOC Analyst (CSA)

Guided SOC Analyst program with to assist tier 1 and tier 2 SOC analyst aspirants for their successful career in Cyber Security. Gain industry knowledge in various SOC process management with our top advisors.

  1. Security Operations and Management
  2. Understanding Cyber Threats, IoCs, and Attack Methodology
  3. Incidents, Events, and Logging
  4. Incident Detection with Security Information and Event Management (SIEM)
  5. Enhanced Incident Detection with Threat Intelligence
  6. Incident Response

Briefing for Certification Exam

Certified Penetration Testing Professional (CPENT)

Expertise in pen test IoT systems, OT systems and learn how to build your own tools, conduct advanced binaries exploitation and more while defending comprehensive network systems and digital data.

Module 01: Introduction to Penetration Testing
Module 02: Penetration Testing Scoping and Engagement
Module 03: Open Source Intelligence (OSINT)
Module 04: Social Engineering Penetration Testing
Module 05: Network Penetration Testing – External
Module 06: Network Penetration Testing – Internal
Module 07: Network Penetration Testing – Perimeter Devices
Module 08: Web Application Penetration Testing
Module 09: Wireless Penetration Testing
Module 10: IoT Penetration Testing
Module 11: OT/SCADA Penetration Testing
Module 12: Cloud Penetration Testing
Module 13: Binary Analysis and Exploitation
Module 14: Report Writing and Post Testing Actions

AWS Security Engineering

Gain hands on knowledge and learn how to identify entry points on AWS, intensive data security, processing logs on AWS along with account management and provisioning on AWS. Let our top advisors guide you to success.

Module 01: Security on AWS
Module 02: Identifying Entry Points on AWS
Module 03: Security Considerations: Web Application Environments
Module 04: Application Security
Module 05: Data Security
Module 06: Securing Network Communications
Module 07: Monitoring and Collecting Logs on AWS
Module 08: Processing Logs on AWS
Module 09: Security Considerations: Hybrid Environments
Module 10: Out-Of-Region Protection
Module 11: Security Considerations: Serverless Environments
Module 12: Threat Detection and Investigation
Module 13: Secrets Management on AWS
Module 14: Automation and Security by Design
Module 15: Account Management and Provisioning on AWS

Natural Language Processing with deep Learning in Python

WHAT YOU WILL LEARN

  • Understand and implement word2vec
  • Understand the CBOW method in word2vec
  • Understand the skip-gram method in word2vec
  • Understand the negative sampling optimisation in word2vec
  • Understand and implement GloVe using gradient descent and alternating least squares
  • Use recurrent neural networks for parts-of-speech tagging
  • Use recurrent neural networks for named entity recognition
  • Understand and implement recursive neural networks for sentiment analysis
  • Understand and implement recursive neural tensor networks for sentiment analysis

Natural Language Processing in TensorFlow

WHAT YOU WILL LEARN

  • Build natural language processing systems using TensorFlow
  • Process text, including tokenisation and representing sentences as vectors 
  • Apply RNNs, GRUs, and LSTMs in TensorFlow 
  • Train LSTMs on existing text to create original poetry and more

Module 1 : Introduction to Natural Language Processing

  • Getting Started 

  • Knowing each other 

  • Welcome to the Course 

  • About the Course

  • Introduction to Natural Language Processing 

  • Exercise: Introduction to Natural Language Processing 

  • Podcast with NLP Researcher Sebastian Ruder

Module 2 : A Refresher to Python

  • Installation steps for Linux

  • Installation steps for Mac 

  • Installation steps for Windows

  • Packages Installation 

  • Introduction to Python 

  • Variables and Operators 

  • Exercise: Variables and Operators 

  • Python Lists 

  • Exercise: Python Lists

  • Dictionaries 

  • Exercise: Dictionaries 
  • Conditional Statements 
  • Exercise: Conditional Statements 
  • Loops 
  • Exercise: Loops 
  • Functions 
  • Python Functions Practice 
  • Exercise: Functions 
  • Packages 
  • Exercise: Packages 
  • Files 
  • Exercise: Files

Module 3 : Learn to use Regular Expressions

  • Welcome to Module 
  • Understanding Regular Expression 
  • Implementing Regular Expression in Python 
  • Exercise: Implementing Regular Expression in Python 
  • Regular Expressions in Action

