View upcoming live classes and sessions for our active cohorts.
Variables, data types, loops, conditionals, list comprehensions, functions, and error handling.
Welcome and LMS onboarding
Welcome and LMS onboarding
Welcome and LMS onboarding
Welcome and LMS onboarding
Welcome and LMS onboarding
Welcome and LMS onboarding
Dictionaries, sets, tuples, lambda, map/filter, file reading/writing, and version control with Git.
Array creation, slicing, broadcasting, universal functions, and linear algebra with NumPy.
Course Orientation and Tools setup
Course Orientation and Tools setup
Course Orientation and Tools setup
Course Orientation and Tools setup
Course Orientation and Tools setup
Course Orientation and Tools setup
DataFrames, loc/iloc, merging, handling missing data, GroupBy, pivot tables, and exploratory data analysis.
Detailed session on Role of the Data Engineer
Detailed session on History & Evolution of AI
Detailed session on AI vs. Traditional Automation
Detailed session on Introduction to Excel & Functions
Detailed session on Python Syntax & Environments
Detailed session on What is BI? & Market Overview
Log transform, binning, polynomial features, one-hot encoding, label encoding, target encoding, and StandardScaler.
Detailed session on Cloud vs. On-Premise Architectures
Detailed session on AI Ethics & Responsible Innovation
Detailed session on Introduction to Generative AI
Detailed session on Data Cleaning & Basic Analysis
Detailed session on Git, GitHub & Versioning
Detailed session on Navigating the Analytics Ecosystem
Train/validation/test splits, stratified sampling, K-Fold CV, preventing data leakage, and building sklearn pipelines.
Detailed session on Query Performance Optimization
Detailed session on NumPy & Scientific Computing
Detailed session on Structuring Effective Prompts
Detailed session on Pivot Tables & Advanced Functions
Detailed session on Data Manipulation with Pandas
Detailed session on Essential Business Formulas
Least squares, gradient descent, normal equation, sigmoid, log-loss, and L1/L2 regularisation — implemented from scratch then compared with sklearn.
Detailed session on Advanced Analytical Window Functions
Detailed session on Data Manipulation with Pandas
Detailed session on AI for Daily Operational Tasks
Detailed session on Building Excel Dashboards
Detailed session on Visualizing with Matplotlib & Seaborn
Detailed session on Data Formatting & Structures
ROC-AUC, PR curves, threshold tuning, confusion matrix, regression metrics (RMSE, MAE, R²) — Module 1 Assessment & Project briefing.
Detailed session on PostgreSQL & MySQL Administration
Detailed session on Exploratory Data Analysis (EDA)
Detailed session on Mapping Business Processes
Detailed session on Relational Database Concepts & SQL Basics
Detailed session on Handling Missing Data & Scaling
Detailed session on VLOOKUP, INDEX & MATCH
Gini impurity, entropy, information gain, bagging, OOB error, feature importance — build a Decision Tree from scratch.
Detailed session on Working with MongoDB & Cassandra
Detailed session on Advanced Data Cleaning Techniques
Detailed session on Event-Driven Logical Architectures
Detailed session on Joins, Grouping & Aggregations
Detailed session on Cross-Validation & Pipeline Construction
Detailed session on Advanced Pivot Tables & Slicers
Class weighting, SMOTE, random undersampling, Tomek Links — measure precision/recall before and after resampling.
Detailed session on OS & Sys Module Scripting
Detailed session on Classification vs. Regression Paradigms
Detailed session on Navigating the Zapier Ecosystem
Detailed session on Subqueries & Window Functions
Detailed session on Linear Regression Fundamentals
Detailed session on Basic SELECT Statements & Syntax
Hyperplane, margin maximisation, soft margin, hinge loss, RBF & polynomial kernels — tune C and Gamma.
Detailed session on Parallel Processing in Python
Detailed session on Evaluating Supervised Models
Detailed session on Automating CRM Integrations
Detailed session on Database Architecture & Optimization
Detailed session on Logistic Regression for Classification
Detailed session on Filtering, Sorting & Limit clauses
Gaussian, Multinomial & Bernoulli Naive Bayes, TF-IDF vectorisation, Laplace smoothing — spam/news classifier.
