Generative AI & Machine Learning (50 Hrs) (Weekend Batch-8)

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Course Overview

Schedule of Classes

Course Curriculum

1 Subject

Generative AI & Machine Learning (50 Hrs) (Weekend Batch-8)

65 Learning Materials

Traditional AI To Gen AI

Meeting Joining Link - 14th DEC 2024

External Link

Class 1

Video

01:33:23

Class 2

Video

03:01:32

Class 3

Video

00:50:11

Class 4

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03:09:37

Class 5

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02:45:33

Class 6

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02:37:36

Class 7

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03:05:31

Class 8

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03:19:45

Class 9

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00:31:55

Class 10

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02:48:04

Class 11

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01:56:20

Class 12

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01:09:01

Class 13

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02:55:31

Class 14

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02:29:52

Class 15

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01:13:10

Class 16

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02:59:18

Class 17

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02:48:31

Class 18

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03:09:42

Class 19

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02:32:28

Class 20

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00:12:19

Class 21

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03:16:39

Class 22

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02:51:01

Day 1 - Recording

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02:40:05

Transition from Traditional AI to Generative AI

Meeting Joining Link

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Transition from Traditional AI to Generative AI

PDF

Day 2 Recording

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03:08:37

Week 2 ( Day 3-4 ) Recordings

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01:24:53

Day 3 Recording

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01:17:13

Day 4 Recording

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01:24:53

28-12-2024 - Introduction of NLP Pipeline

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03:33:39

29-12-2024 - Introduction word emebedding ,Vectorization technique (BOW.TF-IDF)

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03:36:45

04-12-2025 - NLP : Word2vec Implementaion

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03:10:43

05-01-2025 / NLP :NLP advancements and the introduction of transformers

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02:00:12

11-01-2025 - Class Recording

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02:31:24

12-01-2025 - Class Recording

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03:20:37

25-01-2025 - Class Recording

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03:00:00

26-01-2025 - Class Recording

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03:10:03

01-02-2025 - Class Recording

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02:44:20

02-02-2025 - Class Recording

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02:21:31

08-02-2024 Class Recording

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00:00:00

09-02-2025 Class Recording

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02:19:51

15-02-2025 -Class Recording

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02:56:42

16-02-2025 -- Class recording(S1)

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01:07:04

16-02-2025 Class Recording(S2)

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00:53:41

22-02-2025 Class Recording

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01:42:07

01-03-2025 Class Recording

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02:17:42

02-03-2025 Class recording

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01:57:35

08-03-2025-- Class Recording

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01:35:28

09-03-2025 Class Recording

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02:01:32

Exploring the World of Generative AI: Foundation Models and Language Models

Meeting Joining Link

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Introduction of LLM

PDF

Introduction to Python: Exploring Essential NLP Packages and Their Implementation

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Python Introduction

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Introduction to NLP, NLU, NLG: Exploring the NLP Pipeline and Embeddings

Meeting Joining Link

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Introduction to Vector Embeddings: Bag of Words, TF-IDF, and Word2Vec with Hands-On Implementation for Real-World Use Cases in I

Meeting Joining Link

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Introduction to Transformer Architecture with Detailed Discussion on Its Use in Large Language Models (Generative AI) for Comple

Meeting Joining Link

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Exploring Different Types of Gen AI ModelsIntroduction to the BERT Model: Understanding Tokenization and Its Types with Implemen

Meeting Joining Link

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Implementing BERT with Hugging Face's Transformers Library: Solving Classification Problems Using Custom Data through Fine-Tunin

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Introduction to OpenAI's Large Language GPT Models: Understanding Their Parameters and Applications, Along with an Overview of t

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Hands-On: Designing a Multi-Lingual, Omnichannel Gen AI ChatbotExploring Various Open-Source Models: Hands-On Implementation of

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Converting PDFs to Text and Chunking Techniques in LangChain

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Introduction to RAG: Exploring the Retrieval-Augmented Generation Pipeline, Indexing, Loading, and Vector Database Concepts

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Implementing RAG for Real-World Applications: Developing a RAG-Based Chatbot to Answer Domain-Specific Queries and Explain FAQs,

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Introduction to Vector Indexing: Hands-On Implementation of LLM Index and FAISS with Real-Time Use Cases

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