E-Learning

Digital Transformation Book: Slides and Video Lectures

Learning Resource Section

Digital Transformation: Navigating the Digital Shift

Chapter-wise slide decks are available. Video lectures are marked as updating soon.

16 Units/Chapters16 Slide Decks AvailableVideos Updating Soon

Use the search box to quickly locate a unit, topic, or keyword inside this subject. Slide links open in a new tab. Video lecture links will be activated as soon as the lectures are uploaded.

Unit 01

Understanding the Digital Shift

From IT enablement to transformation, digital drivers, maturity and frameworks.

Slides PDF

Unit 02

Core Technologies of Digital Transformation

Cloud, social media, IoT, cyber-physical systems, data assets, RPA and automation.

Slides PDF

Unit 03

Digital Strategy and Business Model Innovation

Digital strategy, platform thinking, ecosystems, KPIs and business model renewal.

Slides PDF

Unit 04

Data, Analytics, and Decision Intelligence

Data-to-insight pipeline, analytics types, BI dashboards, experiments, metrics and governance.

Slides PDF

Unit 05

AI, Machine Learning and Decision Intelligence for Business

AI and ML foundations, learning paradigms, and business applications.

Slides PDF

Unit 06

Generative AI and Large Language Models in the Enterprise

LLMs, prompts, RAG, enterprise GenAI workflows, governance and operating models.

Slides PDF

Unit 07

Agentic AI and Autonomous Digital Workflows

Agents, memory, planning, tool use, autonomous workflows, monitoring and validation.

Slides PDF

Unit 08

Process Transformation in the Digital Enterprise

Process redesign, process mining, automation, BPM, KPIs and change management.

Slides PDF

Unit 09

Cloud, Edge, and Industry 4.0 Platforms

Cloud, edge, IoT, digital twins, industrial platforms and vendor strategy.

Slides PDF

Unit 10

Customer Experience, Marketing, and Sales in the Age of AI

AI-enabled CX, marketing analytics, personalization, sales copilots and responsible marketing.

Slides PDF

Unit 11

Digital Operations and Intelligent Supply Chains

Digital operations, supply-chain platforms, intelligent planning, robotics and sustainability.

Slides PDF

Unit 12

People, Culture, and Leadership in the Digital Enterprise

Culture, collaboration, leadership, skills, governance and wellbeing in digital change.

Slides PDF

Unit 13

Cybersecurity, Privacy, and Digital Trust

Cyber risk, privacy, digital trust, securing AI systems, GRC and incident response.

Slides PDF

Unit 14

Law, Policy, and Responsible AI in the Digital Age

AI governance, digital law, bias, explainability, safety, regulation and responsibility.

Slides PDF

Unit 15

Sectoral Playbooks for Digital and AI Transformation

Manufacturing, banking, retail, healthcare, smart cities and cross-sector playbooks.

Slides PDF

Unit 16

Designing the Digital Transformation and AI Roadmap

Roadmap design, North Star, portfolio planning, metrics, governance and maturity evolution.

Slides PDF

No matching resource found in this subject.

Note: Resources are being updated in phases. Please revisit this section for newly uploaded slide decks and video lectures.

Deep Learning and Generative AI

Learning Resource Section

Deep Learning and Generative AI

Slides and videos for deep learning foundations, CNNs, RNNs, autoencoders, GANs and generative models.

6 Units/Chapters0 Slide Decks AvailableVideos Updating Soon

Use the search box to quickly locate a unit, topic, or keyword inside this subject. Slide links open in a new tab. Video lecture links will be activated as soon as the lectures are uploaded.

Unit 01

Deep Learning Fundamentals

Neural networks, activation functions, forward propagation and learning intuition.

Unit 02

Backpropagation and Optimization

Gradient descent, chain rule, loss functions, momentum, RMSProp and Adam.

Unit 03

Convolutional Neural Networks

Kernels, feature maps, pooling, CNN architecture and image applications.

Unit 04

Recurrent Networks and Sequence Learning

RNNs, LSTM, GRU, BPTT, vanishing gradients and NLP applications.

Unit 05

Autoencoders and Representation Learning

Denoising, sparse, contractive and variational autoencoders.