Detailed session on Designing ETL Architectures
Detailed session on Dimensionality Reduction
Detailed session on Building Visual Workflows
Detailed session on Python Basics & Data Structures
Detailed session on Decision Trees & Entropy
Detailed session on Grouping & Aggregate Functions
Boosting mechanics, exponential loss, learning rate, early stopping, and LightGBM leaf-wise growth.
Detailed session on Introduction to Apache Airflow
Detailed session on K-Means Clustering Applications
Detailed session on Conditional Routing & Logic
Detailed session on Data Wrangling with Pandas
Detailed session on Random Forests & Ensemble Learning
Detailed session on Advanced Table Joins
Gaussian processes, acquisition functions, Optuna trials, AutoML with TPOT — tune XGBoost and compare.
Break Week - No Classes
Break Week - No Classes
Break Week - No Classes
Break Week - No Classes
Break Week - No Classes
Break Week - No Classes
K-Means objective & k-means++, elbow method, DBSCAN (eps, min_samples, noise), Hierarchical clustering & dendrograms.
Covariance matrix, eigenvalue decomposition, explained variance — PCA from scratch; t-SNE perplexity tuning; UMAP global structure. Module 2 Assessment & Project briefing.
Detailed session on Data Lakes with AWS S3 & Redshift
Detailed session on Forward & Backpropagation Algorithms
Detailed session on Self-Hosted n8n Operations
Detailed session on Statistical Modeling in Python
Detailed session on Support Vector Machines & Kernels
Detailed session on Python Data Types & Variables
Timestamp indexing, resampling, rolling windows, stationarity (ADF test), ACF/PACF, ARIMA & SARIMA modelling.
Detailed session on GCP BigQuery Fundamentals
Detailed session on Building Networks with Keras & TensorFlow
Detailed session on Building Complex Enterprise Automations
Detailed session on Building Automation Scripts
Detailed session on Naive Bayes & Text Classification
Detailed session on Loops & Control Flow in Python
Prophet changepoints, holiday effects, uncertainty intervals; user-item matrices, cosine similarity, ALS matrix factorisation.
Detailed session on Star vs. Snowflake Schemas
Detailed session on Convolutional Neural Networks (CNNs)
Detailed session on Airtable Relational Databases
Detailed session on Power BI Interface & Power Query
Detailed session on K-Nearest Neighbors & Clustering Intro
Detailed session on Analyzing Business Trends with Scripts
GridSearchCV vs RandomizedSearchCV vs Bayesian Optuna; from classical ML to transformers: attention, BERT, GPT, T5.
Detailed session on Data Modeling with dbt
Detailed session on Image Augmentation & Processing
Detailed session on Automated Executive Dashboards
Detailed session on DAX Expressions & Relationships
Detailed session on Gradient Boosting & XGBoost Mastery
Detailed session on Python for Finance & Operations
Perceptron, backpropagation, self-attention mechanism, GPT decoder-only vs BERT bidirectional encoder, prompt engineering basics.
Detailed session on Hadoop Ecosystem & HDFS
Detailed session on Tokenization & Text Processing
Detailed session on Webhooks Integration Basics
Detailed session on Introduction to Tableau
Detailed session on K-Means & Principal Component Analysis (PCA)
Detailed session on Color Theory & Layouts
Chains, prompt templates, memory types (buffer, summary, entity), multi-step prompts, chain-of-thought and ReAct patterns.
Detailed session on Apache Spark & PySpark Processing
Detailed session on Sentiment Analysis & Language Models
Detailed session on Securing Connected Infrastructure
Detailed session on Advanced Tableau Dashboards
Detailed session on Anomaly Detection Systems
Detailed session on Presenting Dashboards to Executives
Document loaders, text splitters, FAISS & Chroma embeddings, custom tools, agent types — build an end-to-end RAG chatbot.
Detailed session on Kafka Architecture & Setup
Detailed session on Understanding Transformers Architecture
Detailed session on Designing Conversational Chatbots
Detailed session on Visualization Best Practices
Detailed session on Forecasting with Time Series Data
Detailed session on Power BI Desktop Interface
Generator/discriminator minimax game, DCGAN, WGAN, StyleGAN; forward/reverse diffusion, U-Net, Stable Diffusion.
Detailed session on Real-Time Streaming with Spark
Detailed session on Advanced Prompt Engineering
Detailed session on Support Ticketing Automation
Detailed session on Crafting Business Narratives
Detailed session on Building Collaborative Filtering Engines
Detailed session on Data Ingestion & Power Query
Streamlit/Flask LLM app deployment, API key management, bias in generative models, responsible AI. Module 3 Assessment & Project briefing.