Module 4 : First Step of NLP - Text Processing

  •  Welcome to Module 
  • Tokenization and Text Normalisation 
  • Exercise: Tokenisation and Text Normalisation 
  • Exploring Text Data 
  • Part of Speech Tagging and Grammar Parsing 
  • Exercise: Part of Speech Tagging and Grammar Parsing 
  • Implementing Text Pre-processing Using NLTK
  • Exercise: Implementing Text Pre-processing Using NLTK 
  • Natural Language Processing Techniques using spaCy

Module 5 : Extracting Named Entities from Text

  • Welcome to Module 
  • Understanding Named Entity Recognition 
  • Exercise: Understanding Named Entity Recognition 
  • Implementing Named Entity Recognition
  • Exercise: Implementing Named Entity Recognition 
  • Named Entity Recognition and POS tagging using spaCy
  • POS and NER in Action: Text Data Augmentation 
  • Assignment: Share your learning and build your profile

Module 6 : Feature Engineering for Text

  • Introduction to Text Feature Engineering 

  • Count Vector, TFIDF Representations of Text 

  • Exercise: Introduction to Text Feature Engineering 

  • Understanding Vector Representation of Text 

  • Exercise: Understanding Vector Representation of Text 

  • Understanding Word Embeddings 

  • Word Embeddings in Action - Word2Vec

  • Word Embeddings in Action - GloVe

Module 7 : Mastering the Art of Text Cleaning

  • Introduction to Text Cleaning Techniques Part 1 

  • Exercise: Introduction to Text Cleaning Techniques Part 1 

  • Introduction to Text Cleaning Techniques Part 2 

  • Exercise: Introduction to Text Cleaning Techniques Part 2 

  • Text Cleaning Implementation 

  • Exercise: Text Cleaning Implementation 

  • NLP Techniques using spaCy

Module 8 : Project I - Social Media Information Extraction

  • Project I - Social Media Information Extraction

Module 9 : Interpreting Patterns from Text - Topic Modelling

  • Introduction to Topic Modelling 
  • Exercise: Introduction to Topic Modelling
  • Understanding LDA 
  • Exercise: Understanding LDA 
  • Implementation of Topic Modelling 
  • Exercise: Implementation of Topic Modelling 
  • LSA for Topic Modelling

Module 10: Project II - Categorisation of Sports Articles

  • Understanding the Problem Statement 
  • Importing Dataset 
  • Text Cleaning and Pre-processing 
  • Categorising Articles using Topic Modelling

Module 11.1 : Machine Learning Algorithms

  • Types of Machine Learning Algorithms 
  • Logistic Regression 
  • Decision Tree 
  • Naive Bayes 
  • SVM (Support Vector Machine) 
  • Random Forest

Module 11.2 : Understanding Text Classification

  • Overview of Text Classification 
  • Exercise: Overview of Text Classification 
  • Assignment: Share your learning and build your profile

Module 12.1 : Introduction to Deep Learning (Optional)

  • Getting started with Neural Network 
  • Exercise: Getting started with Neural Network 
  • Understanding Forward Propagation 
  • Exercise: Forward Propagation 
  • Math Behind forwarding Propagation 
  • Exercise: Math Behind forwarding Propagation 
  • Error and Reason for Error
  • Exercise: Error and Reason for Error 
  • Gradient Descent Intuition 
  • Understanding Math Behind Gradient Descent
  • Exercise: Gradient Descent 
  • Optimiser 
  • Exercise: Optimiser 
  • Back Propagation 
  • Exercise: Back Propagation 
  • Why Keras? 
  • Exercise: Why Keras? 
  • Building a Neural Network for Text Classification 
  • Why CNN? 
  • Exercise: Why CNN? 
  • Understanding the working of CNN Filters
  • Exercise: Understanding the working of CNN Filters 
  • Introduction to Padding 
  • Exercise: Introduction to Padding 
  • Padding Strategies 
  • Exercise: Padding Strategies 
  • Padding Strategies in Keras 
  • Exercise: Padding Strategies in Keras 
  • Introduction to Pooling 
  • Exercise: Introduction to Pooling 
  • CNN architecture and it's working 
  • Exercise: CNN architecture and it's working

Module 12.2 : Deep Learning for NLP

  • Deep Learning for NLP Part 1 
  • Exercise: Deep Learning for NLP Part 1 
  • Deep Learning for NLP Part 2 
  • Exercise: Deep Learning for NLP Part 2 
  • Text Generation Using LSTM 
  • Exercise : Text Generation Using LSTM

