| Standards | SLNo. | Description | Projects |
|---|---|---|---|
| Level 1 | 1 | Gen AI: Overview | |
| 2 | Open Source and Closed Source AI | ||
| 3 | NLP Tasks: Summarization, Translation, Conversation, Sentiment Analysis, Topic Modeling | ||
| 4 | Prompt Engineering - Basics: Zero Shot, One Shot, Few Shot | ||
| 5 | Tokenization | ||
| 6 | Embeddings | ||
| 7 | Search | ||
| Level 2 | 8 | Langchain, Llama Index | |
| 9 | Vector Databases: Qdrant, Milvus, ChromaDB | ||
| 10 | Python Frameworks: FastAPI, Flask, Streamlit, Gradio | ||
| 11 | Prompt Engineering - Advanced: CoT, ReAct | ||
| 12 | Knowledge Base: PDF, CSV, Excel, Text, PPT, Word, Databases, Websites | ||
| 13 | Chunking Methodologies | ||
| Level 3 | 14 | Re-Ranker: Cross Encoders | |
| 15 | MultiQuery Expansion | ||
| 16 | Metadata Filtering | ||
| 17 | Hybrid Search (BM25) | ||
| 18 | Memory Based Retrieval | ||
| 19 | Summarization / Compression of Larger Docs | ||
| Level 4 | 20 | Tool Calling, Function Calling | |
| 21 | Agents: Zero Shot Agents, ReAct Agents, Plan and Execute Agents | ||
| 22 | Tool Kit: Calculator, Websearch, Code Interpreter | ||
| 23 | Persona Based Agents / Role Playing Agents: Product Manager, Doctor | ||
| 24 | Multi Agent Frameworks: LangGraph, Agno, AutoGen, CrewAI | ||
| 25 | |||
| 26 | |||
| 27 | |||
| 28 |