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Cohort 138 - (Da/Ds/GenAI/AI - PB)
Course content
46 sections | 104 lessons
Expand all sections
Link and Passcode & Updates Section
1 Lessons
Induction Session - 7th December
1 Lessons
Data Science Overview/ Basics of Excel
2 Lessons
Data Science Overview/ Excel - Absolute Ref & IF, IFS
3 Lessons
Data Science IFS, LookUp, Logical (AND, OR)
2 Lessons
Statistics and Excel Intermediate
2 Lessons
Statistics and Excel Intermediate
2 Lessons
Statistics and Excel Completion
3 Lessons
Installation and Basics of Power BI
2 Lessons
Data Warehouse Concepts and Data Modelling in Power BI
2 Lessons
Power BI Charts and Graphs
2 Lessons
Power BI Charts, Graphs and Github
2 Lessons
Power BI Charts, Graphs & AI Visuals
2 Lessons
MySQL Fundamentals and Hands On
2 Lessons
MySQL Fundamentals and Hands On
2 Lessons
31st January
3 Lessons
1st February
3 Lessons
7th February
1 Lessons
8th February
1 Lessons
MYSQL Advance
2 Lessons
Python Basics
3 Lessons
Python (Data Types and Data Structures) & MYSQL Case Statement
2 Lessons
Python (Data Structures)
2 Lessons
Python (Control Flow)
3 Lessons
Python (Functions and Modules - Math & Pandas) .
2 Lessons
Python (Pandas and Data Analysis)
3 Lessons
Machine Learning and Exploratory Data Analysis
3 Lessons
MYSQL + Python + Linear Regression Multiple Linear Regression (MLOps Life Cycle)
1 Lessons
MYSQL + Python + Linear Regression Multiple Linear Regression (MLOps Life Cycle)
3 Lessons
Multiple Linear Regression + KNN regressor + Classification Multi-class Classification + Code Modularisation.
2 Lessons
29th March
1 Lessons
Unsupervised Learning - K Means and Hierarchical Clustering Inferential Stats and Numpy.
1 Lessons
Unsupervised Learning - K Means and Hierarchical Clustering Inferential Stats and Numpy.
2 Lessons
Deep Learning - Fundamentals and Practicals Regression Advanced Deep learning with Capstone Project 2 & 3
1 Lessons
Deep Learning - Fundamentals and Practicals Regression Advanced Deep learning with Capstone Project 2 & 3
2 Lessons
NLP and GEN AI Fundamentals & transformer Archiecture
2 Lessons
Embeddings and vector Database
2 Lessons
End to End connecting with Google gemini API
2 Lessons
Career Building Session
1 Lessons
Career Building Session 2
2 Lessons
Introduction and Overview of GEN AI 2. LLM and Transformer Architecture 3. Fundamental Concepts of NLP in Python
2 Lessons
1. Vector Database and Embeddings 2. Hands on with Python and Vector Database - FAISS
2 Lessons
16 May GenAI Session
2 Lessons
18 May GenAI Session
2 Lessons
Further Placement Session - 27th May 2026
1 Lessons
Resumes building and Sample Interview Questions
15 Lessons
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