Cybersecurity Fundamentals
Cybersecurity is the most in-demand skill in tech — and this course gives you a solid, practical foundation. From understanding attack vectors to setting up defences, you will learn how professionals protect organisations from real-world threats. No prior experience needed.
What you will learn
Curriculum
9 modules · 40 lessons · 9 Months
Linux basics and its significance in ethical hacking | Linux distributions and their suitability for ethical hacking | Setting up a virtual lab environment
What happens after the curriculum
The course is just the beginning. Here is the full programme roadmap that takes you from learner to placed professional.
Soft Skills Training
Communication, leadership, critical thinking, and workplace etiquette — the edge that separates good professionals from great ones.
Live Internship
Work on real client briefs with industry mentors. Build experience that goes straight onto your CV before you even graduate.
Freelance Projects Training
Learn how to source, pitch, and deliver freelance projects. Start earning independently while you are still learning.
360° Placement Support
Resume building, mock interviews, LinkedIn optimisation, and direct referrals to our 200+ hiring partners across India and abroad.
Industry Certificate
Final milestoneReceive an inGrade-certified credential recognised by top employers. Share it on LinkedIn and let your skills speak for themselves.
Real-world projects you will build
Every project is designed around actual business problems — giving you a portfolio that speaks louder than any certificate.
Network Vulnerability Assessment
Provides a clear picture of the organisation's security posture by identifying existing vulnerabilities and misconfigurations. Helps prioritise security measures and allocate resources effectively, reducing the risk of potential attacks.
Phishing Simulation
Tests and enhances employee awareness of phishing attacks through practical experience. Reduces the likelihood of successful phishing attempts, protecting sensitive information and organisational integrity.
Incident Response Plan Development
Establishes a structured approach for responding to cybersecurity incidents, ensuring swift and efficient action. Minimises damage during an incident, reduces recovery time, and enhances overall organisational resilience against attacks.
Penetration Testing
Identifies security weaknesses before they can be exploited by malicious actors through controlled, ethical hacking. Strengthens application and network security, safeguarding sensitive data and maintaining customer trust.
Malware Analysis
Provides insights into the behaviour and characteristics of malware, enhancing the ability to detect and respond to future threats. Informs the development of effective defence strategies and threat mitigation techniques.
Secure Web Application Development
Embeds security best practices into the software development lifecycle, creating applications that are less susceptible to attacks. Increases user trust, protects sensitive data, and ensures compliance with security regulations.
Cybersecurity Awareness Training Program
Educates employees about cybersecurity threats and best practices, fostering a security-aware culture within the organisation. Reduces the likelihood of human error, which is often a significant factor in security breaches.
Data Loss Prevention Strategy
Implements measures to protect sensitive data from unauthorised access and breaches, enhancing compliance with regulations. Safeguards organisational assets, maintains customer trust, and mitigates the financial impact of data breaches.
Learn from real industry outcomes
Each case study is drawn from an actual business scenario — so you understand not just the technique, but the impact it creates.
Data Breach Simulation & Prevention for a Retail Chain
Conduct a simulated data breach to evaluate and improve the organisation's cyber resilience — identifying gaps in detection, response, and recovery before a real attacker does.
68%
Faster breach detection
Endpoint Security for a Multinational Corporation
Strengthen endpoint security to prevent unauthorised access and malware infections across thousands of devices distributed across multiple countries and time zones.
94%
Malware incidents blocked
Insider Threat Detection for a Government Agency
Develop an insider threat detection system that identifies abnormal user behaviour in real-time, flagging suspicious access patterns before sensitive data is exfiltrated.
3×
Faster anomaly detection
IoT Device Security for a Smart Home Manufacturer
Design a secure communication system for IoT devices used in smart homes — covering encryption, secure firmware updates, and device authentication to prevent remote exploitation.
100%
Devices with encrypted comms
Frequently asked questions
Everything you need to know before you enrol.
Related Case Studies
See how the concepts from this course play out in real companies. Each case study is a deep-dive into an actual business scenario.
Limited time offer
- 9 Months · 40 lessons
- Lifetime access
- Certificate of completion
- 7-day money-back guarantee
Business Analytics & AI
Business Analytics & AI is the most sought-after skill set for managers, consultants, and analysts. This course teaches you how to collect, analyse, and visualise data to drive strategic decisions — using tools like Excel, SQL, Power BI, and AI-powered analytics platforms. You will work on real business case studies from day one.
