Full curriculum
AI & ML Engineering Curriculum
A complete, module-by-module breakdown of every topic, lab, and project in the AI & ML Engineering program.
Duration
2 Months
Modules
4 modules
Topics
12+ topics
Tuition
Free
Module roadmap
Each module builds on the previous — foundations first, production-grade AI integration last.
- 013 topics
ML Foundations
- Linear Regression
- Decision Trees
- Scikit-learn
- 023 topics
Deep Learning
- Neural Networks
- PyTorch
- Backpropagation
- 033 topics
NLP & Transformers
- Attention Mechanisms
- Hugging Face
- Fine-Tuning
- 043 topics
Agentic Multi-Agent Systems
- LangGraph
- State Graphs
- Tool Call loops
What you will be able to do
Build and train neural network models with PyTorch and TensorFlow
Fine-tune pretrained transformers using Hugging Face tools
Implement stateful, multi-agent cooperative workflows using LangGraph and LangChain
Optimize LLM deployments using quantization and custom inference runtimes
Ready to start AI & ML Engineering?
Enroll online and access the full curriculum in your learner dashboard.