AI & ML Programs - Model Institute of Engineering and Technology

Artificial Intelligence and Machine Learning Programs

Why choose AI & ML Programs at MIET?

MIET’s AI & ML program offers a cutting-edge curriculum blending theory, hands-on labs, and industry certifications. Designed to equip students with practical skills in machine learning, deep learning, computer vision, and AI deployment, it prepares graduates for careers in top tech firms and emerging industries. With strong industry partnerships, real-world projects, and internship opportunities, MIET ensures you’re job-ready and future-focused in the rapidly evolving AI landscape.

Prompt Engineering for GenAI
15 hours | 0.5 credits
Real-time prompt tuning using tools like ChatGPT/DALL·E for content creation and automation.
Know More
Model Evaluation and Tuning Basics
15 hours | 0.5 credits
Learn model performance diagnostics through confusion matrix, precision-recall, and ROC.

- - Introduction to AI and Machine Learning using Google Colab
    30 hours | 1 credit
    Hands-on with real datasets; visual introduction to supervised/unsupervised models.
  - Python for AI: Basics with NumPy & Pandas
    30 hours | 1 credit
    Coding with Python; structured data handling and visualisation using industry tools.
  - AI in Excel using Microsoft Copilot
    30 hours | 1 credit
    Forecasting and task automation with Microsoft 365 Copilot in business contexts.
  - Computer Vision with TensorFlow and OpenCV
    90 hours | 3 credits
    Image classification and object detection using real-world pipelines.
  - Natural Language Processing using Hugging Face
    90 hours | 3 credits
    Fine-tune LLMs; sentiment analysis and classification using Transformers.
  - Applied Machine Learning using Python and scikit-learn
  - 60 hours | 2 credits
  - Develop end-to-end ML pipelines through project-based learning.
  - AI Model Deployment with Docker and FastAPI
  - 60 hours | 2 credits
  - Build and deploy containerised AI solutions using DevOps tools.
  - AI for IoT using Edge Devices (e.g., Jetson Nano)
  - 60 hours | 2 credits
  - Deploy models on edge with smart sensors and real-time inference.

- Generative AI Engineering
- 320 hours | 9–10 credits
- IBM Coursera-based program with LangChain, RAG, prompt tuning, and real-world applications.
- Microsoft AI & ML Engineering Certificate
- 320 hours | 9–10 credits
- Azure-based labs with ML pipeline deployment for Jammu smart city solutions.
- IBM AI Developer
- 320 hours | 9–10 credits
- Focused on AI for education and healthcare; includes chatbots and web apps with Flask.
- IBM AI Engineering Certificate
- 160 hours | 6–8 credits
- Advanced ML, deep learning, and Spark for region-specific applications.
- Deep Learning Developer
- 120 hours | 4–5 credits
- Hands-on computer vision and NLP using TensorFlow, Hugging Face, and Keras.