Join LIVE Demo today for Online Course on Full Stack AI Engineer: LLMs, RAG & Agentic AI Systems
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https://forms.gle/Np1m5q3GGFV8E2qJA
Please join our LIVE demo today to learn more about our upcoming course starting from next week.
Join Zoom Meeting
https://us05web.zoom.us/j/87142448224?pwd=sXZA6nrEtSggqaruadmkuWEo9IFqGY.1
Meeting ID: 871 4244 8224
Passcode: 4P8p09
Course Curriculum
Full Stack AI Engineer – Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Agentic AI Systems
- Statistics
- Classification, Regression and Clustering
- Linear Regression
- Logisitc Regression
- Naive Bayes
- NLP Tokenization
- NLP Classification
- Explaination of Vectorisation
- NLP Classfication using Glove Vectors
- Named Entity Recognition using spacy, nltk and presidio
- Neural Networks
- BERT based classification
- Bert fine tuning for NLP Classfifcation
- LLM introduction
- Prompt Engineering Techniques
- Chain of Thought, Chain of Verification, Tree of Thought
- Langchain Introduction
- Langfuse and Mlflow Introduction
- RAG model
- Vector databases like chromadb, pinecone and MongoDB atlas
- Chunking strategies
- Advanced RAG models
- Hybrid Vector searches for RAG using BM25
- SQL Query Generator
- Multi Agent RAG model
- Agentic Ai
- Langgraph Basics
- Langsmith
Projects covered:
- Deep Research Agent using langchain, langgraph and langsmith.
- RAG Agent
- Chatbot with Streamlit
https://forms.gle/Np1m5q3GGFV8E2qJA
For more details
Mail id registration@kalpracademy.com
Website www.kalpracademy.com
Phone number: 281-942-5455
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