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Advanced AI Program

Generative AI Course: Build LLM Apps with RAG & Vector Databases

Master

Go beyond prompting and build real LLM applications. Learn RAG, embeddings, vector databases and AI agents with live mentors, ship 6 portfolio projects and earn a certificate.

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OpenAI APIClaude APIGoogle GeminiLangChainLlamaIndexPineconeChromaDBFAISSHugging FacePythonFastAPIStreamlitDockerGitHubJupyter

Who Is This Course For?

Built for anyone who wants to make decisions with data, not guesses.

Freshers

Turn Python skills into AI skills

Already know basic Python? Build real LLM apps and a portfolio that stands out for AI developer roles.

CS StudentsGraduatesPython Learners
1–5 Years

Move into AI engineering

Add RAG, vector search and LLM APIs to your skills and move from regular development to AI projects.

Software DevelopersData AnalystsTesters
5+ Years

Design reliable AI systems

Learn architecture, evaluation and guardrails so your team can ship LLM features with confidence.

Tech LeadsArchitectsEngineering Managers
Data Professionals

Put your data to work with LLMs

Connect company documents and databases to AI so people can ask questions and get grounded answers.

Data ScientistsData EngineersBI Analysts

Anyone can call an LLM. The real skill is making it answer from your own data.

Program Highlights

Generative AI Course: Build LLM Apps with RAG & Vector Databases with real projects and hands-on mentoring.

Curriculum

A Curriculum Built Around Real LLM Apps

  1. Strong base: LLM APIs, prompting and embeddings explained step by step.
  2. Core stack: RAG, vector databases, agents and evaluation.
  3. Production skills: deployment, cost control and guardrails.
  4. Kept current: updated as new models and tools launch.
Live Sessions

Code Along with Mentors, Live

  1. Live coding: build pipelines with your mentor in every class.
  2. Real-time doubts: ask and fix errors on the spot.
  3. Recordings included: revise any session later.
Expert Mentors

Learn from Engineers Who Ship AI

  1. Industry practitioners: mentors who work with LLM systems.
  2. Code reviews: get feedback on your repositories.
  3. Architecture advice: choose the right tools for your use case.
Hands-on Projects

Build 6 Projects for Your Portfolio

  1. Document Q&A bot using RAG.
  2. Semantic search with a vector database.
  3. AI agent that uses tools and APIs.
  4. Capstone: a deployed LLM app on GitHub.
Certification

Get Certified in Generative AI Development

  1. Course certificate after projects and the final assessment.
  2. Share it online on your resume and LinkedIn.
  3. Skill-based: shows what you can build, not just attend.
Mock Interviews

Prepare for AI Developer Interviews

  1. Technical rounds: RAG, embeddings and LLM design questions.
  2. Project walkthroughs: practise explaining your own builds.
  3. Resume and GitHub review.
Job Placement

Support to Land AI Roles

  1. Role guidance: AI developer, LLM engineer and AI analyst paths.
  2. Referrals and openings shared by our team.
  3. Career counselling with a mentor.
Generative AI Course: Build LLM Apps with RAG & Vector Databases at JustAcademy
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Code Copilot

Get instant help writing, debugging and explaining your RAG and API code.

AI Doubt Solver

Ask technical questions anytime and get clear answers with code examples.

Smart Practice Labs

Test the same question across different models and vector stores and compare results.

Project Reviewer

Get AI-assisted feedback on your repository before the mentor review.

Mock Interview Bot

Practise LLM and RAG interview questions and get scored feedback.

Projects You'll Actually Build

Every project goes from raw messy data to a decision-ready, AI-assisted deliverable.

Beginner Project

Chat with Your PDFs

Build a bot that answers questions from uploaded documents.

PythonOpenAIAPIChromaDB
AI finds the right page and cites its source.
Core Project

Semantic Search Engine

Turn product or article data into embeddings and search by meaning.

PineconeHugging FaceFastAPI
Finds results even when the words don't match.
RAG Project

Company Knowledge Assistant

Create an internal assistant for policies, FAQs and manuals.

LangChainFAISSStreamlit
Answers stay grounded in your own documents.
Agent Project

AI Research Agent

Build an agent that searches, reads and summarises information using tools.

LangChainClaude APIPython
The agent decides which tool to use next.
Evaluation Project

RAG Quality Dashboard

Measure answer accuracy and spot hallucinations in your pipeline.

