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Course Curriculum

GenAI Introduction
GenAI Introduction 00:50:00
LLMs Introduction
LLMs Introduction 01:04:00
Linear Regression
Linear Regression 01:21:00
Logistic Regression
Logistic Regression 00:47:00
Assignment-1 00:02:00
Solution for Assignment-1 00:19:00
ANN
ANN – Artificial Neural Network 00:57:00
ANN – Algorithm 01:00:00
Introduction to Word Embeddings
Introduction to Word Embeddings 00:43:00
Word2Vec – Examples 00:43:00
Assignment-2 00:03:00
Solution for Assignment-2 00:36:00
Hugging Face Models
Hugging Face Models Part-1 00:41:00
Hugging Face Models Part-2 00:46:00
Assignment-3 00:03:00
Solution for Assignment-3 00:30:00
LangChain
LangChain Part-1 00:38:00
LangChain part-2 00:40:00
Open Source LLM models 00:30:00
Assignment-4 00:02:00
Solution for Assignment-4 00:17:00
Model-IO (Lang Chain Models)
Model-IO (Lang Chain Models) Part-1 00:38:00
Model-IO (Lang Chain Models) Part-2 00:40:00
Assignment-5 00:05:00
Solution for Assignment-5 00:21:00
RAG (Retrieval Augmented Gen)
RAG (Retrieval Augmented Gen) 01:02:00
RAG Validation 00:21:00
Assignment-6 – RAG 00:07:00
Solution for Assignment-6 00:07:00
Mastering Chatbots & Memory with Langchain
Mastering Chatbots & Memory with Langchain Part-1 00:40:00
Mastering Chatbots & Memory with Langchain Part-2 00:38:00
Assignment-7 – Indian Penal Code Chatbot 00:05:00
Langchain Agents and Toolkits
Langchain Agents and Toolkits 01:18:00
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