Retrieval Augmented Generation Rag in Sector39 Near Unitech Cyber Park, Gurgaon

Master Retrieval Augmented Generation Rag with industry experts, live capstone projects, and comprehensive career assistance.

Looking for professional Retrieval Augmented Generation (RAG) & training in Gurugram Our comprehensive course at Blazingminds Learning is designed for students, working professionals, and business owners who want to gain practical expertise in Artificial Intelligence, Model Evaluation, Embeddings, Retrieval-Augmented Generation, Application Security, Large Language Modeling, System Monitoring, Fine-tuning, LLM Application, Vector databases. The training covers industry-relevant concepts, hands-on projects, real-world case studies, and certification preparation to help learners build job-ready skills.

With expert trainers, flexible learning schedules, and placement assistance, our Retrieval Augmented Generation (RAG) course in Gurugram helps participants stay competitive in today's job market. Whether you are a beginner or an experienced professional looking to upskill, this program provides the knowledge and practical experience needed to succeed.

Enroll today in the leading Retrieval Augmented Generation (RAG) training institute in Gurugram and take the next step toward your career goals.

Industry Recognized Course

What You'll Learn

Implement RAG pipelines for AI apps

How to design and build RAG systems tailored to real-world needs

How to weigh tradeoffs between cost, speed, and quality to choose the right techniques for each component of a RAG system

A foundational framework to adapt RAG systems as new tools and methods emerge

Course Curriculum

17 Modules • 111 Lessons

Limitations of standalone LLMs

10 min Preview

Understand and implement key concepts of Limitations of standalone LLMs to build, scale, and integrate secure FastMCP tools and servers.

Knowledge cutoff

10 min

Understand and implement key concepts of Knowledge cutoff to build, scale, and integrate secure FastMCP tools and servers.

Hallucination

10 min

Understand and implement key concepts of Hallucination to build, scale, and integrate secure FastMCP tools and servers.

Private enterprise data

10 min

Understand and implement key concepts of Private enterprise data to build, scale, and integrate secure FastMCP tools and servers.

Domain-specific knowledge

10 min

Understand and implement key concepts of Domain-specific knowledge to build, scale, and integrate secure FastMCP tools and servers.

Why RAG exists

10 min

Understand and implement key concepts of Why RAG exists to build, scale, and integrate secure FastMCP tools and servers.

Definition of Retrieval-Augmented Generation

10 min

Understand and implement key concepts of Definition of Retrieval-Augmented Generation to build, scale, and integrate secure FastMCP tools and servers.

Parametric vs non-parametric knowledge

10 min

Understand and implement key concepts of Parametric vs non-parametric knowledge to build, scale, and integrate secure FastMCP tools and servers.

RAG vs prompt engineering

10 min

Understand and implement key concepts of RAG vs prompt engineering to build, scale, and integrate secure FastMCP tools and servers.

RAG vs fine-tuning

10 min

Understand and implement key concepts of RAG vs fine-tuning to build, scale, and integrate secure FastMCP tools and servers.

RAG vs long-context prompting

10 min

Understand and implement key concepts of RAG vs long-context prompting to build, scale, and integrate secure FastMCP tools and servers.

When RAG is appropriate

10 min

Understand and implement key concepts of When RAG is appropriate to build, scale, and integrate secure FastMCP tools and servers.

When RAG is not appropriate

10 min

Understand and implement key concepts of When RAG is not appropriate to build, scale, and integrate secure FastMCP tools and servers.

Notebook prototype vs production application

10 min Preview

Understand and implement key concepts of Notebook prototype vs production application to build, scale, and integrate secure FastMCP tools and servers.

Separation of ingestion and query pipelines

10 min

Understand and implement key concepts of Separation of ingestion and query pipelines to build, scale, and integrate secure FastMCP tools and servers.

Configuration management

10 min

Understand and implement key concepts of Configuration management to build, scale, and integrate secure FastMCP tools and servers.