Unit 06

GANs and Generative Models

Generator, discriminator, GAN training, conditional GANs and creative applications.

No matching resource found in this subject.

Note: Resources are being updated in phases. Please revisit this section for newly uploaded slide decks and video lectures.

Large Language Models

Learning Resource Section

Large Language Models

Lecture resources for transformer architectures, pre-training, post-training, prompting, RAG, agents and responsible deployment.

6 Units/Chapters0 Slide Decks AvailableVideos Updating Soon

Use the search box to quickly locate a unit, topic, or keyword inside this subject. Slide links open in a new tab. Video lecture links will be activated as soon as the lectures are uploaded.

Unit 01

Transformer Architecture

Attention, multi-head attention, embeddings, positional encoding and decoder blocks.

Unit 02

Pre-training Objectives

Causal language modeling, masked language modeling, scaling and data preparation.

Unit 03

Fine-tuning and Alignment

Instruction tuning, preference optimization, RLHF, DPO and evaluation.

Unit 04

Prompt Engineering and Context Design

Prompt patterns, context windows, system prompts and structured outputs.

Unit 05

RAG and External Memory

Retrieval pipelines, embeddings, vector databases, grounding and evaluation.

Unit 06

LLM Agents and Governance

Tool use, planning, orchestration, safety, robustness and deployment governance.

No matching resource found in this subject.

Note: Resources are being updated in phases. Please revisit this section for newly uploaded slide decks and video lectures.

Supervised Machine Learning

Learning Resource Section

Supervised Machine Learning

Resources for predictive modelling, regression, classification, trees, ensembles, SVM and evaluation.

6 Units/Chapters0 Slide Decks AvailableVideos Updating Soon

Use the search box to quickly locate a unit, topic, or keyword inside this subject. Slide links open in a new tab. Video lecture links will be activated as soon as the lectures are uploaded.

Unit 01

Introduction to Supervised Learning

Labels, features, training, validation, testing and model generalization.

Unit 02

Regression Models

Linear regression, logistic regression, regularization and business interpretation.

Unit 03

Decision Trees and Rule Learners

Entropy, information gain, pruning, 0R, 1R and RIPPER.

Unit 04

Ensemble Learning

Bagging, Random Forests, AdaBoost, Gradient Boosting, voting and stacking.

Unit 05

Support Vector Machines

Margins, kernels, soft-margin classification and business applications.

Unit 06

Model Evaluation

Confusion matrix, precision, recall, F1-score, ROC, cross-validation and tuning.

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Unsupervised Machine Learning

Learning Resource Section

Unsupervised Machine Learning

Resources for clustering, dimensionality reduction, anomaly detection, association rules and topic modeling.

6 Units/Chapters0 Slide Decks AvailableVideos Updating Soon

Use the search box to quickly locate a unit, topic, or keyword inside this subject. Slide links open in a new tab. Video lecture links will be activated as soon as the lectures are uploaded.

Unit 01

Clustering Foundations

Similarity, distance measures, K-means, hierarchical clustering and cluster validity.

Unit 02

Density and Model-based Clustering

DBSCAN, Gaussian mixtures and discovering complex cluster structures.

Unit 03

Dimensionality Reduction

PCA, t-SNE, UMAP and visualization of high-dimensional data.

Unit 04

Association Rule Mining

Support, confidence, lift, Apriori and market-basket analysis.

Unit 05

Anomaly Detection

Isolation Forest, One-Class SVM and outlier interpretation.

Unit 06

Topic Modeling

LDA, document-term matrices, word clouds and thematic discovery.

No matching resource found in this subject.

Note: Resources are being updated in phases. Please revisit this section for newly uploaded slide decks and video lectures.

Time Series Analysis

Learning Resource Section

Time Series Analysis

Lecture resources for trend, seasonality, smoothing, ARIMA, forecasting and model evaluation.

5 Units/Chapters0 Slide Decks AvailableVideos Updating Soon

Use the search box to quickly locate a unit, topic, or keyword inside this subject. Slide links open in a new tab. Video lecture links will be activated as soon as the lectures are uploaded.

Unit 01

Time Series Foundations

Components, stationarity, autocorrelation and time-indexed data.

