Prompt Engineering & AI Integration
45-Day Advanced Program | Summer Internship 2026
Course Description
This 45-day comprehensive program is built for students who want to master the rapidly growing field of Prompt Engineering and AI Integration. The course takes you from understanding how Large Language Models (LLMs) work to designing effective prompts, building AI-powered workflows, and integrating AI into real-world business applications. With 2 live interactive classes per week and structured recorded content on remaining days, students gain hands-on expertise in working with tools like ChatGPT, OpenAI APIs, LangChain, and more — making them industry-ready for the AI-driven future.
Course Curriculum
Module 1: Introduction to AI & Large Language Models
• What is Artificial Intelligence — A Quick Overview
• Understanding Large Language Models (LLMs)
• How ChatGPT, Gemini & Claude Work
• Types of AI Models — Text, Image, Code
• The Rise of Generative AI & Its Applications
Module 2: Fundamentals of Prompt Engineering
• What is Prompt Engineering & Why It Matters
• Anatomy of a Good Prompt
• Zero-Shot, One-Shot & Few-Shot Prompting
• Role-Based Prompting Techniques
• Common Prompting Mistakes & How to Avoid Them
Module 3: Advanced Prompting Techniques
• Chain-of-Thought Prompting
• Tree-of-Thought & Self-Consistency Prompting
• Prompt Chaining for Complex Tasks
• System Prompts & Instruction Tuning
• Prompt Templates & Reusable Patterns
Module 4: Working with OpenAI API
• Introduction to OpenAI API & API Keys
• Setting Up Your Development Environment
• Making API Calls — Chat Completions
• Controlling Output with Temperature & Tokens
• Building Your First AI-Powered App with API
Module 5: AI Tools & Platforms Hands-On
• Exploring ChatGPT, Gemini, Claude & Copilot
• AI for Content Writing & Marketing
• AI for Code Generation & Debugging
• AI for Data Analysis & Summarization
• Comparing AI Tools — Choosing the Right One
Module 6: LangChain & AI Workflow Automation
• Introduction to LangChain Framework
• Building AI Chains & Sequences
• Memory & Context Management in LLMs
• Connecting LLMs to External Data Sources
• Automating Workflows with AI Agents
Module 7: AI Integration with Business Applications
• Integrating AI into Web Applications
• AI-Powered Chatbots for Customer Support
• AI in Document Processing & Extraction
• AI for Email Automation & Scheduling
• Real-World Business Use Cases
Module 8: Building AI-Powered Applications
• Designing AI Application Architecture
• Frontend + AI Backend Integration
• Building a Q&A Bot with Custom Data
• Building an AI Content Generator
• Testing & Debugging AI Applications
Module 9: Responsible AI & Ethical Prompting
• AI Bias — Understanding & Mitigating
• Ethical Use of AI in Business
• Data Privacy & Security in AI Applications
• AI Hallucinations — Detection & Prevention
• Responsible Prompting Best Practices
Module 10: Capstone Project — Build & Deploy an AI Solution
• Project Planning & Requirement Analysis
• Building an End-to-End AI-Integrated Application
• API Integration, Prompt Design & Workflow Automation
• Testing, Optimization & Deployment
• Final Presentation & Code Review
Frequently Asked Questions
What's included
- 2 Live Classes Per Week
- Recorded Sessions Available
- Certificate on Completion
- 03 Months Access