What you will learn
Curriculum
14 modules · 36 lessons · 6 Months
Introduction to Excel: overview of interface and core functionalities | Arithmetic operators: addition, subtraction, multiplication, division | Basic formulas and functions: SUM, AVERAGE, MIN, MAX | Sorting & filtering: organising and refining datasets | Statistical and mathematical functions: STDEV, COUNTIF, and more | Conditional formatting for visual data insights | Lookup, Index & Match: VLOOKUP, HLOOKUP, INDEX, MATCH | Logical & text functions: IF, AND, OR, CONCATENATE | Pivot tables and charts: summarising data and visual reports | Data cleaning techniques: removing duplicates, handling missing data | What-if analysis & scenario management | Dashboards & charts: creating dynamic Excel dashboards | Regression & forecasting: using Excel for predictive analytics
What happens after the curriculum
The course is just the beginning. Here is the full programme roadmap that takes you from learner to placed professional.
Soft Skills Training
Communication, leadership, critical thinking, and workplace etiquette — the edge that separates good professionals from great ones.
Live Internship
Work on real client briefs with industry mentors. Build experience that goes straight onto your CV before you even graduate.
Freelance Projects Training
Learn how to source, pitch, and deliver freelance projects. Start earning independently while you are still learning.
360° Placement Support
Resume building, mock interviews, LinkedIn optimisation, and direct referrals to our 200+ hiring partners across India and abroad.
Industry Certificate
Final milestoneReceive an inGrade-certified credential recognised by top employers. Share it on LinkedIn and let your skills speak for themselves.
Real-world projects you will build
Every project is designed around actual business problems — giving you a portfolio that speaks louder than any certificate.
Customer Lifetime Value (CLV) Analysis
Analyse purchasing history to calculate CLV for each customer. Use predictive modelling to forecast future CLV and target high-value customers for marketing and loyalty programmes.
Market Basket Analysis for Retail
Analyse transaction data to identify associations between products purchased together. Use association rules mining to uncover patterns and optimise product placement, promotions, and inventory.
Marketing Campaign Effectiveness Analysis
Evaluate marketing campaigns by analysing conversion rates, ROI, and customer acquisition costs. Identify successful strategies and optimise marketing budgets for maximum impact.
Sales Forecasting & Demand Planning
Use predictive models to forecast future sales and product demand, considering seasonality and market trends to optimise inventory management and reduce stockouts.
Risk Management & Fraud Detection
Build risk assessment models to evaluate credit, fraud, or operational risks. Implement fraud detection algorithms to identify and mitigate suspicious activities in real-time.
Supply Chain Analytics & Vendor Management
Analyse data to optimise inventory, minimise lead times, and enhance supplier performance. Identify cost-saving opportunities and process improvements across the supply chain network.
Customer Segmentation & Personalisation
Segment customers based on demographics, geography, or behaviour. Tailor marketing strategies and product recommendations to meet each segment's preferences and needs.
Business Performance Dashboard & KPI Monitoring
Develop interactive dashboards to track KPIs like revenue, profit margins, customer satisfaction, and market share. Visualise data trends and anomalies to support data-driven decisions.
Learn from real industry outcomes
Each case study is drawn from an actual business scenario — so you understand not just the technique, but the impact it creates.
Customer Segmentation for E-commerce
Analyse customer data to segment users by behaviour and preferences. Tailor marketing strategies for each segment to boost conversion rates and satisfaction.
3.2×
Conversion lift
Predictive Maintenance in Manufacturing
Use sensor data to predict equipment failures before they occur. Schedule maintenance preemptively to reduce downtime and operational costs.
40%
Downtime reduction
Inventory Optimisation for Retail
Analyse sales and demand data to optimise inventory levels. Minimise stockouts and excess inventory to improve supply chain efficiency.
28%
Cost savings
Operational Efficiency in Healthcare
Analyse patient flow and resource utilisation data to identify inefficiencies. Optimise workflows and staffing levels to enhance patient care and satisfaction.
35%
Wait time cut
Frequently asked questions
Everything you need to know before you enrol.