Module 13 : Project III – SMS Spam Classification

  • Dataset download 
  • Text Cleaning
  • Feature Engineering 
  • Advanced Feature Engineering 
  • Combining Features
  • ML Classifier 
  • Spam Classification using Deep Learning

Module 14 : Project IV – Hate Speech Classification

  • Project III

Module 15 : Project V – Building Auto-Tagging System

  • Overview of Auto-Tagging System 
  • Introduction to Dataset and Performance Metrics
  • Auto-Tagging Implementation Using Machine Learning Part-1 
  • Auto-Tagging Implementation Using Machine Learning Part-2 
  • Auto-Tagging Implementation Using Deep Learning

Module 16 : Recurrent Neural Networks

  • Why RNN
  • Introduction to RNN: Shortcomings of an MLP 
  • Introduction to RNN: RNN Architecture 
  • Training an RNN: Forward propagation 
  • Training an RNN: Backpropagation through time 
  • Need for LSTM/GRU 
  • Long Short Term Memory (LSTM) 
  • Gated Recurrent Unit (GRU) 
  • Project: Categorisation of websites using LSTM and GRU I 
  • Dataset and Notebook 
  • Project: Categorisation of websites using LSTM and GRU II

Module 17 : Introduction to Language Modelling in NLP

  • Overview: Language Modelling 
  • What is a Language Model in NLP? 
  • N-gram Language Model 
  • Implementing an N-gram Language Model - I 
  • Implementing an N-gram Language Model - II 
  • Neural Language Model
  • Implementing a Neural Language Model

Module 18 : Sequence-to-Sequence Modelling

  • Intuition Behind Sequence-to-Sequence Modelling 
  • Need for Sequence-to-Sequence Modelling 
  • Understanding the Architecture of Sequence-to-Sequence 
  • Understanding the Functioning of Encoder and Decoder 
  • Case Study: Building a Spanish to English Machine Translation Model 
  • Pre-processing of Text Data 
  • Converting Text to Integer Sequences 
  • Model Building and Inference

Module 19 : Project VI - Summarisation of Customer Reviews

  • Introduction 
  • Pre-processing and Feature Creation 
  • Model Building and Summary Genera

Module 20 : Project VII - Build your first Chatbot

  • Introduction 
  • About this module 
  • Overview of Conversational Agents 
  • Project - Foodbot 
  • Overview of Rasa Framework 
  • System Setup 
  • Rasa NLU: Understanding user intent from a message
  • Rasa NLU: Extracting intents from a user's message 
  • Rasa Core: Making your chatbot conversational 
  • Working with Zomato API 
  • Create a Workspace in Slack 
  • Deploying to Slack 
  • Assignment: Share your learning and build your profile

Module 21 : Bonus Section (Advance NLP tools)

  • Getting started with Bonus Section 
  • Text Classification & Word Representations using FastText (An NLP library by Facebook)
  • Introduction to Flair for NLP: A Simple yet Powerful State-of-the-Art NLP Library 
  • Introduction to Stanford NLP: An Incredible State-of-the-Art NLP Library for 53 Languages (with Python code) 
  • A Step-by-Step NLP Guide to Learn Elmo for Extracting Features from Text
  • Tutorial on Text Classification (NLP) using ULMFiT and fastai Library in Python 
  • 8 Excellent Pretrained Models to get you started with Natural Language Processing (NLP) 
  • Geo-coding using NLP by Shantanu Bhattacharyya and Farhat Habib 
  • Demystifying the What, the Why and How of Chatbot by Sonny Laskar 
  • Sentiment Analysis using NLP and Deep Learning by Jeeban Swain 
  • Identifying Location using Clustering and Language Model - By Divya Choudhary 
  • Building Intelligent Chatbots from Scratch

Project : VIII Stock Prices Predictor

This is another interesting machine learning project idea for data scientists/machine learning engineers working or planning to work with the finance domain. Stock prices predictor is a system that learns about the performance of a company and predicts future stock prices. The challenges associated with working with stock price data are that it is very granular, and moreover there are different types of data like volatility indices, prices, global macroeconomic indicators, fundamental indicators, and more. One good thing about working with stock market data is that the financial markets have shorter feedback cycles making it easier for data experts to validate their predictions on new data. To begin working with stock market data, you can pick up a simple machine learning problem like predicting 6-month price movements based on fundamental indicators from an organisations’ quarterly report. You can download Stock Market datasets from Quandl.com or Quantopian.com.