Unit 02

Smoothing and Decomposition

Moving averages, exponential smoothing, trend and seasonal decomposition.

Unit 03

AR, MA and ARMA Models

Autoregressive and moving-average models with ACF and PACF interpretation.

Unit 04

ARIMA and SARIMA

Differencing, model identification, seasonal models and diagnostics.

Unit 05

Forecast Evaluation

MAE, RMSE, MAPE, rolling validation and forecast uncertainty.

No matching resource found in this subject.

Note: Resources are being updated in phases. Please revisit this section for newly uploaded slide decks and video lectures.

Ethical Hacking

Learning Resource Section

Ethical Hacking

Resources for ethical disclosure, penetration testing, vulnerability analysis, client-side exploits and malware analysis.

6 Units/Chapters0 Slide Decks AvailableVideos Updating Soon

Use the search box to quickly locate a unit, topic, or keyword inside this subject. Slide links open in a new tab. Video lecture links will be activated as soon as the lectures are uploaded.

Unit 01

Ethics and Ethical Disclosure

Legal boundaries, responsible disclosure and professional conduct.

Unit 02

Penetration Testing Methodology

Reconnaissance, scanning, exploitation, reporting and remediation.

Unit 03

Metasploit and Security Tools

Framework-based exploitation, payloads, modules and controlled testing.

Unit 04

Vulnerability Analysis

Passive analysis, static analysis, reverse engineering and exploit reasoning.

Unit 05

Client-side and Browser Exploits

Windows access control, fuzzing, browser exploitation and secure mitigation.

Unit 06

Malware Analysis Basics

Collecting samples, initial triage, behavior analysis and safe lab practices.

No matching resource found in this subject.

Note: Resources are being updated in phases. Please revisit this section for newly uploaded slide decks and video lectures.

Digital Forensics

Learning Resource Section

Digital Forensics

Resources for forensic process, evidence handling, file systems, memory, network, mobile and cloud forensics.

5 Units/Chapters0 Slide Decks AvailableVideos Updating Soon

Use the search box to quickly locate a unit, topic, or keyword inside this subject. Slide links open in a new tab. Video lecture links will be activated as soon as the lectures are uploaded.

Unit 01

Digital Forensic Process

Identification, preservation, acquisition, examination, analysis and reporting.

Unit 02

Evidence Handling and Chain of Custody

Forensic integrity, hashing, documentation and admissibility.

Unit 03

File System Forensics

Partitions, metadata, deleted files, timelines and artifact recovery.

Unit 04

Memory and Network Forensics

Volatile evidence, packet analysis, logs and incident reconstruction.

Unit 05

Mobile and Cloud Forensics

Device artifacts, cloud evidence, acquisition constraints and reporting.

No matching resource found in this subject.

Note: Resources are being updated in phases. Please revisit this section for newly uploaded slide decks and video lectures.

Spatial Analysis and Geo Intelligence

Learning Resource Section

Spatial Analysis and Geo Intelligence

Resources for GIS, spatial analytics, remote sensing, GeoAI, spatial decision support and geospatial intelligence.

6 Units/Chapters0 Slide Decks AvailableVideos Updating Soon

Use the search box to quickly locate a unit, topic, or keyword inside this subject. Slide links open in a new tab. Video lecture links will be activated as soon as the lectures are uploaded.

Unit 01

GIS and Spatial Data Foundations

Coordinate systems, vector data, raster data, projections and map layers.

Unit 02

Spatial Query and Overlay Analysis

Buffers, joins, overlay, proximity and suitability analysis.

Unit 03

Remote Sensing and Image Interpretation

Satellite imagery, bands, indices, classification and change detection.

Unit 04

Spatial Statistics and Geostatistics

Spatial autocorrelation, interpolation, hot spots and uncertainty.

Unit 05

GeoAI and Spatial Intelligence

Machine learning for geospatial data, object detection, risk mapping and explainability.

Unit 06

Web GIS and Decision Support

Interactive maps, dashboards, spatial services and geospatial applications.

No matching resource found in this subject.

Note: Resources are being updated in phases. Please revisit this section for newly uploaded slide decks and video lectures.