Related Case Studies
See how the concepts from this course play out in real companies. Each case study is a deep-dive into an actual business scenario.
Limited time offer
- 6 Months · 36 lessons
- Lifetime access
- Certificate of completion
- 7-day money-back guarantee
Data Science & AI
Data Science & AI is the most comprehensive course for anyone looking to break into the field. You will master Python, statistics, machine learning, deep learning, and real-world AI applications — all taught by a Google data scientist with hands-on projects throughout.
What you will learn
Curriculum
8 modules · 60 lessons · 12 Months
Python fundamentals | NumPy and Pandas | Data manipulation and cleaning | Exploratory data analysis
What happens after the curriculum
The course is just the beginning. Here is the full programme roadmap that takes you from learner to placed professional.
Soft Skills Training
Communication, leadership, critical thinking, and workplace etiquette — the edge that separates good professionals from great ones.
Live Internship
Work on real client briefs with industry mentors. Build experience that goes straight onto your CV before you even graduate.
Freelance Projects Training
Learn how to source, pitch, and deliver freelance projects. Start earning independently while you are still learning.
360° Placement Support
Resume building, mock interviews, LinkedIn optimisation, and direct referrals to our 200+ hiring partners across India and abroad.
Industry Certificate
Final milestoneReceive an inGrade-certified credential recognised by top employers. Share it on LinkedIn and let your skills speak for themselves.
Real-world projects you will build
Every project is designed around actual business problems — giving you a portfolio that speaks louder than any certificate.
Customer Segmentation
Use clustering algorithms on customer data to identify distinct segments for targeted marketing campaigns and personalised experiences.
Sentiment Analysis
Analyse social media or product reviews to determine public sentiment about a brand or product using NLP techniques.
Predictive Maintenance
Use time-series data to predict when equipment or machinery is likely to fail, enabling proactive maintenance scheduling.
Sales Forecasting
Build models to predict future sales based on historical data and external factors like holidays or promotional events.
Credit Risk Analysis
Develop a model to predict the likelihood of loan default based on customer financial and behavioural data.
Churn Prediction
Identify customers likely to leave a service and suggest data-driven retention strategies based on behavioural patterns.
Recommendation System
Create a recommendation engine for products, movies, or music using collaborative filtering or content-based filtering.
Fraud Detection
Use transaction data to detect fraudulent activities in financial transactions using anomaly detection and classification models.
Image Classification
Build a deep learning model that classifies images into categories — such as identifying types of animals or everyday objects.
Traffic Prediction
Analyse traffic patterns and predict future conditions to optimise route planning and reduce urban congestion.
Learn from real industry outcomes
Each case study is drawn from an actual business scenario — so you understand not just the technique, but the impact it creates.
Netflix's Recommendation System
How Netflix uses data science to recommend content, improving user engagement and reducing churn through personalised viewing experiences.
80%
Content via recommendations
Walmart's Demand Forecasting
Walmart's use of data analytics to predict product demand and optimise inventory levels across thousands of stores globally.
16%
Inventory cost reduction
Uber's Surge Pricing
Uber's dynamic pricing model based on real-time supply and demand analytics, balancing driver availability with rider demand.
2.4×
Driver supply in peak hours
Amazon's Fraud Detection
Amazon's machine learning-based system to detect and prevent fraudulent transactions, protecting millions of customers and sellers.
99.9%
Transaction accuracy
Airbnb's Price Optimisation
Airbnb's data-driven approach to optimising listing prices based on market trends, seasonality, and local demand signals.
40%
Revenue uplift for hosts
Google's Search Algorithms
How Google uses data science and machine learning to continuously improve search result relevance and overall user experience.
8.5B
Daily searches served
Spotify's Music Recommendation
Spotify's personalised music recommendations using collaborative filtering and machine learning to surface the right track at the right moment.
31%
Listening time increase
Zillow's House Price Estimation
Zillow's use of predictive modelling to estimate property values and assist buyers and sellers with data-backed pricing decisions.
1.9%
Median error rate
Frequently asked questions
Everything you need to know before you enrol.
Related Case Studies
See how the concepts from this course play out in real companies. Each case study is a deep-dive into an actual business scenario.
