AI Analyst
College Program

Lists, Tuples, Sets, Dictionaries

Functions

Lambda Functions

Higher Order Functions

Introduction to EDA and Data Cleaning

Data Summarization and Univariate Analysis

Bivariate Analysis and Correlation Heatmaps

Customizing and Interactive Visualizations

Introduction to Supervised Learning

Linear Regression and Logistic Regression

Decision Trees and Random Forests

Unsupervised Learning and Clustering Methods-With a comparison to SVM

CNN and its working principal

RNN and its types

Transformers

Models

Tokenization and Sentence Splitting

Stopword Removal, Stemming, and Lemmatization

Part-of-Speech (POS) Tagging and Named Entity Recognition (NER)

Introduction to NLTK and SpaCy

Foundational Language Models

LLAMA3 Instruct 8B / 70B

LLAMA3 Chat, LLAMA3 code

E5 embedding, MIXTRAL 8X7B

Para Efficient Fine-tuning

LORA (Low-Rank Adaptation)

QLoRA (Quantized Low-Rank Adaptation)

Comparison and Applications of LORA and QLoRA

Chunking, Embedding, Search

Ranking, Generation, Evaluation

RAG frameworks, LLANGCHAIN basics

LLAMAINDEX, LLANGRAPH

Agentic workflows and function calling

LLANGCHAIN advanced, AUTOGEN

Containerised deployment and Kubernetes - LLM

Deployment