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Generative AI
Engineering Course

Learn LLM APIs, RAG, AI Agents & Deployment – 100% Placement Guaranteed

Offline Classes (Kolkata – Sector V)

Lead by Industry Experts (9+ Years Experience)

16 Hours

100% Placement Guarantee + Moneyback Offer

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Bajaj Finance and EMI starts from ₹6,500

The DESUN Advantage

Certification of Course Completion:
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Turning Skills into a Career
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Learn from Real GenAI Engineers- Trainers who build and deploy production RAG and agent systems.
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AI-Integrated Curriculum- Learn LangChain, vector databases, and agent frameworks hands-on
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Project-Based Learning-Build a real RAG chatbot and deploy a production GenAI application.
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Career-Focused Mentorship-Interview prep, resume building, and placement readiness sessions.
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Hands-On API Practice-Work directly with OpenAI, Anthropic and open-source model APIs.
Built-In Career Support

100%

Placement Support

Up to ₹8 LPA

Our top students have moved into GenAI Engineer and AI Application Developer roles earning ₹4 LPA to ₹8 LPA.

Internship

With Real Client Projects
(Paid internship opportunities available)

Job Guarantee

Or Money-Back Offer

Certification of Internship:
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CI/CD & Build Tools Use Maven for dependency management and Jenkins for running automated test pipelines.

Skills You’ll Gain
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LLM API Integration- Call and handle responses from OpenAI, Anthropic and Gemini APIs.
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Retrieval Augmented Generation (RAG)-Build Q&A chatbots over custom documents with vector databases.
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Fine-Tuning & Model Customization-Know when to fine-tune versus use RAG versus prompt engineer.
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Production Deployment-Ship GenAI applications with FastAPI and cloud hosting.
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AI Agent Development-Build multi-step agents with tool use and LangChain/LangGraph.

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AI Safety & Guardrails- Apply monitoring, cost management, and responsible deployment.

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A technical, build-along path from LLM fundamentals to a deployed, production-ready GenAI application.

Module 1: Generative AI Foundations

  • How LLMs Work – Transformers, Tokens, Embeddings  

  • Traditional AI vs Generative AI  

  • Overview of Major Models 

  • Prompt Engineering for Developers 

Module 2: Working with LLM APIs

  • Making API Calls to OpenAI/Anthropic/Gemini  

  • Handling Responses, Streaming & Errors  

  • Managing API Costs & Rate Limits  

  • Building a Simple Chat Application

Module 3: Retrieval Augmented Generationg

  • What is RAG and Why It Matters  

  • Vector Databases & Embeddings Explained  

  • Document Chunking & Indexing Strategies  

  • Building a Q&A Chatbot with LangChain

Module 4: Building AI Agents

  • Agent Architecture – Tools, Memory, Planning  

  • Function Calling & Tool Integration 

  • Multi-Step Workflows with LangChain/LangGraph  

  • Debugging & Evaluating Agent Behavio

Module 5: Fine-Tuning & Deployment

  • When to Fine-Tune vs RAG vs Prompt Engineer  

  • Fine-Tuning Basics – Preparing Datasets  

  • Using Open-Source Models Locally (Ollama)  

  • Deploying with FastAPI & Cloud Hosting  

  • Capstone – Deploy a Production GenAI App

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What you’ll learn

LLM Foundations

Major Model Landscape

Transformers & Embeddings

Prompt Engineering

RAG & Vector Databases

RAG Chatbot Build

Document Chunking

Vector Search

AI Agent Development

LangChain / LangGraph

Agent Architecture

Function Calling

Multiplayer, AI & Publishing

Production GenAI App

Fine-Tuning Basics

FastAPI Deployment

Who is the Right Fit for This Course?
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Developers Wanting to Specialize in AI

Backend & Full Stack Developers Upskilling

Final Year Computer Science Students

Career-Switching Women (Restarting After a Break)

Data Professionals Moving into GenAI

Boost Your Resume with an Generative AI Engineering Course Certificate
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Industry-Recognised Certification:

Gain credibility and recognition with a trusted certification that enhances your professional profile.

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Get Noticed by Recruiters:
Boost your career prospects by mastering RAG, AI agents, and production GenAI engineering skills.
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Lifetime Value:
The Generative AI Engineering Certificate and deployed-app portfolio hold long-term value throughout your career.
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Our hiring partners
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Am I eligible to apply?
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Basic Programming Knowledge Recommended!

Comfortable with basic Python or another programming language? You're ready.

Best suited for developers, not complete programming beginners.

Final-year CS students can join now and graduate with a deployed GenAI app.

Explore GenAI Engineer, AI Application Developer, and ML pathways after training.

Gear Up For A Successful

Generative AI Engineering 

Career Ahead.

Begin with us to get a head start.
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Your Trust, & Our Treasure

As mentioned previously, it is through our services that we earn the trust and confidence of our clients, and it is precisely this trust that we treasure.

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