Project : IX Human Activity Recognition using Smartphone Dataset

The smartphone dataset consists of fitness activity recordings of 30 people captured through smartphone-enabled with inertial sensors. The goal of this machine learning project is to build a classification model that can precisely identify human fitness activities. Working on this machine learning project will help you understand how to solve multi-classification problems. One can become a master of machine learning only with lots of practice and experimentation. Having theoretical surely helps but it’s the application that helps progress the most. No amount of theoretical knowledge can replace hands-on practice. There are many other machine learning projects for beginners like the ones mentioned above that you can work with. However, it will help if you familiarise yourself with the above-listed projects first. If you are a beginner and new to machine learning then working on machine learning projects designed by industry experts at DeZyre will make some of the best investments of your time. These machine learning projects have been designed for beginners to help them enhance their applied machine learning skills quickly whilst giving them a chance to explore interesting business use cases across various domains – Retail, Finance, Insurance, Manufacturing, and more. So, if you want to enjoy learning machine learning, stay motivated, and make quick progress then DeZyre’s machine learning interesting projects are for you. Plus, add these machine learning projects to your portfolio and land a top gig with a higher salary and rewarding perks.

Project : X Learn to build Recommender Systems with Movielens Dataset

From Netflix to Hulu, the need to build an efficient movie recommender system has gained importance over time with increasing demand from modern consumers for customised content. One of the most popular datasets available on the web for beginners to learn how to build recommender systems is the Movielens Dataset which contains approximately 1,000,209 movie ratings of 3,900 movies made by 6,040 Movielens users. You can get started working with this dataset by building a world-cloud visualisation of movie titles to build a movie recommender system.

Project : XI Social Media Sentiment Analysis using Twitter Dataset

This course comprises of 40 case studies that will enrich your learning experience. In addition, we also have 4 Projects that will enhance your implementation skills. Below are a few case studies, which are part of this course:

Case Study 1: Maple Leaves Ltd is a start-up company that makes herbs from different types of plants and leaves. Currently, the system they use to classify the trees which they import in a batch is quite manual. A laborer from his experience decides the leaf type and subtype of the plant family. They have asked us to automate this process and remove any manual intervention from this process.

Project : XII AutoBot

Build a system that can have a conversation with you. The user types messages and your system replies based on the user's text. Many approaches here ... you could use a large twitter corpus and do language similarity.

Cloud Computing & Deployment of Machine Learning Modals to Cloud

  • Flask basics
  • Deployment of the model on Heroku
  • AWS basics 
    •  S3 
    •  EC2 
    •  AWS Lambda 
  • Deployment of the model on EC2
  • Deployment on AWS Lambda (Optional)
  • Google Cloud Platform Basics
  • Deployment of the Model on GCP
  • Microsoft Azure basics
  • Deployment of the Model on Azure
  •  Pyspark Basics
  • DeVops Concepts

Business & Data Analytics

  • Data Visualization with Tableau & Power BI
  • SQL
  • MSOFFICE
  •  Introduction to Operational , HR, Finance, Marketing Analytics

Data Science Project Management

  •  Leading Data Science Teams & Processes
  • Exploring Methodologies
  •  How to manage data science projects and lead a data science team
  •  Agile Data Science
  • Scrum Data Science
  •  Emerging Approaches – Microsoft TDSP
  • Data Science Methodology understanding
  • Business & Data understanding
  • Modelling & Evaluation
  • Plan Deployment
  • Data Science Project Report

Big Data , Spark & Kafka , MongoDB, CICD

  • Introduction to Bigdata & HDFS along with Linux concepts , its importance in data science
  • Core Components of Hadoop
  • HDFS Architecture
  • HDFS Commands

MapReduce Concepts & programming

  • Apache Scoop Fundamentals & basics
  • Apache Spark fundamentals & advanced concepts and its importance in data science
  • Introduction to Kafka
  • Bigdata on Cloud and its importance in Data Science

Addon Syllabus

Our Cyber Security Community

  • 140+ hours Live Interactive Sessions with Eminent Cyber Security Expert.

  • EC-Council certified training partner

  • Job Assistant (Access to all the openings in Geeklurn job portal)

  • 20 current security domains

  • E-kit study materials approved by EC-Council

  • 1-1 Career counselling with top Industry executives

Our Cyber Security Community

Real-Time Projects

Fingerprint Authenticated Secure Android Notes
E Authentication System Using QR Code & OTP
Credit Card Fraud Detection Project
Watermark Images Using Discrete Cosine Transform
Secure Backup Software System
Text Steganography Project

Program Features

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Guidance from Corporate Specialists

Resolve all theory and project related queries from our with our mentors, who are eminent industry experts.