Limited time offer
- 12 Months · 60 lessons
- Lifetime access
- Certificate of completion
- 7-day money-back guarantee
Data Analytics
Data Analytics is the entry point for anyone looking to work with data professionally. This course covers the complete analytics stack — from Excel and SQL to Power BI and Tableau — with real datasets and business problems throughout.
What you will learn
Curriculum
6 modules · 35 lessons · 6 Months
Advanced formulas | Pivot tables | Data cleaning | Charts and visualisation
What happens after the curriculum
The course is just the beginning. Here is the full programme roadmap that takes you from learner to placed professional.
Soft Skills Training
Communication, leadership, critical thinking, and workplace etiquette — the edge that separates good professionals from great ones.
Live Internship
Work on real client briefs with industry mentors. Build experience that goes straight onto your CV before you even graduate.
Freelance Projects Training
Learn how to source, pitch, and deliver freelance projects. Start earning independently while you are still learning.
360° Placement Support
Resume building, mock interviews, LinkedIn optimisation, and direct referrals to our 200+ hiring partners across India and abroad.
Industry Certificate
Final milestoneReceive an inGrade-certified credential recognised by top employers. Share it on LinkedIn and let your skills speak for themselves.
Real-world projects you will build
Every project is designed around actual business problems — giving you a portfolio that speaks louder than any certificate.
Supermarket Sales Data Analysis
Analyse basic sales data from a supermarket to understand daily sales trends, product categories, and customer purchasing behaviour.
Student Performance Analysis
Examine a dataset of student grades to identify factors that influence academic performance, such as attendance, study hours, and extracurricular activities.
Weather Data Analysis
Analyse historical weather data to find patterns such as temperature variations, rainfall trends, and seasonal changes over a period of time.
Budget vs. Expense Analysis
Compare monthly budget data with actual expenses to identify areas of overspending and suggest ways to optimise household or personal budgeting.
Public Transportation Optimisation
Analyse transportation data, passenger flow patterns, and traffic congestion to optimise routes, schedules, and infrastructure investments for buses and trains.
Retail Store Optimisation
Analyse customer foot traffic, sales data, and product placement to identify high-traffic areas, popular products, and opportunities for layout improvements.
Energy Consumption Optimisation
Analyse historical energy consumption data, weather patterns, and demographic information to identify consumption patterns and optimise energy distribution.
Healthcare Resource Allocation
Analyse patient admission data, treatment schedules, and resource utilisation to identify bottlenecks, optimise allocation, and improve patient flow.
Learn from real industry outcomes
Each case study is drawn from an actual business scenario — so you understand not just the technique, but the impact it creates.
Walmart's Sales Analytics Engine
How Walmart uses data analytics across 10,000+ stores to track sales trends, optimise shelf placement, and reduce waste through demand-driven inventory decisions.
16%
Inventory cost reduction
FedEx Route Optimisation
How FedEx applies analytics to delivery route data, traffic patterns, and package volumes to cut fuel costs and improve on-time delivery rates globally.
30%
Fuel cost savings
Apollo Hospitals Patient Flow
How Apollo Hospitals used operational analytics to reduce patient wait times, optimise bed allocation, and improve resource utilisation across its hospital network.
40%
Wait time reduction
HDFC Bank Expense Analytics
How HDFC Bank leverages transaction analytics to help customers track spending patterns, flag anomalies, and provide personalised financial planning insights.
2.1×
Customer engagement lift
Frequently asked questions
Everything you need to know before you enrol.
Related Case Studies
See how the concepts from this course play out in real companies. Each case study is a deep-dive into an actual business scenario.
Limited time offer
- 6 Months · 35 lessons
- Lifetime access
- Certificate of completion
- 7-day money-back guarantee
Investment Banking
Investment Banking is the most rigorous finance course on the platform. Taught by a Goldman Sachs VP, you will master financial modelling, DCF valuation, M&A analysis, and IPO processes — the exact skills top banks test in interviews. This comprehensive 6-month programme covers everything from finance fundamentals and economics to advanced valuation, LBO modelling, and data visualisation tools used by top-tier banks.
What you will learn
Curriculum
18 modules · 18 lessons · 6 Months
Introduction to Finance and Financial Management | Key Financial Decisions | Investment Decisions | Financing Decisions | Dividend Decisions | Objectives of Financial Management | Time Value of Money and Financial Applications
What happens after the curriculum
The course is just the beginning. Here is the full programme roadmap that takes you from learner to placed professional.
