AI Product Engineer Certification

Section - A

Module 1: Python Programming Fundamentals

Python, OOP, APIs, Git/GitHub and programming foundations.

Module 2: Database Management & SQL

SQL, relational databases, CRUD operations, joins and PostgreSQL.

Module 3: Django Backend Development

Django, REST APIs, authentication, ORM and scalable backend systems.

Module 4: Mathematics & Data Fundamentals for AI

Statistics, probability, data preprocessing, visualization, NumPy and Pandas.

Module 5: Machine Learning Foundations

Supervised & unsupervised learning, regression, classification and ML models.

Module 6: Deep Learning & Computer Vision

Neural networks, TensorFlow, PyTorch, CNNs and OpenCV.

Module 7: Generative AI & LLM Engineering

LLMs, prompt engineering, embeddings, vector databases and RAG systems.

Module 8: Agentic AI & AI Automation

AI agents, tool calling, workflow orchestration and multi-agent systems.

Module 9: AI Deployment & Production Systems

FastAPI, Docker, cloud deployment and production-ready AI applications followed by a Final Capstone project.

Section - B

Module 10: Communication Skills

Professional communication, presentations, public speaking and client interactions.

Module 11: Workplace Readiness & Productivity

Corporate etiquette, Agile, teamwork, productivity and problem-solving.

Module 12: Leadership & Career Development

Leadership, professional networking, LinkedIn and portfolio development.

Module 13: Resume Building & Interview Preparation

Resume building, GitHub portfolio, technical interviews and mock interviews.

Section - C

Internship

Real-world AI projects, team collaboration, mentorship, deployment.