Live sessions by industry practitioners & academic partners
Career services: resume support, interview prep, hiring connections
Capstone Project
Real project datasets with mentorship
Tools & Tech
Primavera/MS Project, Python, Power BI
Career Support
Hiring partners, mock interviews
Program Overview
Edge Solutions’ Postgraduate Program in Artificial Intelligence equips working professionals and fresh graduates with practical AI skills for business and engineering contexts. The curriculum balances core ML, deep learning, and modern generative/agentic AI topics with applied projects and career assistance.
Who should apply
Engineers, analysts and developers looking to specialise in AI
Project managers and domain professionals wanting data-driven decision skills
Graduates seeking a structured pathway into AI roles
Curriculum (Modules)
Mathematics for ML
Linear algebra, probability & optimisation
Python & Data Engineering
Cleaning, feature engineering, pipelines
Supervised Learning
Regression, classification & evaluation
Neural networks & backpropagation
Convnets & transfer learning
Sequence models
RNNs, LSTMs, transformers
Large language models
Prompting, fine-tuning strategies
Agent design
Tooling, evaluation, safety basics
Applications & product integration
Model deployment & monitoring
Responsible AI & governance
Capstone project
End-to-end delivery with industry dataset
Outcomes
Deploy production-ready ML systems
Build generative AI solutions and agentic workflows
Present a portfolio-ready capstone to hiring managers
FAQs
What are the eligibility criteria?
Bachelor’s degree or equivalent; relevant work experience is a plus.
What is the admission process?
Online application, short screening call, payment/enrolment.
Is financial assistance available?
Yes — scholarships and instalment plans are offered for eligible candidates.
Faculty & Industry Mentors
AS
Asha S.
Machine Learning Lead — Industry practicum mentor
RK
Ravi K.
Researcher — Generative & Agentic AI
MJ
Mira J.
MLOps & Deployment specialist
Learner Outcomes & Testimonials
Rahul — ML Engineer
“The applied projects accelerated my transition to a production ML role. Hands-on mentoring was the highlight.”
Neha — Data Scientist
“Generative AI modules helped me build smarter prototypes for our product team.”