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Al & Machine Learning
Internship Program In Vellore
The AI & Machine Learning Internship Program provides practical experience in building intelligent systems using Python, Machine Learning, Deep Learning, and Generative AI. Interns will explore modern tools like TensorFlow, PyTorch, OpenAI GPT, LangChain, and FastAPI while working on real-world projects such as chatbots, object detection systems, and GenAI tools. The internship also covers deployment using Docker and MLflow, preparing students for real industry scenarios and job-ready skills in AI and MLOps.
- Python, Jupyter Notebook
- Pandas, NumPy, scikit-learn
- TensorFlow, PyTorch
- OpenAI GPT, LangChain
- FastAPI, MLflow, Docker, Kubernetes
Internship Request Form
Al & Machine Learning Internship Duration
15 days to 2 months
Python & Data Science Fundamentals
- Python Programming, OOP, Modules
- Data Analysis using Pandas and NumPy
- Visualization with Matplotlib, Seaborn
Machine Learning Essentials
- Supervised & Unsupervised Algorithms
- Model Evaluation, Cross-Validation
- Feature Engineering and Tuning
Deep Learning with TensorFlow & PyTorch
- Neural Networks: ANN, CNN, RNN
- Transfer Learning, Object Detection
- Hyperparameter Optimization
Generative AI & LLMs
- Basics of LLMs, GANs, VAEs
- Prompt Engineering, Text/Image Generation
- Use of GPT, Claude, Llama, Gemini
API Integration & Deployment
- FastAPI for ML Model Serving
- Docker for Containerization
- MLflow, CI/CD, MLOps Concepts
Learning Outcomes
- Build, train, and deploy AI/ML and GenAI models
- Work with real-world datasets and AI tools
- Develop prompt-driven GenAI applications
- Gain experience in containerized deployment and MLOps workflows
Hands-on learning
Experience hands-on learning with Joy Innovations AI & Machine Learning Internship. Work directly with experts, explore advanced technologies, and apply your skills in real-world projects—all within just one to two hours. Step into the future of AI today!
*Duration One to Two Hours*
Answers to Your Queries
Frequently Asked Questions
Is this internship suitable for beginners in AI/ML?
Yes, the internship starts with Python basics and progresses through data science, ML, and GenAI, making it suitable for both beginners and intermediate learners.
What kind of projects will I work on?
You’ll build real-world projects such as an LLM chatbot, fraud detection API, object detection with YOLO, recommender systems, and generative AI tools.
Do I need a GPU or special hardware for this internship?
No, all practical sessions can be done using cloud platforms like Google Colab or local CPU-based environments, unless optional GPU-based training is desired.
Will I learn to deploy AI models?
Yes, you’ll learn to deploy models using FastAPI, Docker, and MLflow, along with basic MLOps practices like versioning and CI/CD.
Will I receive a certificate after completing the internship?
Absolutely! A completion certificate will be issued along with project validation, useful for job applications and showcasing your skills.
Your Feedback Matters
Google Review
The session when the trainer conducted is efficient and easy to understand. Exploring the datasets with the algorithm.The friendly trainer guidence and clear the doubts related to the content.
I like to learn many things in python it was easy to forget me now.
Thank for teaching me about this python.
Thank sooo much mam
experience I your institution.
1. ROBOTICS INTERNSHIP in vellore, JOY INNOVATION.
2. I Learned about the the robotics and application.
3. The experience is so good for me. Because of i love my physics. I learn basic circuits like connection on breadboard, led, diode, resister, transistor, UNO, ARDUINO.
4. JOY INNOVATION delivers both theoretical understanding and practical experience through hands-on training, real-world projects, and interactive workshop.
5. I learn about the various types of sensor i is help full to me for my final year project.
THANKYOU 😊
The institute provides an excellent platform for students to gain hands-on experience in robotics and embedded systems. The internship program is well-structured, practical, and guided by experienced mentors. The learning environment is innovative, encouraging creativity and real-world problem-solving. A great place for students to grow technically and professionally. The institute offers a dynamic and engaging environment for learning robotics. Their internship program is highly practical, with real-time projects that boost technical skills and confidence. With supportive mentors and a focus on innovation, it's an ideal place for students to explore and grow in the field of robotics and technology.
