Example Curriculum
Available in
days
days
after you enroll
- Session 1 - Generative AI | LLM Model | Few shot Prompt |Chain of thought concept |AI Agents |Frame Work |LangChain |OpenAi Play Ground |Lang chain Tools|Provider|Python |Install Lang chain |Create LLm model |Import Agent |Import Tool|Google Search Library |Google API |SerpApi (110:29)
- Summary - Session 1
- Session 2 - AI Agent |Langchain Framework |Tools|SerpAPI|Import Google search |create Env file |Create SerpApi Key|Model + Agent + Tools = Chain|Verbose|Create a Chain of Google search (67:37)
- Summary - Session 2
- Session 3 - Use case of CLI|Agent |Tool|Bash shell|Launch Ec2 instance|install pip|install lang chain model |Create a Python program |Shell tool |Create a Llm model for the CLI |Install AWS commands |Launch Ec2 instance with LLm model (100:13)
- Session - Session 3
- Session 4 - Vector |RAG|Argument |GPT4|Data loader tools|CSV loader|Encoding|Embedding model |Vector database|Faiss|Argument data|Prompt Template |Create LLm Chain |StreamLit library (112:52)
- Summary - Session 4
- 5. LLMOps - Langchain Training By Mr. Vimal Daga on 9th November_GMT20241109-124108 (126:14)
- Summary - Session 5