PythonLlamaIndexStreamlit
AI scores answers so you can improve them fast.
Capstone Project

Deployed LLM Application

Design, build and deploy a full LLM app for a use case you choose.

FastAPIDockerGitHub
Combine RAG, agents and an API in one product.

How JustAcademy Works

Small batches, real mentors, and AI in every lab, not bolted on at the end.

Small Batches, Real Attention

Max 15 learners per batch so your mentor knows your name, your project and your gaps.

AI-First Labs

Every lab has a GenAI step: prompt it, verify it, ship it. You learn to work with AI, not compete with it.

Offline + Online, Your Choice

Attend at our centre or join live online. Recordings and notes for every session.

Project-Graded, Not Exam-Graded

No theory tests. You pass milestones by shipping dashboards, queries and reports that get reviewed.

Placement Until You're Placed

Mock interviews, resume reviews and referrals continue after the course, not just during it.

Lifetime Access & Alumni Network

Updated curriculum, alumni community and re-attend any module free, forever.

Success Stories of Our Alumni

Our alumni now work across leading companies, startups, and global organizations.

Our Placement Report

See where our learners work, how their salaries grew, and the roles they joined after the program. Download the full report for company names and role breakdowns.

0Median Hike
0Students Placed
0LPAHighest Package
JustAcademy Generative AI Course: Build LLM Apps with RAG & Vector Databases certificate
Certification

Earn a Certificate Recruiters Recognise

Complete the program to receive the JustAcademy Generative AI Course: Build LLM Apps with RAG & Vector Databases certificate. Verified, shareable and backed by your project portfolio.

  • Verifiable with a unique ID employers can check
  • LinkedIn-ready - add it to your profile in one click
  • Internship letter included on completion of the capstone
  • Portfolio link printed on the certificate itself
Our learners work at
Accenture Tcs Mahindra Runtime Skillza G-tech Accenture Tcs Mahindra Runtime Skillza G-tech

Last Mile 3-Stage Exclusive Preparation

Your final sprint to career success, designed to help you shine in placements.

01

Gear Up

Build a strong online presence to get noticed by recruiters.

02

Pitch Perfect

Master the art of storytelling to confidently crack HR interviews.

03

Tech Skill Setup

Get ready for technical rounds with real-world challenges.

Gear Up
Gear Up
LinkedIn Optimisation

Craft a profile that attracts recruiters and showcases your project work.

Portfolio Building

Publish your capstone projects and data dashboards with guided support.

Resume Workshop

ATS-friendly templates reviewed by our placement team.

GitHub & Kaggle Setup

Establish a public presence that proves your hands-on skills.

Pitch Perfect
Pitch Perfect
Mock HR Interviews

Practise common HR questions with recorded feedback sessions.

Storytelling Framework

Learn the STAR method to narrate your project impact clearly.

Salary Negotiation

Tactics to confidently discuss compensation and benefits.

Group Discussion Prep

Practice structured arguments and active listening in group settings.

Tech Skill Setup
Tech Skill Setup
Technical Round Prep

Problem-solving with SQL, Excel, Python, and BI-based questions.

Assessments

Tackle assignments and case study-specific data problems.

Whiteboarding Challenges

Practice structured thinking and data storytelling on the spot.

Guesstimates Practice

Crack analytical estimation and business reasoning confidently.

FAQ

Got Questions? We've Got Answers

Still unsure? Book a free demo class and talk to a program advisor. No commitment.

Book Free Demo

Yes, basic Python (variables, loops, functions) is enough. A short Python refresher in Week 1 helps you catch up.

No. We start with how LLMs work and build up step by step.

RAG (Retrieval-Augmented Generation) lets an AI model answer using your own documents and data, which makes its answers more accurate and reduces made-up facts.

It stores text as numbers (embeddings) so an app can search by meaning instead of exact words. You will work with Chroma, FAISS and Pinecone.

Python, OpenAI and Claude APIs, LangChain, LlamaIndex, Pinecone, ChromaDB, FAISS, FastAPI, Streamlit and Docker.

Yes. Most practice can be done with free tiers. Some API usage may cost a small amount, and we guide you on keeping costs low.

Yes, after you complete the projects and the final assessment.

Live with mentors. Yes Recordings are shared for revision.

Yes: resume and GitHub review, mock interviews and job referrals. Placement support is assistance and does not guarantee a job.
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