Diploma in Generative AI and Intelligent Systems
Course provided by Model Institute of Engineering & Technology
5 modules
Explore the fundamentals of Artificial Intelligence & Machine Learning
5-5.5 Level NCrF
National Credit Framework
480 Hours
Flexible Learning
Beginner Level
No prior experience required
Diploma Programs
18 Credits
Course Overview
The Diploma in Generative AI and Intelligent Systems guides learners from core concepts like LLMs, embeddings, and AI agent architectures to developing AI-powered applications. Using LangChain, OpenAI APIs, Hugging Face Transformers, and OpenCV, students work on real-world projects in tourism, education, and knowledge management. The program focuses on prompt engineering, model fine-tuning, and ethical AI deployment, ending with a capstone project that delivers region-specific intelligent solutions.
Key Learning Highlights
Master Generative AI, LLMs, embeddings & AI agent architectures
Build NLP & computer vision solutions with LangChain, OpenAI APIs & TensorFlow
Gain skills in Python, JavaScript, HTML/CSS & vector database integration
Create real-world AI apps through hands-on labs & capstone projects
Learn AI safety, bias mitigation & ethical deployment practices
Work on region-focused projects with industry mentorship
Tools & Platform Used
Learning Outcome
By the end of this course, students will be able to:
Understand LLMs, embeddings, vector databases & AI agent architectures
Build chatbots and recommendation systems using LangChain, OpenAI APIs & open-source models
Apply NLP techniques like text classification & sentiment analysis
Implement computer vision solutions such as image classification & object detection
Deploy AI systems with safety protocols, bias mitigation & ethical practices
Develop region-specific AI solutions through research & capstone projects
Master the course with just 5 Modules
This diploma takes learners from the fundamentals of Generative AI to building advanced, industry-ready intelligent systems. Starting with LLMs, embeddings, and computer vision, participants gain hands-on experience with LangChain, OpenAI APIs, and vector databases. Through labs, case studies, and a capstone project, they develop practical AI solutions while mastering ethical practices and innovation for real-world impact.
Fundamentals of Generative AI
Covers core concepts: LLMs (BERT, LLaMA), embeddings, vector databases, and AI safety
Introduces prompt engineering and real-world applications in tourism & education
Builds foundational understanding for NLP, computer vision, and AI agent development
Natural Language Processing (NLP)
Fine-tune LLMs using Hugging Face Transformers for domain-specific tasks
Implement text classification, sentiment analysis & conversational AI systems
Build chatbots with LangChain and OpenAI APIs for real-world use cases
Computer Vision for AI
Learn image classification & object detection using TensorFlow and OpenCV
Develop real-time vision pipelines for intelligent systems
Apply computer vision solutions to region-specific challenges and industries
Building AI Agents
Design AI agents using LangChain, OpenAI APIs & vector databases
Create intelligent assistants for tourism, education & knowledge management
Integrate multi-modal capabilities for enhanced user interaction
Capstone Project
Develop and deploy a complete AI-powered application
Solve a real-world problem using LangChain, OpenAI APIs & open-source models
Demonstrate innovation through region-specific and industry-aligned solutions
Roles
- NLP Engineer
- Chatbot Developer
- Computer Vision Developer
- AI Solutions Developer
- Generative AI Specialist
