🎓 AI Programming with Python

Master AI Automation, APIs, LangChain & Multi-Model Integrations

Build powerful AI systems using Python, real APIs and practical automation tools.

Learn how to integrate OpenAI, DeepSeek, Gemini and OpenRouter into smart workflows that actually work.

📅 Next Batch Starts: Every Month

⏱ Duration: 2 Months (8 Weeks)

💰 Fee: ₹7000

🏫 Mode: Online + Offline (Indore Center)

📜 Certificate: DebugShala ISO Certified

🔥 Seats fill quickly, start your AI journey today.

Why Learn AI Programming

This program isn’t theory heavy. You learn by building real AI features that developers, freelancers and companies use daily.

✨ Work with real APIs and real data

✨ Learn prompt engineering and LLM interaction

✨ Build RAG systems using LangChain

✨ Use vector DBs like ChromaDB, Pinecone and FAISS

✨ Automate workflows using n8n, Make or Zapier

By the end, you’ll be able to design end-to-end AI systems that combine Python, APIs and automation tools.

Course Overview

You start with essentials, then move step by step into:

• AI APIs

• Prompt engineering

• Multi-model integration

• LangChain pipelines

• Vector databases

• No-code AI automations

• Full deployment

Every week includes hands-on projects so you actually build and deploy.

Detailed Curriculum (8 Weeks)

Week 1: Introduction to AI and Python Essentials

• What AI is and where it’s used

• Overview of APIs, model providers and automation tools

• Setting up Python: VS Code, virtualenv, dependencies

• Python basics: data types, loops, functions

• Core AI libraries: Requests, JSON, Pandas

Week 2: API Fundamentals and Integrations

• Understanding endpoints, methods and payloads

• Making API calls and parsing JSON

• Handling API keys and authentication

• Managing rate limits and error responses

• Build your first AI powered API integration

Week 3: Prompt Engineering and LLM Interaction

• How LLMs work and how they respond

• Writing structured prompts that stay accurate

• Temperature, tokens and top-p

• Prompt types: zero shot, few shot, chain of thought, role based, ReAct

• Testing and refining prompts programmatically

Week 4: Working with Multiple AI Model Providers

• OpenAI, DeepSeek, Gemini, OpenRouter overview

• Comparing GPT, Mistral, DeepSeek R1, Gemini etc

• Using Python to switch between providers dynamically

• Modular environment configuration

• Understanding pricing, performance and latency

Week 5: RAG Using LangChain

• What RAG is and why real applications use it

• LangChain basics and its architecture

• Building your first RAG pipeline

• Working with loaders, embeddings and retrievers

• Integrating multiple LLM providers into RAG

Week 6: Vector Databases and Contextual Knowledge Systems

• Understanding embeddings and vectors

• Vector databases: ChromaDB, Pinecone, FAISS

• Storing and retrieving knowledge contextually

• Connecting LangChain with vector DBs

• Building a local knowledge chatbot

Week 7: No-Code Workflow Automation with AI

• n8n, Make and Zapier basics

• Triggers, actions and visual API connections

• Adding AI models to workflows

• Automating reports, summaries and business tasks

• Building multi step AI automation pipelines

Week 8: Capstone Project and Deployment

• Designing a full AI system end to end

• Combining multiple providers into one workflow

• Managing environment variables and API security

• Deployment, documentation and testing

• Final project presentation

Projects You Will Build

✔ AI Chat Assistant using multiple providers

✔ LangChain chatbot with vector search

✔ AI content generator API

✔ Automated business workflow via n8n or Make

✔ End-to-end intelligent system combining OpenAI, Gemini and DeepSeek

🏆 Capstone: Multi-Provider AI Workflow with deployment

Download Curriculum

📄 Download the complete AI Programming with Python curriculum

Tools & Resources

AI Libraries: OpenAI, Gemini, DeepSeek, OpenRouter, LangChain

Vector Databases: ChromaDB, Pinecone, FAISS

Automation Tools: n8n, Make, Zapier

Python Packages: Requests, Pandas, SQLAlchemy, dotenv

Resources: LangChain Hub, OpenAI Docs, Gemini AI Studio

Certification

You’ll receive a DebugShala ISO Certified Certificate recognizing your skills in:

• AI API Integration

• Prompt Engineering

• LangChain

• Vector Database Workflows

• AI Automation

Perfect for resumes, freelance work and portfolio building.

Who Can Join

• Students beginning an AI career

• Developers upgrading to AI integration

• Freelancers building automation tools

• Entrepreneurs creating AI driven products

• Tech enthusiasts exploring modern AI

Batch & Fee Details

Online or Offline

Duration: 2 Months

Fee: ₹7000

New batches start every month

Installment option available

Contact Us

AI Computer Classes, Indore

208, Captain C. S. Naidu Building

Near Greater Kailash Road

Old Palasia, Indore, MP 452018

📞 Call: 9111333255

📧 Email: hello@aicomputerclasses.com

🌐 Website: aicomputerclasses.com

🚀 Build real AI systems. Learn Python the modern way. Start today.