Month 1: Introduction to AI & Python for AI
– Basics of AI and its applications
– Python for AI and Machine Learning
– Introduction to Natural Language Processing (NLP)
– Data preprocessing for NLP tasks

Month 2: Fundamentals of Prompt Engineering
– What is Prompt Engineering?
– Introduction to OpenAI and NLP models
– Designing effective prompts for AI
– Introduction to language models (GPT, BERT)

Month 3: Advanced NLP Techniques
– Sentiment analysis, text classification
– Named Entity Recognition (NER)
– Topic modeling and summarization
– Advanced prompt design for complex queries
– Fine-tuning language models

Month 4: Conversational AI & Chatbot Development
– Building a chatbot using NLP
– Implementing AI assistants using popular frameworks
– Dialog flow design and conversational patterns
– Prompt optimization for chatbot performance

Month 5: AI Model Deployment & Fine-Tuning
– Fine-tuning pre-trained models
– Deploying AI models using cloud services (AWS, Google Cloud)
– Monitoring and improving model performance in real-time
– Multi-modal prompts (text + images)

Month 6: Capstone Project
– Develop and deploy an AI-powered application or chatbot.
– Present your AI project and solution.
– One-on-one mentorship for final projects and career guidance.

– Capstone Project: Each course culminates in a capstone project where students work on realworld problems and build a professional portfolio.

 – Certifications: Upon completion, students receive two national-level certifications.

 – Internship Opportunities: A 6-month internship is provided to gain practical experience.

 – Placement Assistance: Lifetime placement support, resume building, and job interview preparation are available for all students.