Detailed session on Building REST APIs for Pipelines
Detailed session on Model Registries & Versioning
Detailed session on Optimizing Marketing Automation
Detailed session on ETL Architecture & Principles
Detailed session on Hyperparameter Tuning with Optuna
Detailed session on Mastering DAX Functions
Code review session, debugging, README polish, GitHub portfolio curation, CV & LinkedIn optimisation.
Detailed session on Connecting Multiple Data Sources
Detailed session on Webhooks & Automated Triggers
Detailed session on Deploying AI via REST APIs
Detailed session on HR & Operations Transformation
Detailed session on Transforming Messy Real-World Data
Detailed session on Machine Learning Architecture for AI
Capstone demos, final assessment debrief, certificate award, alumni network onboarding, and career next steps.
Detailed session on Navigating the Tableau Workspace
Detailed session on Data Privacy, GDPR & PII
Detailed session on Integrating AI into Workflows
Detailed session on Frameworks for AI Agents
Detailed session on Translating Technical Findings
Detailed session on Introduction to Large Language Models
Detailed session on Building Your First Worksheets
Detailed session on Identity & Access Control Systems
Detailed session on Customer Support AI Agents
Detailed session on Designing Autonomous Systems
Detailed session on Executive Reporting & Strategy
Detailed session on Developing Apps with LangChain
Detailed session on Calculated Fields in Tableau
Detailed session on Infrastructure for Serving ML Models
Detailed session on Multi-Agent AI Systems
Detailed session on Strategic Transformation Formulation
Detailed session on Capstone Scoping & Data Setup
Detailed session on Deploying Generative AI Applications
Detailed session on Interactive Executive Dashboards
Detailed session on Final Capstone Pipeline Deployment
Detailed session on Executive Capstone Delivery
Detailed session on Final Capstone Presentation
Detailed session on Final Capstone Defense
Detailed session on Capstone Finalization & Portfolio Review
No upcoming schedules found for this course.
No upcoming schedules found for this course.
No upcoming schedules found for this course.
No upcoming schedules found for this course.
No upcoming schedules found for this course.
No upcoming schedules found for this course.
No upcoming schedules found for this course.
No upcoming schedules found for this course.
No upcoming schedules found for this course.
No upcoming schedules found for this course.
No upcoming schedules found for this course.
Welcome and LMS onboarding
Course Orientation and Tools setup
Detailed session on What is BI? & Market Overview
Detailed session on Navigating the Analytics Ecosystem
Detailed session on Essential Business Formulas
Detailed session on Data Formatting & Structures
Detailed session on VLOOKUP, INDEX & MATCH
Detailed session on Advanced Pivot Tables & Slicers
Detailed session on Basic SELECT Statements & Syntax
Detailed session on Filtering, Sorting & Limit clauses
Detailed session on Grouping & Aggregate Functions
Detailed session on Advanced Table Joins
Break Week - No Classes
Detailed session on Python Data Types & Variables
Detailed session on Loops & Control Flow in Python
Detailed session on Analyzing Business Trends with Scripts
Detailed session on Python for Finance & Operations
Detailed session on Color Theory & Layouts
Detailed session on Presenting Dashboards to Executives
Detailed session on Power BI Desktop Interface
Detailed session on Data Ingestion & Power Query
Detailed session on Mastering DAX Functions
Detailed session on Connecting Multiple Data Sources
Detailed session on Navigating the Tableau Workspace
Detailed session on Building Your First Worksheets
Detailed session on Calculated Fields in Tableau
Detailed session on Interactive Executive Dashboards
Welcome and LMS onboarding
Course Orientation and Tools setup
Detailed session on History & Evolution of AI
Detailed session on AI Ethics & Responsible Innovation
Detailed session on NumPy & Scientific Computing
Detailed session on Data Manipulation with Pandas
Detailed session on Exploratory Data Analysis (EDA)
Detailed session on Advanced Data Cleaning Techniques
Detailed session on Classification vs. Regression Paradigms
Detailed session on Evaluating Supervised Models
Detailed session on Dimensionality Reduction
Detailed session on K-Means Clustering Applications
Break Week - No Classes
Detailed session on Forward & Backpropagation Algorithms
Detailed session on Building Networks with Keras & TensorFlow
