Advanced Cyber Security Program
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140+ hours Live Interactive Sessions with Eminent Cyber Security Expert
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EC-Council certified training partner
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Ethical Hacker (CEH) v12 certification from EC-Council is included
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1-1 Career counselling with top Industry executives
Advanced Cyber Security Program
-
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
- Students will get international real-time project exposure by attending an online Industry Immersion Program, Singapore for 03 days.
- Hands-on industry experience with 1 on 1 client engagement and intensive training with practical projects guided by Cyber Security experts.
- Get the opportunity to work with international client assignments with this 5-day industry immersion program and receive a project experience certificate.
- The program will help students develop their leadership abilities, business acumen, and enterprise understanding from a global perspective.
- Visa & round trip air tickets will be sponsored by GEEKLURN.
- Hands-on industry experience with 1 on 1 client engagement and intensive training with practical projects guided by Data Science experts.
- Get the opportunity to work with international client assignments with this 3-day industry immersion program and receive a project experience certificate.
- The program will help students develop their leadership abilities, business acumen, and enterprise understanding from a global perspective.
Industry Immersion Program in Singapore - 3 Days
- Visa & round trip air tickets will be sponsored by GEEKLURN.
- Hands-on industry experience with 1 on 1 client engagement and intensive training with practical projects guided by Data Science experts.
- Get the opportunity to work with international client assignments with this 3-day industry immersion program and receive a project experience certificate.
- The program will help students develop their leadership abilities, business acumen, and enterprise understanding from a global perspective.
Program Overview
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!
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.
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?
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
What Our Students Say
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
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.
- Introduction to Cyber Security
- Overview of Cyber Threats and Risks
- Cyber Crimes Ecosystem & Darkweb
- Fundamentals of Network Security
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.
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.
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.
- Security Operations and Management
- Understanding Cyber Threats, IoCs, and Attack Methodology
- Incidents, Events, and Logging
- Incident Detection with Security Information and Event Management (SIEM)
- Enhanced Incident Detection with Threat Intelligence
- Incident Response
Briefing for Certification Exam
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.
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.
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
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
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
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
- Welcome to Module
- Understanding Regular Expression
- Implementing Regular Expression in Python
- Exercise: Implementing Regular Expression in Python
- Regular Expressions in Action
- 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
- 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
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
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
Project I – Social Media Information Extraction
- 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
- Understanding the Problem Statement
- Importing Dataset
- Text Cleaning and Pre-processing
- Categorising Articles using Topic Modelling
- Types of Machine Learning Algorithms
- Logistic Regression
- Decision Tree
- Naive Bayes
- SVM (Support Vector Machine)
- Random Forest
- Overview of Text Classification
- Exercise: Overview of Text Classification
- Assignment: Share your learning and build your profile
- 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
- 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
- Dataset download
- Text Cleaning
- Feature Engineering
- Advanced Feature Engineering
- Combining Features
- ML Classifier
- Spam Classification using Deep Learning
- Project III
- 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
- 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
- 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
- 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
- Introduction
- Pre-processing and Feature Creation
- Model Building and Summary Genera
- 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
- 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
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.
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.
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.
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.
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.
- 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
- Data Visualization with Tableau & Power BI
- SQL
- MSOFFICE
- Introduction to Operational , HR, Finance, Marketing Analytics
- 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
- Introduction to Bigdata & HDFS along with Linux concepts , its importance in data science
- Core Components of Hadoop
- HDFS Architecture
- HDFS Commands
- 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
- Bigdata, Sparck & Kafka, MangoDB
- Business Analytics
- Data WareHousing & ETL
- Data Analytics
- Cloud Coumpting (AWS, AZURE, CGP)
- Deployment of Machine Learning Models to Cloud
- Data Science Project Management
Our Cyber Security Community
- EC Council certified training partners
- E-kit study materials approved by EC Council
- 20 current security domains
- Placement opportunities with our top hiring partners after course completion
Real-Time Projects
Program Features
Guidance from Corporate Specialists
Resolve all theory and project related queries from our with our mentors, who are eminent industry experts.
Corporate Boot Camps
Participate in workshops and live webinars to understand technical terms and trends and make your learning reasonable.
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.
