Build intelligent, data-driven and self-learning systems with DSS. Master Python, Machine Learning, Deep Learning, NLP, and Computer Vision using real-world AI projects.
We design intelligent systems using Python, Machine Learning, Deep Learning, and AI-driven architectures for real-world impact.
Predictive models, recommendation engines, and decision systems.
Neural networks, CNNs, RNNs, Transformers and LLM foundations.
Data analysis, visualization, feature engineering and pipelines.
Model security, data privacy, adversarial defense and ethics.
Industry-focused curriculum designed to build strong foundations in Python, AI & Deep Learning.
Python syntax, data structures, OOP, libraries, and real-world coding practices.
NumPy, Pandas, data cleaning, preprocessing, and exploratory data analysis.
Regression, classification, clustering, feature engineering & model evaluation.
Neural networks, backpropagation, CNNs, RNNs & TensorFlow/Keras workflow.
Text processing, transformers basics, image processing & OpenCV projects.
End-to-end AI project with model training, optimization & deployment.
Industry-standard tools used by AI & Machine Learning engineers.
A hands-on AI & Deep Learning program focused on real-world applications.
Focus on Python, Machine Learning, Deep Learning, NLP, Computer Vision, and deployment-ready AI solutions.
No prior AI or ML experience required — we start from fundamentals.
ML models, DL networks & one major end-to-end capstone project.
Industry-recognized certificate + project portfolio support.
Common questions about the AI & Deep Learning program.