HTD Model Course
AI & ML
Master artificial intelligence and machine learning fundamentals.
Overview
About this course
Intensive hands-on training in machine learning, deep learning and applied AI — building production-grade models in Python across supervised, unsupervised and NLP techniques.
Topics covered
Python for MLSupervised & Unsupervised LearningDeep Learning with TensorFlow / PyTorchNLP & LLM BasicsMLOps & Deployment
Prerequisites
- Basic Python
- Statistics fundamentals
- Linear algebra basics
Learning outcomes
- Build and deploy ML models end-to-end
- Portfolio of ML projects
- Ready for junior ML engineer / data scientist roles
Who should attend
- Fresh graduates in IT / engineering / math
- Developers moving into AI
- Analysts advancing to ML
Course details
- Duration8–12 weeks
- Modules5 modules
- FormatFull-time · Hands-on projects
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