Environment variables

10 min

Understand and implement key concepts of Environment variables to build, scale, and integrate secure FastMCP tools and servers.

Dependency management

10 min

Build, optimize, and deploy production-grade enterprise RAG systems leveraging Dependency management techniques and architectures.

Logging structure

10 min

Build, optimize, and deploy production-grade enterprise RAG systems leveraging Logging structure techniques and architectures.

Model/provider abstraction

10 min

Build, optimize, and deploy production-grade enterprise RAG systems leveraging Model/provider abstraction techniques and architectures.

Retriever abstraction

10 min

Build, optimize, and deploy production-grade enterprise RAG systems leveraging Retriever abstraction techniques and architectures.

Vector-store abstraction

10 min

Build, optimize, and deploy production-grade enterprise RAG systems leveraging Vector-store abstraction techniques and architectures.

Service layers

10 min

Build, optimize, and deploy production-grade enterprise RAG systems leveraging Service layers techniques and architectures.

RAG ingestion architecture

10 min Preview

Build, optimize, and deploy production-grade enterprise RAG systems leveraging RAG ingestion architecture techniques and architectures.

Batch ingestion

10 min

Build, optimize, and deploy production-grade enterprise RAG systems leveraging Batch ingestion techniques and architectures.

Incremental ingestion

10 min

Build, optimize, and deploy production-grade enterprise RAG systems leveraging Incremental ingestion techniques and architectures.

Source connectors

10 min

Build, optimize, and deploy production-grade enterprise RAG systems leveraging Source connectors techniques and architectures.

File-based ingestion

10 min

Build, optimize, and deploy production-grade enterprise RAG systems leveraging File-based ingestion techniques and architectures.

API ingestion

10 min

Build, optimize, and deploy production-grade enterprise RAG systems leveraging API ingestion techniques and architectures.

Database ingestion

10 min

Build, optimize, and deploy production-grade enterprise RAG systems leveraging Database ingestion techniques and architectures.

Change detection

10 min

Build, optimize, and deploy production-grade enterprise RAG systems leveraging Change detection techniques and architectures.

Data versioning

10 min

Build, optimize, and deploy production-grade enterprise RAG systems leveraging Data versioning techniques and architectures.

Document IDs

10 min

Build, optimize, and deploy production-grade enterprise RAG systems leveraging Document IDs techniques and architectures.

Deduplication

10 min

Build, optimize, and deploy production-grade enterprise RAG systems leveraging Deduplication techniques and architectures.

Document hashing

10 min

Build, optimize, and deploy production-grade enterprise RAG systems leveraging Document hashing techniques and architectures.

Re-indexing

10 min

Build, optimize, and deploy production-grade enterprise RAG systems leveraging Re-indexing techniques and architectures.

Upserts

10 min

Build, optimize, and deploy production-grade enterprise RAG systems leveraging Upserts techniques and architectures.

Delete/update handling

10 min

Build, optimize, and deploy production-grade enterprise RAG systems leveraging Delete/update handling techniques and architectures.

Document Parsing ✔ Text extraction ✔ PDF layout problems ✔ Headers and footers ✔ Page boundaries ✔ Tables ✔ URLs ✔ Unicode issues ✔ OCR concepts ✔ Scanned vs native PDFs

10 min Preview

Build, optimize, and deploy production-grade enterprise RAG systems leveraging Document Parsing techniques and architectures.

Text Cleaning ✔ Whitespace normalization ✔ Duplicate content ✔ Navigation noise ✔ Repeated headers ✔ Broken sentences ✔ Encoding artifacts

10 min

Build, optimize, and deploy production-grade enterprise RAG systems leveraging Text Cleaning techniques and architectures.

Metadata Engineering ✔ Metadata should be treated as a first-class RAG component. ✔ Source metadata ✔ Structural metadata ✔ Business metadata ✔ Access-control metadata ✔ Metadata inheritance ✔ Metadata normalization ✔ Metadata filtering design

10 min

Build, optimize, and deploy production-grade enterprise RAG systems leveraging Metadata Engineering techniques and architectures.

