16 weeks · Intermediate
AI & Machine Learning
Go from Python basics to building and deploying real ML & LLM models.
Course Overview
This 16-week course takes you from Python fundamentals through supervised learning, deep neural networks, computer vision, and LLM fine-tuning. You will build three portfolio projects — a sentiment analyser, an image classifier, and an AI recommendation engine — using real production datasets.
ModeHyderabad Lab & Live Online
BatchesWeekend & Evening
CertificateVerified on Capstone
Curriculum & Modules
4 Detailed Modules1Python & Data Foundations
- Python for data science
- NumPy & Pandas deep dive
- Exploratory data analysis
- Data visualisation with Matplotlib & Seaborn
2Core Machine Learning
- Supervised learning & classification
- Regression & decision trees
- Random forests & XGBoost
- Model evaluation, cross-validation & tuning
3Deep Learning & Neural Networks
- Neural network architecture
- TensorFlow & PyTorch
- CNNs for image tasks
- Transfer learning with pre-trained models
4Generative AI & Capstone Deployment
- Introduction to LLMs & Prompt Engineering
- FastAPI backend services
- Deploying ML models to cloud (AWS/Render)
- Full Capstone Project
Portfolio Projects You Will Build
Project 1
Real-time Sentiment Analyser for E-Commerce
GitHub Repository & Live Deployment Ready
Project 2
Medical Imaging Classification System
GitHub Repository & Live Deployment Ready
Project 3
AI Recommendation Engine
GitHub Repository & Live Deployment Ready
Project 4
End-to-End Generative AI App (Capstone)
GitHub Repository & Live Deployment Ready
Tools & Tech Stack
PythonJupyterscikit-learnTensorFlowPyTorchPandasFastAPIGoogle ColabAWS
Target Job Roles
- Junior ML Engineer
- Data Scientist / Analyst
- AI Associate at tech firms
- ML Internships at funded startups
Free Batch Demo
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