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Al & Machine Learning
Course In Vellore
Fast‑track your career in AI & Machine Learning Course in 3–6 months. You’ll begin with Python fundamentals and data analytics in Jupyter, then move through practical ML (scikit‑learn), deep learning (TensorFlow & PyTorch), and advanced generative AI (GANs, VAEs, LLMs with OpenAI GPT & LangChain). You’ll learn to build and deploy production‑ready pipelines using FastAPI, Docker, and Kubernetes, culminating in capstone projects like an LLM chatbot, YOLO object detector, fraud‑detection API, recommender system, GenAI tool, and Edge AI for IoT.
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AI & Machine Learning Course Duration
3 to 6 months
Python Essentials and Coding Bootcamp
- Python Setup, Data Types and Control Flow
- Functions, Modules and OОP
- Jupyter and Version Control
Data Science and Analytics Toolkit
- Data Manipulation with Pandas and NumPy
- Statistical Analysis, EDA and Hypothesis Testing
- Visualization with Matplotlib, Seaborn and Plotly
Practical Machine Learning Lab
- Supervised and Unsupervised Learning
- Ensemble Methods and Recommendation Engines
- Cross-Validation and Evaluation
Deep Learning Studio
- ANNs, CNNs, RNNs and Transformers
- Transfer Learning and Object Detection
- Hyperparameter Tuning and Optimization
Generative Al Primer
- GANs, VAEs and LLMs Fundamentals
- Prompt Engineering Basics
- Image/Audio/Text Generation
Applied Generative Al
- LLM Fine-Tuning and Zero-Shot Learning
- Multi-Modal GenAI Tools
- Integration with APls and Pipelines
Foundation Models and Al Platforms
- Use GPT, Llama, Claude and Gemini
- APl integration and RAG pipelines
- Deployment with FastAPI and MLflow
Learning Outcomes & Capstone Projects
- Master Python, ML, DL, and GenAl concepts
- Build production-ready Al pipelines
- Deploy models with FastAPI and Docker
- Integrate foundation models and LLMs
- Apply prompt engineering and RAG frameworks
- Handle MLOps, CI/CD, versioning and cloud deployment
- Capstone Projects: LLM chatbot, YOLO object detection, fraud detection APІ, recommender system, GenAl tool, Edge Al for loT
AI & Machine Learning Workshop
Unlock the power of Artificial intelligence with Joy Innovations AI & Machine Learning Workshop. This interactive session gives you a glimpse into our comprehensive AI & Machine Learning Course, where you’ll learn to build models, analyze data, and apply AI to real-world challenges.
Through live demos and hands-on practice, you’ll explore tools like Python, TensorFlow, and AI-powered platforms while understanding how industries use AI to innovate and grow. Our AI & Machine Learning Course is designed to give you practical exposure and inspire your journey into the future of technology
*Duration One to Two Hours*
Answers to Your Queries
Frequently Asked Questions
Who should enroll in this AI & Machine Learning Course?
Anyone looking to transition into data science or AI engineering—whether you’re a Python developer wanting to specialize in ML, a data analyst aiming to learn deep learning, or a complete beginner ready to start with Python essentials.
What prior knowledge do I need before starting?
No ML background is required. You should be comfortable with basic computer use; we cover Python setup, core syntax, control flow, functions, OOP, Jupyter notebooks, and Git before moving into data science and AI.
Which ML and AI frameworks will I work with?
You’ll gain hands‑on experience with scikit‑learn for classic ML, TensorFlow & PyTorch for deep learning, and OpenAI GPT & LangChain for generative AI—along with tools like FastAPI for serving models, Docker/Kubernetes for containers, and CI/CD best practices.
How is generative AI incorporated into the curriculum?
This AI & Machine Learning Course includes generative AI modules covering prompt engineering, text & image generation, and real-world applications to keep learners industry-ready.
What real‑world capstone projects will I complete?
In this AI & Machine Learning Course, you’ll work on projects like predictive analytics, image & speech recognition, natural language processing, and AI-driven business solutions to gain hands-on industry experience.
How will I learn deployment and MLOps skills?
Through hands‑on labs you’ll containerize models with Docker, orchestrate them on Kubernetes, expose them via FastAPI, and implement versioning, monitoring, and CI/CD pipelines—so you can take AI solutions from notebook to production.
Looking for something else? Click here for our detailed FAQs page
Your Feedback Matters
Google Review
Very dissatisfied with this business. They never return calls or emails, and they totally disregard messages from customers. Very unprofessional — I would strongly advise avoiding them if this is how they handle clients.
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.