Soft Skills Training
Communication, leadership, critical thinking, and workplace etiquette — the edge that separates good professionals from great ones.
Live Internship
Work on real client briefs with industry mentors. Build experience that goes straight onto your CV before you even graduate.
Freelance Projects Training
Learn how to source, pitch, and deliver freelance projects. Start earning independently while you are still learning.
360° Placement Support
Resume building, mock interviews, LinkedIn optimisation, and direct referrals to our 200+ hiring partners across India and abroad.
Industry Certificate
Final milestoneReceive an inGrade-certified credential recognised by top employers. Share it on LinkedIn and let your skills speak for themselves.
Real-world projects you will build
Every project is designed around actual business problems — giving you a portfolio that speaks louder than any certificate.
IPO Mechanics and Valuation of Public Offering
Build IPO valuation models from scratch — covering revenue & cost forecasting, 3-statement financial models, and sensitivity and scenario analysis to price a public offering.
Derivatives Options Strategy and Practical Applicability
Apply DCF, Comparable Company Analysis, and Precedent Transaction Analysis to evaluate derivatives strategies using industry-based valuation drivers.
Venture Capital and Private Equity Deal Scenarios
Understand deal structures, synergy analysis, accretion & dilution concepts, and practical deal evaluation across VC and PE transaction scenarios.
Profit and Loss Analysis of Company Balance Sheet / Statements
Analyse equity and debt markets, the IPO and fundraising lifecycle, and the role of investment banks in capital raising through real P&L and balance sheet data.
PMS and Mutual Fund Types and Strategies
Explore Portfolio Management Services and mutual fund structures — covering equity and debt markets, IPO and fundraising lifecycle, and the investment bank's role in capital raising.
Risk Management Techniques for Different Market Conditions
Apply risk management frameworks across equity and debt markets — covering IPO and fundraising lifecycle, reading financial statements, and interlinking them for holistic analysis.
Financial Statement Analysis
Build revenue & cost forecasting models, 3-statement financial models, and sensitivity and scenario analysis by reading Balance Sheet, P&L, and Cash Flow statements.
Financial Modelling (Excel-Based)
Apply DCF, Comparable Company Analysis, and Precedent Transaction Analysis using Excel — building industry-grade financial models with real valuation drivers.
Valuation Techniques
Master deal structuring, synergy analysis, accretion & dilution concepts, and practical deal evaluation across multiple valuation methodologies.
Mergers & Acquisitions (M&A)
Analyse equity and debt markets, IPO and fundraising lifecycle, and the role of investment banks in structuring and executing M&A transactions.
Capital Markets Overview
Read Balance Sheet, P&L, and Cash Flow statements to understand how businesses generate value and interlink financial statements for capital markets analysis.
Startup Valuation & Fundraising
Build startup financial models covering revenue models, cost structures, capital raising strategies, convertible debt, equity financing rounds, and VC structures.
Learn from real industry outcomes
Each case study is drawn from an actual business scenario — so you understand not just the technique, but the impact it creates.
Tata Motors – Jaguar Land Rover Acquisition
Analyse deal rationale, synergies, and valuation impact of Tata's landmark global expansion — examining how an emerging-market automaker acquired a premium British brand.
$2.3B
Acquisition price
Uber — Startup Valuation Model
Build valuation models using growth assumptions, unit economics, and market expansion strategy to assess how Uber justified its multi-billion dollar pre-IPO valuation.
$82B
IPO valuation
Vodafone – Idea Merger
Evaluate restructuring strategy, debt challenges, and survival through consolidation — analysing how two struggling telecom giants merged to compete against Reliance Jio.
₹1.8L Cr
Combined debt load
Zomato IPO
Assess pricing strategy, financials, and investor sentiment in a high-growth tech IPO — understanding how a loss-making startup commanded a premium market valuation.
₹9,375 Cr
IPO size raised
Maruti Suzuki vs Tata Motors
Perform relative valuation using multiples and peer benchmarking — comparing two of India's largest automakers across EV/EBITDA, P/E, and EV/Revenue metrics.