Why Chunking? ✔ Context-window constraints ✔ Retrieval granularity ✔ Semantic completeness ✔ Precision vs recall

10 min Preview

Build, optimize, and deploy production-grade enterprise RAG systems leveraging Why Chunking? techniques and architectures.

Strategies ✔ Fixed-character splitting ✔ Fixed-token splitting ✔ Recursive chunking ✔ Sentence-based chunking ✔ Paragraph chunking ✔ Section-aware chunking ✔ Markdown-aware chunking ✔ Semantic chunking ✔ Document-structure-aware chunking ✔ Table-aware chunking

10 min

Build, optimize, and deploy production-grade enterprise RAG systems leveraging Strategies techniques and architectures.

Chunk Parameters ✔ Chunk size ✔ Chunk overlap ✔ Minimum chunk size ✔ Maximum chunk size

10 min

Build, optimize, and deploy production-grade enterprise RAG systems leveraging Chunk Parameters techniques and architectures.

Advance Pattern ✔ Parent-child relationships

10 min

Build, optimize, and deploy production-grade enterprise RAG systems leveraging Advance Pattern techniques and architectures.

Chunk Quality Evaluation ✔ Lost context ✔ Fragmentation ✔ Redundancy ✔ Noise ✔ Retrieval hit rate ✔ Context completeness

10 min

Build, optimize, and deploy production-grade enterprise RAG systems leveraging Chunk Quality Evaluation techniques and architectures.

Embedding ✔ What embeddings represent ✔ Text → vector transformation ✔ Embedding dimensions ✔ Dense embeddings ✔ Query embeddings ✔ Document embeddings ✔ Semantic similarity

10 min Preview

Build, optimize, and deploy production-grade enterprise RAG systems leveraging Embedding techniques and architectures.

Similarity Functions ✔ Cosine similarity ✔ Dot product ✔ Euclidean distance

10 min

Build, optimize, and deploy production-grade enterprise RAG systems leveraging Similarity Functions techniques and architectures.

Embedding Model Selection ✔ General-purpose embeddings ✔ Domain-specific embeddings ✔ Multilingual embeddings ✔ Open-source vs hosted embeddings ✔ Model dimensions ✔ Context length ✔ Cost ✔ Latency

10 min

Build, optimize, and deploy production-grade enterprise RAG systems leveraging Embedding Model Selection techniques and architectures.

Production Considerations ✔ Batch embeddings ✔ Embedding caching ✔ Model migration ✔ Re-embedding strategy ✔ Embedding version metadata

10 min

Build, optimize, and deploy production-grade enterprise RAG systems leveraging Production Considerations techniques and architectures.

Vector store vs vector database

10 min Preview

Build, optimize, and deploy production-grade enterprise RAG systems leveraging Vector store vs vector database techniques and architectures.

Vector index

10 min

Build, optimize, and deploy production-grade enterprise RAG systems leveraging Vector index techniques and architectures.

Exact nearest neighbor

10 min

Build, optimize, and deploy production-grade enterprise RAG systems leveraging Exact nearest neighbor techniques and architectures.

Approximate nearest neighbor

10 min

Build, optimize, and deploy production-grade enterprise RAG systems leveraging Approximate nearest neighbor techniques and architectures.

ANN concepts

10 min

Build, optimize, and deploy production-grade enterprise RAG systems leveraging ANN concepts techniques and architectures.

HNSW

10 min

Build, optimize, and deploy production-grade enterprise RAG systems leveraging HNSW techniques and architectures.

IVF concepts

10 min

Build, optimize, and deploy production-grade enterprise RAG systems leveraging IVF concepts techniques and architectures.

Similarity metrics

10 min

Build, optimize, and deploy production-grade enterprise RAG systems leveraging Similarity metrics techniques and architectures.

