Machine learning inside .NET applications
Train and deploy models with ML.NET — classification, forecasting, and Azure ML integration.
This roadmap is designed from fresher to professional level: you start with fundamentals, move to guided implementation, and finish with production-grade workflows.
Data prep, trainers, model evaluation.
Hands-on focus: ML.NET, Trainers.
Images, time series, ONNX export.
Hands-on focus: ONNX, Time series.
Workspace, AutoML, deployment endpoints.
Hands-on focus: Azure ML, AutoML.
Embed models in ASP.NET Core APIs.
Hands-on focus: ASP.NET, Inference.
Developers and learners targeting AI & ML growth at Intermediate level with practical, mentor-guided learning.
Live Online delivery with 6 Weeks schedule, structured modules, and real project implementation support.
Hands-on portfolio work, interview-oriented practice, and an industry-aligned syllabus designed for hiring readiness.
Sandeep Pal
Senior Software Engineer & Mentor
