Microsoft - Microsoft AI Professional Program (AI to OpenAI) 

Overview of Database Management Systems

Introduction to SQL and its role in data management

Introduction to DML and DQL in SQL

Aggregating and Organizing Data in SQL

Overview of common in-built functions

Joins - Inner Join, Left join, right Join and full Join

Subqueries - Scalar, Row and Table Subqueries

Set operations - Union, Intersect and Except

Window Functions

Custom Functions and Views

Python Variables, Data Types, and Basic Operators

Functional Programming with Conditional Statements, Loops and Lambda

Python Data Structures: Lists, Tuples, Sets, and Dictionaries

Overview Object-Oriented Programming in Python and use-cases

Exploring Python Libraries and Modules for ML/AI

Implementing Descriptive Statistics for Univariate Analysis

Perform Pearson, Spearman, and Kendall Correlation Tests

Exploring Python's Matplotlib and Seaborn for Data Visualization

Best Practices for Effective Visual Storytelling and Presenting Recommendations

Dimensionality Reduction Techniques: PCA and t-SNE Using Scikit-Learn

Understanding Business Analytics and Reporting Process

Azure Alerting and Notification Services

Creating Interactive Dashboards with Azure Power BI

Integration of Diverse Data Sources

Optimizing Reporting Performance and Troubleshooting

Data Preprocessing for Structured Data

Model training and how it works for Classification and Regression Models

Hyper-parameter Tuning 

Model Performance Evaluation

Costs associated with Training

Neural Networks Architecture

Data Preprocessing for Image Data

Training and Tuning Neural Networks

Model Performance Evaluation

Costs associated with Training Deep Learning Models

Large Language Models - An Introduction

How LLMs work - architecture and processes.

Prompt Engineering Fundamentals 

Parameters and Pricing

Applying PE for point business use-cases

Azure OpenAI API - and how to get set up with it on Python

Prompting Techniques: Zero-shot, Few-shot and CoT

Evaluating Prompts

Evaluating LLM Results

Automating LLM Functions on Datasets

Hugging Face - how to get setup - and how to use it

Summarization & Classification and their Evaluation metrics

What are embeddings and embedding similarity measures - Cosine and Euclidean

Vector Databases and how they are useful to implement RAG

Deploying a chat-bot on Azure using App Services

Understanding and Implementing Version Control with Git

Effective Setup and Use of Development & Production Environments

Running a Simple Pipeline and Understanding its Architecture

Implementing CICD on Azure

Managing Projects and Tracking in Azure DevOps

Understanding and Implementing Version Control with Git

Effective Setup and Use of Development & Production Environments

Running a Simple Pipeline and Understanding its Architecture

Implementing CICD on Azure

Managing Projects and Tracking in Azure DevOps