Advanced Certification in AI and MLOps - IISc

Probability & Stats

Calculus & Linear Algebra (Tensors)

Python

TensorFlow (Tensor operations)

Data Munging (Tabular Data)

The AI/ML Process and workflow - How to solve a problem using data and algorithms?

What are the problems solvable by ML/AI? What cannot be solved?

Data Types and State-of-the-Art Models

Tabular Data - Gradient Boosted Models

Transformers for text

vision

and audio data

Generative AI – GPT class of models for text

Diffusion for images/video

The first neural network for image/text classification

The Mathematics of ML and AI - Empirical Risk Minimization

Gradient Descent and Back Propagation

A Deep Neural Network: Neurons

Layers

Activation Function

Loss Function

Weights and Biases

Minibatch

Training Algorithms (Momentum

AdaGrad

ADAM)

Weight Initialization

MLOps Overview & ML

Systems Design

Version Control & Experimentation

Data & Model

Management

Model Development & Testing

Gradient Boosted Tree Models for tabular and time series modeling.

Evaluating predictive AI systems.

Interacting with GenAI

Technology: Prompting through chat UI

prompting through API

Retrieval Augmented Generation

AI Evaluation

SecOps

Continuous Integration for ML

Continuous Training & Deployment

Docker for ML Application

Kubernetes for ML Workload Actions

Jenkins

Docker

Kubernetes

Model Serving Architecture

Advanced Serving Strategies

Cloud Platforms for ML

Scaling ML Systems

NLP as a sequence modelling Task

Transformer Architecture for Natural Language

Understanding and Generation; Basics of LLM Training

Introduction to classical Deep Computer Vision models

Vision transformer models

Generative Image Models

From Prototype to Production LLMs

Infrastructure

Requirements at Scale

Quantization and Compression

Performance Engineering

Serving Framework Implementation

Production Fine-tuning Infrastructure

Continuous Learning Systems

Cost Optimization Strategies.

Scalability Challenges & Architecture

Distributed Training & Inference

High-Performance Inference at Scale

Orchestration for Large-Scale AI

MLOps Workflow for Hospital Emergency Prediction using ETS Data on AWS

Financial Fraud Detection using Deep Learning and MLOps

Customer Conversational Intelligence Platform

Driver Demand Prediction for Optimal Food Delivery Charges

Personalized Financial Advisor using Large Language Model (LLM)

Automated SEO using ChatGPT

Automated Answer Validation for Science Question Answering using Siamese Text Similarity Model

GAN based interior designs

Image-based plant disease identification

Food Image Segmentation