Artificial Intelligence Course
10,000+
Students Enrolled
2-3 Months
Course Duration
95%
Placement Rate
40+
Live Sessions
Curriculum Roadmap
Artificial Intelligence curriculum built for cse / it domains
A practical path through model building, intelligent automation, evaluation, and responsible AI practice with guided labs, review checkpoints, and a final portfolio artifact.
Core Skills
- Python for AI workflows
- NumPy, Pandas, and visualization
- Linear algebra intuition
- Probability and model thinking
Industry Context
- AI use cases by sector
- Data ethics and bias
- Model lifecycle overview
- AI project scoping
Practical Lab
Set up a Python AI notebook and analyze a starter dataset.
What You Can Show
You can explain where AI fits and prepare data for model training.
Learn from Industry Experts
Kabir Anand
MLOps Consultant, ModelOps Cloud
10+ years exp
Tanya Bhatia
AI Product Lead, Automation Research Co.
8+ years exp
Dev Arora
Deep Learning Engineer, Neural Systems Studio
7+ years exp
Ishita Kapoor
GenAI Workflow Trainer, PromptOps Lab
6+ years exp
Aarav Mehta
AI Solutions Architect, Cognitive Systems Lab
9+ years exp
Nisha Rao
Machine Learning Engineer, VisionAI Studio
7+ years exp
Ritvik Sen
NLP Specialist, Language Intelligence Hub
8+ years exp
Meera Kulkarni
Computer Vision Mentor, Applied AI Works
6+ years exp