Top-K retrieval

10 min

Build, optimize, and deploy production-grade enterprise RAG systems leveraging Top-K retrieval techniques and architectures.

Lexical Retrieval ✔ Inverted indexes ✔ TF-IDF ✔ BM25 ✔ Keyword search

10 min Preview

Build, optimize, and deploy production-grade enterprise RAG systems leveraging Lexical Retrieval techniques and architectures.

Dense Retrieval ✔ Semantic search ✔ Similarity search ✔ Top-K selection ✔ Score thresholds

10 min

Build, optimize, and deploy production-grade enterprise RAG systems leveraging Dense Retrieval techniques and architectures.

Retrieval Parameters ✔ k ✔ similarity threshold ✔ search depth ✔ filters

10 min

Build, optimize, and deploy production-grade enterprise RAG systems leveraging Retrieval Parameters techniques and architectures.

Retrieval Failure Modes ✔ No relevant document ✔ Relevant document ranked too low ✔ Semantically similar but incorrect result ✔ Duplicate results ✔ Context fragmentation ✔ Vocabulary mismatch

10 min

Build, optimize, and deploy production-grade enterprise RAG systems leveraging Retrieval Failure Modes techniques and architectures.

Retrieval Evaluation ✔ Precision@K ✔ Recall@K ✔ Hit Rate ✔ Mean Reciprocal Rank ✔ Mean Average Precision ✔ NDCG concepts

10 min

Build, optimize, and deploy production-grade enterprise RAG systems leveraging Retrieval Evaluation techniques and architectures.

Sparse retrieval

10 min Preview

Build, optimize, and deploy production-grade enterprise RAG systems leveraging Sparse retrieval techniques and architectures.

Dense retrieval

10 min

Build, optimize, and deploy production-grade enterprise RAG systems leveraging Dense retrieval techniques and architectures.

Hybrid retrieval

10 min

Build, optimize, and deploy production-grade enterprise RAG systems leveraging Hybrid retrieval techniques and architectures.

Weighted score fusion

10 min

Build, optimize, and deploy production-grade enterprise RAG systems leveraging Weighted score fusion techniques and architectures.

Reciprocal Rank Fusion

10 min

Build, optimize, and deploy production-grade enterprise RAG systems leveraging Reciprocal Rank Fusion techniques and architectures.

Metadata filtering

10 min

Build, optimize, and deploy production-grade enterprise RAG systems leveraging Metadata filtering techniques and architectures.

Filter-before-search

10 min

Build, optimize, and deploy production-grade enterprise RAG systems leveraging Filter-before-search techniques and architectures.

Filter-after-search

10 min

Build, optimize, and deploy production-grade enterprise RAG systems leveraging Filter-after-search techniques and architectures.

Why user queries are poor retrieval queries

10 min Preview

Build, optimize, and deploy production-grade enterprise RAG systems leveraging Why user queries are poor retrieval queries techniques and architectures.

Query normalization

10 min

Build, optimize, and deploy production-grade enterprise RAG systems leveraging Query normalization techniques and architectures.

Query rewriting

10 min

Build, optimize, and deploy production-grade enterprise RAG systems leveraging Query rewriting techniques and architectures.

Query expansion

10 min

Build, optimize, and deploy production-grade enterprise RAG systems leveraging Query expansion techniques and architectures.

Acronym expansion

10 min

Build, optimize, and deploy production-grade enterprise RAG systems leveraging Acronym expansion techniques and architectures.

Spelling normalization

10 min

Build, optimize, and deploy production-grade enterprise RAG systems leveraging Spelling normalization techniques and architectures.

Domain terminology

10 min

Build, optimize, and deploy production-grade enterprise RAG systems leveraging Domain terminology techniques and architectures.

Metadata extraction from queries

10 min

Build, optimize, and deploy production-grade enterprise RAG systems leveraging Metadata extraction from queries techniques and architectures.

