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Course Overview
Schedule of Classes
Course Curriculum
5 Subjects
Test Course - 1
Phase 1 – Foundations
2 Exercises • 20 Learning Materials
AI Fundamentals
Intro to GenAI
GenAI Orientation
SQL Fundamentals: Querying and Managing Data
SQL Part1
SQL Part2
Python Libraries: Connect, Process and Analyze
Python Essential Part1
Python Essential Part2
Numpy
Pandas
EDA Intro
MatplotLib & Seaborn
Data Engineering & Enterprise Systems
RestAPI
Json
JSON & REST API Quiz
Data Pipeline Quiz
Business Analytics & Decision Intelligence
PowerBI
PowerBI dataSet HandsON
Digital Business Innovation Methodology – Part 1
CBIM Introduction
Digital Innovation & Solution Design
Digital Innovation, Orchestration & UseCase SSOT
Digital Business Innovation Methodology – Part 2
Enterprise Problem Prioritization Using SSOT
Statistical Foundations in Machine Learning
Foundations of Statisticals
Statistical Inference & Hypothesis Testing
Phase 2 – Machine Learning & Advanced AI
34 Learning Materials
AI Systems & Product Engineering
AI Product Thinking
Old AI Product Thinking
Supervised Learning – Part 1
Machine Learning Foundations
ML Foundations
Regression Models
Applied Regression Models
Model Optimization
Model Optimization-Hyperparameter Tuning
Linear and Logistic Regression in Product Context
LabPractice
Supervised Learning – Part 2
Boosting XGBoost Esemble Comparision
CART Random Forest Interpretability
Tree Lap
PracticeData
Unsupervised Learning
Clustering Business Segmentation
Model Selection, Validation & Optimization
Feature Pipeline Optimization Model Comparison
Model Selection and Pipelines
Deep Learning & MLPs
MLP Structured Error Analysis
MLPs in Keras TensorFlow
Deep Learning Techniques
Convolutional-Neural Networks
RNN & Sequence Modeling
Transformers and encoder and decoder architecture
Fine tuning workflows for enterprise adaptation
Transfer learning theory and model reuse
Natural Language Processing (NLP)
NLP basics Tokenization Embeddings BERT intuition
NLP Lab
LLMs & Foundation Models
LLM usage and Conversational Scaffolding
Advanced GenAI, RLHF & Prompt Engineering
RAG & Vector Databases
RAG Indexing Embeddings VectorDatabases
RAG End to End Application
RAG Building Retrieval Pipeline
Document AI Intelligent document workflows
Document AI Parsing PDFs long context handling
Agentic AI Applications
Agent Workflows Tool calling basics
Agent Workflows Planning & memory
Phase 3 – Enterprise AI Engineering & Deployment
6 Learning Materials
MLOps & Deployment
Multimodal Vision Models and Embeddings Bridging Vision and Language
Data Model Versioning
CICD ML
Responsible AI I: Fairness & Explainability ,Governance & Regulation
Responsible AI
Prompt Systems in Production
Prompt Systems in Production
Document AI & Multimodal Vision
Enterprise RAG Knowledge Systems
Knowledge base design and retrieval evaluation
AI Automation & Workflow Orchestration
Guardrails, Security & Cost Optimization
Hackathon Test
1 Exercises • 1 Learning Materials
Problem Statement-1
REAL-TIME UPI / DIGITAL PAYMENT FRAUD DETECTION
Quick Commerce
Course Instructor
Prudhvi Naidu
10 Courses • 376 Students
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