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Course Curriculum

Session 0: Course Material
GenAI – Course Material 00:00:00
Session 1: Introduction to GenAI & LLMs
1. GenAI & LLMs GenAI Introduction 00:46:00
2. GenAI & LLMs LLMs Introduction -2 01:04:00
Session 2: Foundational ML Algorithms for GenAI
3. GenAI & LLMs Linear regression 01:21:00
4. GenAI & LLMs Logistic Regression 00:50:00
5. GenAI & LLMs ANN – Artificial Neural Network 00:57:00
6. GenAI & LLMs ANN – Algorithm 01:00:00
Session 3: Word Embeddings & Text Representations
7. GenAI & LLMs Introduction to Word Embeddings 00:43:00
8. GenAI & LLMs Word2Vec – Examples 00:43:00
Session 4: Hugging Face & Open Source LLM Models
9. GenAI & LLMs Introduction to Hugging Face 00:41:00
10. GenAI & LLMs Hugging Face models 00:46:00
11. GenAI & LLMs Open Source LLM models 00:31:00
Session 5: LangChain Essentials
12. GenAI & LLMs LangChain 00:31:00
13. GenAI & LLMs LangChain 00:40:00
Session 6: Model IO & RAG
14. GenAI & LLMs Model-IO (Lang Chain Models) 00:47:00
15. GenAI & LLMs Model-IO (Lang Chain Models) 00:42:00
16. GenAI & LLMs RAG (Retrieval Augmented Generation) 01:02:00
17. GenAI & LLMs RAG Validation 00:21:00
Session 7: Mastering Chatbots & LangChain Advanced Tools
18. GenAI & LLMs Mastering Chatbots & Memory with Langchain-1 00:40:00
19. GenAI & LLMs Mastering Chatbots & Memory with Langchain -2 00:38:00
20. GenAI & LLMs Langchain Agents and Toolkits 01:28:00
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