AI ML Step by Step using C#, Python, Azure and OpenAI Training Recordings
18 Hours Recordings
What you'll learn :-
AI ML using C#, Python, Azure and OpenAI.
Are you a C# Developer ? who is looking to make career in AI ML then you have reached the right place.Many AI ML courses out there use Python and other LLM's to do AI ML. But when it comes to Microsoft developers they would like to leverage C# , ML.NET , Azure AI , Azure Open AI. This course exactly does that kind of Justice for C# Developers.Course Content
AI/ML for C# Developers Training Recordings ( 8 months online validity)
- Day 1: Introduction to C# AI/ML -08-11-2025.
- Day 2: Compare OLS, SDCA and OLS Square using R Square & RMSE. -09-11-2025.
- Day 3: Understanding Feature Engineering, Online Algorithm Performance and key factors in Linear, Seasonal and Non-linear Predictions. -15-11-2025 .
- Day 4: Machine Learning Algorithms: Classification, Clustering & NLP. -16-11-2025 . 06-04-2025.
- Day 5: Understanding NLP (Natural Language Processing) methodologies. 22-11-2025.
- Day 6: Using Embeddings and Transformers to understand Relationship Context. 23-11-2025.
- Day 7: Introduction to GPT, BERT and ChatGPT using Prompts. 29-11-2025.
- Day 8: AI/ML Training Revision. 30-11-2025.
- Day 9: Getting started with Python Basics. 06-12-2025.
- Day 10: Python Coding - Create classes, OOP Programming and Creating packages. 07-12-2025.
- Day 11: Linear Regression - a simple Single-Prediction example in ML.NET and Python. 13-12-2025.
- Day 12: Linear Regression in ML.NET/Python using Test Data. 14-12-2025. 10-05-2025
- Day 13: Pytorch and Tensor Introduction. 21-12-2025. 17-05-2025
- Day 14:- Revision and Creating Model using Pytorch. 03-01-2026
- Day 15:- Creating Azure AI Workspace , Executing Automated ML with simple linear regression and testing the output. 04-01-2026
- Day 16:- Creating a full model with Multiple Layers using Pytorch. 10-01-2026
- Day 17:- Creating /Publishing/Consuming a simple AI Model of a flight delay data using Azure AI Designer with Logistic Regression. 17-01-2026
- Day 18:- Debugging Azure AI. 18-01-2026
- Day 19:- Tensor Flow implementation. 01-02-2026
- Day 20:- Azure Notebooks and Revision. 07-02-2026
- Day 21:- Agentic AI using Semantic Kernel. 08-02-2026
- Day 22:- Agentic AI using Langchain/Langgraph in Python. 14-02-2026
- Day 23:- N8N Demo with OpenAI, Webhooks and Forms. 15-02-2026.
- Day 24:- Data Quality (Outliers, Min, Max, Median, Mode, Stde , Skewness, Kurtosis, Quartiles ). 22-02-2026
- Day 25:- Revisiting RAG and implementing the same with SQL Server. 28-02-2026
- Day 26:- Integrating AllMini embedding with OpenAI and SQL Server. 01-03-2026
- Day 27:- Rag, LLM, Interaction, loose coupling. 07-03-2026
- Day 28:- Model Context Protocol (MCP). 14-03-2026
- Day 29:- Create your own MCP host. 15-03-2026
- AI/ML Syllabus, Notes and GitHub Link .
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Whats Included
- World-class training teacher
- Bench has zero learning curve
- We handle the rest.