Course Syllabus
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AI & Machine Learning
Python Powered
AI/ML Intermediate to Advanced 5 Months ₹8–25 LPA
Course Overview
Enter the world of Artificial Intelligence. Build real ML models, work with OpenAI APIs, and create AI-powered applications that are shaping the future.
What You'll Learn
- Python for Data Science
- NumPy, Pandas & Matplotlib
- Scikit-Learn & ML Algorithms
- Deep Learning with TensorFlow
- NLP & Large Language Models
- OpenAI API Integration
- LangChain & RAG Applications
- Deploy ML Models to Production
AI Tools Covered
TensorFlowPyTorchOpenAI APILangChainHugging Face
Detailed Curriculum
Python for MLWeek 1–3
- Python OOP & data structures
- NumPy arrays
- Pandas manipulation
- Matplotlib & Seaborn
Classical MLWeek 4–7
- Supervised learning algorithms
- Regression & classification
- Model evaluation & tuning
- Feature engineering
Deep LearningWeek 8–11
- Neural network fundamentals
- TensorFlow & Keras
- CNNs for computer vision
- RNNs & sequence models
NLP & LLMsWeek 12–15
- Text processing & embeddings
- Transformer architecture
- OpenAI API integration
- LangChain & RAG pipelines
DeploymentWeek 16–20
- FastAPI for ML models
- Docker containerization
- AWS SageMaker
- MLOps practices
Hands-On Projects
Sentiment Analysis API
BERT-based classifier deployed as REST API
PythonBERTFastAPIDocker
Image Classification App
CNN model classifying 10 categories with web UI
TensorFlowKerasFlaskAWS
AI Chatbot (RAG)
LangChain RAG chatbot on custom documents
LangChainOpenAIPineconeStreamlit
Stock Price Predictor
LSTM model predicting stock trends with dashboard
PyTorchPandasPlotlyStreamlit
Career Opportunities
ML EngineerAI ResearcherData ScientistNLP Engineer
Zooye EduTech — Learn • Grow • Succeed
145, Mariyamman Kovil Street, Sathyanagar, Nambiyur, Erode, Tamil Nadu - 638458
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