AI & ML
Artificial Intelligence Course for Students and Professionals
Understand AI concepts, intelligent systems, ML basics, neural networks and practical AI use cases.
Curriculum
Artificial Intelligence Course Curriculum
Step-by-step course modules designed for practical learning and career preparation.
Module 1
AI Introduction
- History of AI
- AI vs ML vs DL
- Applications
- Career paths
Module 2
Python for AI
- Python refresh
- Libraries
- Data handling
- Visualization
Module 3
Machine Learning Basics
- Regression
- Classification
- Clustering
- Evaluation
Module 4
Deep Learning Basics
- Neural networks
- Activation functions
- Training process
- Use cases
Module 5
NLP & Computer Vision Intro
- Text data basics
- Image data basics
- AI model workflow
- Tools
Module 6
AI Project
- Use case selection
- Model implementation
- Report
- Presentation
Projects
Project Work Included
Build practical projects that can be added to your resume and discussed during interviews.
AI chatbot prototype
Text classification
Image classification demo
AI business use case report
Career Outcome
What You Can Do After This Course
This course helps you build practical skills, complete assignments, create projects and prepare for internships or entry-level roles.
- Understand core concepts and tools
- Work on practical assignments
- Create portfolio-ready projects
- Prepare for interviews and technical discussions
Related Courses
Admission Enquiry
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