Applied AI Engineering with MLOps and LLM

Phase 01 | Module 01: Python for AI

4 lessons

Module 02: Data Analysis & Preprocessing

6 lessons

Module 03: Statistics, Probability & SQL

2 lessons

Module 04: Machine Learning - Supervised Learning

3 lessons

Module 05: Machine Learning - Unsupervised Learning

2 lessons

Module 06: Deep Learning Basics

3 lessons

Module 07: Natural Language Processing

3 lessons

Module 08: Phase 01 Capstone Project

1 lesson

Phase 02 | Module 09: Foundations of Production Machine Learning

1 lesson

Module 10: Core Model Development & Data Pipelines

3 lessons

Module 11: MLOps & Model Serving

3 lessons

Module 12: Deployment, Automation & Monitoring

4 lessons

Phase 3 | Module 13: LLM, Core API Integration & Structured Data

3 lessons

Module 14: Practical RAG (Retrieval-Augmented Generation)

3 lessons

Module 15: Foundational AI Agents & Tool Integration

3 lessons

Module 16: Memory, Security & Production Basics

4 lessons