Program · AIM
AIM
AI Integration & Modeling
Full-Stack AI
Build intelligent applications from the ground up — from Python, data and machine learning to deep learning, Generative AI, RAG, AI agents and full-stack AI integration.
5 MonthsProject-BasedSpecialization + Common Core Track
Curriculum
What you will master
Python & AI Foundations
- Python Fundamentals
- OOP
- NumPy · Pandas
- Matplotlib · Seaborn
- Jupyter · Google Colab
Data Preparation
- Data Collection
- Data Cleaning
- Transformation
- Feature Scaling & Selection
- Exploratory Data Analysis
AI Mathematics
- Statistics · Probability
- Distributions
- Correlation & Covariance
- Linear Algebra
- Optimization
Machine Learning
- Supervised & Unsupervised
- Regression · Classification
- Clustering · PCA
- Feature Engineering
- Model Evaluation
Deep Learning
- Neural Networks
- PyTorch
- CNN · Computer Vision
- RNN · LSTM · GRU
- Transformers
Generative AI
- LLMs
- Prompt Engineering
- AI APIs
- Embeddings
- Vector Databases
- Function Calling
RAG & AI Agents
- RAG Pipelines
- Chunking · Retrieval
- Semantic Search
- AI Agents
- Planning · Memory · Tools
AI Integration
- Flask / FastAPI
- REST APIs
- React Integration
- Authentication
- AI Application Architecture
AI Engineering & Deployment
- Docker
- Model Deployment · MLOps
- Model Versioning
- Monitoring · CI/CD
- Performance · Security
Responsible AI
- AI Bias
- Data Privacy
- Hallucinations
- Explainability
- AI Safety · Human-in-the-loop
Build Full-Stack AI Products.
Learn to take AI beyond the model and integrate it into real-world software.
DataML / DLLLMRAG / AgentsBackendFrontendDeployment
Understand AI. Build with AI.
From Python foundations to full-stack AI products, build the skills to turn intelligent ideas into real applications.