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EduInX Premium Certification

APPLIED GENERATIVE AI :
FROM LLMs TO RAG SYSTEMS

Master the future of AI. A complete 10-month roadmap covering Python, Transformers, Vector DBs, Agents, and Enterprise Deployment. Build real-world RAG systems and autonomous agents.

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10
Months Duration
280+
Learning Hours
15+
Industry Projects
100%
Placement Support

Program Highlights

Why This Program?

Transformer Architecture
LLM Fine-Tuning
RAG Systems
Vector Databases
AI Agents And Capstone Projects

Assessment & Evaluation Model

  • Weekly assignments
  • System build reviews
  • Code quality audits
  • Architecture walkthroughs
  • Project demos
  • Capstone defense
No MCQs. Only real engineering output.

Mentorship Model

  • Lead GenAI Architect (Program Mentor)
  • Industry Engineers (Module Mentors)
  • Weekly doubt-solving sessions
  • Monthly career strategy calls
  • Code review sessions

"The Applied Generative AI program is designed for ambitious professionals ready to lead the AI revolution. From Python foundations to building autonomous agents and enterprise RAG systems, this course provides the exact toolkit needed for high-paying AI roles in 2026."

Tech Stack

Tools & Frameworks

  • Python Python
  • VSCode VS Code
  • OpenAI OpenAI API
  • 🤗 HuggingFace
  • LangChain
  • Pinecone
  • PyTorch PyTorch
  • Streamlit Streamlit
  • FastAPI FastAPI
  • GitHub GitHub
  • Jupyter Jupyter

Detailed Syllabus

Course Curriculum

A structured 10-month journey from Foundations to Advanced GenAI.

Phase 1: Foundations

Module 1 — Python & AI Engineering Foundations

(Core Programming + ML Basics)

Topics Covered

  • Advanced Python syntax & design patterns
  • Object-Oriented Programming for AI systems
  • Async Python for APIs
  • Data validation using Pydantic
  • API design using FastAPI
  • Feature engineering techniques & Model evaluation metrics
  • Train / Validation / Test pipelines & Error analysis

Hands-On Build

  • Build an ML model & Expose via REST API
  • Logging & monitoring setup
  • Deploy a prediction microservice
Phase 1: Foundations

Module 2 — LLM Core & Transformer Engineering

(Understanding Large Language Models Internals)

Topics Covered

  • Transformer architecture overview & Self-attention mechanisms
  • Positional embeddings & Encoder vs Decoder models
  • Tokenization techniques, Context windows & model limitations
  • HuggingFace Engineering: Load and serve open-source models
  • Fine-tuning using LoRA & QLoRA
  • Quantization strategies & Inference optimization

Hands-On Build

  • Deploy an open-source LLM
  • Build custom inference pipeline
  • API-based text generation system
Phase 1: Core GenAI

Module 3 — Prompt Systems Engineering

(Real-World Prompt Design & Control)

Topics Covered

  • Prompt templates & reusable structures
  • Role-based prompting & Self-reflection loops
  • Chain-of-Thought reasoning
  • JSON schema structured outputs
  • Guardrails & validation
  • Token cost optimization

Hands-On Build

  • Multi-prompt workflows
  • Structured output orchestration engine
  • Cost & performance monitoring
Phase 1: Core GenAI

Module 4 — Embeddings & Vector Databases

(Semantic Search & Knowledge Representation)

Topics Covered

  • Semantic similarity concepts & Chunking strategies
  • Hybrid search methods & Metadata filtering
  • Vector indexing principles
  • Vector Databases: FAISS, Qdrant, Pinecone, Weaviate, Milvus

Hands-On Build

  • Document ingestion pipeline
  • Vector index creation & Query via API
  • Deployed semantic search engine
Phase 1: Advanced

Module 5 — Retrieval Augmented Generation (RAG) Systems

(Enterprise Knowledge AI Systems)

Topics Covered

  • RAG architecture design, Ingestion pipelines & Retrieval strategies
  • Re-ranking models & Context window optimization
  • Hallucination reduction & RAG evaluation metrics
  • Advanced RAG: Multi-hop RAG, Graph RAG, SQL + RAG, Multimodal RAG

Hands-On Build

  • PDF & document ingestion
  • Semantic retrieval engine
  • AI answer generation & Enterprise chatbot deployment
Phase 1: Advanced

Module 6 — Agentic AI & Multi-Agent Systems

(Autonomous AI Systems)

Topics Covered

  • Agent design patterns & Planning vs Execution agents
  • Tool routing strategies, Memory systems & Safety policy enforcement
  • Multi-Agent Roles: Research agent, Coding agent, QA agent, Supervisor agent

Hands-On Build

  • Multi-agent workflow system
  • Task routing engine
  • Autonomous execution platform
Phase 2: Projects

Module 7 — AI Infrastructure, Security & MLOps

(Production-Grade AI Deployment)

Topics Covered

  • GPU vs CPU inference trade-offs & Model serving architectures
  • Caching strategies, Rate limiting & Streaming responses
  • Observability: Prompt logging, Token usage tracking, Latency monitoring, Error tracing
  • Security: Prompt injection defense, Jailbreak prevention, Data leakage protection, RBAC systems

Hands-On Build

  • End-to-end AI backend platform
  • Monitoring dashboard
  • Secure AI deployment
Phase 2: Projects

Module 8 — Full Stack AI Product Development

(Building Monetizable AI Products)

Topics Covered

  • FastAPI backend development
  • Streamlit / React frontends
  • Authentication systems
  • SaaS architecture design
  • Payment API integration

Hands-On Build

  • AI SaaS product creation
  • User authentication & Subscription logic
  • Cloud deployment
Phase 2: Capstone

Module 9 — Industry Projects & Capstone

(Specialization + Portfolio Systems)

Industry Tracks (Choose Any Two)

  • BFSI: Credit Risk Copilot, Fraud Detection Assistant
  • HR / EdTech: AI Interviewer, Resume Evaluator
  • E-commerce: AI Product Recommender, Review Analysis Engine

Deliverables

  • System Design Document
  • API Architecture
  • GitHub Repository
  • Live Deployment Demo

Tuition

Investment Plans

Applied Generative AI: LLM → RAG Systems Launching Soon.
30% FLAT OFF for First 10 Enrollments – Spots Filling Fast!

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Job Assurance

₹1,20,000 + GST

Placement Assurance

1-on-1 Mentorship

Capstone & Internship

Mock Interviews

Lifetime LMS Access

Validation

Your Professional Credential

EduInX Certificate

  • Instantly Shareable

    Add directly to your LinkedIn Profile and Resume.

  • Globally Verified

    Unique ID verifiable by employers worldwide.

  • Career Ready

    Validates mastery of 15+ industry tools & frameworks.

Our Experts

Meet Your Mentors

Murthy Adivi

Murthy Adivi

Mentor

Dinesh Kumar

Dinesh Kumar

Mentor

Success Stories

Our Placed Students

See how our alumni transformed their careers.

Tejas Uttarwar

Tejas Uttarwar

17 LPA
Previously

Salesforce Dev

Previous
Now

Assoc III – Tech

Kotak Mahindra
Mahanth Gouda

Mahanth Gouda

50 LPA
Previously

Product Manager

Previous
Now

Product Lead

Bert Labs
Sindhujaa Asokan

Sindhujaa Asokan

35 LPA
Previously

Product Owner

Previous
Now

Assoc Prod Mgr

Citius Tech
Ritesh Kumar

Ritesh Kumar

32 LPA
Previously

Sr Ops Manager

Bluevine
Now

Tech Ops Mgr

Bhanzu
View More Stories

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