Artificial Intelligence Course
Master AI fundamentals: Machine Learning, Deep Learning, Neural Networks & real-world applications.
10k+
Students Enrolled
2-3 Months
Course Duration
91%*
Placement Rate
50+
Live Sessions
*Placement rate is based on our last recorded placement data for eligible students who completed the program and participated in placement support. Figures are indicative and may vary by course and batch.
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
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
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