AI & ML Programs - Centre for Continuing Professional Education

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.
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Model Evaluation and Tuning Basics
15 hours | 0.5 credits
Learn model performance diagnostics through confusion matrix, precision-recall, and ROC.
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- - Introduction to AI and Machine Learning using Google Colab
    30 hours | 1 credit
    Hands-on with real datasets; visual introduction to supervised/unsupervised models. Know more
  - Python for AI: Basics with NumPy & Pandas
    30 hours | 1 credit
    Coding with Python; structured data handling and visualization using industry tools. Know more
  - AI in Excel using Microsoft Copilot
    30 hours | 1 credit
    Forecasting and task automation with Microsoft 365 Copilot in business contexts. Know more
  - Computer Vision with TensorFlow and OpenCV
    90 hours | 3 credits
    Image classification and object detection using real-world pipelines. Know more
  - Natural Language Processing using Hugging Face
    90 hours | 3 credits
    Fine-tune LLMs; sentiment analysis and classification using Transformers. Know more
  - Applied Machine Learning using Python and scikit-learn
  - 60 hours | 2 credits
  - Develop end-to-end ML pipelines through project-based learning. Know more
  - AI Model Deployment with Docker and FastAPI
  - 60 hours | 2 credits
  - Build and deploy containerised AI solutions using DevOps tools. Know more
  - 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. Know more

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

Diploma in AI and Machine Learning Engineering
480 hours | 18 credits
End-to-end ML skills with region-specific use cases and MSME projects. Know more
Diploma in AI for IoT and Edge Computing
480 hours | 18 credits
Edge AI with Jetson Nano; smart agriculture and tourism applications. Know more
Diploma in Generative AI and Intelligent Systems
480 hours | 18 credits
LangChain, OpenAI API-based labs for tourism and education chatbot development. Know more