2.4×
Valuation multiple gap
Walmart – Flipkart Deal
Analyse Walmart's strategic entry into Indian e-commerce and the valuation of a high-growth firm — examining how global retail giants price emerging-market acquisitions.
$16B
Acquisition value
Frequently asked questions
Everything you need to know before you enrol.
Related Case Studies
See how the concepts from this course play out in real companies. Each case study is a deep-dive into an actual business scenario.
Limited time offer
- 6 Months · 18 lessons
- Lifetime access
- Certificate of completion
- 7-day money-back guarantee
Generative A.I.
Generative AI is the fastest-growing skill in tech. This course takes you from zero to building real AI-powered products — covering prompt engineering, fine-tuning LLMs, building with APIs, and creating AI applications that solve real business problems.
What you will learn
Curriculum
6 modules · 28 lessons · 4 Months
What is generative AI | LLMs explained | GPT, Claude, Gemini overview | AI landscape 2024
What happens after the curriculum
The course is just the beginning. Here is the full programme roadmap that takes you from learner to placed professional.
Soft Skills Training
Communication, leadership, critical thinking, and workplace etiquette — the edge that separates good professionals from great ones.
Live Internship
Work on real client briefs with industry mentors. Build experience that goes straight onto your CV before you even graduate.
Freelance Projects Training
Learn how to source, pitch, and deliver freelance projects. Start earning independently while you are still learning.
360° Placement Support
Resume building, mock interviews, LinkedIn optimisation, and direct referrals to our 200+ hiring partners across India and abroad.
Industry Certificate
Final milestoneReceive an inGrade-certified credential recognised by top employers. Share it on LinkedIn and let your skills speak for themselves.
Real-world projects you will build
Every project is designed around actual business problems — giving you a portfolio that speaks louder than any certificate.
Image-to-Image Translation
Develop a model that translates images from one domain to another — converting satellite images to maps, enhancing low-resolution images, or transforming sketches into realistic photos.
Text-to-Image Synthesis
Build a model capable of generating realistic images from textual descriptions — creating artwork from written prompts or generating visuals from captions.
Music Generation
Develop a model that generates original music compositions based on input melodies, styles, or genres — enabling musicians and composers to explore new creative possibilities.
Video Frame Interpolation
Build a model that generates intermediate frames between existing video frames, enabling smoother motion and enhancing the quality of slow-motion or fast-motion effects.
Character Animation
Develop a model capable of animating characters based on textual descriptions or audio inputs — enabling real-time generation of animated content for games, movies, or virtual assistants.
Speech Synthesis
Build a model that generates human-like speech from text inputs — enabling the creation of virtual assistants, voice-overs, or personalised audiobooks.
Story Generation
Develop a model that generates coherent and engaging narratives based on input prompts or story outlines — empowering writers to explore new plot ideas and storytelling techniques.
Medical Image Synthesis
Create a model that generates synthetic medical images — such as MRI scans or X-rays — for training ML models in healthcare applications while preserving patient privacy.
Learn from real industry outcomes
Each case study is drawn from an actual business scenario — so you understand not just the technique, but the impact it creates.
DALL·E & Midjourney's Creative Revolution
How OpenAI's DALL·E and Midjourney transformed creative industries by enabling anyone to generate professional-quality artwork from plain text descriptions.
15M+
Daily images generated
ElevenLabs' Voice Cloning Platform
How ElevenLabs built a speech synthesis platform capable of cloning voices with seconds of audio — powering audiobooks, dubbing, and accessibility tools at scale.
99%
Voice naturalness score
Runway ML's AI Video Generation
How Runway ML brought generative video to Hollywood — enabling studios to create, edit, and extend video content using AI, cutting post-production time dramatically.
10×
Faster video editing
Syntegra's Synthetic Patient Data
How Syntegra uses generative AI to produce synthetic medical datasets that mirror real patient populations — enabling drug research and ML model training without privacy risk.
98%
Statistical fidelity to real data
Frequently asked questions
Everything you need to know before you enrol.
Related Case Studies
See how the concepts from this course play out in real companies. Each case study is a deep-dive into an actual business scenario.
Limited time offer
- 4 Months · 28 lessons
- Lifetime access
- Certificate of completion
- 7-day money-back guarantee