MetaTorch AI Professional Certification
(66 Hours Program)
- Duration: 66 Hours
- Format: Hands-on + Coding
- Outcome: AI Developer
- Focus: Real-world AI Systems
- Includes: Projects + Deployment
Module-wise Curriculum (66 Hours)
Module 1: Python & Data Foundations (8 Hours)
- Python basics & data structures
- NumPy & Pandas
- Data preprocessing
Strong programming foundation
Module 2: Mathematics for AI (6 Hours)
- Linear algebra basics
- Probability & statistics
- Gradient descent
Math behind AI models
Module 3: Machine Learning (10 Hours)
- Regression & classification
- Model evaluation
- Overfitting concepts
Build core ML models
Module 4: Advanced ML (8 Hours)
- Decision Trees & Random Forest
- SVM & feature engineering
- Hyperparameter tuning
Real-world ML techniques
Module 5: Deep Learning (10 Hours)
- Neural networks (ANN)
- Backpropagation
- TensorFlow / PyTorch
Understand deep learning
Module 6: Computer Vision (6 Hours)
- Image processing
- CNN basics
- Object detection
Work with image AI
Module 7: NLP (6 Hours)
- Text preprocessing
- Embeddings & transformers
- Sentiment analysis
Work with text AI
Module 8: Generative AI (6 Hours)
- LLMs & prompt engineering
- AI tools & APIs
- Chatbot development
Modern AI systems
Module 9: MLOps & Deployment (4 Hours)
- API creation (Flask/FastAPI)
- Model deployment
- Cloud basics
Deploy AI models
Module 10: Capstone Project (8 Hours)
- Recommendation system
- AI chatbot
- Image recognition
- Analytics dashboard
End-to-end AI solution
Evaluation
- Assignments: 20%
- Labs: 30%
- Project: 40%
- Final Exam: 10%
Skills You Gain
- Python for AI
- Machine Learning
- Deep Learning
- NLP & Computer Vision
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