Complete Data Science 1. DS Programming Specialization 2. ML Specialization 3. ML Ops Specialization 4. Forecasting Specialization 5. Industry Projects 6. Deep Learning Specialization 7. Generative AI Specialization 8. Optimization for Data Science Specialization 9. Supplementary Courses

The Complete Data Science (AI/ML) Pathway

A Structured Roadmap of self-paced Courses to go from Beginner to Data Science (AI/ML) Expert.

Become Fundamentally Strong in ML and Build Industrial DS Projects.
Includes EVERYTHING.

Plan & Pricing

Steps to Machine Learning Expert

Step 1

Data Science Programming Specialization

Learn complete programming skills for Data Science and practice real use cases.

32 Lessons

High Performance Computing (Python)

Step 2

Machine Learning Specialization

Master complete machine learning concepts, algorithms and applications.

19 Lessons

Linear Algebra for Machine Learning

Actively Updating

Statistics for Data Science

98 Lessons

Data Pre-processing and EDA

54 Lessons

Linear Regression and Regularisation

35 Lessons

Classification:Logistic Regression

25 Lessons

Imbalanced Classification

58 Lessons

Supervised ML Algorithms

27 Lessons

Ensemble Learning

8 Lessons

Fixed and mixed effects modeling

17 Lessons

Recommendation Systems - Deep Dive

13 Lessons

Explaining ML Models: Deep Dive

Step 3

ML Ops Specialization

Learn how to deploy models into actual applications and build your own AI product.

23 Lessons

Docker for Data Science

20 Lessons

ML Deployment in AWS EC2

10 Lessons

Deploy ML Models in AWS Lambda

30 Lessons

Deploy ML Models in AWS Sagemaker

2 Lessons

Automating AWS with Boto3

7 Lessons

Automating AWS with Boto3 Part 2: Deploying PyTorch Models

24 Lessons

PySpark for Data Science - I: Fundamentals

22 Lessons

PySpark for Data Science - II: Statistics for Big Data

21 Lessons

PySpark for Data Science - III: Data Cleaning and Analysis

25 Lessons

PySpark for Data Science - IV: Machine Learning

17 Lessons

PySpark for Data Science - V: ML Pipelines

13 Lessons

MLFlow in Action: Hands on guide to ML experiments

Step 4

Time Series Forecasting Specialization

Become the expert in all time series models and solve real forecasting projects.

31 Lessons

Introduction to Time Series Analysis

2 Lessons

Time Series Analysis - I (Beginners)

2 Lessons

Time Series Analysis - II (Intermediate)

16 Lessons

Time Series Forecasting Part 1 - Statistical Models

15 Lessons

Time Series Forecasting Part 2 - ARIMA Modeling and Tests

27 Lessons

Time Series Forecasting Part 3 - Vector Auto Regression

18 Lessons

Time Series Forecasting III - Singular Spectrum Analysis (SSA)

17 Lessons

Feature Engineering for Time Series Projects - I

15 Lessons

Feature Engineering for Time Series Projects - II

Step 5

Industry Projects Specialization

Solve industry projects with real data and complexities, just like on-the-job Data Scientist.

31 Lessons

Estimating Customer Lifetime Value for Business

41 Lessons

Microsoft Malware Detection Project

51 Lessons

Credit Card Fraud Detection

57 Lessons

Restaurant Visitor Forecasting

35 Lessons

Optimizing Marketing Budget Spend with Market Mix Modelling

26 Lessons

Predict Rating given Amazon Product Reviews using NLP

11 Lessons

Uplift modeling: Estimating incremental impact of marketing campaigns

18 Lessons

Uplift modeling Part 2: Modeling Strategies

16 Lessons

Survival Analysis Part 1: Predicting Time to Event in real world applications

13 Lessons

Survival Analysis Part 2: Predicting Time to Event for lungs cancer patients

18 Lessons

Attribution Models in Marketing

10 Lessons

Dynamic Pricing Using Multi Armed Bandit (Reinforcement Learning)

14 Lessons

Reinforcement learning for Online Ad Serving with Multi Armed Bandits

13 Lessons

Portfolio Optimization of volatile assets Efficient Frontier Python

12 Lessons

Conjoint Analysis - Project Deep Dive

Step 6

Deep Learning Specialization

Master new age computer vision and natural language processing and build your own applications.

18 Lessons

Foundations of Deep Learning in Python

30 Lessons

Foundations of Deep Learning Part-2

42 Lessons

Applied Deep Learning with PyTorch

24 Lessons

Detecting Defects in Steel Sheets with ComputerVision

15 Lessons

Project Text Generation using Language Models with LSTM

18 Lessons

Project Classifying Sentiment of Reviews using BERT NLP

Step 7

Generative AI Specialization

Learn the art of creating AI models that generate content, including text, images, and music, by diving deep into neural networks, transformers, and cutting-edge generative algorithms.

Actively Updating

Mastering LangChain: Part 1

8 Lessons

LangGraph 101

10 Lessons

LangGraph 201

16 Lessons

Retrieval Augmented Generation (RAG) Techniques

11 Lessons

Production based RAG System

19 Lessons

Building Agentic RAG

9 Lessons

Building a complete Agentic AI App - Advanced

6 Lessons

Model Context Protocol

6 Lessons

Building LLM Apps with AWS Bedrock

11 Lessons

Building GraphRAG From Scratch

Step 8

Optimization for Data Science

Dives into the core techniques and algorithms used to solve complex problems in AI and ML. Master optimization methods to enhance model performance and streamline data-driven decision-making.