Query decomposition concepts

10 min

Build, optimize, and deploy production-grade enterprise RAG systems leveraging Query decomposition concepts techniques and architectures.

Multi-query retrieval

10 min

Build, optimize, and deploy production-grade enterprise RAG systems leveraging Multi-query retrieval techniques and architectures.

HyDE concepts

10 min

Build, optimize, and deploy production-grade enterprise RAG systems leveraging HyDE concepts techniques and architectures.

Why initial retrieval is imperfect

10 min Preview

Build, optimize, and deploy production-grade enterprise RAG systems leveraging Why initial retrieval is imperfect techniques and architectures.

Retrieve-many / rerank-few

10 min

Build, optimize, and deploy production-grade enterprise RAG systems leveraging Retrieve-many / rerank-few techniques and architectures.

Bi-encoder vs cross-encoder

10 min

Build, optimize, and deploy production-grade enterprise RAG systems leveraging Bi-encoder vs cross-encoder techniques and architectures.

Cross-encoder reranking

10 min

Build, optimize, and deploy production-grade enterprise RAG systems leveraging Cross-encoder reranking techniques and architectures.

LLM reranking concepts

10 min

Build, optimize, and deploy production-grade enterprise RAG systems leveraging LLM reranking concepts techniques and architectures.

Diversity-aware ranking

10 min

Build, optimize, and deploy production-grade enterprise RAG systems leveraging Diversity-aware ranking techniques and architectures.

Duplicate suppression

10 min

Build, optimize, and deploy production-grade enterprise RAG systems leveraging Duplicate suppression techniques and architectures.

Maximal Marginal Relevance

10 min

Build, optimize, and deploy production-grade enterprise RAG systems leveraging Maximal Marginal Relevance techniques and architectures.

Score normalization

10 min

Build, optimize, and deploy production-grade enterprise RAG systems leveraging Score normalization techniques and architectures.

Context Engineering ✔ Building augmented prompts ✔ System instructions ✔ User query ✔ Retrieved context ✔ Context delimiters ✔ Citation metadata ✔ Context ordering ✔ Token budgeting ✔ Context deduplication ✔ Context compression concepts ✔ Handling conflicting documents

10 min Preview

Build, optimize, and deploy production-grade enterprise RAG systems leveraging Context Engineering techniques and architectures.

Grounded Generation ✔ Grounded response generation ✔ Answer abstention ✔ Source attribution ✔ Inline citations ✔ Structured responses ✔ JSON output ✔ Hallucination reduction

10 min

Build, optimize, and deploy production-grade enterprise RAG systems leveraging Grounded Generation techniques and architectures.

Context Failure Modes ✔ Too Much Context ✔ Irrelevant Context ✔ Contradictory Context ✔ Lost In The Middle ✔ Stale Information

10 min

Build, optimize, and deploy production-grade enterprise RAG systems leveraging Context Failure Modes techniques and architectures.

Build an Evaluation Dataset ✔ Question ✔ Expected Answer ✔ Relevant Documents ✔ Expected Citations ✔ Metadata

10 min Preview

Build, optimize, and deploy production-grade enterprise RAG systems leveraging Build an Evaluation Dataset techniques and architectures.

Retrieval Evaluation ✔ Precision@K ✔ Recall@K ✔ MRR ✔ Hit Rate ✔ NDCG

10 min

Build, optimize, and deploy production-grade enterprise RAG systems leveraging Retrieval Evaluation techniques and architectures.

Generation Evaluation ✔ Answer relevance ✔ Faithfulness ✔ Groundedness ✔ Context utilization ✔ Citation correctness ✔ Completeness

10 min

Build, optimize, and deploy production-grade enterprise RAG systems leveraging Generation Evaluation techniques and architectures.

End-to-End Evaluation ✔ Question ↓ ✔ Retriever Quality ↓ ✔ Context Quality ↓ ✔ Answer Quality

10 min

Build, optimize, and deploy production-grade enterprise RAG systems leveraging End-to-End Evaluation techniques and architectures.

