AI chatbot with memory
Built end to end, reviewed by a mentor and added to your portfolio.
AI & ML course
AI Engineer Program
Our flagship path: Python, machine learning, deep learning, LLMs and deployment, finished with a portfolio of real AI products.
6 monthsBeginner to AdvancedClassroom + Live online
Overview
Course at a glance
Duration6 months
LevelBeginner to Advanced
ModeClassroom + Live online
Career rolesAI Engineer, ML Engineer, AI Application Developer
Curriculum
What you will learn
Module by module.
Module 01Python & data foundations
Python, NumPy, Pandas, SQL, Git and clean coding habits.
Module 02Math for ML
Linear algebra, probability and statistics with code, not just formulas.
Module 03Machine learning
Regression, classification, trees, ensembles, clustering and model evaluation.
Module 04Deep learning
Neural networks, CNNs, sequence models and transfer learning with PyTorch.
Module 05Generative AI & LLMs
Prompting, embeddings, RAG, fine-tuning basics and AI agents.
Module 06MLOps & deployment
FastAPI, Docker, model monitoring and cloud deployment.
Module 07Capstone & placement prep
An end-to-end AI product, portfolio review and mock interviews.
Learning outcomes
- Build, evaluate and deploy ML and deep learning models
- Ship LLM apps with RAG, tools and agents
- Package models as APIs and deploy them to the cloud
- Present a portfolio of four production-style projects
Tools & technologies
PythonPyTorchscikit-learnLangChainFastAPIDocker
Projects
Projects you will build
RAG document assistant
Built end to end, reviewed by a mentor and added to your portfolio.
Image classifier web app
Built end to end, reviewed by a mentor and added to your portfolio.
Sales forecasting dashboard
Built end to end, reviewed by a mentor and added to your portfolio.
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