AI Essentials Program
Artificial Intelligence is transforming industries across the globe. To work in AI, you need both conceptual understanding and practical experience. This program helps you build that base — from theory to deploying models — so you can enter AI, data science, or ML roles with confidence.
Duration: 3 to 5 months
Instructors: Ayesha Bano - Rohan Mehta
Program Features
Core AI Concepts
- Learn fundamental machine learning algorithms such as regression, classification, clustering.
- Understand neural networks, activation functions, loss functions, and optimization.
Hands-On Model Building
- Train and evaluate models on real datasets.
- Deploy models using simple APIs or frameworks.
Use Case Applications
- Apply AI models to tasks like image recognition, NLP, recommendation, and forecasting.
- See how AI is used in business intelligence, automation, and process optimization.
Program Modules
Introduction to AI & ML
- Supervised vs Unsupervised
- ML pipeline
- Data preprocessing
Classical Algorithms
- Linear regression
- Decision trees
- K-means
- SVM
Neural Networks & Deep Learning
- Perceptron
- Backprop
- CNN basics
- Activation functions
Model Evaluation & Tuning
- Cross validation
- Grid search
- Regularization
- Confusion matrix
Deployment & Integration
- Flask / FastAPI serving
- Model serialization
- API endpoints
- Integration
Who Should Enroll?
- Beginners wanting to enter AI / ML
- Data professionals wanting to extend into AI
- Software engineers interested in ML models
- Anyone curious to build and deploy predictive models
Benefits
Strong Foundations
- Build a solid theoretical and practical base in AI to build upon further.
Project Portfolio
- Create AI projects you can showcase to recruiters or clients.
Career Transition Support
- Receive guidance on moving into ML / AI roles and interview prep.
Meet Our Instructors
Ayesha Bano
Data scientist and AI educator with experience in deploying models in production.
Rohan Mehta
Machine learning engineer focused on applied AI in business contexts.
Contact Our Team
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