AI Training with Internship
The most demanded skill of the decade — paired with the experience that proves you can apply it. Master AI fundamentals, ML, deep learning and Generative AI, then complete a 1–3 month internship working on a real AI problem at a partner company.
The most demanded skill of the decade — paired with the experience that proves you can apply it. Master AI fundamentals, ML, deep learning and Generative AI, then complete a 1–3 month internship working on a real AI problem at a partner company.
Syllabus
- AI/ML Fundamentals
- Deep Learning
- Computer Vision or NLP Track
- Generative AI Basics
- Model Deployment
- Industry Internship Project
- Mock Interviews
- Placement Prep
What you will learn
- Solve a real AI problem in industry
- Deploy at least one model to production
- Build a recruiter-ready AI portfolio
- Crack AI engineer interviews
Tools you will use
- Python
- TensorFlow
- PyTorch
- Hugging Face
- OpenAI API
- FastAPI
Projects
- Real AI problem at partner company
- Deployed model with API
- Portfolio of 3 AI projects
- Internship recommendation letter
Career paths
- AI Engineer
- ML Engineer
- AI Analyst
- Junior Data Scientist
Who should join
- Tech graduates
- AI enthusiasts
- Career changers entering AI
Prerequisites
- Graduate or final-year student
- Commitment to attend full program
- Basic computer skills
Certificate
Course Completion Certificate + Internship Experience Letter from partner companies.
Syllabus
- AI/ML Fundamentals
- Deep Learning
- Computer Vision or NLP Track
- Generative AI Basics
- Model Deployment
- Industry Internship Project
- Mock Interviews
- Placement Prep
Learning outcomes
- Solve a real AI problem in industry
- Deploy at least one model to production
- Build a recruiter-ready AI portfolio
- Crack AI engineer interviews
Tools
- Python
- TensorFlow
- PyTorch
- Hugging Face
- OpenAI API
- FastAPI
Projects
- Real AI problem at partner company
- Deployed model with API
- Portfolio of 3 AI projects
- Internship recommendation letter
Career paths
- AI Engineer
- ML Engineer
- AI Analyst
- Junior Data Scientist
Who should join
- Tech graduates
- AI enthusiasts
- Career changers entering AI
Prerequisites
- Graduate or final-year student
- Commitment to attend full program
- Basic computer skills
Frequently asked questions
What kind of internship projects?
Real industry problems in computer vision, NLP, recommendation systems and AI automation.
What will I be able to do by the end?
By the end you can: Solve a real AI problem in industry; Deploy at least one model to production; Build a recruiter-ready AI portfolio; Crack AI engineer interviews.
Who is this course designed for?
It is designed for: Tech graduates; AI enthusiasts; Career changers entering AI.