AI with Prompt Engineering – 6-Month Learning Path
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.
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