Detailed session on Convolutional Neural Networks (CNNs)
Detailed session on Image Augmentation & Processing
Detailed session on Tokenization & Text Processing
Detailed session on Sentiment Analysis & Language Models
Detailed session on Understanding Transformers Architecture
Detailed session on Advanced Prompt Engineering
Detailed session on Model Registries & Versioning
Detailed session on Deploying AI via REST APIs
Detailed session on Integrating AI into Workflows
Detailed session on Customer Support AI Agents
Detailed session on Multi-Agent AI Systems
Detailed session on Executive Capstone Delivery
Welcome and LMS onboarding
Course Orientation and Tools setup
Detailed session on AI vs. Traditional Automation
Detailed session on Introduction to Generative AI
Detailed session on Structuring Effective Prompts
Detailed session on AI for Daily Operational Tasks
Detailed session on Mapping Business Processes
Detailed session on Event-Driven Logical Architectures
Detailed session on Navigating the Zapier Ecosystem
Detailed session on Automating CRM Integrations
Detailed session on Building Visual Workflows
Detailed session on Conditional Routing & Logic
Break Week - No Classes
Detailed session on Self-Hosted n8n Operations
Detailed session on Building Complex Enterprise Automations
Detailed session on Airtable Relational Databases
Detailed session on Automated Executive Dashboards
Detailed session on Webhooks Integration Basics
Detailed session on Securing Connected Infrastructure
Detailed session on Designing Conversational Chatbots
Detailed session on Support Ticketing Automation
Detailed session on Optimizing Marketing Automation
Detailed session on HR & Operations Transformation
Detailed session on Frameworks for AI Agents
Detailed session on Designing Autonomous Systems
Detailed session on Strategic Transformation Formulation
Detailed session on Final Capstone Presentation
Variables, data types, loops, conditionals, list comprehensions, functions, and error handling.
Welcome and LMS onboarding
Dictionaries, sets, tuples, lambda, map/filter, file reading/writing, and version control with Git.
Array creation, slicing, broadcasting, universal functions, and linear algebra with NumPy.
Course Orientation and Tools setup
DataFrames, loc/iloc, merging, handling missing data, GroupBy, pivot tables, and exploratory data analysis.
Detailed session on Python Syntax & Environments
Log transform, binning, polynomial features, one-hot encoding, label encoding, target encoding, and StandardScaler.
Detailed session on Git, GitHub & Versioning
Train/validation/test splits, stratified sampling, K-Fold CV, preventing data leakage, and building sklearn pipelines.
Detailed session on Data Manipulation with Pandas
Least squares, gradient descent, normal equation, sigmoid, log-loss, and L1/L2 regularisation — implemented from scratch then compared with sklearn.
Detailed session on Visualizing with Matplotlib & Seaborn
ROC-AUC, PR curves, threshold tuning, confusion matrix, regression metrics (RMSE, MAE, R²) — Module 1 Assessment & Project briefing.
Detailed session on Handling Missing Data & Scaling
Gini impurity, entropy, information gain, bagging, OOB error, feature importance — build a Decision Tree from scratch.
Detailed session on Cross-Validation & Pipeline Construction
Class weighting, SMOTE, random undersampling, Tomek Links — measure precision/recall before and after resampling.
Detailed session on Linear Regression Fundamentals
Hyperplane, margin maximisation, soft margin, hinge loss, RBF & polynomial kernels — tune C and Gamma.
Detailed session on Logistic Regression for Classification
Gaussian, Multinomial & Bernoulli Naive Bayes, TF-IDF vectorisation, Laplace smoothing — spam/news classifier.
Detailed session on Decision Trees & Entropy
Boosting mechanics, exponential loss, learning rate, early stopping, and LightGBM leaf-wise growth.
Detailed session on Random Forests & Ensemble Learning
Gaussian processes, acquisition functions, Optuna trials, AutoML with TPOT — tune XGBoost and compare.
Break Week - No Classes
K-Means objective & k-means++, elbow method, DBSCAN (eps, min_samples, noise), Hierarchical clustering & dendrograms.
Covariance matrix, eigenvalue decomposition, explained variance — PCA from scratch; t-SNE perplexity tuning; UMAP global structure. Module 2 Assessment & Project briefing.
Detailed session on Support Vector Machines & Kernels
Timestamp indexing, resampling, rolling windows, stationarity (ADF test), ACF/PACF, ARIMA & SARIMA modelling.