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 )
- Course tenure : 6 months
- Loan model : Subvention/ No Cost EMI
Students will be eligible to get the following certificates:-
- Certified Ethical Hacker from EC Council (Click here)
- Industry Immersion Program Certificate By GeekLurn AI, Singapore (Click here)
- Real-Time Project Experience Certificate from GeekLurn AI in Association with Cyber Security Startups, Founded by IITians.(Click here)
- Course Completion Certification by GeekLurn recognized by NSDC, IBM, NASSCOM & Cyber Security Startups.(Click here)
Key Features
- Students will get international real-time project exposure by attending the Industry Immerssion Program, by physically flying to Singapore for a trip of 03 days, and the student will have their round-trip flight charges and Visa charges sponsored by GEEKLURN.
- Student will be eligible to get a " Certified Ethical Hacker Certificate" From EC Council, which is the world’s 2nd most reputable certification offered within the IT Industry
- Student will be working as Jr. Cyber Security Research Associate in NASSCOM Based Cyber Security Startups founded by IIT Alumni, where the student will get the opportunity to work directly with real clients and gain real-time project experience certificate
- Student will be getting Government Recognized Course Completion Certification from NSDC, A Central Government Initiative along with NASSCOM & EC Council
- Placement Opportunities for students through NSDC, A Central Government Initiative
- Students will be given a minimum of 50+ Guaranteed job opportunities till he/she gets placed through GEEKLURN
- Geeklurn has partnered with NSDC International & OPPTY.AI, Singapore to assist international opportunities for students.
Option 2
Course fees : INR 49,999 ( Inc Tax )
- Course fees : INR 60,000 ( Inc Tax )
- Course tenure : 6 months
- EC Council Certification Fee: INR 20,000 after Course completion
- Course tenure : 6 months
- Pay After Placement Fee : Remaining fee of INR 30,000 will be paid by the student only after getting a Job Placement.
Students will be eligible to get the following certificates:-
- Certified Ethical Hacker from EC Council (Click here)
- Industry Immersion Program Certificate By GeekLurn AI, Singapore (Click here)
- Real-Time Project Experience Certificate from GeekLurn AI in Association with Cyber Security Startups, Founded by IITians.(Click here)
- Course Completion Certification by GeekLurn recognized by NSDC, IBM, NASSCOM & Cyber Security Startups.(Click here)
Key Features
- Students will get international real-time project exposure by attending an online Industry Immersion Program, Singapore for 03 days.
- Student will be eligible to get a " Certified Ethical Hacker Certificate" From EC Council, which is the world’s 2nd most reputable certification offered within the IT Industry
- Student will be working as Jr. Cyber Security Research Associate in NASSCOM Based Cyber Security Startups founded by IIT Alumni, where the student will get the opportunity to work directly with real clients and gain real-time project experience certificate
- Student will be getting Government Recognized Course Completion Certification from NSDC, A Central Government Initiative along with NASSCOM & EC Council
- Placement Opportunities for students through NSDC, A Central Government Initiative
- Students will be given a minimum of 50+ Guaranteed job opportunities till he/she gets placed through GEEKLURN
- Geeklurn has partnered with NSDC International & OPPTY.AI, Singapore to assist international opportunities for students.
Program Fees
Online Training + Mentorship
₹ 2,00,000
(Inclusive of Taxes)
- 6-Months Program Duration
- 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
Apply Now
Fee Structure
Students can choose any one of the 2 options available below.
Option 1
- Program Fee - 2 Lakhs (Including Tax) with zero credits per month, without any financial aid.
- The students are required to fly to Singapore and attend the 5-day ‘Industry Immersion Program’.
Option 2
- Program Fee - 2 Lakhs (Including Tax) with financial aid providing 100 credits per month for the entire duration of 6 months of the program with a requirement of 50% attendance in live or recorded sessions.
- Here Student can attend 1 Day Online Industry Immersion Program of Singapore.
Flexible Payment options Available from Finance Partner.
We proudly partner with the safe, secure and best financial services in the industry.
Frequently Asked Questions
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!
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.
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.
The courses at Geeklurn take a comprehensive approach towards learning through mock interviews, simulation tests, aptitude tests, and group discussions.
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.
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.
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.