Evaluation Approaches ✔ Human evaluation ✔ Rule-based evaluation ✔ Similarity-based evaluation ✔ LLM-as-a-judge ✔ Reference-based evaluation ✔ Reference-free evaluation

10 min

Build, optimize, and deploy production-grade enterprise RAG systems leveraging Evaluation Approaches techniques and architectures.

Framework Awareness Examples may include: ✔ RAGAS ✔ DeepEval ✔ custom evaluators

10 min

Build, optimize, and deploy production-grade enterprise RAG systems leveraging Framework Awareness techniques and architectures.

Regression Testing

10 min

Build, optimize, and deploy production-grade enterprise RAG systems leveraging Regression Testing techniques and architectures.

Threats ✔ Prompt injection from documents ✔ Indirect prompt injection ✔ Data poisoning ✔ Sensitive information leakage ✔ Cross-tenant data leakage ✔ Unauthorized retrieval ✔ PII exposure ✔ Malicious uploaded files

10 min Preview

Build, optimize, and deploy production-grade enterprise RAG systems leveraging Threats techniques and architectures.

Retrieval Authorization ✔ RBAC ✔ ABAC concepts ✔ document-level permissions ✔ tenant isolation ✔ encryption ✔ secrets management ✔ audit trails ✔ PII filtering ✔ content sanitization

10 min

Build, optimize, and deploy production-grade enterprise RAG systems leveraging Retrieval Authorization techniques and architectures.

Latency Breakdown ✔ Embedding latency ✔ Search latency ✔ Reranking latency ✔ LLM latency ✔ concurrent requests ✔ connection pooling ✔ async I/O ✔ caching ✔ semantic caching ✔ batch ingestion ✔ batch embeddings

10 min Preview

Build, optimize, and deploy production-grade enterprise RAG systems leveraging Latency Breakdown techniques and architectures.

Cost Cost = Embedding + Vector DB + Reranking + LLM Input Tokens + LLM Output Tokens + Infrastructure

10 min

Build, optimize, and deploy production-grade enterprise RAG systems leveraging Cost techniques and architectures.

Tradeoffs ✔ Top-K vs tokens ✔ chunk size vs index size ✔ reranking vs latency ✔ model size vs quality ✔ hosted vs open-source models

10 min

Build, optimize, and deploy production-grade enterprise RAG systems leveraging Tradeoffs techniques and architectures.

Production Architecture ✔ Fastapi Integration ✔ Sync Vs Async Architecture ✔ Docker ✔ Health Checks ✔ Readiness Checks ✔ Environment Configuration ✔ Secrets ✔ Horizontal Scaling ✔ Ci/Cd Concepts

10 min Preview

Build, optimize, and deploy production-grade enterprise RAG systems leveraging Production Architecture techniques and architectures.

Monitoring ✔ Request Latency ✔ Retrieval Latency ✔ Generation Latency ✔ Token Consumption ✔ Retrieval Scores ✔ Empty Retrievals ✔ Answer Abstention ✔ User Feedback ✔ Failure Rate ✔ Cost/Request

10 min

Build, optimize, and deploy production-grade enterprise RAG systems leveraging Monitoring techniques and architectures.

Distributed Tracing Concepts

10 min

Build, optimize, and deploy production-grade enterprise RAG systems leveraging Distributed Tracing Concepts techniques and architectures.

Production Capstone Project :Enterprise Knowledge Assistant

10 min Preview

Build, optimize, and deploy production-grade enterprise RAG systems leveraging Production Capstone Project :Enterprise Knowledge Assistant techniques and architectures.

In case you are thinking of beginning your IT career, Retrieval Augmented Generation (RAG) is the best course program to start and our Retrieval Augmented Generation Rag in Sector39 Near Unitech Cyber Park, Gurgaon is structured in such a way that you will be job ready on the first day after course completion.