Detailed session on Naive Bayes & Text Classification
Prophet changepoints, holiday effects, uncertainty intervals; user-item matrices, cosine similarity, ALS matrix factorisation.
Detailed session on K-Nearest Neighbors & Clustering Intro
GridSearchCV vs RandomizedSearchCV vs Bayesian Optuna; from classical ML to transformers: attention, BERT, GPT, T5.
Detailed session on Gradient Boosting & XGBoost Mastery
Perceptron, backpropagation, self-attention mechanism, GPT decoder-only vs BERT bidirectional encoder, prompt engineering basics.
Detailed session on K-Means & Principal Component Analysis (PCA)
Chains, prompt templates, memory types (buffer, summary, entity), multi-step prompts, chain-of-thought and ReAct patterns.
Detailed session on Anomaly Detection Systems
Document loaders, text splitters, FAISS & Chroma embeddings, custom tools, agent types — build an end-to-end RAG chatbot.
Detailed session on Forecasting with Time Series Data
Generator/discriminator minimax game, DCGAN, WGAN, StyleGAN; forward/reverse diffusion, U-Net, Stable Diffusion.
Detailed session on Building Collaborative Filtering Engines
Streamlit/Flask LLM app deployment, API key management, bias in generative models, responsible AI. Module 3 Assessment & Project briefing.
Detailed session on Hyperparameter Tuning with Optuna
Code review session, debugging, README polish, GitHub portfolio curation, CV & LinkedIn optimisation.
Detailed session on Machine Learning Architecture for AI
Capstone demos, final assessment debrief, certificate award, alumni network onboarding, and career next steps.
Detailed session on Introduction to Large Language Models
Detailed session on Developing Apps with LangChain
Detailed session on Deploying Generative AI Applications
Detailed session on Capstone Finalization & Portfolio Review
Welcome and LMS onboarding
Course Orientation and Tools setup
Detailed session on Introduction to Excel & Functions
Detailed session on Data Cleaning & Basic Analysis
Detailed session on Pivot Tables & Advanced Functions
Detailed session on Building Excel Dashboards
Detailed session on Relational Database Concepts & SQL Basics
Detailed session on Joins, Grouping & Aggregations
Detailed session on Subqueries & Window Functions
Detailed session on Database Architecture & Optimization
Detailed session on Python Basics & Data Structures
Detailed session on Data Wrangling with Pandas
Break Week - No Classes
Detailed session on Statistical Modeling in Python
Detailed session on Building Automation Scripts
Detailed session on Power BI Interface & Power Query
Detailed session on DAX Expressions & Relationships
Detailed session on Introduction to Tableau
Detailed session on Advanced Tableau Dashboards
Detailed session on Visualization Best Practices
Detailed session on Crafting Business Narratives
Detailed session on ETL Architecture & Principles
Detailed session on Transforming Messy Real-World Data
Detailed session on Translating Technical Findings
Detailed session on Executive Reporting & Strategy
Detailed session on Capstone Scoping & Data Setup
Detailed session on Final Capstone Defense
Welcome and LMS onboarding
Course Orientation and Tools setup
Detailed session on Role of the Data Engineer
Detailed session on Cloud vs. On-Premise Architectures
Detailed session on Query Performance Optimization
Detailed session on Advanced Analytical Window Functions
Detailed session on PostgreSQL & MySQL Administration
Detailed session on Working with MongoDB & Cassandra
Detailed session on OS & Sys Module Scripting
Detailed session on Parallel Processing in Python
Detailed session on Designing ETL Architectures
Detailed session on Introduction to Apache Airflow
Break Week - No Classes
Detailed session on Data Lakes with AWS S3 & Redshift
Detailed session on GCP BigQuery Fundamentals
Detailed session on Star vs. Snowflake Schemas
Detailed session on Data Modeling with dbt
Detailed session on Hadoop Ecosystem & HDFS
Detailed session on Apache Spark & PySpark Processing
Detailed session on Kafka Architecture & Setup
Detailed session on Real-Time Streaming with Spark
Detailed session on Building REST APIs for Pipelines
Detailed session on Webhooks & Automated Triggers
Detailed session on Data Privacy, GDPR & PII
Detailed session on Identity & Access Control Systems
Detailed session on Infrastructure for Serving ML Models
Detailed session on Final Capstone Pipeline Deployment