Data Analytics Course Syllabus

Module 1 AI, Machine Learning & Generative AI Foundations

Module 2 Working with LLM APIs & AI Application Development

Module 3 Prompt Engineering for Data Analysts

Module 4 AI-Powered Data Analysis & Exploratory Data Analysis (EDA)

Module 5 Natural Language to SQL (NL2SQL)

Module 6 AI-Powered Reporting & Dashboard Automation

Module 7 Vector Databases & Retrieval-Augmented Generation (RAG)

Module 8 Enterprise RAG & AI Copilots

Module 9 AI Agents & Workflow Automation

Module 10 Deployment, LLMOps, Ethics & Capstone Project

2 WEEKS BEGINNER FRIENDLY

Module 1 - AI, Machine Learning & Generative AI Foundations

Build a strong understanding of Artificial Intelligence, Machine Learning, Deep Learning, and Generative AI. Learn transformer architecture, Large Language Models (LLMs), embeddings, context windows, and how modern AI systems generate responses. Explore practical AI applications in data analytics using ChatGPT, Gemini, and Claude.

AI vs ML vs Deep Learning vs Generative AI

Types of Generative AI Models

LLMs, GANs & Diffusion Models

Transformer Architecture

Tokens, Embeddings & Context Windows

How LLMs Generate Responses

AI Applications in Data Analytics

ChatGPT, Gemini & Claude Overview

TOOLS & TECHNOLOGIES:

ChatGPTGeminiClaudeOpenAIPythonJupyterNotebook

PROJECTS:

Download Syllabus

Tools & Technologies You'll Master

EXPERT FACULTY

Learn from the Best

Dr. Aris T.

Principal Data Architect @ Meta

15+ Yrs Exp

Distributed Systems

GenAI Pipelines

Dr. Aris leads the Data Infrastructure team at Meta. He specializes in building petabyte-scale real-time processing engines and has pioneered several open-source data orchestration frameworks.

Excellent Tutor

4.9/5