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Corporate Boot Camps

Participate in workshops and live webinars to understand technical terms and trends and make your learning reasonable.

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Peer Networking

Build a cohesive learning network with workmates, mentors, and experts to share ideas, address intra-queries, and resolve projects, and practical learning ambiguities.

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Job Guarantee

Our one-of-a-kind learning program promises Job Guarantee and prepares you to be industry ready and equipped with all the requisites for a successful career in Cyber Security Industry.

Tools Covered

Program Fees

Students can choose any one of the 2 options available below.

Option 1

Course fees : INR 99,999 ( Inc Tax )

Students will be eligible to get the following certificates:-

Key Features

Option 2

Course fees : INR 49,999 ( Inc Tax )

Students will be eligible to get the following certificates:-

Key Features

Program Fees

Online Training + Mentorship

₹ 2,00,000

(Inclusive of Taxes)

Geeklurn’s Advanced Cyber Security program is professionally mapped to train you for CEH, CSA, CND, CPENT and AWS certification.

Apply Now

Fee Structure

Students can choose any one of the 2 options available below.

Option 1

Option 2

Flexible Payment options Available from Finance Partner.

We proudly partner with the safe, secure and best financial services in the industry.

Frequently Asked Questions

How long does the Advanced Cyber Security Program last for?

Essentially, each course has its own timeline. Every course has its own pace and need for the amount of knowledge that they wish to impart. Geeklurn’s Cyber Security course is a 6 months course that takes you on your path to become a cyber specialist with a pace that is well suited for you and your needs. You should always make sure that the course you opt for is flexible enough for you!

Why is a Advanced Cyber Security certification important?

The demand for the Cyber Security sector is expected to grow upto approximately 33% by the year 2030. With the growing demand comes an increasing need for professional employment and hiring. A certification in this field gives you an edge over your competitors and adds credibility to your skills of being a cyber specialist. Moreover, the Geeklurn cyber security course certification ensures industry learning and hands-on experience in the field, hence ensuring better job opportunities and hiring by top multinational corporations.

On what criteria are my trainers selected? Are they skilled in this field?

The team at Geeklurn is equipped with CEH (v12) certification, recruited through a meticulous process of screening, technical assessment, and training program. Priority is based on high alumni rating and a seasoned experience of over a decade in IT architecture solutions and services and ethical hacking.

Is the course curriculum limited to live classes?

The courses at Geeklurn take a comprehensive approach towards learning through mock interviews, simulation tests, aptitude tests, and group discussions.

Do you need to learn coding before starting the Advanced Cyber Security Program?

Each level of expertise in the field of Cybersecurity requires a different level of skills. In terms of coding, it is not needed for most entry-level jobs. However, as you move up to mid/senior level jobs, you may need to possess a certain amount of coding skills in order to deliver on that level of advancement. It is recommended to understand the level of expertise you wish to aim for and then work on the skills required for the same.

What will you learn in this Advanced Cyber Security program?

Geeklurn’s 6 months course is led by cyber specialists with industry expertise. This course provides hands on knowledge for you to learn all the basics required in the field of Cyber Security. Starting from the Certifications for Network Defender, Ethical Hacking, SOC Analyst and AWS Security Engineering. Additionally, you will also receive 140+ hours of live interactive sessions with cyber security specialists and study material (E-Kit) provided by the EC council.

What is the medium of training? Will I have live-interactive training or through pre-recorded videos?

The sessions are curated to have discussion-based live, online sessions. Interactions and queries are encouraged to ensure effective learning. However, the recordings of these classes are provided for future references. There is a globally spread learner audience that focuses on learning through diversity.

For Queries, Feedback or Assistance

Contact GeekLurn Support

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Program Fees

Apply Now

Download Brochure

Program Fees

₹ 2,00,000

Inclusive of Taxes.

Geeklurn’s Advanced Cyber Security program is professionally mapped to train you for CEH, CSA, CND, CPENT and AWS certification.
  • 10-Months Program Duration
    – 6 Months of live interactive classes
    – 4 Months International Immersion Project Submission
  • 254+ Hours Live Training Sessions with Eminent Cyber Security Expert
  • EC-Counceil certified training partner
  • 1 -1 Career counselling with top Industry executives
  • Ethical Hacker (CEH ) certification from EC-Council is included

Apply Now

Download Brochure

Download Brochure