Advanced AI Program — New 2025

Prompt Engineering and LLM Applications
Internship in Madurai

Build Prompt Engineering and LLM Applications using Python, LangChain and Gemini API at Webgapp, Madurai. Not theory — you deploy a live AI system that thinks, decides and acts on its own. Students join from Chennai, Coimbatore, Trichy, Dindigul and across Tamil Nadu.

✓ 1 Month Hands-On
✓ Live AI Agent Deployed
✓ Internship Certificate
✓ LangChain + Gemini API
✓ Limited Seats
382+
Students trained
4.8★
Google rating
10+
Years experience
22
Max batch size
What is this programme

What is Prompt Engineering and LLM Applications?

Prompt Engineering is the skill of communicating effectively with AI models to get precise, reliable and useful outputs. It is not about coding a new AI — it is about knowing exactly how to instruct existing AI systems. Combined with LLM application development you build complete AI-powered tools that businesses need — resume builders, content generators, code reviewers, document analysers.

Why this skill in 2025? Companies are moving from simple AI chatbots to full AI agent systems that can search the internet, query databases, write code and execute tasks automatically. Professionals who can build these systems are the most in-demand AI talent right now — with very few trained people available in Tamil Nadu.
🎯
Prompting Techniques
Zero-shot, few-shot, chain of thought, role prompting, tree of thought — each technique gets better results from AI for different tasks.
⚙️
Function Calling
Make AI call real Python functions — AI decides when to use a calculator, search tool or database query based on what the user asks.
📦
Structured Outputs
Get AI to return JSON, lists, tables and formatted data instead of free text. Makes AI output usable directly in your application code.
🔗
LangChain for LLM Apps
LangChain is the framework for building LLM-powered applications. You use it to chain prompts, manage memory and build multi-step AI workflows.
Week by week plan

1 month Curriculum — What You Build Each Week

Every day your team teaches for 45 minutes then you build. By week 4 you have a deployed live AI agent application.

W1
LLM Fundamentals and Basic Prompting
How LLMs work, tokens, context window, basic techniques
+
  • How LLMs work — tokens, context window, temperature, top-p parameters.
  • Zero-shot prompting — clear instructions, role assignment, output format.
  • Few-shot prompting — giving examples inside the prompt for better output.
  • Chain of thought — ask AI to think step by step for complex problems.
  • Build 3 mini tools — text summariser, language translator, Q&A bot.
✅ Week outcome — working agent that calls the Gemini API and uses one tool, pushed to GitHub
W2
Advanced Prompting and Function Calling
Structured output, function calling, error handling
+
  • Structured outputs — JSON mode — AI returns data your code can use directly.
  • Prompt chaining — output of one prompt feeds into the next as input.
  • Function calling — define functions AI can call when needed.
  • Build a tool that uses function calling — AI decides to calculate or search.
  • Error handling — manage hallucinations, token limits, API failures.
✅ Week outcome — working agent that calls the Gemini API and uses one tool, pushed to GitHub
W3
LangChain and LLM Application Development
LangChain chains, memory, retrieval basics
+
  • LangChain introduction — chains, prompts, models, output parsers.
  • Conversation memory — LangChain manages chat history automatically.
  • LangChain retrieval — load documents, search them, answer questions.
  • Build complete AI application — resume analyser with improvement suggestions.
  • Mid review — team reviews all tools, tests edge cases, gives feedback.
✅ Week outcome — working agent that calls the Gemini API and uses one tool, pushed to GitHub
W4
Combined Application and Deployment
Multi-tool Streamlit app, deploy, final demo
+
  • Combine 3 AI tools into one Streamlit multi-page application.
  • Add user authentication — let users save their AI results.
  • Polish UI — loading indicators, error messages, result formatting.
  • Deploy to Streamlit Cloud — live URL, test all tools thoroughly.
  • Final day — demo all AI tools live, receive 3 certificates.
✅ Week outcome — working agent that calls the Gemini API and uses one tool, pushed to GitHub
Your takeaways

What You Walk Out With on the Last Day

Not promises — this is what every intern before you already received.

Live Streamlit app with multiple LLM-powered tools
GitHub repository under Webgapp organisation
Internship Certificate from Webgapp
Internship Certificate accepted by all affiliated colleges and universities
Training Assessment Certificate
Resume line — Prompt Engineer Intern, Gemini API LangChain, Webgapp Madurai
College submission pack
Letter of Recommendation for Distinction grade
Where this takes you

Career Path After Prompt Engineering and LLM Applications Internship

AI Agent Development is among the highest-paid and fastest-growing roles in India's technology sector in 2025.

