AI Engineering
Learn how to use Python, machine learning, LLMs, RAG systems, vector databases, APIs, and AI product workflows to build smart tools and future-focused software.
DURATION
12 Months
LEVEL
Beginner
MODE
Offline Classes
CERTIFICATE
IBM Certificates
What You Will Learn
Python ,ML, deep learning
LLMs,RAG, vector databases
MLOps and production AI
Computer vision OR NLP focus
You will learn how to build practical AI products that solve real user and business problems.
Projects Students Build
- 1
Build and test 3 machine learning models on real datasets
- 2
Compare model using key metrics
- 3
Explain the best-performing model
- 4
Develop a RAG-based application
- 5
Deploy the app to a public URL
- 6
Evaluate accuracy, relevance, and usefulness
Certifications
IBM AI Engineering Professional Certificate
(or equivalent)
Hugging Face Open-Source AI Certification
AWS Certified AI Practitioner
(Optional Add-on)
Career outcomes
Graduates are prepared for entry-level roles such as:
AI Application Engineer Intern
Machine Learning Intern
AI Integration Engineer Intern
Junior Data Scientist Intern