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AI ML for C# Developers Training Recordings
AI/ML using C# Training Recordings
Day 1: Introduction to C# AI/ML -13-06-2026. (66:22)
Day 2- AI ML for C# Cohort 3. - 14-06-2026 (82:47)
Day 3- Vectors, Cosine, Eucli, Logistic and Multiclassifcation - C# - 20-06-2026 (56:22)
Day 3.1 - Python Fundamentals Indents, Comments, Variables, Datatypes, If, Functions, Lists - Python. 20-06-2026 (57:55)
Day 4- Supervised, Unsupervised, K-Mean Clustering, NLP, One Hot Encoding and BOW - C#. 21-06-2026 (60:19)
Day 4.1- Python Fundamentals Lists & Dictionaries, Loops, Strings & FStrings - Python. 21-06-2026 (66:29)
Day 5:- NLP Revision - Converting Text to Vector. 27-06-2026 (51:31)
Day 5.1:- Python Fundamentals - Functions, Collections, Classes & Objects. 27-06-2026 (65:34)
Day 6:- List Indexing, Slicing and Comprehensions. 28-06-2026 (68:04)
Day 7:- WordSentence Embedding and using openAI text-embedding-3-small. 04-07-2026 (67:23)
Day 8:- Python Fundamentals Dunder methods, modules & package, Inheritance & Exceptions. 05-07-2026 (71:14)
Day 9:- Prompt Basics (System,User,Assist) and RAG using Inmemory SQL Server. 05-07-2026 (77:54)
Day 10- Python Numpy Fundamentals. 11-07-2026 (71:39)
Day 11:- Machine learning - Using QDrant Vector DB. 12-07-2026 (60:49)
Day 12:- Python pytorch fundamentals. 18-07-2026 (61:07)
Day 13:- Semantic Kernel ,Decoupling Embeddings and LLMs & Tooling Demo. 19-07-2026 (61:40)
Day 14:- Linear regrestion using pytorch. 25-07-2026 (63:40)
Day 15:- MCP Model Context Protocol Demo. 26-07-2026 (38:10)
Day 16:- Multilayered Models Using PyTorch. 01-08-2026 (58:42)
Day 17:- MCP Stdio and Agentic AI. 02-08-2026 (57:52)
Day 18:- Embeddings Using GloVe50 in Python. 08-08-2026 (61:17)
Day 19:- Chunking Strategies (Fixed, Semantic and Entity) and Neo4j. 08-09-2026 (50:55)
Day 20:- Saving and Loading models using pytorch (56:32)
Day 21:- Agents, Session, Tools and Workflow using Microsoft Agents. (53:20)
Day 22:- Creating MCP Servers in Python. (60:53)
Day 23:- Microsoft agents, Workflow and Session Management. (64:57)
Day 24:- Python: Remote MCP & Rag fundamentals. (58:01)
Day 25:- Azure AI Foundry, Creating Agents and Apply Guard Rails. (57:10)
Day 26:- Python: Creating Agents. (64:03)
Day 27:- Security using Azure Content Safety. (39:33)
Day 28:- Azure AI AUTOML. (47:17)
Day 29:- AI Designer. (42:58)
Day 30:- AI Designer Day 2. (56:36)
Day 31:- AI ML with C# Revision Session. (42:21)
Day 32:- AI ML Harness using MAF. (31:51)
AI/ML Syllabus, Notes and GitHub Link
Day 11:- Machine learning - Using QDrant Vector DB. 12-07-2026
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