Deep Learning

Learning Resource Section

Deep Learning

A focused resource section for deep learning methods, architectures, optimization and applications.

5 Units/Chapters0 Slide Decks AvailableVideos Updating Soon

Use the search box to quickly locate a unit, topic, or keyword inside this subject. Slide links open in a new tab. Video lecture links will be activated as soon as the lectures are uploaded.

Unit 01

Neural Network Basics

Perceptron, multilayer networks, activations and loss functions.

Unit 02

Training Deep Networks

Backpropagation, initialization, normalization, regularization and dropout.

Unit 03

Optimization Beyond Gradient Descent

Momentum, RMSProp, Adam, learning-rate schedules and convergence issues.

Unit 04

CNN Architectures

Convolution, pooling, feature extraction and image classification models.

Unit 05

Transfer Learning

Pre-trained models, fine-tuning, feature extraction and deployment considerations.

No matching resource found in this subject.

Note: Resources are being updated in phases. Please revisit this section for newly uploaded slide decks and video lectures.

Fundamentals of Supervised Machine Learning

Deep Learning & Generative Artificial Intelligence

Computational Approaches to Complex Data

Data Structure: Theory and Practice

Learn the core and advanced concepts of Data Structure for mastering modern programming skills. An essential skill for all system programmers and application designers.

GIS & Spatial Analytics

Master core and advanced skills of Geo-spatial Analysis and Mapping world arround you. Design smart spatio-temporal solutions and implement industry ready projects

R Programming & Data Visualization

Get control over R language for Statistical Analysis and machine learning applications. Use R for handling small to large data, visualize and develop business solutions.

Artificial Intelligence

Learn the core and advanced concepts of Artificial Intelligence and apply them for designing solutions for real life problems.

Graphics & Image Processing

Develop the theoritical and mathematical foundation of Computer Graphics & Digital Image Processing. A must have course for Visual & Multimedia professionals

Mobile App Design

Learn the concepts of effective and efficient mobile app design on most popular platforms. Communicate and create services for daily and professional purpose

Placement & Internship Training

AI / ML Engineer

Available Tests

Learning Resources

Digital Transformation Book: Slides and Video Lectures

Digital Transformation: Navigating the Digital Shift

Understanding the Digital Shift

Core Technologies of Digital Transformation

Digital Strategy and Business Model Innovation

Data, Analytics, and Decision Intelligence

AI, Machine Learning and Decision Intelligence for Business

Generative AI and Large Language Models in the Enterprise

Agentic AI and Autonomous Digital Workflows

Process Transformation in the Digital Enterprise

Cloud, Edge, and Industry 4.0 Platforms

Customer Experience, Marketing, and Sales in the Age of AI

Digital Operations and Intelligent Supply Chains

People, Culture, and Leadership in the Digital Enterprise

Cybersecurity, Privacy, and Digital Trust

Law, Policy, and Responsible AI in the Digital Age

Sectoral Playbooks for Digital and AI Transformation

Designing the Digital Transformation and AI Roadmap

Deep Learning and Generative AI

Deep Learning and Generative AI

Deep Learning Fundamentals

Backpropagation and Optimization

Convolutional Neural Networks

Recurrent Networks and Sequence Learning

Autoencoders and Representation Learning

GANs and Generative Models

Large Language Models

Large Language Models

Transformer Architecture

Pre-training Objectives

Fine-tuning and Alignment

Prompt Engineering and Context Design

RAG and External Memory

LLM Agents and Governance

Supervised Machine Learning

Supervised Machine Learning

Introduction to Supervised Learning

Regression Models

Decision Trees and Rule Learners

Ensemble Learning

Support Vector Machines

Model Evaluation

Unsupervised Machine Learning

Unsupervised Machine Learning

Clustering Foundations

Density and Model-based Clustering

Dimensionality Reduction

Association Rule Mining

Anomaly Detection

Topic Modeling

Time Series Analysis

Time Series Analysis

Time Series Foundations

Smoothing and Decomposition

AR, MA and ARMA Models

ARIMA and SARIMA

Forecast Evaluation

Ethical Hacking

Ethical Hacking

Ethics and Ethical Disclosure

Penetration Testing Methodology