Introduction

1h 4m 24s

S01 Python Rules & Variables

1h 6m 38s

S02 Data Types P1

1h 1m 27s

S03 Data Types P2

54m 22s

S04 Operators

49m 9s

S05 Conditional Statements

58m 28s

S06 Loopings

50m 36s

S07 Patterns & Functions

59m

S08 Lambda Functions

58m 14s

S09 Mock Test P1

45m 47s

S10 File Handling & Exception Handling

46m 56s

S11 OOPS & Introduction to Numpy

54m 58s

S12 Numpy Operations P1

49m

S13 Numpy Operations P2

58m 35s

S14 Numpy Methods & Pandas Basics

1h 26m 33s

S15 Pandas Methods

50m 51s

S16 Matplotlib & Seaborn Libraries

54m 13s

S17 Statistics & EDA

49m 40s

S18 Data Distributions & EDA

51m 14s

S19 Exploratory Data Analysis P1

43m 1s

S20 Exploratory Data Analysis P2

55m 50s

S21 EDA With KPI Requirements

1h 4m 12s

S22 Machine Learning

59m 51s

S23 Linear Regression

1h 38s

S24 Regression Models

1h 2m 4s

S25 Classification Algorithms

1h 41m 4s

S26 Deployment of Classification Algorithms & Clustering

2h 18m 4s

S27 Association Rule Learning

51m 55s

S28 Deep Learning, Techniques & Models of Deep Learning

51m 58s

S29 Deep Learning Algorithms & Introduction to NLP

55m 18s

S30 What is NLP & Techniques of NLP

44m 10s

S31 Recommendation Engine

58m

S32 Gen AI Models, LLMS & Transformer Models

1h 38m 13s

S33 Prompt Engineering & Rag Architecture

1h 6m

S34 Chunking Strategies, Embeddings, Vector DBS

58m 31s

S35 Langchain Langraph, Langsmith & Building The Chatbot

54m 36s

S36 Evaluation Metrics For LLMs & Fine Tuning The LLMs

59m 59s

S37 MLOps & Agentic AI

54m 10s

S38 Building Single & Multi Agents, Agentic AI

52m 53s

S39 Bedrock

1h 2m 26s

S40 Resume Preparation

1h 20m 18s