AI Internship
Powered by Kyma
A hands-on 8-week program where you work on real AI projects, build a portfolio that stands out, and earn an industry-recognized certificate from Kyma AI Innovations.
Program Timeline
8-Module Curriculum
A structured learning path from Python basics to deploying real AI applications — designed by practitioners for aspiring AI engineers.
- What is Artificial Intelligence — in simple terms
- How AI is changing everyday life & industries
- Types of AI: narrow vs general, weak vs strong
- Real-world examples: ChatGPT, recommendations, self-driving
- Is AI dangerous? Myths vs reality
- Setting up your workspace (no installation needed)
- Google Colab — your free AI playground
- Introduction to Python — only what you need
- Exploring AI tools: ChatGPT, Gemini, Hugging Face
- Your first AI program in under 10 minutes
- What is data and why AI needs it
- How machines find patterns — explained visually
- Training vs testing — teaching a machine
- Hands-on: train your first model with no code
- What makes a good AI vs a bad one
- Computer Vision — how AI sees images
- Natural Language — how AI understands text & speech
- AI in healthcare, agriculture, education & finance
- Hands-on with ready-made AI APIs
- Build a mini AI demo without heavy coding
- Bias in AI — how it happens and why it matters
- Responsible AI: fairness, privacy & transparency
- AI and jobs — what will change, what won't
- Career paths in AI — roles, salaries, how to start
- Choosing your internship project track
- Finalise your project from 7 available tracks
- Project planning: goals, timeline & tools needed
- Setting up your GitHub & project workspace
- First prototype — get something working early
- Mentor check-in & feedback session
- Build your core AI feature with mentor guidance
- Test, improve and fix with real feedback
- Add a simple interface so anyone can use it
- Document your work and push to GitHub
- Mid-review: progress check with your mentor
- Polish your project for a live demo
- Present to mentors & peers — get real feedback
- Deploy your project online (free hosting)
- Receive your Kyma AI Internship Certificate
- LinkedIn profile update + recommendation for top performers
Real-World Projects
You won't just learn theory — you'll build and deploy actual AI applications that go straight into your portfolio.
Build an intelligent resume screening system using NLP and ML to rank candidates against job descriptions. Includes a web interface for HR teams.
Create a document Q&A chatbot using Retrieval-Augmented Generation. Upload PDFs and ask questions — the bot retrieves relevant context before answering.
Deploy a YOLO-based object detection model on live webcam feed. Build a web dashboard that displays detected objects with confidence scores in real time.
Build an LSTM-based time series forecasting model for stock prices. Includes data ingestion from APIs, model training, and an interactive Plotly dashboard.
Analyze sentiment from Twitter/social media data using fine-tuned BERT. Display real-time sentiment trends with topic clustering and keyword extraction.
Build a hybrid recommendation engine combining collaborative filtering and content-based filtering. Deploy as a REST API with a React frontend.
Build a CNN-based model to detect crop diseases from leaf images. Includes a mobile-friendly web interface where farmers can upload photos and get instant diagnosis with treatment recommendations.
What You Get
Beyond technical skills — we equip you with everything needed to land your first AI role.
Eligibility Criteria
Open to all students with enthusiasm for AI — no prior ML experience required.