🧑‍💻 Prompt Engineer
Designs effective prompts for AI systems used in products
₹4 LPA – ₹15 LPA
🧑‍💻 AI Product Specialist
Builds and manages AI-powered features in company products
₹6 LPA – ₹18 LPA
🧑‍💻 LLM Application Developer
Builds end-to-end applications powered by large language models
₹5 LPA – ₹18 LPA
🧑‍💻 Conversational AI Developer
Builds intelligent chatbots and AI assistants for businesses
₹5 LPA – ₹16 LPA
Technology stack

Tools You Will Use in This Internship

All tools are free or have free tiers. No paid software required.

💻
Python
Git + GitHub
💻
Gemini API
Streamlit Cloud
💻
LangChain
Google Colab
💻
Streamlit
OpenAI API (optional)
Why this programme

Prompt Engineering and LLM Applications Internship vs Regular AI Internship

Understand what makes this programme different from a standard AI or Python internship.

Feature Regular AI Internship Prompt Engineering and LLM Applications — Webgapp
What you build ML model or basic chatbot Autonomous AI agent with tools and memory
Technologies taught Scikit-learn, pandas, theory LangChain, Gemini API, ChromaDB, Streamlit
Live deployment Rarely Yes — Streamlit Cloud with public URL
GitHub portfolio Usually not tracked Under Webgapp org — 20+ daily commits
Industry demand 2025 Medium Highest — very few trained professionals
Salary range ₹3–8 LPA ₹5–30 LPA
Certificates 1 generic certificate 3 certificates + Letter of Recommendation
Project shows to HOD Theory project / notebook Live running AI agent — opens on any browser
Student reviews

What Our Students Say About Webgapp

4.8★ rated by 382 students on Google — Madurai's most reviewed internship training company.

4.8
★★★★★
Based on 382 Google reviews
GST Registered · ISO Certified · 10+ Years · Madurai, Tamil Nadu
★★★★★
"My internship at Webgapp provided me with strong practical knowledge. The guidance and support from the mentors were excellent, making complex concepts easy to understand. This internship significantly enhanced my skills and boosted my confidence."
RR
Rithanya Raja
Web Development Intern
★★★★★
"I completed my internship in Python and learned basic programming concepts. It helped me improve my coding skills and understand how Python is used in practical applications. Overall, it was a good learning experience."
RU
Rubina R
Python Intern
★★★★★
"I recently completed my internship at Webgapp, and it was a very good learning experience for me. The team was supportive and the projects were practical and relevant to the industry."
HA
Harini
Web Development Intern
Read all 382 student reviews on Google
Got questions?

Frequently Asked Questions

Everything you need to know about the AI Agent Development internship at Webgapp.

What is Prompt Engineering?

Prompt Engineering is the skill of writing precise instructions to AI models to get reliable and useful outputs. Instead of building the AI, you master communicating with it. It is one of the most in-demand AI skills in 2025.

Do I need ML or deep learning knowledge? +

No. Prompt Engineering does not require machine learning or mathematics knowledge. Basic Python is required. The programme focuses on communication with AI models — not building them from scratch.

What is the difference between this programme and AI Agent Development? +

Prompt Engineering teaches you how to communicate effectively with AI and build LLM-powered tools. AI Agent Development builds on this by teaching you to create autonomous systems that use tools and reason over multiple steps. Prompt Engineering is the recommended foundation before AI Agents.

What will I build? +

Multiple LLM-powered tools — summariser, translator, Q&A bot, resume analyser and document analyser — all combined into one deployed Streamlit application with LangChain integration.

What certificate do I get? +

Three certificates — Internship Certificate from Webgapp, Internship Certificate accepted by all affiliated colleges and universities, and Training Assessment Certificate.

What is the fee? +

The registration fee for 1-month Prompt Engineering internship is Rs.4,500. Contact us for current batch dates and availability.

Also available

Other AI Programmes at Webgapp

Take all 3 together as the Complete AI Engineer Program — or add them one at a time.

💬
Prompt Engineering + LLM Apps
Master AI communication. Build real AI tools using Gemini API. 1 month.
View Programme →
🔍
RAG Systems
Make AI answer from your own documents. Vector databases and LangChain. 1 month.
View Programme →

Apply for Prompt Engineering and LLM Applications Internship

Limited seats per batch · Max 22 students · Morning and afternoon slots · Madurai

Call / WhatsApp
+91 97879 68375 (Mr. Subash)
+91 74187 75297 (Ms. Vaishnavi)
Address
1st Floor, AJ Complex
Bye-pass Road, PRC Depo Opp
Madurai, Tamil Nadu 625010
Apply Now — Start Your AI Career
Seats fill fast · Register early · Webgapp, Madurai
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