Course Description

Prerequisites

Python

Llm Basics

Skills You'll Gain

Artificial Intelligence Model Evaluation Embeddings Retrieval-Augmented Generation Application Security Large Language Modeling System Monitoring Fine-Tuning Llm Application Vector Databases

Your Instructors

Manoj Yadav

Lead Instructor

Tech Consultant

15+ Years Experience in Python,Unix,Database ,AI, ML, And Backend Systems For Developing Solutions. Total Expereince in teaching 15

⭐ 4.1 (121 Reviews)

👨‍🎓 1200 Students

📚 12 Courses

Student Reviews

4.9 (5 Rating or 4.8)

Manish Kumar

★ ★ ★ ★ ★

"The course provides practical exposure to retrieval-augmented generation, embeddings, chunking, vector databases, retrieval, reranking, and LLM integration. The trainer explains architecture clearly and uses practical examples, helping learners understand how to build grounded AI applications."

Amit Sharma

★ ★ ★ ★ ★

"Learners build practical understanding of document ingestion, chunking, embeddings, vector search, retrieval, and response generation. Trainer demonstrations connect individual components into complete pipelines, providing valuable experience for developing production-oriented knowledge assistants and enterprise AI solutions."

Dipesh Pandey

★ ★ ★ ★ ★

"A practical program covering essential RAG architecture and implementation concepts. Learners understand how retrieval improves factual grounding and reduces unsupported responses. Hands-on exercises and trainer expertise provide strong preparation for enterprise AI and knowledge-management projects."

Fateh Singh

★ ★ ★ ★ ☆

"The instructor explains RAG components systematically and demonstrates complete retrieval workflows. Learners gain practical exposure to embeddings, vector stores, chunking, and prompt integration. Project-oriented teaching makes complex architecture concepts easier to apply professionally."

Niharika Singh

★ ★ ★ ★ ★

"The course delivers practical RAG development skills relevant to enterprise GenAI applications. Strong technical instruction, implementation exercises, and architecture discussions help learners build confidence designing document-based AI assistants and scalable retrieval workflows."

FAQ

🔹 Is this course available online or offline?

Yes, course is available in both modes.

🔹 Certificate of completion?

Yes, shareable digital certificate.

🔹 Can i make fee payments in parts ?

Yes, Few basis , we allow candidates to pay fee in parts.

🔹 Projects included?

5 major minor portfolio projects.

🔹 Can you provide guaranteed placement after the course ?

Yes, we provide you the assured placement. we have a dedicated team for placement assistance.

Career Outcomes

Career outcomes will be added soon.

₹500 *Off on one-time payment

✨ 5-day money-back guarantee

Includes free 2-day preview session

Personalized Learning Roadmap
AI-Powered Learning Assistant
Hands-on Projects
Job-Ready Skills
Verified Certificate
24/7 Q&A/ Project Support

Course Features

58 Hrs.+ Sessions

51+ Exercises

Resources Kit

Daily Quiz-Assignments

Earn a Verified Certificate

Shareable on LinkedIn & Resume

Industry Recognized Verified by BMLC

❤️ We Care & Build Your Confidence

1-on-1 Mentorship: Dedicated professional mentors guide you through every challenge.

Peer Learning Community: Join 1k+ learners in weekly code reviews.

Confidence Booster: Project-based learning with real-world simulations.

🎯 Latest Job Matches For You

Python Developer

TechCorp • Remote

New

AI Engineer

InnovateAI • Bangalore

Urgent

Backend Architect

ScaleUp • Hybrid

Top Match

💰 Salary Earned By Developers

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Upcoming Course Events

Live & Interactive-Offline

Oct

Coding session

Agentic AI Session

Praveen Y

01:00 PM - 01:00 PM

Build Agents Quickly

45 attending

*All events are recorded and available for enrolled students

Retrieval Augmented Generation (Rag)