🎓 AI Programming with Python

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

Build real-world AI systems using Python — from APIs and LLM prompts to LangChain and no-code automation tools. Learn how to connect OpenAI, DeepSeek, Gemini, and OpenRouter into intelligent workflows that actually work.

📅 Next Batch Starts: Every Month

💰 Fee: Starting from ₹5,000

🏫 Mode: Online + Offline (Indore Center)

📜 Certificate: DebugShala ISO-Certified

Duration: 2 Months (8 Weeks)

🔥 Seats filling fast — Enroll today and start your AI journey!

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💡 Why Choose “AI Programming with Python”

This is not a theory-only Python course — it’s a hands-on AI integration program built for the modern developer, creator, and automation enthusiast.

At AI Computer Classes – Indore, you’ll work directly with real APIs, multi-model LLMs, and no-code tools to build practical AI workflows from scratch.

What Makes This Course Stand Out

✅ AI-Oriented Practical Training

✅ Hands-On Projects Every Week

✅ ISO-Certified DebugShala Certificate

✅ Affordable & Flexible (Starting ₹5,000)

✅ New Batches Every Month (Online + Offline)

✅ Learn Integration with OpenAI, Gemini, DeepSeek, LangChain

Learn Smart. Learn Practical. Learn AI.

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📚 Course Curriculum (8 Weeks)Week 1: Introduction to AI and Python Essentials

  • What is AI? Overview & Applications
  • AI Ecosystem: APIs, Model Providers & Automation Platforms
  • Setting up Python Environment (VS Code, virtualenv, dependencies)
  • Python Basics: Data Types, Loops, Functions & Libraries
  • Essential AI Libraries: Requests, JSON, Pandas

Week 2: API Fundamentals and Integrations

  • Understanding APIs – Endpoints, Methods, Headers, Payloads
  • Making API calls & parsing JSON responses with Python
  • Managing API Keys & Authentication
  • Handling Rate Limits & Error Responses
  • Build Your First AI-Powered API Integration

Week 3: Prompt Engineering & LLM Interaction Design

  • Understanding Large Language Models (LLMs)
  • Writing Structured Prompts for Accuracy
  • Tokens, Temperature, Top-p Explained
  • Prompt Types: Zero-Shot, Few-Shot, Chain-of-Thought, ReAct & Instruction-Based
  • Best Practices for Testing Prompts Programmatically

Week 4: Working with Multiple AI Providers

  • Overview of OpenAI, DeepSeek, Gemini & OpenRouter
  • Comparing Models (GPT, Gemini, Claude, Mistral)
  • Dynamic Multi-Model APIs in Python
  • Modular Provider Switching & Config Design
  • Pricing & Latency Considerations

Week 5: Retrieval-Augmented Generation (RAG) with LangChain

  • What is RAG and Why It Matters
  • LangChain Architecture Basics
  • Building a RAG Pipeline in Python
  • Document Loaders, Embeddings & Retrievers
  • Integrating OpenAI / Gemini / DeepSeek Models with LangChain

Week 6: Vector Databases & Contextual Knowledge Systems

  • Understanding Embeddings & Vector Representations
  • Vector DBs: ChromaDB, Pinecone, FAISS
  • Contextual Search & Retrieval
  • LangChain + Vector DB Integration
  • Build a Local Knowledge Chatbot

Week 7: No-Code Workflow Automation with AI

  • Intro to n8n, Make, Zapier etc.
  • Triggers, Actions & API Connections
  • Integrate LLMs into Automations
  • Automate Reports, Summaries & Business Workflows
  • Build Multi-Step AI-Automation Pipelines

Week 8: Capstone Project & Deployment

  • End-to-End AI Workflow Design
  • Multi-Provider Integration & Performance Comparison
  • Environment Management & API Security
  • Testing & Scalability Optimization
  • Final Project Presentation & Deployment

🎯 Hands-On Projects You’ll Build

  • AI Chat Assistant with Multiple Providers
  • LangChain + Vector DB Chatbot
  • AI Content Generator API
  • Business Process Automation via n8n/Make
  • End-to-End Intelligent Workflow (OpenAI + Gemini + DeepSeek)

👉 [📄 Download Full Syllabus PDF]



🧩 Recommended Tools & Libraries

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

Vector DBs: ChromaDB, Pinecone, FAISS

Automation Tools: n8n, Make, Zapier

Python Packages: Requests, Pandas, SQLAlchemy, dotenv

Resources: OpenAI Docs | LangChain Hub | DeepSeek API Docs | Gemini AI Studio | OpenRouter API Reference


🏅 Certification

Upon successful completion, you’ll receive an ISO-Certified Certificate from DebugShala, recognizing your proficiency in AI Programming with Python and Applied AI Systems.

✅ Globally Recognized Certificate

✅ Enhance Your Resume & Portfolio

✅ Digital + Printed Certificate Available

🎓 [Claim Your Certificate After Course Completion]



👨‍💻 Who Can Join

  • Students who want to start AI careers
  • Professionals seeking to automate processes with AI
  • Entrepreneurs building AI products or tools
  • Developers wanting to learn LangChain & Vector DBs
  • Anyone interested in hands-on AI programming

💬 [Talk to Our Counselor – Find If This Course Fits You]



⚙️ Batch Details & Fee

Mode Duration Fee Next Batch Online 2 Months ₹ 5,000 Every Month Offline (Indore) 2 Months ₹ 5,000 Every Month 💳 Payment Options: UPI | Debit / Credit Card | Net Banking

🎯 Installment Option Available

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❓ Frequently Asked Questions

Q. Is this course beginner-friendly?

Absolutely — we start from basics and progress to real projects.

Q. Do you provide placement support?

No placement is offered — we focus on skill building and certification.

Q. Is the certificate valid for career growth?

Yes, you receive an ISO-Certified DebugShala Certificate.

Q. Can I attend both online and offline?

Yes — flexible hybrid learning is available for all students.

Q. Do I get recorded sessions?

Yes, all sessions are recorded and accessible anytime.

💬 [Need More Info? Talk to Our Admissions Team]



📞 Contact Us – AI Computer Classes Indore

📍 Address: 208, Captain C.S. Naidu Building, Old Palasia, Indore (MP) 452018

📞 Call Now: +91 91113 33255

📧 Email: hello@aicomputerclasses.com

🌐 Website: www.aicomputerclasses.com

Learn AI the Smart Way – Practical, Affordable, Certified.

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